diff --git a/.gitignore b/.gitignore
index d36a28cc6f4ad9898b6d8b4ae57ed017617073ce..3b4f12f78d9352b81f0778080d5e472f836182ce 100644
--- a/.gitignore
+++ b/.gitignore
@@ -16,3 +16,7 @@ log
 *.swo
 /js/tmp/
 /conf/was_dev_erose.json
+conf/tab_1.json
+conf/tab_2.json
+conf/tab_3.json
+
diff --git a/assets/bundle.js b/assets/bundle.js
deleted file mode 100644
index 184bb888208ba4ce071e4db2e879829e5a0ad5b0..0000000000000000000000000000000000000000
--- a/assets/bundle.js
+++ /dev/null
@@ -1,2 +0,0 @@
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self&&self||"undefined"!=typeof window&&window||e.content);t.exports&&(t.exports.saveAs=n)});L.Control.EasyPrint=L.Control.extend({options:{title:"Print map",position:"topleft",sizeModes:["Current"],filename:"map",exportOnly:!1,hidden:!1,tileWait:500,hideControlContainer:!0,customWindowTitle:window.document.title,spinnerBgCOlor:"#0DC5C1",customSpinnerClass:"epLoader",defaultSizeTitles:{Current:"Current Size",A4Landscape:"A4 Landscape",A4Portrait:"A4 Portrait"}},onAdd:function(){this.mapContainer=this._map.getContainer(),this.options.sizeModes=this.options.sizeModes.map(function(t){return"Current"===t?{name:this.options.defaultSizeTitles.Current,className:"CurrentSize"}:"A4Landscape"===t?{height:this._a4PageSize.height,width:this._a4PageSize.width,name:this.options.defaultSizeTitles.A4Landscape,className:"A4Landscape page"}:"A4Portrait"===t?{height:this._a4PageSize.width,width:this._a4PageSize.height,name:this.options.defaultSizeTitles.A4Portrait,className:"A4Portrait 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visible=none"),this._page.document.write(this._createSpinner(this.options.customWindowTitle,this.options.customSpinnerClass,this.options.spinnerBgCOlor))),this.originalState={mapWidth:this.mapContainer.style.width,widthWasAuto:!1,widthWasPercentage:!1,mapHeight:this.mapContainer.style.height,zoom:this._map.getZoom(),center:this._map.getCenter()},"auto"===this.originalState.mapWidth?(this.originalState.mapWidth=this._map.getSize().x+"px",this.originalState.widthWasAuto=!0):this.originalState.mapWidth.includes("%")&&(this.originalState.percentageWidth=this.originalState.mapWidth,this.originalState.widthWasPercentage=!0,this.originalState.mapWidth=this._map.getSize().x+"px"),this._map.fire("easyPrint-start",{event:t}),this.options.hidden||this._togglePageSizeButtons({type:null}),this.options.hideControlContainer&&this._toggleControls();var n="string"!=typeof t?t.target.className:t;if("CurrentSize"===n)return this._printOpertion(n);this.outerContainer=this._createOuterContainer(this.mapContainer),this.originalState.widthWasAuto&&(this.outerContainer.style.width=this.originalState.mapWidth),this._createImagePlaceholder(n)},_createImagePlaceholder:function(t){var e=this;n.toPng(this.mapContainer,{width:parseInt(this.originalState.mapWidth.replace("px")),height:parseInt(this.originalState.mapHeight.replace("px"))}).then(function(n){e.blankDiv=document.createElement("div");var i=e.blankDiv;e.outerContainer.parentElement.insertBefore(i,e.outerContainer),i.className="epHolder",i.style.backgroundImage='url("'+n+'")',i.style.position="absolute",i.style.zIndex=1011,i.style.display="initial",i.style.width=e.originalState.mapWidth,i.style.height=e.originalState.mapHeight,e._resizeAndPrintMap(t)}).catch(function(t){console.error("oops, something went wrong!",t)})},_resizeAndPrintMap:function(t){this.outerContainer.style.opacity=0;var e=this.options.sizeModes.filter(function(e){return e.className===t});e=e[0],this.mapContainer.style.width=e.width+"px",this.mapContainer.style.height=e.height+"px",this.mapContainer.style.width>this.mapContainer.style.height?this.orientation="portrait":this.orientation="landscape",this._map.setView(this.originalState.center),this._map.setZoom(this.originalState.zoom),this._map.invalidateSize(),this.options.tileLayer?this._pausePrint(t):this._printOpertion(t)},_pausePrint:function(t){var e=this,n=setInterval(function(){e.options.tileLayer.isLoading()||(clearInterval(n),e._printOpertion(t))},e.options.tileWait)},_printOpertion:function(t){var e=this,o=this.mapContainer.style.width;(this.originalState.widthWasAuto&&"CurrentSize"===t||this.originalState.widthWasPercentage&&"CurrentSize"===t)&&(o=this.originalState.mapWidth),n.toPng(e.mapContainer,{width:parseInt(o),height:parseInt(e.mapContainer.style.height.replace("px"))}).then(function(t){var n=e._dataURItoBlob(t);e.options.exportOnly?i.saveAs(n,e.options.filename+".png"):e._sendToBrowserPrint(t,e.orientation),e._toggleControls(!0),e.outerContainer&&(e.originalState.widthWasAuto?e.mapContainer.style.width="auto":e.originalState.widthWasPercentage?e.mapContainer.style.width=e.originalState.percentageWidth:e.mapContainer.style.width=e.originalState.mapWidth,e.mapContainer.style.height=e.originalState.mapHeight,e._removeOuterContainer(e.mapContainer,e.outerContainer,e.blankDiv),e._map.invalidateSize(),e._map.setView(e.originalState.center),e._map.setZoom(e.originalState.zoom)),e._map.fire("easyPrint-finished")}).catch(function(t){console.error("Print operation failed",t)})},_sendToBrowserPrint:function(t,e){this._page.resizeTo(600,800);var n=this._createNewWindow(t,e,this);this._page.document.body.innerHTML="",this._page.document.write(n),this._page.document.close()},_createSpinner:function(t,e,n){return"<html><head><title>"+t+"</title></head><body><style>\n      body{\n        background: "+n+";\n      }\n      .epLoader,\n      .epLoader:before,\n      .epLoader:after {\n        border-radius: 50%;\n      }\n      .epLoader {\n        color: #ffffff;\n        font-size: 11px;\n        text-indent: -99999em;\n        margin: 55px auto;\n        position: relative;\n        width: 10em;\n        height: 10em;\n        box-shadow: inset 0 0 0 1em;\n        -webkit-transform: translateZ(0);\n        -ms-transform: translateZ(0);\n        transform: translateZ(0);\n      }\n      .epLoader:before,\n      .epLoader:after {\n        position: absolute;\n        content: '';\n      }\n      .epLoader:before {\n        width: 5.2em;\n        height: 10.2em;\n        background: #0dc5c1;\n        border-radius: 10.2em 0 0 10.2em;\n        top: -0.1em;\n        left: -0.1em;\n        -webkit-transform-origin: 5.2em 5.1em;\n        transform-origin: 5.2em 5.1em;\n        -webkit-animation: load2 2s infinite ease 1.5s;\n        animation: load2 2s infinite ease 1.5s;\n      }\n      .epLoader:after {\n        width: 5.2em;\n        height: 10.2em;\n        background: #0dc5c1;\n        border-radius: 0 10.2em 10.2em 0;\n        top: -0.1em;\n        left: 5.1em;\n        -webkit-transform-origin: 0px 5.1em;\n        transform-origin: 0px 5.1em;\n        -webkit-animation: load2 2s infinite ease;\n        animation: load2 2s infinite ease;\n      }\n      @-webkit-keyframes load2 {\n        0% {\n          -webkit-transform: rotate(0deg);\n          transform: rotate(0deg);\n        }\n        100% {\n          -webkit-transform: rotate(360deg);\n          transform: rotate(360deg);\n        }\n      }\n      @keyframes load2 {\n        0% {\n          -webkit-transform: rotate(0deg);\n          transform: rotate(0deg);\n        }\n        100% {\n          -webkit-transform: rotate(360deg);\n          transform: rotate(360deg);\n        }\n      }\n      </style>\n    <div class=\""+e+'">Loading...</div></body></html>'},_createNewWindow:function(t,e,n){return"<html><head>\n        <style>@media print {\n          img { max-width: 98%!important; max-height: 98%!important; }\n          @page { size: "+e+";}}\n        </style>\n        <script>function step1(){\n        setTimeout('step2()', 10);}\n        function step2(){window.print();window.close()}\n        <\/script></head><body onload='step1()'>\n        <img src=\""+t+'" style="display:block; margin:auto;"></body></html>'},_createOuterContainer:function(t){var e=document.createElement("div");return t.parentNode.insertBefore(e,t),t.parentNode.removeChild(t),e.appendChild(t),e.style.width=t.style.width,e.style.height=t.style.height,e.style.display="inline-block",e.style.overflow="hidden",e},_removeOuterContainer:function(t,e,n){e.parentNode&&(e.parentNode.insertBefore(t,e),e.parentNode.removeChild(n),e.parentNode.removeChild(e))},_addCss:function(){var t=document.createElement("style");t.type="text/css",t.innerHTML=".leaflet-control-easyPrint-button { \n      background-image: 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diff --git a/assets/bundle.js.map b/assets/bundle.js.map
deleted file mode 100644
index 816e9ec9008bf3315abb50e08aa035fbf5ffa8a3..0000000000000000000000000000000000000000
--- a/assets/bundle.js.map
+++ /dev/null
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e=/url\\(['\"]?([^'\"]+?)['\"]?\\)/g;return{inlineAll:d,shouldProcess:a,impl:{readUrls:b,inline:c}}}function o(){function a(){return b(document).then(function(a){return Promise.all(a.map(function(a){return a.resolve()}))}).then(function(a){return a.join(\"\\n\")})}function b(){function a(a){return a.filter(function(a){return a.type===CSSRule.FONT_FACE_RULE}).filter(function(a){return r.shouldProcess(a.style.getPropertyValue(\"src\"))})}function b(a){var b=[];return a.forEach(function(a){try{q.asArray(a.cssRules||[]).forEach(b.push.bind(b))}catch(c){console.log(\"Error while reading CSS rules from \"+a.href,c.toString())}}),b}function c(a){return{resolve:function(){var b=(a.parentStyleSheet||{}).href;return r.inlineAll(a.cssText,b)},src:function(){return a.style.getPropertyValue(\"src\")}}}return Promise.resolve(q.asArray(document.styleSheets)).then(b).then(a).then(function(a){return a.map(c)})}return{resolveAll:a,impl:{readAll:b}}}function p(){function a(a){function b(b){return q.isDataUrl(a.src)?Promise.resolve():Promise.resolve(a.src).then(b||q.getAndEncode).then(function(b){return q.dataAsUrl(b,q.mimeType(a.src))}).then(function(b){return new Promise(function(c,d){a.onload=c,a.onerror=d,a.src=b})})}return{inline:b}}function b(c){function d(a){var b=a.style.getPropertyValue(\"background\");return b?r.inlineAll(b).then(function(b){a.style.setProperty(\"background\",b,a.style.getPropertyPriority(\"background\"))}).then(function(){return a}):Promise.resolve(a)}return c instanceof Element?d(c).then(function(){return c instanceof HTMLImageElement?a(c).inline():Promise.all(q.asArray(c.childNodes).map(function(a){return b(a)}))}):Promise.resolve(c)}return{inlineAll:b,impl:{newImage:a}}}var q=m(),r=n(),s=o(),t=p(),u={imagePlaceholder:void 0,cacheBust:!1},v={toSvg:b,toPng:d,toJpeg:e,toBlob:f,toPixelData:c,impl:{fontFaces:s,images:t,util:q,inliner:r,options:{}}};\"undefined\"!=typeof module?module.exports=v:a.domtoimage=v}(this);","/* FileSaver.js\n * A saveAs() FileSaver implementation.\n * 1.3.2\n * 2016-06-16 18:25:19\n *\n * By Eli Grey, http://eligrey.com\n * License: MIT\n *   See https://github.com/eligrey/FileSaver.js/blob/master/LICENSE.md\n */\n\n/*global self */\n/*jslint bitwise: true, indent: 4, laxbreak: true, laxcomma: true, smarttabs: true, plusplus: true */\n\n/*! @source http://purl.eligrey.com/github/FileSaver.js/blob/master/FileSaver.js */\n\nvar saveAs = saveAs || (function(view) {\n\t\"use strict\";\n\t// IE <10 is explicitly unsupported\n\tif (typeof view === \"undefined\" || typeof navigator !== \"undefined\" && /MSIE [1-9]\\./.test(navigator.userAgent)) {\n\t\treturn;\n\t}\n\tvar\n\t\t  doc = view.document\n\t\t  // only get URL when necessary in case Blob.js hasn't overridden it yet\n\t\t, get_URL = function() {\n\t\t\treturn view.URL || view.webkitURL || view;\n\t\t}\n\t\t, save_link = doc.createElementNS(\"http://www.w3.org/1999/xhtml\", \"a\")\n\t\t, can_use_save_link = \"download\" in save_link\n\t\t, click = function(node) {\n\t\t\tvar event = new MouseEvent(\"click\");\n\t\t\tnode.dispatchEvent(event);\n\t\t}\n\t\t, is_safari = /constructor/i.test(view.HTMLElement) || view.safari\n\t\t, is_chrome_ios =/CriOS\\/[\\d]+/.test(navigator.userAgent)\n\t\t, throw_outside = function(ex) {\n\t\t\t(view.setImmediate || view.setTimeout)(function() {\n\t\t\t\tthrow ex;\n\t\t\t}, 0);\n\t\t}\n\t\t, force_saveable_type = \"application/octet-stream\"\n\t\t// the Blob API is fundamentally broken as there is no \"downloadfinished\" event to subscribe to\n\t\t, arbitrary_revoke_timeout = 1000 * 40 // in ms\n\t\t, revoke = function(file) {\n\t\t\tvar revoker = function() {\n\t\t\t\tif (typeof file === \"string\") { // file is an object URL\n\t\t\t\t\tget_URL().revokeObjectURL(file);\n\t\t\t\t} else { // file is a File\n\t\t\t\t\tfile.remove();\n\t\t\t\t}\n\t\t\t};\n\t\t\tsetTimeout(revoker, arbitrary_revoke_timeout);\n\t\t}\n\t\t, dispatch = function(filesaver, event_types, event) {\n\t\t\tevent_types = [].concat(event_types);\n\t\t\tvar i = event_types.length;\n\t\t\twhile (i--) {\n\t\t\t\tvar listener = filesaver[\"on\" + event_types[i]];\n\t\t\t\tif (typeof listener === \"function\") {\n\t\t\t\t\ttry {\n\t\t\t\t\t\tlistener.call(filesaver, event || filesaver);\n\t\t\t\t\t} catch (ex) {\n\t\t\t\t\t\tthrow_outside(ex);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t, auto_bom = function(blob) {\n\t\t\t// prepend BOM for UTF-8 XML and text/* types (including HTML)\n\t\t\t// note: your browser will automatically convert UTF-16 U+FEFF to EF BB BF\n\t\t\tif (/^\\s*(?:text\\/\\S*|application\\/xml|\\S*\\/\\S*\\+xml)\\s*;.*charset\\s*=\\s*utf-8/i.test(blob.type)) {\n\t\t\t\treturn new Blob([String.fromCharCode(0xFEFF), blob], {type: blob.type});\n\t\t\t}\n\t\t\treturn blob;\n\t\t}\n\t\t, FileSaver = function(blob, name, no_auto_bom) {\n\t\t\tif (!no_auto_bom) {\n\t\t\t\tblob = auto_bom(blob);\n\t\t\t}\n\t\t\t// First try a.download, then web filesystem, then object URLs\n\t\t\tvar\n\t\t\t\t  filesaver = this\n\t\t\t\t, type = blob.type\n\t\t\t\t, force = type === force_saveable_type\n\t\t\t\t, object_url\n\t\t\t\t, dispatch_all = function() {\n\t\t\t\t\tdispatch(filesaver, \"writestart progress write writeend\".split(\" \"));\n\t\t\t\t}\n\t\t\t\t// on any filesys errors revert to saving with object URLs\n\t\t\t\t, fs_error = function() {\n\t\t\t\t\tif ((is_chrome_ios || (force && is_safari)) && view.FileReader) {\n\t\t\t\t\t\t// Safari doesn't allow downloading of blob urls\n\t\t\t\t\t\tvar reader = new FileReader();\n\t\t\t\t\t\treader.onloadend = function() {\n\t\t\t\t\t\t\tvar url = is_chrome_ios ? reader.result : reader.result.replace(/^data:[^;]*;/, 'data:attachment/file;');\n\t\t\t\t\t\t\tvar popup = view.open(url, '_blank');\n\t\t\t\t\t\t\tif(!popup) view.location.href = url;\n\t\t\t\t\t\t\turl=undefined; // release reference before dispatching\n\t\t\t\t\t\t\tfilesaver.readyState = filesaver.DONE;\n\t\t\t\t\t\t\tdispatch_all();\n\t\t\t\t\t\t};\n\t\t\t\t\t\treader.readAsDataURL(blob);\n\t\t\t\t\t\tfilesaver.readyState = filesaver.INIT;\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t\t// don't create more object URLs than needed\n\t\t\t\t\tif (!object_url) {\n\t\t\t\t\t\tobject_url = get_URL().createObjectURL(blob);\n\t\t\t\t\t}\n\t\t\t\t\tif (force) {\n\t\t\t\t\t\tview.location.href = object_url;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar opened = view.open(object_url, \"_blank\");\n\t\t\t\t\t\tif (!opened) {\n\t\t\t\t\t\t\t// Apple does not allow window.open, see https://developer.apple.com/library/safari/documentation/Tools/Conceptual/SafariExtensionGuide/WorkingwithWindowsandTabs/WorkingwithWindowsandTabs.html\n\t\t\t\t\t\t\tview.location.href = object_url;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tfilesaver.readyState = filesaver.DONE;\n\t\t\t\t\tdispatch_all();\n\t\t\t\t\trevoke(object_url);\n\t\t\t\t}\n\t\t\t;\n\t\t\tfilesaver.readyState = filesaver.INIT;\n\n\t\t\tif (can_use_save_link) {\n\t\t\t\tobject_url = get_URL().createObjectURL(blob);\n\t\t\t\tsetTimeout(function() {\n\t\t\t\t\tsave_link.href = object_url;\n\t\t\t\t\tsave_link.download = name;\n\t\t\t\t\tclick(save_link);\n\t\t\t\t\tdispatch_all();\n\t\t\t\t\trevoke(object_url);\n\t\t\t\t\tfilesaver.readyState = filesaver.DONE;\n\t\t\t\t});\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tfs_error();\n\t\t}\n\t\t, FS_proto = FileSaver.prototype\n\t\t, saveAs = function(blob, name, no_auto_bom) {\n\t\t\treturn new FileSaver(blob, name || blob.name || \"download\", no_auto_bom);\n\t\t}\n\t;\n\t// IE 10+ (native saveAs)\n\tif (typeof navigator !== \"undefined\" && navigator.msSaveOrOpenBlob) {\n\t\treturn function(blob, name, no_auto_bom) {\n\t\t\tname = name || blob.name || \"download\";\n\n\t\t\tif (!no_auto_bom) {\n\t\t\t\tblob = auto_bom(blob);\n\t\t\t}\n\t\t\treturn navigator.msSaveOrOpenBlob(blob, name);\n\t\t};\n\t}\n\n\tFS_proto.abort = function(){};\n\tFS_proto.readyState = FS_proto.INIT = 0;\n\tFS_proto.WRITING = 1;\n\tFS_proto.DONE = 2;\n\n\tFS_proto.error =\n\tFS_proto.onwritestart =\n\tFS_proto.onprogress =\n\tFS_proto.onwrite =\n\tFS_proto.onabort =\n\tFS_proto.onerror =\n\tFS_proto.onwriteend =\n\t\tnull;\n\n\treturn saveAs;\n}(\n\t   typeof self !== \"undefined\" && self\n\t|| typeof window !== \"undefined\" && window\n\t|| this.content\n));\n// `self` is undefined in Firefox for Android content script context\n// while `this` is nsIContentFrameMessageManager\n// with an attribute `content` that corresponds to the window\n\nif (typeof module !== \"undefined\" && module.exports) {\n  module.exports.saveAs = saveAs;\n} else if ((typeof define !== \"undefined\" && define !== null) && (define.amd !== null)) {\n  define(\"FileSaver.js\", function() {\n    return saveAs;\n  });\n}\n","var domtoimage = require('dom-to-image');\r\nvar fileSaver = require('file-saver');\r\n\r\nL.Control.EasyPrint = L.Control.extend({\r\n  options: {\r\n    title: 'Print map',\r\n    position: 'topleft',\r\n    sizeModes: ['Current'],\r\n    filename: 'map',\r\n    exportOnly: false,\r\n    hidden: false,\r\n    tileWait: 500,\r\n    hideControlContainer: true,\r\n    customWindowTitle: window.document.title,\r\n    spinnerBgCOlor: '#0DC5C1',\r\n    customSpinnerClass: 'epLoader',\r\n    defaultSizeTitles: {\r\n      Current: 'Current Size',\r\n      A4Landscape: 'A4 Landscape',\r\n      A4Portrait: 'A4 Portrait'\r\n    }\r\n  },\r\n\r\n  onAdd: function () { \r\n    this.mapContainer = this._map.getContainer();\r\n    this.options.sizeModes = this.options.sizeModes.map(function (sizeMode) {\r\n      if (sizeMode === 'Current') {\r\n        return {\r\n          name: this.options.defaultSizeTitles.Current,\r\n          className: 'CurrentSize'\r\n        }\r\n      }\r\n      if (sizeMode === 'A4Landscape') {\r\n        return {\r\n          height: this._a4PageSize.height,\r\n          width: this._a4PageSize.width,\r\n          name: this.options.defaultSizeTitles.A4Landscape,\r\n          className: 'A4Landscape page'\r\n        }\r\n      }\r\n      if (sizeMode === 'A4Portrait') {\r\n        return {\r\n          height: this._a4PageSize.width,\r\n          width: this._a4PageSize.height,\r\n          name: this.options.defaultSizeTitles.A4Portrait,\r\n          className: 'A4Portrait page'\r\n        }\r\n      };\r\n      return sizeMode;\r\n    }, this);\r\n    \r\n    var container = L.DomUtil.create('div', 'leaflet-control-easyPrint leaflet-bar leaflet-control');\r\n    if (!this.options.hidden) {\r\n      this._addCss();\r\n\r\n      L.DomEvent.addListener(container, 'mouseover', this._togglePageSizeButtons, this);\r\n      L.DomEvent.addListener(container, 'mouseout', this._togglePageSizeButtons, this);\r\n\r\n      var btnClass = 'leaflet-control-easyPrint-button'\r\n      if (this.options.exportOnly) btnClass = btnClass + '-export'\r\n\r\n      this.link = L.DomUtil.create('a', btnClass, container);\r\n      this.link.id = \"leafletEasyPrint\";\r\n      this.link.title = this.options.title;\r\n      this.holder = L.DomUtil.create('ul', 'easyPrintHolder', container);\r\n\r\n      this.options.sizeModes.forEach(function (sizeMode) {\r\n        var btn = L.DomUtil.create('li', 'easyPrintSizeMode', this.holder);\r\n        btn.title = sizeMode.name;\r\n        var link = L.DomUtil.create('a', sizeMode.className, btn);\r\n        L.DomEvent.addListener(btn, 'click', this.printMap, this);\r\n      }, this);\r\n\r\n      L.DomEvent.disableClickPropagation(container);\r\n    }\r\n    return container;\r\n  },\r\n\r\n  printMap: function (event, filename) {\r\n    if (filename) {\r\n      this.options.filename = filename\r\n    }\r\n    if (!this.options.exportOnly) {\r\n      this._page = window.open(\"\", \"_blank\", 'toolbar=no,status=no,menubar=no,scrollbars=no,resizable=no,left=10, top=10, width=200, height=250, visible=none');\r\n      this._page.document.write(this._createSpinner(this.options.customWindowTitle, this.options.customSpinnerClass, this.options.spinnerBgCOlor));\r\n    }\r\n    this.originalState = {\r\n      mapWidth: this.mapContainer.style.width,\r\n      widthWasAuto: false,\r\n      widthWasPercentage: false,\r\n      mapHeight: this.mapContainer.style.height,\r\n      zoom: this._map.getZoom(),\r\n      center: this._map.getCenter()\r\n    };\r\n    if (this.originalState.mapWidth === 'auto') {\r\n      this.originalState.mapWidth = this._map.getSize().x  + 'px'\r\n      this.originalState.widthWasAuto = true\r\n    } else if (this.originalState.mapWidth.includes('%')) {\r\n      this.originalState.percentageWidth = this.originalState.mapWidth\r\n      this.originalState.widthWasPercentage = true\r\n      this.originalState.mapWidth = this._map.getSize().x  + 'px'\r\n    }\r\n    this._map.fire(\"easyPrint-start\", { event: event });\r\n    if (!this.options.hidden) {\r\n      this._togglePageSizeButtons({type: null});\r\n    }\r\n    if (this.options.hideControlContainer) {\r\n      this._toggleControls();    \r\n    }\r\n    var sizeMode = typeof event !== 'string' ? event.target.className : event;\r\n    if (sizeMode === 'CurrentSize') {\r\n      return this._printOpertion(sizeMode);\r\n    }\r\n    this.outerContainer = this._createOuterContainer(this.mapContainer)\r\n    if (this.originalState.widthWasAuto) {\r\n      this.outerContainer.style.width = this.originalState.mapWidth\r\n    }\r\n    this._createImagePlaceholder(sizeMode)\r\n  },\r\n\r\n  _createImagePlaceholder: function (sizeMode) {\r\n    var plugin = this;\r\n    domtoimage.toPng(this.mapContainer, {\r\n        width: parseInt(this.originalState.mapWidth.replace('px')),\r\n        height: parseInt(this.originalState.mapHeight.replace('px'))\r\n      })\r\n      .then(function (dataUrl) {\r\n        plugin.blankDiv = document.createElement(\"div\");\r\n        var blankDiv = plugin.blankDiv;\r\n        plugin.outerContainer.parentElement.insertBefore(blankDiv, plugin.outerContainer);\r\n        blankDiv.className = 'epHolder';\r\n        blankDiv.style.backgroundImage = 'url(\"' + dataUrl + '\")';\r\n        blankDiv.style.position = 'absolute';\r\n        blankDiv.style.zIndex = 1011;\r\n        blankDiv.style.display = 'initial';\r\n        blankDiv.style.width = plugin.originalState.mapWidth;\r\n        blankDiv.style.height = plugin.originalState.mapHeight;\r\n        plugin._resizeAndPrintMap(sizeMode);\r\n      })\r\n      .catch(function (error) {\r\n          console.error('oops, something went wrong!', error);\r\n      });\r\n  },\r\n\r\n  _resizeAndPrintMap: function (sizeMode) {\r\n    this.outerContainer.style.opacity = 0;\r\n    var pageSize = this.options.sizeModes.filter(function (item) {\r\n      return item.className === sizeMode\r\n    });\r\n    pageSize = pageSize[0]\r\n    this.mapContainer.style.width = pageSize.width + 'px';\r\n    this.mapContainer.style.height = pageSize.height + 'px';\r\n    if (this.mapContainer.style.width > this.mapContainer.style.height) {\r\n      this.orientation = 'portrait';\r\n    } else {\r\n      this.orientation = 'landscape';\r\n    }\r\n    this._map.setView(this.originalState.center);\r\n    this._map.setZoom(this.originalState.zoom);\r\n    this._map.invalidateSize();\r\n    if (this.options.tileLayer) {\r\n      this._pausePrint(sizeMode)\r\n    } else {\r\n      this._printOpertion(sizeMode)\r\n    }\r\n  },\r\n\r\n  _pausePrint: function (sizeMode) {\r\n    var plugin = this\r\n    var loadingTest = setInterval(function () { \r\n      if(!plugin.options.tileLayer.isLoading()) {\r\n        clearInterval(loadingTest);\r\n        plugin._printOpertion(sizeMode)\r\n      }\r\n    }, plugin.options.tileWait);\r\n  },\r\n\r\n  _printOpertion: function (sizemode) {\r\n    var plugin = this;\r\n    var widthForExport = this.mapContainer.style.width\r\n    if (this.originalState.widthWasAuto && sizemode === 'CurrentSize' || this.originalState.widthWasPercentage && sizemode === 'CurrentSize') {\r\n      widthForExport = this.originalState.mapWidth\r\n    }\r\n    domtoimage.toPng(plugin.mapContainer, {\r\n        width: parseInt(widthForExport),\r\n        height: parseInt(plugin.mapContainer.style.height.replace('px'))\r\n      })\r\n      .then(function (dataUrl) {\r\n          var blob = plugin._dataURItoBlob(dataUrl);\r\n          if (plugin.options.exportOnly) {\r\n            fileSaver.saveAs(blob, plugin.options.filename + '.png');\r\n          } else {\r\n            plugin._sendToBrowserPrint(dataUrl, plugin.orientation);\r\n          }\r\n          plugin._toggleControls(true);\r\n\r\n          if (plugin.outerContainer) {\r\n            if (plugin.originalState.widthWasAuto) {\r\n              plugin.mapContainer.style.width = 'auto'\r\n            } else if (plugin.originalState.widthWasPercentage) {\r\n              plugin.mapContainer.style.width = plugin.originalState.percentageWidth\r\n            }\r\n            else {\r\n              plugin.mapContainer.style.width = plugin.originalState.mapWidth;              \r\n            }\r\n            plugin.mapContainer.style.height = plugin.originalState.mapHeight;\r\n            plugin._removeOuterContainer(plugin.mapContainer, plugin.outerContainer, plugin.blankDiv)\r\n            plugin._map.invalidateSize();\r\n            plugin._map.setView(plugin.originalState.center);\r\n            plugin._map.setZoom(plugin.originalState.zoom);\r\n          }\r\n          plugin._map.fire(\"easyPrint-finished\");\r\n      })\r\n      .catch(function (error) {\r\n          console.error('Print operation failed', error);\r\n      }); \r\n  },\r\n\r\n  _sendToBrowserPrint: function (img, orientation) {\r\n    this._page.resizeTo(600, 800); \r\n    var pageContent = this._createNewWindow(img, orientation, this)\r\n    this._page.document.body.innerHTML = ''\r\n    this._page.document.write(pageContent);\r\n    this._page.document.close();  \r\n  },\r\n\r\n  _createSpinner: function (title, spinnerClass, spinnerColor) {\r\n    return `<html><head><title>`+ title + `</title></head><body><style>\r\n      body{\r\n        background: ` + spinnerColor + `;\r\n      }\r\n      .epLoader,\r\n      .epLoader:before,\r\n      .epLoader:after {\r\n        border-radius: 50%;\r\n      }\r\n      .epLoader {\r\n        color: #ffffff;\r\n        font-size: 11px;\r\n        text-indent: -99999em;\r\n        margin: 55px auto;\r\n        position: relative;\r\n        width: 10em;\r\n        height: 10em;\r\n        box-shadow: inset 0 0 0 1em;\r\n        -webkit-transform: translateZ(0);\r\n        -ms-transform: translateZ(0);\r\n        transform: translateZ(0);\r\n      }\r\n      .epLoader:before,\r\n      .epLoader:after {\r\n        position: absolute;\r\n        content: '';\r\n      }\r\n      .epLoader:before {\r\n        width: 5.2em;\r\n        height: 10.2em;\r\n        background: #0dc5c1;\r\n        border-radius: 10.2em 0 0 10.2em;\r\n        top: -0.1em;\r\n        left: -0.1em;\r\n        -webkit-transform-origin: 5.2em 5.1em;\r\n        transform-origin: 5.2em 5.1em;\r\n        -webkit-animation: load2 2s infinite ease 1.5s;\r\n        animation: load2 2s infinite ease 1.5s;\r\n      }\r\n      .epLoader:after {\r\n        width: 5.2em;\r\n        height: 10.2em;\r\n        background: #0dc5c1;\r\n        border-radius: 0 10.2em 10.2em 0;\r\n        top: -0.1em;\r\n        left: 5.1em;\r\n        -webkit-transform-origin: 0px 5.1em;\r\n        transform-origin: 0px 5.1em;\r\n        -webkit-animation: load2 2s infinite ease;\r\n        animation: load2 2s infinite ease;\r\n      }\r\n      @-webkit-keyframes load2 {\r\n        0% {\r\n          -webkit-transform: rotate(0deg);\r\n          transform: rotate(0deg);\r\n        }\r\n        100% {\r\n          -webkit-transform: rotate(360deg);\r\n          transform: rotate(360deg);\r\n        }\r\n      }\r\n      @keyframes load2 {\r\n        0% {\r\n          -webkit-transform: rotate(0deg);\r\n          transform: rotate(0deg);\r\n        }\r\n        100% {\r\n          -webkit-transform: rotate(360deg);\r\n          transform: rotate(360deg);\r\n        }\r\n      }\r\n      </style>\r\n    <div class=\"`+spinnerClass+`\">Loading...</div></body></html>`;\r\n  },\r\n\r\n  _createNewWindow: function (img, orientation, plugin) {\r\n    return `<html><head>\r\n        <style>@media print {\r\n          img { max-width: 98%!important; max-height: 98%!important; }\r\n          @page { size: ` + orientation + `;}}\r\n        </style>\r\n        <script>function step1(){\r\n        setTimeout('step2()', 10);}\r\n        function step2(){window.print();window.close()}\r\n        </script></head><body onload='step1()'>\r\n        <img src=\"` + img + `\" style=\"display:block; margin:auto;\"></body></html>`;\r\n  },\r\n\r\n  _createOuterContainer: function (mapDiv) {\r\n    var outerContainer = document.createElement('div'); \r\n    mapDiv.parentNode.insertBefore(outerContainer, mapDiv); \r\n    mapDiv.parentNode.removeChild(mapDiv);\r\n    outerContainer.appendChild(mapDiv);\r\n    outerContainer.style.width = mapDiv.style.width;\r\n    outerContainer.style.height = mapDiv.style.height;\r\n    outerContainer.style.display = 'inline-block'\r\n    outerContainer.style.overflow = 'hidden';\r\n    return outerContainer;\r\n  },\r\n\r\n  _removeOuterContainer: function (mapDiv, outerContainer, blankDiv) {\r\n    if (outerContainer.parentNode) {\r\n      outerContainer.parentNode.insertBefore(mapDiv, outerContainer);\r\n      outerContainer.parentNode.removeChild(blankDiv);\r\n      outerContainer.parentNode.removeChild(outerContainer);      \r\n    }\r\n  },\r\n\r\n  _addCss: function () {\r\n    var css = document.createElement(\"style\");\r\n    css.type = \"text/css\";\r\n    css.innerHTML = `.leaflet-control-easyPrint-button { \r\n      background-image: url(data:image/svg+xml;utf8;base64,PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iaXNvLTg4NTktMSI/Pgo8IS0tIEdlbmVyYXRvcjogQWRvYmUgSWxsdXN0cmF0b3IgMTYuMC4wLCBTVkcgRXhwb3J0IFBsdWctSW4gLiBTVkcgVmVyc2lvbjogNi4wMCBCdWlsZCAwKSAgLS0+CjwhRE9DVFlQRSBzdmcgUFVCTElDICItLy9XM0MvL0RURCBTVkcgMS4xLy9FTiIgImh0dHA6Ly93d3cudzMub3JnL0dyYXBoaWNzL1NWRy8xLjEvRFREL3N2ZzExLmR0ZCI+CjxzdmcgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiB4bWxuczp4bGluaz0iaHR0cDovL3d3dy53My5vcmcvMTk5OS94bGluayIgdmVyc2lvbj0iMS4xIiBpZD0iQ2FwYV8xIiB4PSIwcHgiIHk9IjBweCIgd2lkdGg9IjE2cHgiIGhlaWdodD0iMTZweCIgdmlld0JveD0iMCAwIDUxMiA1MTIiIHN0eWxlPSJlbmFibGUtYmFja2dyb3VuZDpuZXcgMCAwIDUxMiA1MTI7IiB4bWw6c3BhY2U9InByZXNlcnZlIj4KPGc+Cgk8cGF0aCBkPSJNMTI4LDMyaDI1NnY2NEgxMjhWMzJ6IE00ODAsMTI4SDMyYy0xNy42LDAtMzIsMTQuNC0zMiwzMnYxNjBjMCwxNy42LDE0LjM5OCwzMiwzMiwzMmg5NnYxMjhoMjU2VjM1Mmg5NiAgIGMxNy42LDAsMzItMTQuNCwzMi0zMlYxNjBDNTEyLDE0Mi40LDQ5Ny42LDEyOCw0ODAsMTI4eiBNMzUyLDQ0OEgxNjBWMjg4aDE5MlY0NDh6IE00ODcuMTk5LDE3NmMwLDEyLjgxMy0xMC4zODcsMjMuMi0yMy4xOTcsMjMuMiAgIGMtMTIuODEyLDAtMjMuMjAxLTEwLjM4Ny0yMy4yMDEtMjMuMnMxMC4zODktMjMuMiwyMy4xOTktMjMuMkM0NzYuODE0LDE1Mi44LDQ4Ny4xOTksMTYzLjE4Nyw0ODcuMTk5LDE3NnoiIGZpbGw9IiMwMDAwMDAiLz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8Zz4KPC9nPgo8L3N2Zz4K);\r\n      background-size: 16px 16px; \r\n      cursor: pointer; \r\n    }\r\n    .leaflet-control-easyPrint-button-export { \r\n      background-image: url(data:image/svg+xml;utf8;base64,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);\r\n      background-size: 16px 16px; \r\n      cursor: pointer; \r\n    }\r\n    .easyPrintHolder a {\r\n      background-size: 16px 16px;\r\n      cursor: pointer;\r\n    }\r\n    .easyPrintHolder .CurrentSize{\r\n      background-image: url(data:image/svg+xml;utf8;base64,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)\r\n    }\r\n    .easyPrintHolder .page {\r\n      background-image: url(data:image/svg+xml;utf8;base64,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);\r\n    }\r\n    .easyPrintHolder .A4Landscape { \r\n      transform: rotate(-90deg);\r\n    }\r\n\r\n    .leaflet-control-easyPrint-button{\r\n      display: inline-block;\r\n    }\r\n    .easyPrintHolder{\r\n      margin-top:-31px;\r\n      margin-bottom: -5px;\r\n      margin-left: 30px;\r\n      padding-left: 0px;\r\n      display: none;\r\n    }\r\n\r\n    .easyPrintSizeMode {\r\n      display: inline-block;\r\n    }\r\n    .easyPrintHolder .easyPrintSizeMode a {\r\n      border-radius: 0px;\r\n    }\r\n\r\n    .easyPrintHolder .easyPrintSizeMode:last-child a{\r\n      border-top-right-radius: 2px;\r\n      border-bottom-right-radius: 2px;\r\n      margin-left: -1px;\r\n    }\r\n\r\n    .easyPrintPortrait:hover, .easyPrintLandscape:hover{\r\n      background-color: #757570;\r\n      cursor: pointer;\r\n    }`;\r\n    document.body.appendChild(css);\r\n  },\r\n\r\n  _dataURItoBlob: function (dataURI) {\r\n    var byteString = atob(dataURI.split(',')[1]);\r\n    var mimeString = dataURI.split(',')[0].split(':')[1].split(';')[0];\r\n    var ab = new ArrayBuffer(byteString.length);\r\n    var dw = new DataView(ab);\r\n    for(var i = 0; i < byteString.length; i++) {\r\n        dw.setUint8(i, byteString.charCodeAt(i));\r\n    }\r\n    return new Blob([ab], {type: mimeString});\r\n  },\r\n\r\n  _togglePageSizeButtons: function (e) {\r\n    var holderStyle = this.holder.style\r\n    var linkStyle = this.link.style\r\n    if (e.type === 'mouseover') {\r\n      holderStyle.display = 'block';\r\n      linkStyle.borderTopRightRadius = '0'\r\n      linkStyle.borderBottomRightRadius = '0'\r\n    } else {\r\n      holderStyle.display = 'none';\r\n      linkStyle.borderTopRightRadius = '2px'\r\n      linkStyle.borderBottomRightRadius = '2px'      \r\n    }\r\n  },\r\n\r\n  _toggleControls: function (show) {\r\n    var controlContainer = document.getElementsByClassName(\"leaflet-control-container\")[0];\r\n    if (show) return controlContainer.style.display = 'block';\r\n    controlContainer.style.display = 'none';\r\n  },\r\n\r\n  _a4PageSize: {\r\n    height: 715,\r\n    width: 1045\r\n  }\r\n\r\n});\r\n\r\nL.easyPrint = function(options) {\r\n  return new 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\ No newline at end of file
diff --git a/assets/custom-functions.js b/assets/custom-functions.js
index f7fa9f3fc16eabc4288dab52f255c86ebfd12fda..3369b9fc5460627b0d1672aee046cc5160940eda 100644
--- a/assets/custom-functions.js
+++ b/assets/custom-functions.js
@@ -1,13 +1,13 @@
 window.forecastTab = Object.assign({}, window.forecastTab, {  
     forecastMaps: {  
         styleHandle: function(feature, context){
-            // get props from hideout
+        // Get props from hideout
 	    const {bounds, colorscale, style, colorProp} = context.props.hideout;
-            // get value the determines the color
-            const value = feature.properties[colorProp];
+        // Get value the determines the color
+        const value = feature.properties[colorProp];
 	    for (let i = 0; i < bounds.length; ++i) {
 		if (value > bounds[i]) {
-	            // set the fill color according to the class
+	        // Set the fill color according to the class
 		    style.fillColor = colorscale[i];
 		}
 	    }
@@ -15,23 +15,23 @@ window.forecastTab = Object.assign({}, window.forecastTab, {
         },
 	pointToLayer: function(feature, latlng, context){
             const {min, max, colorscale, circleOptions, colorProp} = context.props.hideout;
-            // set color based on color prop.
+            // Set color based on color prop.
             circleOptions.fillColor = feature.properties[colorProp];
-            // sender a simple circle marker.
+            // Sender a simple circle marker.
             return L.circleMarker(latlng, circleOptions);
         },
 	bindTooltip: function(feature, layer, context) {
             const props = feature.properties;
-            // delete props.cluster;
+            // Delete props.cluster;
             layer.bindTooltip(JSON.stringify(props.value), { opacity: 1.0 })
         }
     },
     wasMaps: {
         styleHandle: function(feature, context){
-            // get props from hideout
+        // Get props from hideout
 	    const {bounds, colorscale, style, colorProp} = context.props.hideout;
-            // get value the determines the color
-            const value = feature.properties[colorProp];
+        // Get value the determines the color
+        const value = feature.properties[colorProp];
 	    style.fillColor = colorscale[value];
             return style;
         },
@@ -40,9 +40,15 @@ window.forecastTab = Object.assign({}, window.forecastTab, {
 
 window.evaluationTab = Object.assign({}, window.evaluationTab, {  
     evaluationMaps: {  
-	pointToLayer: function(feature, latlng, context){
-            const {circleOptions} = context.props.hideout;
-            // sender a simple circle marker.
+	pointToLayer: function(feature, latlng, context){  
+            if (typeof context.props.hideout.colorProp !== 'undefined') {
+                var {colorscale, circleOptions, colorProp} = context.props.hideout;
+                const value = feature.properties[colorProp];
+                circleOptions.fillColor = colorscale[value];
+            } else {
+                var {circleOptions} = context.props.hideout;
+            }
+            // Sender a simple circle marker.
             return L.circleMarker(latlng, circleOptions);
         },
     }
@@ -54,7 +60,7 @@ window.observationsTab = Object.assign({}, window.observationsTab, {
             const {colorscale, circleOptions, colorProp} = context.props.hideout;
             const value = feature.properties[colorProp];
             circleOptions.fillColor = colorscale[value];
-            // sender a simple circle marker.
+            // Sender a simple circle marker.
             return L.circleMarker(latlng, circleOptions);
         },
     }
@@ -75,234 +81,7 @@ $(document).ready(function () {
     });
 });
 
-// Add logos for the animated gifs
-$(document).ready(function () {
-	$(document).on('click', "#model-slider-graph", function () {
-		const logos = document.getElementById('logos');
-		if(!logos) {
-			var img = new Image();
-			img.src = './assets/images/logoline.png';
-			img.style.position = 'absolute';
-			img.style.width = '40rem';
-			img.style.height = '5rem';
-			img.style.top = '0';
-			img.style.left = '23rem';
-			img.style.zIndex = '999';
-			img.setAttribute('id','logos');
-			img.style.display = 'none';
-
-			// Get the element to overlay the image on
-			var div = document.querySelectorAll('.leaflet-map-pane')[0];
-
-			// Append the image to the element
-			div.appendChild(img);
-		}
-	});
-});
-
-// MAKE FULLSCREEN ICON SMALLER WHEN APP IS FULLSCREEN
-function changeFullscreenIcon() {
-       const isFullscreen = window.innerWidth === screen.width && window.innerHeight === screen.height;
-       const button = document.getElementById('fullscreen-tab'); 
-       if (isFullscreen) {
-           button.classList.remove('small');
-       } else {
-           button.classList.add('small');
-       }
-}
-
-// SEND FULLSCREEN REQUEST TO PARENT WINDOW
-$(document).ready(function () {
-    $(document).on('click', "#fullscreen-tab", function () {
-	parent.postMessage('fullscreen', '*');
-	changeFullscreenIcon();
-	})	
-});
-
-// DETECT IFRAME AND REMOVE FULLSCREEN BUTTON
-$(window).on('load', function removeFullscreen () {
-    const tab = document.getElementById('fullscreen-tab');
-    if (tab != null) {
-	if (window.self === window.top){
-	    tab.style.visibility = "hidden";
-	}
-    } else {
-	setTimeout(removeFullscreen, 5); 
-    }
-});
-
-// Move datepicker above the time series area
-$(document).ready(function () {
-	$(document).on('click', ".SingleDatePickerInput_clearDate, .SingleDatePicker", function moveDatePicker () {
-		const element = document.getElementsByClassName('DayPicker')[0];
-		//we still want the menu to go below on eval/vis for modis
-		const evalVis = document.getElementById('eval-date');
-		if (evalVis != null) {
-		    return
-		}else if (element != null) {
-		    element.style.position = 'absolute';
-		    element.style.bottom = '78px';
-		}else {
-		    setTimeout(moveDatePicker, 20);
-		};
-	});
-});
-
 // COLLAPSE NAVBAR HAMBURGER RESIZE LARGER
 $(window).on('resize', function () {
   if (window.innerWidth > 1045) $('.navbar-collapse').removeClass('show')
 })
-
-// ADD SPACES IN DATE INPUT IN BETWEEN DAY MONTH AND YEAR
-$(document).ready(function() {
-  $(document).on('keydown input', '#date', function(e) {
-    var input = this.value;
-    var key = e.key || String.fromCharCode(e.keyCode || e.which || e.charCode);
-
-    var caretPosition = this.selectionStart;
-
-    if (key === 'Backspace') {
-      var previousChar = input[caretPosition - 1];
-
-      // Allow deletion of spaces
-      if (previousChar === ' ' && (caretPosition === 3 || caretPosition === 7)) {
-        this.value = input.slice(0, caretPosition - 2) + input.slice(caretPosition);
-        this.setSelectionRange(caretPosition - 2, caretPosition - 2);
-        e.preventDefault();
-        return;
-      }
-    }
-
-    if (input.length === 11) return;
-
-    var values = input.split(' ');
-    var output = values.map(function(v, i) {
-      if (v.length === 2 && i < 1) {
-        return v + ' ';
-      } else if (v.length === 3 && i < 2) {
-        return v + ' ';
-      } else {
-        return v;
-      }
-    });
-
-    this.value = output.join('').substr(0, 11);
-
-    // Adjust caret position after modifying the input value
-    var newCaretPosition = caretPosition - (input.length - this.value.length);
-    this.setSelectionRange(newCaretPosition, newCaretPosition);
-  });
-});
-
-//================== Stats table carets ===============================================
-// The aeronet stats table changes the position/index of the regions when they
-// are clicked, so we cannot easily assign a class to the regions that will maintain on click,
-// so we must remove the carets on click, and then add them back after the table has finished
-
-// changing it's state
-
-// ADD FUNCTION TO WAIT FOR TABLE TO FINISH CHANGING
-function waitForMutation(selector, func) {
-    return new Promise(resolve => {
-        if (document.querySelector(selector)) {
-            return resolve(document.querySelector(selector));
-        };
-        const observer = new MutationObserver(mutations => {
-            if (document.querySelector(selector)) {
-                resolve(document.querySelector(selector));
-		// console.log(mutations);
-		func(mutations);
-	    }
-        });
-        observer.observe(document.body, {
-            childList: true,
-            subtree: true,
-	    attributeOldValue: true, 
-	    characterDataOldValue: true
-        });
-    });
-}
-
-//FIND THE REGIONS TO REMOVE THE CARETS BEFORE FLIPPING THEM
-function targetRegions(mutations) {
-    //Carets will populate in the wrong rows after click, so we must remove them
-    for (const element of mutations) {
-	if (['Mediterranean','NAfrica', 'MiddleEast'].includes(element.oldValue)) {
-	    //GET ELEMENTS PARENT NODE 2 ABOVE AS IT CONTAINS THE TARGET CLASS
-	    const target = element.target.parentNode.parentNode;
-	    target.classList.remove('table_caret_up');
-	    target.classList.remove('table_caret_down');
-	};
-    }
-    // Now add the carets back in where appropriate
-    flipCarets();
-}
-
-//CREATE FUNCTION TO FIND REGIONS AND FLIP CARETS AS NEEDED
-function flipCarets() {
-    var areas = "td:contains('Europe'), td:contains('Mediterranean'),td:contains('NAfrica'),td:contains('MiddleEast')";
-    $(areas).addClass('table_caret_down');
-    //Each table has the four regions. Split the returned areas into tables, and then address caret flips
-    for(var i = 0; i < ($(areas).length/4); i++){
-	var medIndex = parseInt($("td:contains('Mediterranean')").eq(i).attr('data-dash-row'));
-	var nafricaIndex = parseInt($("td:contains('NAfrica')").eq(i).attr('data-dash-row'));
-	var middleEastIndex = parseInt($("td:contains('MiddleEast')").eq(i).attr('data-dash-row'));
-	var totalIndex = parseInt($("td:contains('Total')").eq(i).attr('data-dash-row'));
-	//for each table, check if the caret should be flipped
-	//if the next region is not at the next index, the dropdown is open 
-	//trigger the caret to be flipped
-	if (medIndex !== 1) {
-	    $("td:contains('Europe')").eq(i).addClass('table_caret_up');
-	};
-	if ((medIndex + 1) !== middleEastIndex) {
-	    $("td:contains('Mediterranean')").eq(i).addClass('table_caret_up');
-	};
-	if ((middleEastIndex + 1) !== nafricaIndex) {
-	    $("td:contains('MiddleEast')").eq(i).addClass('table_caret_up');
-	};
-	if ((nafricaIndex + 1) !== totalIndex) {
-	    $("td:contains('NAfrica')").eq(i).addClass('table_caret_up');
-	};
-    };
-};
-
-//ADD FUNCTION TO WAIT FOR CLICKS ON AREAS THAT SHOULD TRIGGER CARET FLIPS
-$(document).ready(function () {
-    $(document).on('click', "td:contains('Europe'), td:contains('Mediterranean'),td:contains('NAfrica'),td:contains('MiddleEast'), #scores-apply, #evaluation-tab", function () {
-	waitForMutation('td.dash-cell.column-0', targetRegions);
-    })
-})
-//================== Stats table carets END ===============================================
-
-
-//==================Functions to resize colorbar ======================
-
-function setWidthForColorbars(nothing) {
-    const colorbars = document.querySelectorAll('.leaflet-control-colorbar');
-    colorbars.forEach(colorbar => {
-	const info = document.querySelector('.info').offsetWidth;
-	colorbar.style.maxWidth = info.toString() + 'px';
-    });
-}
-
-$(document).ready(function () {
-    $(document).on('click', "#models-apply, .DayPicker, .SingleDatePickerInput_clearDate", function () {
-	setTimeout(setWidthForColorbars, 500);
-    })
-})
-
-$(document).ready(function () {
-    setTimeout(setWidthForColorbars, 1500);
-});
-//==================END Funcfions to resize colorbar ==================
-
-// //================= Function to clear datepicker without resetting =================================
-$(document).ready(function () {
-    $(document).on('click', "#clear_button", function () {
-	const date = document.getElementById('date');
-	date.focus();
-	date.click();
-	date.value = '';
-    })
-})
-
diff --git a/assets/datepicker.js b/assets/datepicker.js
new file mode 100644
index 0000000000000000000000000000000000000000..18cc0c0c58d06eaf42305e1e7519c21c598cee9b
--- /dev/null
+++ b/assets/datepicker.js
@@ -0,0 +1,68 @@
+// ADD SPACES IN DATE INPUT IN BETWEEN DAY MONTH AND YEAR
+$(document).ready(function() {
+  $(document).on('keydown input', '.DateInput_input', function(e) {
+    var input = this.value;
+    var key = e.key || String.fromCharCode(e.keyCode || e.which || e.charCode);
+
+    var caretPosition = this.selectionStart;
+
+    if (key === 'Backspace') {
+      var previousChar = input[caretPosition - 1];
+
+      // Allow deletion of spaces
+      if (previousChar === ' ' && (caretPosition === 3 || caretPosition === 7)) {
+        this.value = input.slice(0, caretPosition - 2) + input.slice(caretPosition);
+        this.setSelectionRange(caretPosition - 2, caretPosition - 2);
+        e.preventDefault();
+        return;
+      }
+    }
+
+    if (input.length === 11) return;
+
+    var values = input.split(' ');
+    var output = values.map(function(v, i) {
+      if (v.length === 2 && i < 1) {
+        return v + ' ';
+      } else if (v.length === 3 && i < 2) {
+        return v + ' ';
+      } else {
+        return v;
+      }
+    });
+
+    this.value = output.join('').substr(0, 11);
+
+    // Adjust caret position after modifying the input value
+    var newCaretPosition = caretPosition - (input.length - this.value.length);
+    this.setSelectionRange(newCaretPosition, newCaretPosition);
+  });
+});
+
+// MOVE DATEPICKER ABOVE THE TIMESERIES AREA
+$(document).ready(function () {
+	$(document).on('click', ".SingleDatePickerInput_clearDate, .SingleDatePicker", function moveDatePicker () {
+		const element = document.getElementsByClassName('DayPicker')[0];
+		// We still want the menu to go below on eval/vis for modis
+		const evalVis = document.getElementById('eval-date');
+		if (evalVis != null) {
+		    return
+		}else if (element != null) {
+		    element.style.position = 'absolute';
+		    element.style.bottom = '78px';
+		}else {
+		    setTimeout(moveDatePicker, 20);
+		};
+	});
+});
+
+// CLEAR DATEPICKER WITHOUT RESETTING
+$(document).ready(function () {
+    $(document).on('click', "#clear_button", function () {
+	const date = document.getElementById('date');
+	date.focus();
+	date.click();
+	date.value = '';
+    })
+})
+
diff --git a/assets/download-img.js b/assets/download-img.js
index 503e4b1638b3c5090f9224c93f0d6a337da6b0f2..710a8f1f3c26dae4a3e200df3c1ef79869eb2713 100644
--- a/assets/download-img.js
+++ b/assets/download-img.js
@@ -1,7 +1,8 @@
 $(document).ready(function () {
 	$(document).on('click', "#btn-frame-download", function () {
-		//first add the logos
-		addLogos();
+		// First add the logos
+		// Adjust colorbar, as it is appearing covered by the info bar
+		makeChanges();
 		var element = document.getElementById("graph-collection"); // global variable
 		if (element == null) {
 			element = document.getElementById("prob-graph"); // global variable
@@ -10,7 +11,8 @@ $(document).ready(function () {
 			}
 		}
 		getCanvas(element);
-		removeLogos();
+		// The changes need to be remove to ensure the map appears normal
+		removeChanges();
 	});
 });
 
@@ -21,7 +23,7 @@ function getCanvas(element) {
 		allowTaint: true,
 		useCORS: true,
 		async: true,
-		// windowWidth: element.offsetWidth + 90,
+		windowWidth: element.offsetWidth + 90,
 		windowHeight: element.offsetHeight,
 		logging: true,
 		imageTimeout: 0,
@@ -41,20 +43,20 @@ function saveAs(uri, filename) {
 		link.href = uri;
 		link.download = filename;
 
-		//Firefox requires the link to be in the body
+		// Firefox requires the link to be in the body
 		document.body.appendChild(link);
 
-		//simulate click
+		// Simulate click
 		link.click();
 
-		//remove the link when done
+		// Remove the link when done
 		document.body.removeChild(link);
 	} else {
 		window.open(uri);
 	}
 }
 
-//Add logos top map for screen shot
+// ADD LOGOS AT THE TOP OF THE MAP FOR THE SCREENSHOT
 function addLogos() {
 	const logos = document.getElementById('logos');
 	if (logos){
@@ -81,7 +83,31 @@ function addLogos() {
 	};
 }
 
+// REMOVE LOGOS AFTER SCREENSHOT IS TAKEN
 function removeLogos() {
 	var logos = document.getElementById('logos');
 	logos.remove();
 };
+
+// PUSH DOWN COLORBAR FOR SCREENSHOT
+function makeChanges() {
+	// Push down
+	const colorbar = document.querySelector('.leaflet-control-colorbar');
+	colorbar.style.paddingTop = '60px';
+	// Add the logos for the screenshot
+	addLogos();
+	// Remove the attribution in the bottom right corner
+	const attribution = document.querySelector('.leaflet-control-attribution');
+	attribution.style.display = "none";
+}
+
+// RETURN COLORBAR TO INITIAL POSITION AFTER SCREENSHOT
+function removeChanges() {
+	// Put colorbar back in place
+	const colorbar = document.querySelector('.leaflet-control-colorbar');
+	colorbar.style.paddingTop = '0px';
+	// Remove added logos 
+	removeLogos();
+}
+
+
diff --git a/assets/fullscreen.js b/assets/fullscreen.js
new file mode 100644
index 0000000000000000000000000000000000000000..c1febe6e1b7d9d8b7dc0032a2c44599ead3f599f
--- /dev/null
+++ b/assets/fullscreen.js
@@ -0,0 +1,31 @@
+// MAKE FULLSCREEN ICON SMALLER WHEN APP IS FULLSCREEN
+function changeFullscreenIcon() {
+       const isFullscreen = window.innerWidth === screen.width && window.innerHeight === screen.height;
+       const button = document.getElementById('fullscreen-tab'); 
+       if (isFullscreen) {
+           button.classList.remove('small');
+       } else {
+           button.classList.add('small');
+       }
+}
+
+// SEND FULLSCREEN REQUEST TO PARENT WINDOW
+$(document).ready(function () {
+    $(document).on('click', "#fullscreen-tab", function () {
+	parent.postMessage('fullscreen', '*');
+	changeFullscreenIcon();
+	})	
+});
+
+// DETECT IFRAME AND REMOVE FULLSCREEN BUTTON
+$(window).on('load', function removeFullscreen () {
+    const tab = document.getElementById('fullscreen-tab');
+    if (tab != null) {
+	if (window.self === window.top){
+	    tab.style.visibility = "hidden";
+	}
+    } else {
+	setTimeout(removeFullscreen, 5); 
+    }
+});
+
diff --git a/assets/gif_logos.js b/assets/gif_logos.js
new file mode 100644
index 0000000000000000000000000000000000000000..2a29e16ae10732ccd484e08999dc79fc9a6ecd2e
--- /dev/null
+++ b/assets/gif_logos.js
@@ -0,0 +1,24 @@
+// ADD LOGOS FOR THE ANIMATED GIF
+$(document).ready(function () {
+	$(document).on('click', "#model-slider-graph", function () {
+		const logos = document.getElementById('logos');
+		if(!logos) {
+			var img = new Image();
+			img.src = './assets/images/logoline.png';
+			img.style.position = 'absolute';
+			img.style.width = '40rem';
+			img.style.height = '5rem';
+			img.style.top = '0';
+			img.style.left = '23rem';
+			img.style.zIndex = '999';
+			img.setAttribute('id','logos');
+			img.style.display = 'none';
+
+			// Get the element to overlay the image on
+			var div = document.querySelectorAll('.leaflet-map-pane')[0];
+
+			// Append the image to the element
+			div.appendChild(img);
+		}
+	});
+});
diff --git a/assets/html2canvas.min.js b/assets/html2canvas.min.js
deleted file mode 100644
index aed6bfd70defa322824e5cba11b3ad5d6061ee28..0000000000000000000000000000000000000000
--- a/assets/html2canvas.min.js
+++ /dev/null
@@ -1,20 +0,0 @@
-/*!
- * html2canvas 1.4.1 <https://html2canvas.hertzen.com>
- * Copyright (c) 2022 Niklas von Hertzen <https://hertzen.com>
- * Released under MIT License
- */
-!function(A,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(A="undefined"!=typeof globalThis?globalThis:A||self).html2canvas=e()}(this,function(){"use strict";
-/*! *****************************************************************************
-    Copyright (c) Microsoft Corporation.
-
-    Permission to use, copy, modify, and/or distribute this software for any
-    purpose with or without fee is hereby granted.
-
-    THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
-    REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
-    AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
-    INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
-    LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
-    OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
-    PERFORMANCE OF THIS SOFTWARE.
-    ***************************************************************************** */var r=function(A,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,e){A.__proto__=e}||function(A,e){for(var t in e)Object.prototype.hasOwnProperty.call(e,t)&&(A[t]=e[t])})(A,e)};function A(A,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function t(){this.constructor=A}r(A,e),A.prototype=null===e?Object.create(e):(t.prototype=e.prototype,new t)}var h=function(){return(h=Object.assign||function(A){for(var e,t=1,r=arguments.length;t<r;t++)for(var B in e=arguments[t])Object.prototype.hasOwnProperty.call(e,B)&&(A[B]=e[B]);return A}).apply(this,arguments)};function a(A,s,o,i){return new(o=o||Promise)(function(t,e){function r(A){try{n(i.next(A))}catch(A){e(A)}}function B(A){try{n(i.throw(A))}catch(A){e(A)}}function n(A){var e;A.done?t(A.value):((e=A.value)instanceof o?e:new 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BQAFAAUABQAFAAUAAEAAQABAArACsAHgArAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwArACsAKwArACsAKwArAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAB4ABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAFAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAUAAEAAQABAAEAAQABAAEAFAAUABQAFAAUABQAFAAUABQAFAABAAEAA0ADQBLAEsASwBLAEsASwBLAEsASwBLAB4AUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAArAFAAUABQAFAAUABQAFAAUAArACsAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAUAArACsAKwBQAFAAUABQACsAKwAEAFAABAAEAAQABAAEAAQABAArACsABAAEACsAKwAEAAQABABQACsAKwArACsAKwArACsAKwAEACsAKwArACsAUABQACsAUABQAFAABAAEACsAKwBLAEsASwBLAEsASwBLAEsASwBLAFAAUAAaABoAUABQAFAAUABQAEwAHgAbAFAAHgAEACsAKwAEAAQABAArAFAAUABQAFAAUABQACsAKwArACsAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAUABQACsAUABQACsAUABQACsAKwAEACsABAAEAAQABAAEACsAKwArACsABAAEACsAKwAEAAQABAArACsAKwAEACsAKwArACsAKwArACsAUABQAFAAUAArAFAAKwArACsAKwArACsAKwBLAEsASwBLAEsASwBLAEsASwBLAAQABABQAFAAUAAEAB4AKwArACsAKwArACsAKwArACsAKwAEAAQABAArAFAAUABQAFAAUABQAFAAUABQACsAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAUABQACsAUABQAFAAUABQACsAKwAEAFAABAAEAAQABAAEAAQABAAEACsABAAEAAQAKwAEAAQABAArACsAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQAFAABAAEACsAKwBLAEsASwBLAEsASwBLAEsASwBLAB4AGwArACsAKwArACsAKwArAFAABAAEAAQABAAEAAQAKwAEAAQABAArAFAAUABQAFAAUABQAFAAUAArACsAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAAQABAArACsABAAEACsAKwAEAAQABAArACsAKwArACsAKwArAAQABAAEACsAKwArACsAUABQACsAUABQAFAABAAEACsAKwBLAEsASwBLAEsASwBLAEsASwBLAB4AUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArAAQAUAArAFAAUABQAFAAUABQACsAKwArAFAAUABQACsAUABQAFAAUAArACsAKwBQAFAAKwBQACsAUABQACsAKwArAFAAUAArACsAKwBQAFAAUAArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArAAQABAAEAAQABAArACsAKwAEAAQABAArAAQABAAEAAQAKwArAFAAKwArACsAKwArACsABAArACsAKwArACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAUABQAFAAHgAeAB4AHgAeAB4AGwAeACsAKwArACsAKwAEAAQABAAEAAQAUABQAFAAUABQAFAAUABQACsAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAUAAEAAQABAAEAAQABAAEACsABAAEAAQAKwAEAAQABAAEACsAKwArACsAKwArACsABAAEACsAUABQAFAAKwArACsAKwArAFAAUAAEAAQAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAKwAOAFAAUABQAFAAUABQAFAAHgBQAAQABAAEAA4AUABQAFAAUABQAFAAUABQACsAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAKwArAAQAUAAEAAQABAAEAAQABAAEACsABAAEAAQAKwAEAAQABAAEACsAKwArACsAKwArACsABAAEACsAKwArACsAKwArACsAUAArAFAAUAAEAAQAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwBQAFAAKwArACsAKwArACsAKwArACsAKwArACsAKwAEAAQABAAEAFAAUABQAFAAUABQAFAAUABQACsAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAFAABAAEAAQABAAEAAQABAArAAQABAAEACsABAAEAAQABABQAB4AKwArACsAKwBQAFAAUAAEAFAAUABQAFAAUABQAFAAUABQAFAABAAEACsAKwBLAEsASwBLAEsASwBLAEsASwBLAFAAUABQAFAAUABQAFAAUABQABoAUABQAFAAUABQAFAAKwAEAAQABAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQACsAUAArACsAUABQAFAAUABQAFAAUAArACsAKwAEACsAKwArACsABAAEAAQABAAEAAQAKwAEACsABAAEAAQABAAEAAQABAAEACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArAAQABAAeACsAKwArACsAKwArACsAKwArACsAKwArAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXAAqAFwAXAAqACoAKgAqACoAKgAqACsAKwArACsAGwBcAFwAXABcAFwAXABcACoAKgAqACoAKgAqACoAKgAeAEsASwBLAEsASwBLAEsASwBLAEsADQANACsAKwArACsAKwBcAFwAKwBcACsAXABcAFwAXABcACsAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcACsAXAArAFwAXABcAFwAXABcAFwAXABcAFwAKgBcAFwAKgAqACoAKgAqACoAKgAqACoAXAArACsAXABcAFwAXABcACsAXAArACoAKgAqACoAKgAqACsAKwBLAEsASwBLAEsASwBLAEsASwBLACsAKwBcAFwAXABcAFAADgAOAA4ADgAeAA4ADgAJAA4ADgANAAkAEwATABMAEwATAAkAHgATAB4AHgAeAAQABAAeAB4AHgAeAB4AHgBLAEsASwBLAEsASwBLAEsASwBLAFAAUABQAFAAUABQAFAAUABQAFAADQAEAB4ABAAeAAQAFgARABYAEQAEAAQAUABQAFAAUABQAFAAUABQACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQADQAEAAQABAAEAAQADQAEAAQAUABQAFAAUABQAAQABAAEAAQABAAEAAQABAAEAAQABAArAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAArAA0ADQAeAB4AHgAeAB4AHgAEAB4AHgAeAB4AHgAeACsAHgAeAA4ADgANAA4AHgAeAB4AHgAeAAkACQArACsAKwArACsAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgBcAEsASwBLAEsASwBLAEsASwBLAEsADQANAB4AHgAeAB4AXABcAFwAXABcAFwAKgAqACoAKgBcAFwAXABcACoAKgAqAFwAKgAqACoAXABcACoAKgAqACoAKgAqACoAXABcAFwAKgAqACoAKgBcAFwAXABcAFwAXABcAFwAXABcAFwAXABcACoAKgAqACoAKgAqACoAKgAqACoAKgAqAFwAKgBLAEsASwBLAEsASwBLAEsASwBLACoAKgAqACoAKgAqAFAAUABQAFAAUABQACsAUAArACsAKwArACsAUAArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAHgBQAFAAUABQAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFAAUABQAFAAUABQAFAAUABQACsAUABQAFAAUAArACsAUABQAFAAUABQAFAAUAArAFAAKwBQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAKwArAFAAUABQAFAAUABQAFAAKwBQACsAUABQAFAAUAArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsABAAEAAQAHgANAB4AHgAeAB4AHgAeAB4AUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAHgAeAB4AHgAeAB4AHgAeAB4AHgArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwBQAFAAUABQAFAAUAArACsADQBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAHgAeAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAANAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAWABEAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAA0ADQANAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAAQABAAEACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAANAA0AKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEACsAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUAArAAQABAArACsAKwArACsAKwArACsAKwArACsAKwBcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqAA0ADQAVAFwADQAeAA0AGwBcACoAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwAeAB4AEwATAA0ADQAOAB4AEwATAB4ABAAEAAQACQArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArAFAAUABQAFAAUAAEAAQAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQAUAArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwAEAAQABAAEAAQABAAEAAQABAAEAAQABAArACsAKwArAAQABAAEAAQABAAEAAQABAAEAAQABAAEACsAKwArACsAHgArACsAKwATABMASwBLAEsASwBLAEsASwBLAEsASwBcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXAArACsAXABcAFwAXABcACsAKwArACsAKwArACsAKwArACsAKwBcAFwAXABcAFwAXABcAFwAXABcAFwAXAArACsAKwArAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAXAArACsAKwAqACoAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAAQABAArACsAHgAeAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcACoAKgAqACoAKgAqACoAKgAqACoAKwAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKwArAAQASwBLAEsASwBLAEsASwBLAEsASwArACsAKwArACsAKwBLAEsASwBLAEsASwBLAEsASwBLACsAKwArACsAKwArACoAKgAqACoAKgAqACoAXAAqACoAKgAqACoAKgArACsABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsABAAEAAQABAAEAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAAQABABQAFAAUABQAFAAUABQACsAKwArACsASwBLAEsASwBLAEsASwBLAEsASwANAA0AHgANAA0ADQANAB4AHgAeAB4AHgAeAB4AHgAeAB4ABAAEAAQABAAEAAQABAAEAAQAHgAeAB4AHgAeAB4AHgAeAB4AKwArACsABAAEAAQAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABABQAFAASwBLAEsASwBLAEsASwBLAEsASwBQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEACsAKwArACsAKwArACsAKwAeAB4AHgAeAFAAUABQAFAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEACsAKwArAA0ADQANAA0ADQBLAEsASwBLAEsASwBLAEsASwBLACsAKwArAFAAUABQAEsASwBLAEsASwBLAEsASwBLAEsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAA0ADQBQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwBQAFAAUAAeAB4AHgAeAB4AHgAeAB4AKwArACsAKwArACsAKwArAAQABAAEAB4ABAAEAAQABAAEAAQABAAEAAQABAAEAAQABABQAFAAUABQAAQAUABQAFAAUABQAFAABABQAFAABAAEAAQAUAArACsAKwArACsABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEACsABAAEAAQABAAEAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AKwArAFAAUABQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAKwBQACsAUAArAFAAKwAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeACsAKwAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArAB4AHgAeAB4AHgAeAB4AHgBQAB4AHgAeAFAAUABQACsAHgAeAB4AHgAeAB4AHgAeAB4AHgBQAFAAUABQACsAKwAeAB4AHgAeAB4AHgArAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AKwArAFAAUABQACsAHgAeAB4AHgAeAB4AHgAOAB4AKwANAA0ADQANAA0ADQANAAkADQANAA0ACAAEAAsABAAEAA0ACQANAA0ADAAdAB0AHgAXABcAFgAXABcAFwAWABcAHQAdAB4AHgAUABQAFAANAAEAAQAEAAQABAAEAAQACQAaABoAGgAaABoAGgAaABoAHgAXABcAHQAVABUAHgAeAB4AHgAeAB4AGAAWABEAFQAVABUAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4ADQAeAA0ADQANAA0AHgANAA0ADQAHAB4AHgAeAB4AKwAEAAQABAAEAAQABAAEAAQABAAEAFAAUAArACsATwBQAFAAUABQAFAAHgAeAB4AFgARAE8AUABPAE8ATwBPAFAAUABQAFAAUAAeAB4AHgAWABEAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArABsAGwAbABsAGwAbABsAGgAbABsAGwAbABsAGwAbABsAGwAbABsAGwAbABsAGgAbABsAGwAbABoAGwAbABoAGwAbABsAGwAbABsAGwAbABsAGwAbABsAGwAbABsAGwAbAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAHgAeAFAAGgAeAB0AHgBQAB4AGgAeAB4AHgAeAB4AHgAeAB4AHgBPAB4AUAAbAB4AHgBQAFAAUABQAFAAHgAeAB4AHQAdAB4AUAAeAFAAHgBQAB4AUABPAFAAUAAeAB4AHgAeAB4AHgAeAFAAUABQAFAAUAAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAFAAHgBQAFAAUABQAE8ATwBQAFAAUABQAFAATwBQAFAATwBQAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAFAAUABQAFAATwBPAE8ATwBPAE8ATwBPAE8ATwBQAFAAUABQAFAAUABQAFAAUAAeAB4AUABQAFAAUABPAB4AHgArACsAKwArAB0AHQAdAB0AHQAdAB0AHQAdAB0AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB0AHgAdAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAdAB4AHQAdAB4AHgAeAB0AHQAeAB4AHQAeAB4AHgAdAB4AHQAbABsAHgAdAB4AHgAeAB4AHQAeAB4AHQAdAB0AHQAeAB4AHQAeAB0AHgAdAB0AHQAdAB0AHQAeAB0AHgAeAB4AHgAeAB0AHQAdAB0AHgAeAB4AHgAdAB0AHgAeAB4AHgAeAB4AHgAeAB4AHgAdAB4AHgAeAB0AHgAeAB4AHgAeAB0AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAdAB0AHgAeAB0AHQAdAB0AHgAeAB0AHQAeAB4AHQAdAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB0AHQAeAB4AHQAdAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHQAeAB4AHgAdAB4AHgAeAB4AHgAeAB4AHQAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB0AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AFAAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeABYAEQAWABEAHgAeAB4AHgAeAB4AHQAeAB4AHgAeAB4AHgAeACUAJQAeAB4AHgAeAB4AHgAeAB4AHgAWABEAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AJQAlACUAJQAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAFAAHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHgAeAB4AHgAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAeAB4AHQAdAB0AHQAeAB4AHgAeAB4AHgAeAB4AHgAeAB0AHQAeAB0AHQAdAB0AHQAdAB0AHgAeAB4AHgAeAB4AHgAeAB0AHQAeAB4AHQAdAB4AHgAeAB4AHQAdAB4AHgAeAB4AHQAdAB0AHgAeAB0AHgAeAB0AHQAdAB0AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAdAB0AHQAdAB4AHgAeAB4AHgAeAB4AHgAeAB0AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAlACUAJQAlAB4AHQAdAB4AHgAdAB4AHgAeAB4AHQAdAB4AHgAeAB4AJQAlAB0AHQAlAB4AJQAlACUAIAAlACUAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAlACUAJQAeAB4AHgAeAB0AHgAdAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAdAB0AHgAdAB0AHQAeAB0AJQAdAB0AHgAdAB0AHgAdAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeACUAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHQAdAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAlACUAJQAlACUAJQAlACUAJQAlACUAJQAdAB0AHQAdACUAHgAlACUAJQAdACUAJQAdAB0AHQAlACUAHQAdACUAHQAdACUAJQAlAB4AHQAeAB4AHgAeAB0AHQAlAB0AHQAdAB0AHQAdACUAJQAlACUAJQAdACUAJQAgACUAHQAdACUAJQAlACUAJQAlACUAJQAeAB4AHgAlACUAIAAgACAAIAAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB0AHgAeAB4AFwAXABcAFwAXABcAHgATABMAJQAeAB4AHgAWABEAFgARABYAEQAWABEAFgARABYAEQAWABEATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeABYAEQAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAWABEAFgARABYAEQAWABEAFgARAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AFgARABYAEQAWABEAFgARABYAEQAWABEAFgARABYAEQAWABEAFgARABYAEQAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAWABEAFgARAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AFgARAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAdAB0AHQAdAB0AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArACsAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AKwAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AUABQAFAAUAAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAEAAQABAAeAB4AKwArACsAKwArABMADQANAA0AUAATAA0AUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAUAANACsAKwArACsAKwArACsAKwArACsAKwArACsAKwAEAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQACsAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXAA0ADQANAA0ADQANAA0ADQAeAA0AFgANAB4AHgAXABcAHgAeABcAFwAWABEAFgARABYAEQAWABEADQANAA0ADQATAFAADQANAB4ADQANAB4AHgAeAB4AHgAMAAwADQANAA0AHgANAA0AFgANAA0ADQANAA0ADQANAA0AHgANAB4ADQANAB4AHgAeACsAKwArACsAKwArACsAKwArACsAKwArACsAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACsAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAKwArACsAKwArACsAKwArACsAKwArACsAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwAlACUAJQAlACUAJQAlACUAJQAlACUAJQArACsAKwArAA0AEQARACUAJQBHAFcAVwAWABEAFgARABYAEQAWABEAFgARACUAJQAWABEAFgARABYAEQAWABEAFQAWABEAEQAlAFcAVwBXAFcAVwBXAFcAVwBXAAQABAAEAAQABAAEACUAVwBXAFcAVwA2ACUAJQBXAFcAVwBHAEcAJQAlACUAKwBRAFcAUQBXAFEAVwBRAFcAUQBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFEAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBRAFcAUQBXAFEAVwBXAFcAVwBXAFcAUQBXAFcAVwBXAFcAVwBRAFEAKwArAAQABAAVABUARwBHAFcAFQBRAFcAUQBXAFEAVwBRAFcAUQBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFEAVwBRAFcAUQBXAFcAVwBXAFcAVwBRAFcAVwBXAFcAVwBXAFEAUQBXAFcAVwBXABUAUQBHAEcAVwArACsAKwArACsAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAKwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAKwAlACUAVwBXAFcAVwAlACUAJQAlACUAJQAlACUAJQAlACsAKwArACsAKwArACsAKwArACsAKwArAFEAUQBRAFEAUQBRAFEAUQBRAFEAUQBRAFEAUQBRAFEAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQArAFcAVwBXAFcAVwBXAFcAVwBXAFcAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQBPAE8ATwBPAE8ATwBPAE8AJQBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXACUAJQAlAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAEcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAKwArACsAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAADQATAA0AUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABLAEsASwBLAEsASwBLAEsASwBLAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAFAABAAEAAQABAAeAAQABAAEAAQABAAEAAQABAAEAAQAHgBQAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AUABQAAQABABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAeAA0ADQANAA0ADQArACsAKwArACsAKwArACsAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAFAAUABQAFAAUABQAFAAUABQAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AUAAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgBQAB4AHgAeAB4AHgAeAFAAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArACsAHgAeAB4AHgAeAB4AHgAeAB4AKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwAeAB4AUABQAFAAUABQAFAAUABQAFAAUABQAAQAUABQAFAABABQAFAAUABQAAQAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAAQABAAeAB4AHgAeAAQAKwArACsAUABQAFAAUABQAFAAHgAeABoAHgArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAADgAOABMAEwArACsAKwArACsAKwArACsABAAEAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAAQABAAEACsAKwArACsAKwArACsAKwANAA0ASwBLAEsASwBLAEsASwBLAEsASwArACsAKwArACsAKwAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABABQAFAAUABQAFAAUAAeAB4AHgBQAA4AUABQAAQAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAAEAA0ADQBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAKwArACsAKwArACsAKwArACsAKwArAB4AWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYAFgAWABYACsAKwArAAQAHgAeAB4AHgAeAB4ADQANAA0AHgAeAB4AHgArAFAASwBLAEsASwBLAEsASwBLAEsASwArACsAKwArAB4AHgBcAFwAXABcAFwAKgBcAFwAXABcAFwAXABcAFwAXABcAEsASwBLAEsASwBLAEsASwBLAEsAXABcAFwAXABcACsAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEACsAKwArACsAKwArACsAKwArAFAAUABQAAQAUABQAFAAUABQAFAAUABQAAQABAArACsASwBLAEsASwBLAEsASwBLAEsASwArACsAHgANAA0ADQBcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAKgAqACoAXAAqACoAKgBcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXAAqAFwAKgAqACoAXABcACoAKgBcAFwAXABcAFwAKgAqAFwAKgBcACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFwAXABcACoAKgBQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAA0ADQBQAFAAUAAEAAQAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUAArACsAUABQAFAAUABQAFAAKwArAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAHgAeACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAAQADQAEAAQAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAVABVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBUAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVQBVACsAKwArACsAKwArACsAKwArACsAKwArAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAWQBZAFkAKwArACsAKwBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAKwArACsAKwAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXACUAJQBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAJQAlACUAJQAlACUAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAKwArACsAKwArAFYABABWAFYAVgBWAFYAVgBWAFYAVgBWAB4AVgBWAFYAVgBWAFYAVgBWAFYAVgBWAFYAVgArAFYAVgBWAFYAVgArAFYAKwBWAFYAKwBWAFYAKwBWAFYAVgBWAFYAVgBWAFYAVgBWAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAEQAWAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUAAaAB4AKwArAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAGAARABEAGAAYABMAEwAWABEAFAArACsAKwArACsAKwAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEACUAJQAlACUAJQAWABEAFgARABYAEQAWABEAFgARABYAEQAlACUAFgARACUAJQAlACUAJQAlACUAEQAlABEAKwAVABUAEwATACUAFgARABYAEQAWABEAJQAlACUAJQAlACUAJQAlACsAJQAbABoAJQArACsAKwArAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArAAcAKwATACUAJQAbABoAJQAlABYAEQAlACUAEQAlABEAJQBXAFcAVwBXAFcAVwBXAFcAVwBXABUAFQAlACUAJQATACUAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXABYAJQARACUAJQAlAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwAWACUAEQAlABYAEQARABYAEQARABUAVwBRAFEAUQBRAFEAUQBRAFEAUQBRAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAEcARwArACsAVwBXAFcAVwBXAFcAKwArAFcAVwBXAFcAVwBXACsAKwBXAFcAVwBXAFcAVwArACsAVwBXAFcAKwArACsAGgAbACUAJQAlABsAGwArAB4AHgAeAB4AHgAeAB4AKwArACsAKwArACsAKwArACsAKwAEAAQABAAQAB0AKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsADQANAA0AKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArAB4AHgAeAB4AHgAeAB4AHgAeAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgBQAFAAHgAeAB4AKwAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAAQAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwAEAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAA0AUABQAFAAUAArACsAKwArAFAAUABQAFAAUABQAFAAUAANAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwArACsAKwAeACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAKwArAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUAArACsAKwBQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwANAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAeAB4AUABQAFAAUABQAFAAUAArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUAArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArAA0AUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwAeAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAUABQAFAAUABQAAQABAAEACsABAAEACsAKwArACsAKwAEAAQABAAEAFAAUABQAFAAKwBQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArAAQABAAEACsAKwArACsABABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArAA0ADQANAA0ADQANAA0ADQAeACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAeAFAAUABQAFAAUABQAFAAUAAeAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAArACsAKwArAFAAUABQAFAAUAANAA0ADQANAA0ADQAUACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsADQANAA0ADQANAA0ADQBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArAB4AHgAeAB4AKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArAFAAUABQAFAAUABQAAQABAAEAAQAKwArACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUAArAAQABAANACsAKwBQAFAAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAAQABAAEAAQABAAEAAQABAAEAAQABABQAFAAUABQAB4AHgAeAB4AHgArACsAKwArACsAKwAEAAQABAAEAAQABAAEAA0ADQAeAB4AHgAeAB4AKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsABABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAAQABAAEAAQABAAEAAQABAAEAAQABAAeAB4AHgANAA0ADQANACsAKwArACsAKwArACsAKwArACsAKwAeACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwArACsAKwBLAEsASwBLAEsASwBLAEsASwBLACsAKwArACsAKwArAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEACsASwBLAEsASwBLAEsASwBLAEsASwANAA0ADQANAFAABAAEAFAAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAeAA4AUAArACsAKwArACsAKwArACsAKwAEAFAAUABQAFAADQANAB4ADQAEAAQABAAEAB4ABAAEAEsASwBLAEsASwBLAEsASwBLAEsAUAAOAFAADQANAA0AKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAAQABAAEAAQABAANAA0AHgANAA0AHgAEACsAUABQAFAAUABQAFAAUAArAFAAKwBQAFAAUABQACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAA0AKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAAQABAAEAAQAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsABAAEAAQABAArAFAAUABQAFAAUABQAFAAUAArACsAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAUABQACsAUABQAFAAUABQACsABAAEAFAABAAEAAQABAAEAAQABAArACsABAAEACsAKwAEAAQABAArACsAUAArACsAKwArACsAKwAEACsAKwArACsAKwBQAFAAUABQAFAABAAEACsAKwAEAAQABAAEAAQABAAEACsAKwArAAQABAAEAAQABAArACsAKwArACsAKwArACsAKwArACsABAAEAAQABAAEAAQABABQAFAAUABQAA0ADQANAA0AHgBLAEsASwBLAEsASwBLAEsASwBLAA0ADQArAB4ABABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwAEAAQABAAEAFAAUAAeAFAAKwArACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAArACsABAAEAAQABAAEAAQABAAEAAQADgANAA0AEwATAB4AHgAeAA0ADQANAA0ADQANAA0ADQANAA0ADQANAA0ADQANAFAAUABQAFAABAAEACsAKwAEAA0ADQAeAFAAKwArACsAKwArACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAFAAKwArACsAKwArACsAKwBLAEsASwBLAEsASwBLAEsASwBLACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAXABcAFwAKwArACoAKgAqACoAKgAqACoAKgAqACoAKgAqACoAKgAqACsAKwArACsASwBLAEsASwBLAEsASwBLAEsASwBcAFwADQANAA0AKgBQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAeACsAKwArACsASwBLAEsASwBLAEsASwBLAEsASwBQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAKwArAFAAKwArAFAAUABQAFAAUABQAFAAUAArAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQAKwAEAAQAKwArAAQABAAEAAQAUAAEAFAABAAEAA0ADQANACsAKwArACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAArACsABAAEAAQABAAEAAQABABQAA4AUAAEACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFAABAAEAAQABAAEAAQABAAEAAQABABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAFAABAAEAAQABAAOAB4ADQANAA0ADQAOAB4ABAArACsAKwArACsAKwArACsAUAAEAAQABAAEAAQABAAEAAQABAAEAAQAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAA0ADQANAFAADgAOAA4ADQANACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAEAAQABAAEACsABAAEAAQABAAEAAQABAAEAFAADQANAA0ADQANACsAKwArACsAKwArACsAKwArACsASwBLAEsASwBLAEsASwBLAEsASwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwAOABMAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAArAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQACsAUABQACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAArACsAKwAEACsABAAEACsABAAEAAQABAAEAAQABABQAAQAKwArACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArACsAUABQAFAAUABQAFAAKwBQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQAKwAEAAQAKwAEAAQABAAEAAQAUAArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAABAAEAAQABAAeAB4AKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAB4AHgAeAB4AHgAeAB4AHgAaABoAGgAaAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArACsAKwArACsAKwArACsAKwArACsAKwArAA0AUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsADQANAA0ADQANACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAASABIAEgAQwBDAEMAUABQAFAAUABDAFAAUABQAEgAQwBIAEMAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAASABDAEMAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwAJAAkACQAJAAkACQAJABYAEQArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABIAEMAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwANAA0AKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArAAQABAAEAAQABAANACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEAA0ADQANAB4AHgAeAB4AHgAeAFAAUABQAFAADQAeACsAKwArACsAKwArACsAKwArACsASwBLAEsASwBLAEsASwBLAEsASwArAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAANAA0AHgAeACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwAEAFAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAKwArACsAKwArACsAKwAEAAQABAAEAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAARwBHABUARwAJACsAKwArACsAKwArACsAKwArACsAKwAEAAQAKwArACsAKwArACsAKwArACsAKwArACsAKwArAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXACsAKwArACsAKwArACsAKwBXAFcAVwBXAFcAVwBXAFcAVwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAUQBRAFEAKwArACsAKwArACsAKwArACsAKwArACsAKwBRAFEAUQBRACsAKwArACsAKwArACsAKwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUAArACsAHgAEAAQADQAEAAQABAAEACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArACsAKwArACsAKwArACsAKwArAB4AHgAeAB4AHgAeAB4AKwArAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAAQABAAEAAQABAAeAB4AHgAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAB4AHgAEAAQABAAEAAQABAAEAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4ABAAEAAQABAAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4ABAAEAAQAHgArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwArACsAKwArACsAKwArACsAKwArAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArACsAKwArACsAKwArACsAKwAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgArAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AKwBQAFAAKwArAFAAKwArAFAAUAArACsAUABQAFAAUAArAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeACsAUAArAFAAUABQAFAAUABQAFAAKwAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AKwBQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAHgAeAFAAUABQAFAAUAArAFAAKwArACsAUABQAFAAUABQAFAAUAArAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAHgBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgBQAFAAUABQAFAAUABQAFAAUABQAFAAHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgAeAB4AHgBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAB4AHgAeAB4AHgAeAB4AHgAeACsAKwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAEsASwBLAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAeAB4AHgAeAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAeAB4AHgAeAB4AHgAeAB4ABAAeAB4AHgAeAB4AHgAeAB4AHgAeAAQAHgAeAA0ADQANAA0AHgArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwAEAAQABAAEAAQAKwAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArAAQABAAEAAQABAAEAAQAKwAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAKwArAAQABAAEAAQABAAEAAQAKwAEAAQAKwAEAAQABAAEAAQAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwAEAAQABAAEAAQABAAEAFAAUABQAFAAUABQAFAAKwArAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwBQAB4AKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAEsASwBLAEsASwBLAEsASwBLAEsAKwArACsAKwArABsAUABQAFAAUABQACsAKwBQAFAAUABQAFAAUABQAFAAUAAEAAQABAAEAAQABAAEACsAKwArACsAKwArACsAKwArAB4AHgAeAB4ABAAEAAQABAAEAAQABABQACsAKwArACsASwBLAEsASwBLAEsASwBLAEsASwArACsAKwArABYAFgArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAGgBQAFAAUAAaAFAAUABQAFAAKwArACsAKwArACsAKwArACsAKwArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAAeAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQACsAKwBQAFAAUABQACsAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwBQAFAAKwBQACsAKwBQACsAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAKwBQACsAUAArACsAKwArACsAKwBQACsAKwArACsAUAArAFAAKwBQACsAUABQAFAAKwBQAFAAKwBQACsAKwBQACsAUAArAFAAKwBQACsAUAArAFAAUAArAFAAKwArAFAAUABQAFAAKwBQAFAAUABQAFAAUABQACsAUABQAFAAUAArAFAAUABQAFAAKwBQACsAUABQAFAAUABQAFAAUABQAFAAUAArAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUAArACsAKwArACsAUABQAFAAKwBQAFAAUABQAFAAKwBQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQAFAAKwArACsAKwArACsAKwArACsAKwArACsAKwArACsAKwAeAB4AKwArACsAKwArACsAKwArACsAKwArACsAKwArAE8ATwBPAE8ATwBPAE8ATwBPAE8ATwBPAE8AJQAlACUAHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHgAeAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB4AHgAeACUAJQAlAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAdAB0AHQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQAlACUAJQApACkAKQApACkAKQApACkAKQApACkAKQApACkAKQApACkAKQApACkAKQApACkAKQApACkAJQAlACUAJQAlACAAJQAlACUAJQAlACUAJQAlACUAJQ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A=this.consumeCodePoint();switch(A){case 34:return this.consumeStringToken(34);case 35:var e=this.peekCodePoint(0),t=this.peekCodePoint(1),r=this.peekCodePoint(2);if(FA(e)||hA(t,r)){var B=dA(e,t,r)?2:1;return{type:5,value:this.consumeName(),flags:B}}break;case 36:if(61===this.peekCodePoint(0))return this.consumeCodePoint(),IA;break;case 39:return this.consumeStringToken(39);case 40:return HA;case 41:return pA;case 42:if(61===this.peekCodePoint(0))return this.consumeCodePoint(),vA;break;case 43:if(fA(A,this.peekCodePoint(0),this.peekCodePoint(1)))return this.reconsumeCodePoint(A),this.consumeNumericToken();break;case 44:return EA;case 45:var r=A,B=this.peekCodePoint(0),n=this.peekCodePoint(1);if(fA(r,B,n))return this.reconsumeCodePoint(A),this.consumeNumericToken();if(dA(r,B,n))return this.reconsumeCodePoint(A),this.consumeIdentLikeToken();if(45===B&&62===n)return this.consumeCodePoint(),this.consumeCodePoint(),TA;break;case 46:if(fA(A,this.peekCodePoint(0),this.peekCodePoint(1)))return this.reconsumeCodePoint(A),this.consumeNumericToken();break;case 47:if(42===this.peekCodePoint(0))for(this.consumeCodePoint();;){var s=this.consumeCodePoint();if(42===s&&47===(s=this.consumeCodePoint()))return this.consumeToken();if(-1===s)return this.consumeToken()}break;case 58:return GA;case 59:return OA;case 60:if(33===this.peekCodePoint(0)&&45===this.peekCodePoint(1)&&45===this.peekCodePoint(2))return this.consumeCodePoint(),this.consumeCodePoint(),SA;break;case 64:var n=this.peekCodePoint(0),o=this.peekCodePoint(1),i=this.peekCodePoint(2);if(dA(n,o,i))return{type:7,value:this.consumeName()};break;case 91:return VA;case 92:if(hA(A,this.peekCodePoint(0)))return this.reconsumeCodePoint(A),this.consumeIdentLikeToken();break;case 93:return kA;case 61:if(61===this.peekCodePoint(0))return this.consumeCodePoint(),yA;break;case 123:return bA;case 125:return DA;case 117:case 85:o=this.peekCodePoint(0),i=this.peekCodePoint(1);return 43!==o||!lA(i)&&63!==i||(this.consumeCodePoint(),this.consumeUnicodeRangeToken()),this.reconsumeCodePoint(A),this.consumeIdentLikeToken();case 124:if(61===this.peekCodePoint(0))return this.consumeCodePoint(),mA;if(124===this.peekCodePoint(0))return this.consumeCodePoint(),KA;break;case 126:if(61===this.peekCodePoint(0))return this.consumeCodePoint(),LA;break;case-1:return NA}return CA(A)?(this.consumeWhiteSpace(),RA):UA(A)?(this.reconsumeCodePoint(A),this.consumeNumericToken()):uA(A)?(this.reconsumeCodePoint(A),this.consumeIdentLikeToken()):{type:6,value:g(A)}},XA.prototype.consumeCodePoint=function(){var A=this._value.shift();return void 0===A?-1:A},XA.prototype.reconsumeCodePoint=function(A){this._value.unshift(A)},XA.prototype.peekCodePoint=function(A){return A>=this._value.length?-1:this._value[A]},XA.prototype.consumeUnicodeRangeToken=function(){for(var A=[],e=this.consumeCodePoint();lA(e)&&A.length<6;)A.push(e),e=this.consumeCodePoint();for(var t=!1;63===e&&A.length<6;)A.push(e),e=this.consumeCodePoint(),t=!0;if(t)return{type:30,start:parseInt(g.apply(void 0,A.map(function(A){return 63===A?48:A})),16),end:parseInt(g.apply(void 0,A.map(function(A){return 63===A?70:A})),16)};var r=parseInt(g.apply(void 0,A),16);if(45===this.peekCodePoint(0)&&lA(this.peekCodePoint(1))){this.consumeCodePoint();for(var e=this.consumeCodePoint(),B=[];lA(e)&&B.length<6;)B.push(e),e=this.consumeCodePoint();return{type:30,start:r,end:parseInt(g.apply(void 0,B),16)}}return{type:30,start:r,end:r}},XA.prototype.consumeIdentLikeToken=function(){var A=this.consumeName();return"url"===A.toLowerCase()&&40===this.peekCodePoint(0)?(this.consumeCodePoint(),this.consumeUrlToken()):40===this.peekCodePoint(0)?(this.consumeCodePoint(),{type:19,value:A}):{type:20,value:A}},XA.prototype.consumeUrlToken=function(){var A=[];if(this.consumeWhiteSpace(),-1===this.peekCodePoint(0))return{type:22,value:""};var e,t=this.peekCodePoint(0);if(39===t||34===t){t=this.consumeStringToken(this.consumeCodePoint());return 0===t.type&&(this.consumeWhiteSpace(),-1===this.peekCodePoint(0)||41===this.peekCodePoint(0))?(this.consumeCodePoint(),{type:22,value:t.value}):(this.consumeBadUrlRemnants(),xA)}for(;;){var r=this.consumeCodePoint();if(-1===r||41===r)return{type:22,value:g.apply(void 0,A)};if(CA(r))return this.consumeWhiteSpace(),-1===this.peekCodePoint(0)||41===this.peekCodePoint(0)?(this.consumeCodePoint(),{type:22,value:g.apply(void 0,A)}):(this.consumeBadUrlRemnants(),xA);if(34===r||39===r||40===r||(0<=(e=r)&&e<=8||11===e||14<=e&&e<=31||127===e))return this.consumeBadUrlRemnants(),xA;if(92===r){if(!hA(r,this.peekCodePoint(0)))return this.consumeBadUrlRemnants(),xA;A.push(this.consumeEscapedCodePoint())}else A.push(r)}},XA.prototype.consumeWhiteSpace=function(){for(;CA(this.peekCodePoint(0));)this.consumeCodePoint()},XA.prototype.consumeBadUrlRemnants=function(){for(;;){var A=this.consumeCodePoint();if(41===A||-1===A)return;hA(A,this.peekCodePoint(0))&&this.consumeEscapedCodePoint()}},XA.prototype.consumeStringSlice=function(A){for(var e="";0<A;){var t=Math.min(5e4,A);e+=g.apply(void 0,this._value.splice(0,t)),A-=t}return this._value.shift(),e},XA.prototype.consumeStringToken=function(A){for(var e="",t=0;;){var r,B=this._value[t];if(-1===B||void 0===B||B===A)return{type:0,value:e+=this.consumeStringSlice(t)};if(10===B)return this._value.splice(0,t),MA;92!==B||-1!==(r=this._value[t+1])&&void 0!==r&&(10===r?(e+=this.consumeStringSlice(t),t=-1,this._value.shift()):hA(B,r)&&(e+=this.consumeStringSlice(t),e+=g(this.consumeEscapedCodePoint()),t=-1)),t++}},XA.prototype.consumeNumber=function(){var A=[],e=4;for(43!==(t=this.peekCodePoint(0))&&45!==t||A.push(this.consumeCodePoint());UA(this.peekCodePoint(0));)A.push(this.consumeCodePoint());var t=this.peekCodePoint(0),r=this.peekCodePoint(1);if(46===t&&UA(r))for(A.push(this.consumeCodePoint(),this.consumeCodePoint()),e=8;UA(this.peekCodePoint(0));)A.push(this.consumeCodePoint());t=this.peekCodePoint(0);var r=this.peekCodePoint(1),B=this.peekCodePoint(2);if((69===t||101===t)&&((43===r||45===r)&&UA(B)||UA(r)))for(A.push(this.consumeCodePoint(),this.consumeCodePoint()),e=8;UA(this.peekCodePoint(0));)A.push(this.consumeCodePoint());return[function(A){var e=0,t=1;43!==A[e]&&45!==A[e]||(45===A[e]&&(t=-1),e++);for(var r=[];UA(A[e]);)r.push(A[e++]);var B=r.length?parseInt(g.apply(void 0,r),10):0;46===A[e]&&e++;for(var n=[];UA(A[e]);)n.push(A[e++]);var s=n.length,o=s?parseInt(g.apply(void 0,n),10):0;69!==A[e]&&101!==A[e]||e++;var i=1;43!==A[e]&&45!==A[e]||(45===A[e]&&(i=-1),e++);for(var Q=[];UA(A[e]);)Q.push(A[e++]);var c=Q.length?parseInt(g.apply(void 0,Q),10):0;return t*(B+o*Math.pow(10,-s))*Math.pow(10,i*c)}(A),e]},XA.prototype.consumeNumericToken=function(){var A=this.consumeNumber(),e=A[0],t=A[1],r=this.peekCodePoint(0),B=this.peekCodePoint(1),A=this.peekCodePoint(2);return dA(r,B,A)?{type:15,number:e,flags:t,unit:this.consumeName()}:37===r?(this.consumeCodePoint(),{type:16,number:e,flags:t}):{type:17,number:e,flags:t}},XA.prototype.consumeEscapedCodePoint=function(){var A,e=this.consumeCodePoint();if(lA(e)){for(var t=g(e);lA(this.peekCodePoint(0))&&t.length<6;)t+=g(this.consumeCodePoint());CA(this.peekCodePoint(0))&&this.consumeCodePoint();var r=parseInt(t,16);return 0===r||55296<=(A=r)&&A<=57343||1114111<r?65533:r}return-1===e?65533:e},XA.prototype.consumeName=function(){for(var A="";;){var e=this.consumeCodePoint();if(FA(e))A+=g(e);else{if(!hA(e,this.peekCodePoint(0)))return this.reconsumeCodePoint(e),A;A+=g(this.consumeEscapedCodePoint())}}},XA);function XA(){this._value=[]}var JA=(YA.create=function(A){var e=new PA;return e.write(A),new YA(e.read())},YA.parseValue=function(A){return YA.create(A).parseComponentValue()},YA.parseValues=function(A){return YA.create(A).parseComponentValues()},YA.prototype.parseComponentValue=function(){for(var A=this.consumeToken();31===A.type;)A=this.consumeToken();if(32===A.type)throw new SyntaxError("Error parsing CSS component value, unexpected EOF");this.reconsumeToken(A);for(var e=this.consumeComponentValue();31===(A=this.consumeToken()).type;);if(32===A.type)return e;throw new SyntaxError("Error parsing CSS component value, multiple values found when expecting only one")},YA.prototype.parseComponentValues=function(){for(var A=[];;){var e=this.consumeComponentValue();if(32===e.type)return A;A.push(e),A.push()}},YA.prototype.consumeComponentValue=function(){var A=this.consumeToken();switch(A.type){case 11:case 28:case 2:return this.consumeSimpleBlock(A.type);case 19:return this.consumeFunction(A)}return A},YA.prototype.consumeSimpleBlock=function(A){for(var e={type:A,values:[]},t=this.consumeToken();;){if(32===t.type||ce(t,A))return e;this.reconsumeToken(t),e.values.push(this.consumeComponentValue()),t=this.consumeToken()}},YA.prototype.consumeFunction=function(A){for(var e={name:A.value,values:[],type:18};;){var t=this.consumeToken();if(32===t.type||3===t.type)return e;this.reconsumeToken(t),e.values.push(this.consumeComponentValue())}},YA.prototype.consumeToken=function(){var A=this._tokens.shift();return void 0===A?NA:A},YA.prototype.reconsumeToken=function(A){this._tokens.unshift(A)},YA);function YA(A){this._tokens=A}function WA(A){return 15===A.type}function ZA(A){return 17===A.type}function _A(A){return 20===A.type}function qA(A){return 0===A.type}function jA(A,e){return _A(A)&&A.value===e}function zA(A){return 31!==A.type}function $A(A){return 31!==A.type&&4!==A.type}function Ae(A){var e=[],t=[];return A.forEach(function(A){if(4===A.type){if(0===t.length)throw new Error("Error parsing function args, zero tokens for arg");return 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Zn(t.left,t.top+t.height),this.topLeftPaddingBox=0<r||0<B?ss(t.left+F,t.top+l,Math.max(0,r-F),Math.max(0,B-l),As.TOP_LEFT):new Zn(t.left+F,t.top+l),this.topRightPaddingBox=0<n||0<s?ss(t.left+Math.min(a,t.width-C),t.top+l,a>t.width+C?0:Math.max(0,n-C),Math.max(0,s-l),As.TOP_RIGHT):new Zn(t.left+t.width-C,t.top+l),this.bottomRightPaddingBox=0<o||0<i?ss(t.left+Math.min(w,t.width-F),t.top+Math.min(g,t.height-u),Math.max(0,o-C),Math.max(0,i-u),As.BOTTOM_RIGHT):new Zn(t.left+t.width-C,t.top+t.height-u),this.bottomLeftPaddingBox=0<Q||0<c?ss(t.left+F,t.top+Math.min(U,t.height-u),Math.max(0,Q-F),Math.max(0,c-u),As.BOTTOM_LEFT):new Zn(t.left+F,t.top+t.height-u),this.topLeftContentBox=0<r||0<B?ss(t.left+F+A,t.top+l+h,Math.max(0,r-(F+A)),Math.max(0,B-(l+h)),As.TOP_LEFT):new Zn(t.left+F+A,t.top+l+h),this.topRightContentBox=0<n||0<s?ss(t.left+Math.min(a,t.width+F+A),t.top+l+h,a>t.width+F+A?0:n-F+A,s-(l+h),As.TOP_RIGHT):new Zn(t.left+t.width-(C+d),t.top+l+h),this.bottomRightContentBox=0<o||0<i?ss(t.left+Math.min(w,t.width-(F+A)),t.top+Math.min(g,t.height+l+h),Math.max(0,o-(C+d)),i-(u+f),As.BOTTOM_RIGHT):new Zn(t.left+t.width-(C+d),t.top+t.height-(u+f)),this.bottomLeftContentBox=0<Q||0<c?ss(t.left+F+A,t.top+U,Math.max(0,Q-(F+A)),c-(u+f),As.BOTTOM_LEFT):new Zn(t.left+F+A,t.top+t.height-(u+f))};(he=As=As||{})[he.TOP_LEFT=0]="TOP_LEFT",he[he.TOP_RIGHT=1]="TOP_RIGHT",he[he.BOTTOM_RIGHT=2]="BOTTOM_RIGHT",he[he.BOTTOM_LEFT=3]="BOTTOM_LEFT";function ts(A){return[A.topLeftBorderBox,A.topRightBorderBox,A.bottomRightBorderBox,A.bottomLeftBorderBox]}function rs(A){return[A.topLeftPaddingBox,A.topRightPaddingBox,A.bottomRightPaddingBox,A.bottomLeftPaddingBox]}function Bs(A){return 1===A.type}function ns(A,t){return A.length===t.length&&A.some(function(A,e){return A===t[e]})}var ss=function(A,e,t,r,B){var n=(Math.sqrt(2)-1)/3*4,s=t*n,o=r*n,i=A+t,Q=e+r;switch(B){case As.TOP_LEFT:return new jn(new Zn(A,Q),new Zn(A,Q-o),new Zn(i-s,e),new Zn(i,e));case As.TOP_RIGHT:return new jn(new Zn(A,e),new Zn(A+s,e),new Zn(i,Q-o),new Zn(i,Q));case As.BOTTOM_RIGHT:return new jn(new Zn(i,e),new Zn(i,e+o),new Zn(A+s,Q),new Zn(A,Q));default:As.BOTTOM_LEFT;return new jn(new Zn(i,Q),new Zn(i-s,Q),new Zn(A,e+o),new Zn(A,e))}},os=function(A,e,t){this.offsetX=A,this.offsetY=e,this.matrix=t,this.type=0,this.target=6},is=function(A,e){this.path=A,this.target=e,this.type=1},Qs=function(A){this.opacity=A,this.type=2,this.target=6},cs=function(A){this.element=A,this.inlineLevel=[],this.nonInlineLevel=[],this.negativeZIndex=[],this.zeroOrAutoZIndexOrTransformedOrOpacity=[],this.positiveZIndex=[],this.nonPositionedFloats=[],this.nonPositionedInlineLevel=[]},as=(gs.prototype.getEffects=function(e){for(var A=-1===[2,3].indexOf(this.container.styles.position),t=this.parent,r=this.effects.slice(0);t;){var B,n,s=t.effects.filter(function(A){return!Bs(A)});A||0!==t.container.styles.position||!t.parent?(r.unshift.apply(r,s),A=-1===[2,3].indexOf(t.container.styles.position),0!==t.container.styles.overflowX&&(B=ts(t.curves),n=rs(t.curves),ns(B,n)||r.unshift(new is(n,6)))):r.unshift.apply(r,s),t=t.parent}return r.filter(function(A){return Pt(A.target,e)})},gs);function gs(A,e){var t,r;this.container=A,this.parent=e,this.effects=[],this.curves=new es(this.container),this.container.styles.opacity<1&&this.effects.push(new Qs(this.container.styles.opacity)),null!==this.container.styles.transform&&(e=this.container.bounds.left+this.container.styles.transformOrigin[0].number,t=this.container.bounds.top+this.container.styles.transformOrigin[1].number,r=this.container.styles.transform,this.effects.push(new os(e,t,r))),0!==this.container.styles.overflowX&&(t=ts(this.curves),r=rs(this.curves),ns(t,r)?this.effects.push(new is(t,6)):(this.effects.push(new is(t,2)),this.effects.push(new is(r,4))))}function ws(A,e){switch(e){case 0:return Hs(A.topLeftBorderBox,A.topLeftPaddingBox,A.topRightBorderBox,A.topRightPaddingBox);case 1:return Hs(A.topRightBorderBox,A.topRightPaddingBox,A.bottomRightBorderBox,A.bottomRightPaddingBox);case 2:return Hs(A.bottomRightBorderBox,A.bottomRightPaddingBox,A.bottomLeftBorderBox,A.bottomLeftPaddingBox);default:return Hs(A.bottomLeftBorderBox,A.bottomLeftPaddingBox,A.topLeftBorderBox,A.topLeftPaddingBox)}}function Us(A){var e=A.bounds,A=A.styles;return e.add(A.borderLeftWidth,A.borderTopWidth,-(A.borderRightWidth+A.borderLeftWidth),-(A.borderTopWidth+A.borderBottomWidth))}function ls(A){var e=A.styles,t=A.bounds,r=Ue(e.paddingLeft,t.width),B=Ue(e.paddingRight,t.width),n=Ue(e.paddingTop,t.width),A=Ue(e.paddingBottom,t.width);return t.add(r+e.borderLeftWidth,n+e.borderTopWidth,-(e.borderRightWidth+e.borderLeftWidth+r+B),-(e.borderTopWidth+e.borderBottomWidth+n+A))}function Cs(A,e,t){var r=(B=Es(A.styles.backgroundOrigin,e),n=A,0===B?n.bounds:(2===B?ls:Us)(n)),B=(s=Es(A.styles.backgroundClip,e),o=A,0===s?o.bounds:(2===s?ls:Us)(o)),n=ps(Es(A.styles.backgroundSize,e),t,r),s=n[0],o=n[1],t=Be(Es(A.styles.backgroundPosition,e),r.width-s,r.height-o);return[Is(Es(A.styles.backgroundRepeat,e),t,n,r,B),Math.round(r.left+t[0]),Math.round(r.top+t[1]),s,o]}function us(A){return _A(A)&&A.value===Ve.AUTO}function Fs(A){return"number"==typeof A}var hs=function(Q,c,a,g){Q.container.elements.forEach(function(A){var e=Pt(A.flags,4),t=Pt(A.flags,2),r=new as(A,Q);Pt(A.styles.display,2048)&&g.push(r);var B,n,s,o,i=Pt(A.flags,8)?[]:g;e||t?(B=e||A.styles.isPositioned()?a:c,t=new cs(r),A.styles.isPositioned()||A.styles.opacity<1||A.styles.isTransformed()?(n=A.styles.zIndex.order)<0?(s=0,B.negativeZIndex.some(function(A,e){return n>A.element.container.styles.zIndex.order?(s=e,!1):0<s}),B.negativeZIndex.splice(s,0,t)):0<n?(o=0,B.positiveZIndex.some(function(A,e){return 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$n(A)?B.push(A.subdivide(.5,!1)):B.push(A),$n(t)?B.push(t.subdivide(.5,!0)):B.push(t),$n(r)?B.push(r.subdivide(.5,!0).reverse()):B.push(r),$n(e)?B.push(e.subdivide(.5,!1).reverse()):B.push(e),B},ps=function(A,e,t){var r=e[0],B=e[1],n=e[2],s=A[0],o=A[1];if(!s)return[0,0];if(te(s)&&o&&te(o))return[Ue(s,t.width),Ue(o,t.height)];var i=Fs(n);if(_A(s)&&(s.value===Ve.CONTAIN||s.value===Ve.COVER))return Fs(n)?t.width/t.height<n!=(s.value===Ve.COVER)?[t.width,t.width/n]:[t.height*n,t.height]:[t.width,t.height];var Q=Fs(r),e=Fs(B),A=Q||e;if(us(s)&&(!o||us(o)))return Q&&e?[r,B]:i||A?A&&i?[Q?r:B*n,e?B:r/n]:[Q?r:t.width,e?B:t.height]:[t.width,t.height];if(i){var c=0,a=0;return te(s)?c=Ue(s,t.width):te(o)&&(a=Ue(o,t.height)),us(s)?c=a*n:o&&!us(o)||(a=c/n),[c,a]}c=null,a=null;if(te(s)?c=Ue(s,t.width):o&&te(o)&&(a=Ue(o,t.height)),null!==(c=null!==(a=null!==c&&(!o||us(o))?Q&&e?c/r*B:t.height:a)&&us(s)?Q&&e?a/B*r:t.width:c)&&null!==a)return[c,a];throw new Error("Unable to calculate background-size for element")},Es=function(A,e){e=A[e];return void 0===e?A[0]:e},Is=function(A,e,t,r,B){var n=e[0],s=e[1],o=t[0],i=t[1];switch(A){case 2:return[new Zn(Math.round(r.left),Math.round(r.top+s)),new Zn(Math.round(r.left+r.width),Math.round(r.top+s)),new Zn(Math.round(r.left+r.width),Math.round(i+r.top+s)),new Zn(Math.round(r.left),Math.round(i+r.top+s))];case 3:return[new Zn(Math.round(r.left+n),Math.round(r.top)),new Zn(Math.round(r.left+n+o),Math.round(r.top)),new Zn(Math.round(r.left+n+o),Math.round(r.height+r.top)),new Zn(Math.round(r.left+n),Math.round(r.height+r.top))];case 1:return[new Zn(Math.round(r.left+n),Math.round(r.top+s)),new Zn(Math.round(r.left+n+o),Math.round(r.top+s)),new Zn(Math.round(r.left+n+o),Math.round(r.top+s+i)),new Zn(Math.round(r.left+n),Math.round(r.top+s+i))];default:return[new Zn(Math.round(B.left),Math.round(B.top)),new Zn(Math.round(B.left+B.width),Math.round(B.top)),new Zn(Math.round(B.left+B.width),Math.round(B.height+B.top)),new Zn(Math.round(B.left),Math.round(B.height+B.top))]}},ys="Hidden Text",Ks=(ms.prototype.parseMetrics=function(A,e){var t=this._document.createElement("div"),r=this._document.createElement("img"),B=this._document.createElement("span"),n=this._document.body;t.style.visibility="hidden",t.style.fontFamily=A,t.style.fontSize=e,t.style.margin="0",t.style.padding="0",t.style.whiteSpace="nowrap",n.appendChild(t),r.src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7",r.width=1,r.height=1,r.style.margin="0",r.style.padding="0",r.style.verticalAlign="baseline",B.style.fontFamily=A,B.style.fontSize=e,B.style.margin="0",B.style.padding="0",B.appendChild(this._document.createTextNode(ys)),t.appendChild(B),t.appendChild(r);e=r.offsetTop-B.offsetTop+2;t.removeChild(B),t.appendChild(this._document.createTextNode(ys)),t.style.lineHeight="normal",r.style.verticalAlign="super";r=r.offsetTop-t.offsetTop+2;return n.removeChild(t),{baseline:e,middle:r}},ms.prototype.getMetrics=function(A,e){var t=A+" "+e;return void 0===this._data[t]&&(this._data[t]=this.parseMetrics(A,e)),this._data[t]},ms);function ms(A){this._data={},this._document=A}var Ls,he=function(A,e){this.context=A,this.options=e},bs=(A(Ds,Ls=he),Ds.prototype.applyEffects=function(A){for(var e=this;this._activeEffects.length;)this.popEffect();A.forEach(function(A){return e.applyEffect(A)})},Ds.prototype.applyEffect=function(A){this.ctx.save(),2===A.type&&(this.ctx.globalAlpha=A.opacity),0===A.type&&(this.ctx.translate(A.offsetX,A.offsetY),this.ctx.transform(A.matrix[0],A.matrix[1],A.matrix[2],A.matrix[3],A.matrix[4],A.matrix[5]),this.ctx.translate(-A.offsetX,-A.offsetY)),Bs(A)&&(this.path(A.path),this.ctx.clip()),this._activeEffects.push(A)},Ds.prototype.popEffect=function(){this._activeEffects.pop(),this.ctx.restore()},Ds.prototype.renderStack=function(e){return a(this,void 0,void 0,function(){return H(this,function(A){switch(A.label){case 0:return e.element.container.styles.isVisible()?[4,this.renderStackContent(e)]:[3,2];case 1:A.sent(),A.label=2;case 2:return[2]}})})},Ds.prototype.renderNode=function(e){return a(this,void 0,void 0,function(){return H(this,function(A){switch(A.label){case 0:return Pt(e.container.flags,16),e.container.styles.isVisible()?[4,this.renderNodeBackgroundAndBorders(e)]:[3,3];case 1:return A.sent(),[4,this.renderNodeContent(e)];case 2:A.sent(),A.label=3;case 3:return[2]}})})},Ds.prototype.renderTextWithLetterSpacing=function(t,A,r){var B=this;0===A?this.ctx.fillText(t.text,t.bounds.left,t.bounds.top+r):Zr(t.text).reduce(function(A,e){return B.ctx.fillText(e,A,t.bounds.top+r),A+B.ctx.measureText(e).width},t.bounds.left)},Ds.prototype.createFontStyle=function(A){var e=A.fontVariant.filter(function(A){return"normal"===A||"small-caps"===A}).join(""),t=Gs(A.fontFamily).join(", 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e=Q.textShadow;e.length&&t.text.trim().length&&(e.slice(0).reverse().forEach(function(A){o.ctx.shadowColor=ie(A.color),o.ctx.shadowOffsetX=A.offsetX.number*o.options.scale,o.ctx.shadowOffsetY=A.offsetY.number*o.options.scale,o.ctx.shadowBlur=A.blur.number,o.renderTextWithLetterSpacing(t,Q.letterSpacing,B)}),o.ctx.shadowColor="",o.ctx.shadowOffsetX=0,o.ctx.shadowOffsetY=0,o.ctx.shadowBlur=0),Q.textDecorationLine.length&&(o.ctx.fillStyle=ie(Q.textDecorationColor||Q.color),Q.textDecorationLine.forEach(function(A){switch(A){case 1:o.ctx.fillRect(t.bounds.left,Math.round(t.bounds.top+B),t.bounds.width,1);break;case 2:o.ctx.fillRect(t.bounds.left,Math.round(t.bounds.top),t.bounds.width,1);break;case 3:o.ctx.fillRect(t.bounds.left,Math.ceil(t.bounds.top+n),t.bounds.width,1)}}));break;case 1:Q.webkitTextStrokeWidth&&t.text.trim().length&&(o.ctx.strokeStyle=ie(Q.webkitTextStrokeColor),o.ctx.lineWidth=Q.webkitTextStrokeWidth,o.ctx.lineJoin=window.chrome?"miter":"round",o.ctx.strokeText(t.text,t.bounds.left,t.bounds.top+B)),o.ctx.strokeStyle="",o.ctx.lineWidth=0,o.ctx.lineJoin="miter"}})}),[2]})})},Ds.prototype.renderReplacedElement=function(A,e,t){var r;t&&0<A.intrinsicWidth&&0<A.intrinsicHeight&&(r=ls(A),e=rs(e),this.path(e),this.ctx.save(),this.ctx.clip(),this.ctx.drawImage(t,0,0,A.intrinsicWidth,A.intrinsicHeight,r.left,r.top,r.width,r.height),this.ctx.restore())},Ds.prototype.renderNodeContent=function(w){return a(this,void 0,void 0,function(){var e,t,r,B,n,s,o,i,Q,c,a,g;return H(this,function(A){switch(A.label){case 0:this.applyEffects(w.getEffects(4)),e=w.container,t=w.curves,r=e.styles,B=0,n=e.textNodes,A.label=1;case 1:return B<n.length?(s=n[B],[4,this.renderTextNode(s,r)]):[3,4];case 2:A.sent(),A.label=3;case 3:return B++,[3,1];case 4:if(!(e instanceof tB))return[3,8];A.label=5;case 5:return A.trys.push([5,7,,8]),[4,this.context.cache.match(e.src)];case 6:return Q=A.sent(),this.renderReplacedElement(e,t,Q),[3,8];case 7:return A.sent(),this.context.logger.error("Error loading image "+e.src),[3,8];case 8:if(e instanceof nB&&this.renderReplacedElement(e,t,e.canvas),!(e instanceof iB))return[3,12];A.label=9;case 9:return A.trys.push([9,11,,12]),[4,this.context.cache.match(e.svg)];case 10:return Q=A.sent(),this.renderReplacedElement(e,t,Q),[3,12];case 11:return A.sent(),this.context.logger.error("Error loading svg "+e.svg.substring(0,255)),[3,12];case 12:return e instanceof vB&&e.tree?[4,new Ds(this.context,{scale:this.options.scale,backgroundColor:e.backgroundColor,x:0,y:0,width:e.width,height:e.height}).render(e.tree)]:[3,14];case 13:s=A.sent(),e.width&&e.height&&this.ctx.drawImage(s,0,0,e.width,e.height,e.bounds.left,e.bounds.top,e.bounds.width,e.bounds.height),A.label=14;case 14:if(e instanceof pB&&(i=Math.min(e.bounds.width,e.bounds.height),e.type===hB?e.checked&&(this.ctx.save(),this.path([new Zn(e.bounds.left+.39363*i,e.bounds.top+.79*i),new Zn(e.bounds.left+.16*i,e.bounds.top+.5549*i),new Zn(e.bounds.left+.27347*i,e.bounds.top+.44071*i),new Zn(e.bounds.left+.39694*i,e.bounds.top+.5649*i),new Zn(e.bounds.left+.72983*i,e.bounds.top+.23*i),new Zn(e.bounds.left+.84*i,e.bounds.top+.34085*i),new Zn(e.bounds.left+.39363*i,e.bounds.top+.79*i)]),this.ctx.fillStyle=ie(HB),this.ctx.fill(),this.ctx.restore()):e.type===dB&&e.checked&&(this.ctx.save(),this.ctx.beginPath(),this.ctx.arc(e.bounds.left+i/2,e.bounds.top+i/2,i/4,0,2*Math.PI,!0),this.ctx.fillStyle=ie(HB),this.ctx.fill(),this.ctx.restore())),xs(e)&&e.value.length){switch(c=this.createFontStyle(r),a=c[0],i=c[1],c=this.fontMetrics.getMetrics(a,i).baseline,this.ctx.font=a,this.ctx.fillStyle=ie(r.color),this.ctx.textBaseline="alphabetic",this.ctx.textAlign=Ss(e.styles.textAlign),g=ls(e),o=0,e.styles.textAlign){case 1:o+=g.width/2;break;case 2:o+=g.width}i=g.add(o,0,0,-g.height/2+1),this.ctx.save(),this.path([new Zn(g.left,g.top),new Zn(g.left+g.width,g.top),new Zn(g.left+g.width,g.top+g.height),new Zn(g.left,g.top+g.height)]),this.ctx.clip(),this.renderTextWithLetterSpacing(new Jr(e.value,i),r.letterSpacing,c),this.ctx.restore(),this.ctx.textBaseline="alphabetic",this.ctx.textAlign="left"}if(!Pt(e.styles.display,2048))return[3,20];if(null===e.styles.listStyleImage)return[3,19];if(0!==(c=e.styles.listStyleImage).type)return[3,18];Q=void 0,c=c.url,A.label=15;case 15:return A.trys.push([15,17,,18]),[4,this.context.cache.match(c)];case 16:return Q=A.sent(),this.ctx.drawImage(Q,e.bounds.left-(Q.width+10),e.bounds.top),[3,18];case 17:return A.sent(),this.context.logger.error("Error loading list-style-image "+c),[3,18];case 18:return[3,20];case 19:w.listValue&&-1!==e.styles.listStyleType&&(a=this.createFontStyle(r)[0],this.ctx.font=a,this.ctx.fillStyle=ie(r.color),this.ctx.textBaseline="middle",this.ctx.textAlign="right",g=new d(e.bounds.left,e.bounds.top+Ue(e.styles.paddingTop,e.bounds.width),e.bounds.width,Ye(r.lineHeight,r.fontSize.number)/2+1),this.renderTextWithLetterSpacing(new Jr(w.listValue,g),r.letterSpacing,Ye(r.lineHeight,r.fontSize.number)/2+2),this.ctx.textBaseline="bottom",this.ctx.textAlign="left"),A.label=20;case 20:return[2]}})})},Ds.prototype.renderStackContent=function(C){return a(this,void 0,void 0,function(){var e,t,r,B,n,s,o,i,Q,c,a,g,w,U,l;return H(this,function(A){switch(A.label){case 0:return Pt(C.element.container.flags,16),[4,this.renderNodeBackgroundAndBorders(C.element)];case 1:A.sent(),e=0,t=C.negativeZIndex,A.label=2;case 2:return e<t.length?(l=t[e],[4,this.renderStack(l)]):[3,5];case 3:A.sent(),A.label=4;case 4:return e++,[3,2];case 5:return[4,this.renderNodeContent(C.element)];case 6:A.sent(),r=0,B=C.nonInlineLevel,A.label=7;case 7:return r<B.length?(l=B[r],[4,this.renderNode(l)]):[3,10];case 8:A.sent(),A.label=9;case 9:return r++,[3,7];case 10:n=0,s=C.nonPositionedFloats,A.label=11;case 11:return n<s.length?(l=s[n],[4,this.renderStack(l)]):[3,14];case 12:A.sent(),A.label=13;case 13:return n++,[3,11];case 14:o=0,i=C.nonPositionedInlineLevel,A.label=15;case 15:return o<i.length?(l=i[o],[4,this.renderStack(l)]):[3,18];case 16:A.sent(),A.label=17;case 17:return o++,[3,15];case 18:Q=0,c=C.inlineLevel,A.label=19;case 19:return Q<c.length?(l=c[Q],[4,this.renderNode(l)]):[3,22];case 20:A.sent(),A.label=21;case 21:return Q++,[3,19];case 22:a=0,g=C.zeroOrAutoZIndexOrTransformedOrOpacity,A.label=23;case 23:return a<g.length?(l=g[a],[4,this.renderStack(l)]):[3,26];case 24:A.sent(),A.label=25;case 25:return a++,[3,23];case 26:w=0,U=C.positiveZIndex,A.label=27;case 27:return w<U.length?(l=U[w],[4,this.renderStack(l)]):[3,30];case 28:A.sent(),A.label=29;case 29:return w++,[3,27];case 30:return[2]}})})},Ds.prototype.mask=function(A){this.ctx.beginPath(),this.ctx.moveTo(0,0),this.ctx.lineTo(this.canvas.width,0),this.ctx.lineTo(this.canvas.width,this.canvas.height),this.ctx.lineTo(0,this.canvas.height),this.ctx.lineTo(0,0),this.formatPath(A.slice(0).reverse()),this.ctx.closePath()},Ds.prototype.path=function(A){this.ctx.beginPath(),this.formatPath(A),this.ctx.closePath()},Ds.prototype.formatPath=function(A){var r=this;A.forEach(function(A,e){var t=$n(A)?A.start:A;0===e?r.ctx.moveTo(t.x,t.y):r.ctx.lineTo(t.x,t.y),$n(A)&&r.ctx.bezierCurveTo(A.startControl.x,A.startControl.y,A.endControl.x,A.endControl.y,A.end.x,A.end.y)})},Ds.prototype.renderRepeat=function(A,e,t,r){this.path(A),this.ctx.fillStyle=e,this.ctx.translate(t,r),this.ctx.fill(),this.ctx.translate(-t,-r)},Ds.prototype.resizeImage=function(A,e,t){if(A.width===e&&A.height===t)return A;var r=(null!==(r=this.canvas.ownerDocument)&&void 0!==r?r:document).createElement("canvas");return r.width=Math.max(1,e),r.height=Math.max(1,t),r.getContext("2d").drawImage(A,0,0,A.width,A.height,0,0,e,t),r},Ds.prototype.renderBackgroundImage=function(f){return a(this,void 0,void 0,function(){var h,e,d,t,r,B;return H(this,function(A){switch(A.label){case 0:h=f.styles.backgroundImage.length-1,e=function(e){var t,r,B,n,s,o,i,Q,c,a,g,w,U,l,C,u,F;return H(this,function(A){switch(A.label){case 0:if(0!==e.type)return[3,5];t=void 0,r=e.url,A.label=1;case 1:return A.trys.push([1,3,,4]),[4,d.context.cache.match(r)];case 2:return t=A.sent(),[3,4];case 3:return A.sent(),d.context.logger.error("Error loading background-image "+r),[3,4];case 4:return t&&(B=Cs(f,h,[t.width,t.height,t.width/t.height]),o=B[0],g=B[1],w=B[2],c=B[3],a=B[4],s=d.ctx.createPattern(d.resizeImage(t,c,a),"repeat"),d.renderRepeat(o,s,g,w)),[3,6];case 5:1===e.type?(F=Cs(f,h,[null,null,null]),o=F[0],g=F[1],w=F[2],c=F[3],a=F[4],C=Ee(e.angle,c,a),l=C[0],B=C[1],i=C[2],u=C[3],Q=C[4],(F=document.createElement("canvas")).width=c,F.height=a,C=F.getContext("2d"),n=C.createLinearGradient(B,u,i,Q),pe(e.stops,l).forEach(function(A){return n.addColorStop(A.stop,ie(A.color))}),C.fillStyle=n,C.fillRect(0,0,c,a),0<c&&0<a&&(s=d.ctx.createPattern(F,"repeat"),d.renderRepeat(o,s,g,w))):2===e.type&&(u=Cs(f,h,[null,null,null]),o=u[0],i=u[1],Q=u[2],c=u[3],a=u[4],l=0===e.position.length?[ge]:e.position,g=Ue(l[0],c),w=Ue(l[l.length-1],a),C=function(A,e,t,r,B){var n,s,o,i,Q=0,c=0;switch(A.size){case 0:0===A.shape?Q=c=Math.min(Math.abs(e),Math.abs(e-r),Math.abs(t),Math.abs(t-B)):1===A.shape&&(Q=Math.min(Math.abs(e),Math.abs(e-r)),c=Math.min(Math.abs(t),Math.abs(t-B)));break;case 2:0===A.shape?Q=c=Math.min(Ie(e,t),Ie(e,t-B),Ie(e-r,t),Ie(e-r,t-B)):1===A.shape&&(n=Math.min(Math.abs(t),Math.abs(t-B))/Math.min(Math.abs(e),Math.abs(e-r)),o=(s=ye(r,B,e,t,!0))[0],i=s[1],c=n*(Q=Ie(o-e,(i-t)/n)));break;case 1:0===A.shape?Q=c=Math.max(Math.abs(e),Math.abs(e-r),Math.abs(t),Math.abs(t-B)):1===A.shape&&(Q=Math.max(Math.abs(e),Math.abs(e-r)),c=Math.max(Math.abs(t),Math.abs(t-B)));break;case 3:0===A.shape?Q=c=Math.max(Ie(e,t),Ie(e,t-B),Ie(e-r,t),Ie(e-r,t-B)):1===A.shape&&(n=Math.max(Math.abs(t),Math.abs(t-B))/Math.max(Math.abs(e),Math.abs(e-r)),o=(s=ye(r,B,e,t,!1))[0],i=s[1],c=n*(Q=Ie(o-e,(i-t)/n)))}return Array.isArray(A.size)&&(Q=Ue(A.size[0],r),c=2===A.size.length?Ue(A.size[1],B):Q),[Q,c]}(e,g,w,c,a),F=C[0],u=C[1],0<F&&0<u&&(U=d.ctx.createRadialGradient(i+g,Q+w,0,i+g,Q+w,F),pe(e.stops,2*F).forEach(function(A){return U.addColorStop(A.stop,ie(A.color))}),d.path(o),d.ctx.fillStyle=U,F!==u?(l=f.bounds.left+.5*f.bounds.width,C=f.bounds.top+.5*f.bounds.height,F=1/(u=u/F),d.ctx.save(),d.ctx.translate(l,C),d.ctx.transform(1,0,0,u,0,0),d.ctx.translate(-l,-C),d.ctx.fillRect(i,F*(Q-C)+C,c,a*F),d.ctx.restore()):d.ctx.fill())),A.label=6;case 6:return h--,[2]}})},d=this,t=0,r=f.styles.backgroundImage.slice(0).reverse(),A.label=1;case 1:return t<r.length?(B=r[t],[5,e(B)]):[3,4];case 2:A.sent(),A.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},Ds.prototype.renderSolidBorder=function(e,t,r){return a(this,void 0,void 0,function(){return H(this,function(A){return this.path(ws(r,t)),this.ctx.fillStyle=ie(e),this.ctx.fill(),[2]})})},Ds.prototype.renderDoubleBorder=function(t,r,B,n){return a(this,void 0,void 0,function(){var e;return H(this,function(A){switch(A.label){case 0:return r<3?[4,this.renderSolidBorder(t,B,n)]:[3,2];case 1:return A.sent(),[2];case 2:return e=function(A,e){switch(e){case 0:return Hs(A.topLeftBorderBox,A.topLeftBorderDoubleOuterBox,A.topRightBorderBox,A.topRightBorderDoubleOuterBox);case 1:return Hs(A.topRightBorderBox,A.topRightBorderDoubleOuterBox,A.bottomRightBorderBox,A.bottomRightBorderDoubleOuterBox);case 2:return Hs(A.bottomRightBorderBox,A.bottomRightBorderDoubleOuterBox,A.bottomLeftBorderBox,A.bottomLeftBorderDoubleOuterBox);default:return Hs(A.bottomLeftBorderBox,A.bottomLeftBorderDoubleOuterBox,A.topLeftBorderBox,A.topLeftBorderDoubleOuterBox)}}(n,B),this.path(e),this.ctx.fillStyle=ie(t),this.ctx.fill(),e=function(A,e){switch(e){case 0:return Hs(A.topLeftBorderDoubleInnerBox,A.topLeftPaddingBox,A.topRightBorderDoubleInnerBox,A.topRightPaddingBox);case 1:return Hs(A.topRightBorderDoubleInnerBox,A.topRightPaddingBox,A.bottomRightBorderDoubleInnerBox,A.bottomRightPaddingBox);case 2:return Hs(A.bottomRightBorderDoubleInnerBox,A.bottomRightPaddingBox,A.bottomLeftBorderDoubleInnerBox,A.bottomLeftPaddingBox);default:return Hs(A.bottomLeftBorderDoubleInnerBox,A.bottomLeftPaddingBox,A.topLeftBorderDoubleInnerBox,A.topLeftPaddingBox)}}(n,B),this.path(e),this.ctx.fill(),[2]}})})},Ds.prototype.renderNodeBackgroundAndBorders=function(c){return a(this,void 0,void 0,function(){var e,t,r,B,n,s,o,i,Q=this;return H(this,function(A){switch(A.label){case 0:return(this.applyEffects(c.getEffects(2)),e=c.container.styles,t=!oe(e.backgroundColor)||e.backgroundImage.length,r=[{style:e.borderTopStyle,color:e.borderTopColor,width:e.borderTopWidth},{style:e.borderRightStyle,color:e.borderRightColor,width:e.borderRightWidth},{style:e.borderBottomStyle,color:e.borderBottomColor,width:e.borderBottomWidth},{style:e.borderLeftStyle,color:e.borderLeftColor,width:e.borderLeftWidth}],B=Ms(Es(e.backgroundClip,0),c.curves),t||e.boxShadow.length)?(this.ctx.save(),this.path(B),this.ctx.clip(),oe(e.backgroundColor)||(this.ctx.fillStyle=ie(e.backgroundColor),this.ctx.fill()),[4,this.renderBackgroundImage(c.container)]):[3,2];case 1:A.sent(),this.ctx.restore(),e.boxShadow.slice(0).reverse().forEach(function(A){Q.ctx.save();var t,r,B,n,e=ts(c.curves),s=A.inset?0:1e4,o=(t=-s+(A.inset?1:-1)*A.spread.number,r=(A.inset?1:-1)*A.spread.number,B=A.spread.number*(A.inset?-2:2),n=A.spread.number*(A.inset?-2:2),e.map(function(A,e){switch(e){case 0:return A.add(t,r);case 1:return A.add(t+B,r);case 2:return A.add(t+B,r+n);case 3:return A.add(t,r+n)}return A}));A.inset?(Q.path(e),Q.ctx.clip(),Q.mask(o)):(Q.mask(e),Q.ctx.clip(),Q.path(o)),Q.ctx.shadowOffsetX=A.offsetX.number+s,Q.ctx.shadowOffsetY=A.offsetY.number,Q.ctx.shadowColor=ie(A.color),Q.ctx.shadowBlur=A.blur.number,Q.ctx.fillStyle=A.inset?ie(A.color):"rgba(0,0,0,1)",Q.ctx.fill(),Q.ctx.restore()}),A.label=2;case 2:s=n=0,o=r,A.label=3;case 3:return s<o.length?0!==(i=o[s]).style&&!oe(i.color)&&0<i.width?2!==i.style?[3,5]:[4,this.renderDashedDottedBorder(i.color,i.width,n,c.curves,2)]:[3,11]:[3,13];case 4:return A.sent(),[3,11];case 5:return 3!==i.style?[3,7]:[4,this.renderDashedDottedBorder(i.color,i.width,n,c.curves,3)];case 6:return A.sent(),[3,11];case 7:return 4!==i.style?[3,9]:[4,this.renderDoubleBorder(i.color,i.width,n,c.curves)];case 8:return A.sent(),[3,11];case 9:return[4,this.renderSolidBorder(i.color,n,c.curves)];case 10:A.sent(),A.label=11;case 11:n++,A.label=12;case 12:return s++,[3,3];case 13:return[2]}})})},Ds.prototype.renderDashedDottedBorder=function(g,w,U,l,C){return a(this,void 0,void 0,function(){var e,t,r,B,n,s,o,i,Q,c,a;return H(this,function(A){return this.ctx.save(),Q=function(A,e){switch(e){case 0:return fs(A.topLeftBorderStroke,A.topRightBorderStroke);case 1:return fs(A.topRightBorderStroke,A.bottomRightBorderStroke);case 2:return fs(A.bottomRightBorderStroke,A.bottomLeftBorderStroke);default:return fs(A.bottomLeftBorderStroke,A.topLeftBorderStroke)}}(l,U),e=ws(l,U),2===C&&(this.path(e),this.ctx.clip()),s=$n(e[0])?(t=e[0].start.x,e[0].start.y):(t=e[0].x,e[0].y),o=$n(e[1])?(r=e[1].end.x,e[1].end.y):(r=e[1].x,e[1].y),B=0===U||2===U?Math.abs(t-r):Math.abs(s-o),this.ctx.beginPath(),3===C?this.formatPath(Q):this.formatPath(e.slice(0,2)),n=w<3?3*w:2*w,s=w<3?2*w:w,3===C&&(s=n=w),o=!0,B<=2*n?o=!1:B<=2*n+s?(n*=i=B/(2*n+s),s*=i):(Q=Math.floor((B+s)/(n+s)),i=(B-Q*n)/(Q-1),s=(Q=(B-(Q+1)*n)/Q)<=0||Math.abs(s-i)<Math.abs(s-Q)?i:Q),o&&(3===C?this.ctx.setLineDash([0,n+s]):this.ctx.setLineDash([n,s])),3===C?(this.ctx.lineCap="round",this.ctx.lineWidth=w):this.ctx.lineWidth=2*w+1.1,this.ctx.strokeStyle=ie(g),this.ctx.stroke(),this.ctx.setLineDash([]),2===C&&($n(e[0])&&(c=e[3],a=e[0],this.ctx.beginPath(),this.formatPath([new Zn(c.end.x,c.end.y),new Zn(a.start.x,a.start.y)]),this.ctx.stroke()),$n(e[1])&&(c=e[1],a=e[2],this.ctx.beginPath(),this.formatPath([new Zn(c.end.x,c.end.y),new Zn(a.start.x,a.start.y)]),this.ctx.stroke())),this.ctx.restore(),[2]})})},Ds.prototype.render=function(B){return a(this,void 0,void 0,function(){return H(this,function(A){switch(A.label){case 0:return this.options.backgroundColor&&(this.ctx.fillStyle=ie(this.options.backgroundColor),this.ctx.fillRect(this.options.x,this.options.y,this.options.width,this.options.height)),t=new as(e=B,null),r=new cs(t),hs(t,r,r,e=[]),ds(t.container,e),[4,this.renderStack(r)];case 1:return A.sent(),this.applyEffects([]),[2,this.canvas]}var e,t,r})})},Ds);function Ds(A,e){A=Ls.call(this,A,e)||this;return A._activeEffects=[],A.canvas=e.canvas||document.createElement("canvas"),A.ctx=A.canvas.getContext("2d"),e.canvas||(A.canvas.width=Math.floor(e.width*e.scale),A.canvas.height=Math.floor(e.height*e.scale),A.canvas.style.width=e.width+"px",A.canvas.style.height=e.height+"px"),A.fontMetrics=new Ks(document),A.ctx.scale(A.options.scale,A.options.scale),A.ctx.translate(-e.x,-e.y),A.ctx.textBaseline="bottom",A._activeEffects=[],A.context.logger.debug("Canvas renderer initialized ("+e.width+"x"+e.height+") with scale "+e.scale),A}var vs,xs=function(A){return A instanceof LB||(A instanceof yB||A instanceof pB&&A.type!==dB&&A.type!==hB)},Ms=function(A,e){switch(A){case 0:return ts(e);case 2:return[e.topLeftContentBox,e.topRightContentBox,e.bottomRightContentBox,e.bottomLeftContentBox];default:return rs(e)}},Ss=function(A){switch(A){case 1:return"center";case 2:return"right";default:return"left"}},Ts=["-apple-system","system-ui"],Gs=function(A){return/iPhone OS 15_(0|1)/.test(window.navigator.userAgent)?A.filter(function(A){return-1===Ts.indexOf(A)}):A},Os=(A(Vs,vs=he),Vs.prototype.render=function(t){return a(this,void 0,void 0,function(){var e;return H(this,function(A){switch(A.label){case 0:return e=Nr(this.options.width*this.options.scale,this.options.height*this.options.scale,this.options.scale,this.options.scale,t),[4,ks(e)];case 1:return e=A.sent(),this.options.backgroundColor&&(this.ctx.fillStyle=ie(this.options.backgroundColor),this.ctx.fillRect(0,0,this.options.width*this.options.scale,this.options.height*this.options.scale)),this.ctx.drawImage(e,-this.options.x*this.options.scale,-this.options.y*this.options.scale),[2,this.canvas]}})})},Vs);function Vs(A,e){A=vs.call(this,A,e)||this;return A.canvas=e.canvas||document.createElement("canvas"),A.ctx=A.canvas.getContext("2d"),A.options=e,A.canvas.width=Math.floor(e.width*e.scale),A.canvas.height=Math.floor(e.height*e.scale),A.canvas.style.width=e.width+"px",A.canvas.style.height=e.height+"px",A.ctx.scale(A.options.scale,A.options.scale),A.ctx.translate(-e.x,-e.y),A.context.logger.debug("EXPERIMENTAL ForeignObject renderer initialized ("+e.width+"x"+e.height+" at "+e.x+","+e.y+") with scale "+e.scale),A}var ks=function(r){return new Promise(function(A,e){var t=new Image;t.onload=function(){A(t)},t.onerror=e,t.src="data:image/svg+xml;charset=utf-8,"+encodeURIComponent((new XMLSerializer).serializeToString(r))})},Rs=(Ns.prototype.debug=function(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];this.enabled&&("undefined"!=typeof window&&window.console&&"function"==typeof console.debug?console.debug.apply(console,t([this.id,this.getTime()+"ms"],A)):this.info.apply(this,A))},Ns.prototype.getTime=function(){return Date.now()-this.start},Ns.prototype.info=function(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];this.enabled&&"undefined"!=typeof window&&window.console&&"function"==typeof console.info&&console.info.apply(console,t([this.id,this.getTime()+"ms"],A))},Ns.prototype.warn=function(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];this.enabled&&("undefined"!=typeof window&&window.console&&"function"==typeof console.warn?console.warn.apply(console,t([this.id,this.getTime()+"ms"],A)):this.info.apply(this,A))},Ns.prototype.error=function(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];this.enabled&&("undefined"!=typeof window&&window.console&&"function"==typeof console.error?console.error.apply(console,t([this.id,this.getTime()+"ms"],A)):this.info.apply(this,A))},Ns.instances={},Ns);function Ns(A){var e=A.id,A=A.enabled;this.id=e,this.enabled=A,this.start=Date.now()}var Ps=(Xs.instanceCount=1,Xs);function Xs(A,e){this.windowBounds=e,this.instanceName="#"+Xs.instanceCount++,this.logger=new Rs({id:this.instanceName,enabled:A.logging}),this.cache=null!==(e=A.cache)&&void 0!==e?e:new On(this,A)}"undefined"!=typeof window&&Tn.setContext(window);var Js=function(u,F){return a(void 0,void 0,void 0,function(){var e,t,r,B,n,s,o,i,Q,c,a,g,w,U,l,C;return H(this,function(A){switch(A.label){case 0:if(!u||"object"!=typeof u)return[2,Promise.reject("Invalid element provided as first 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scrolled to "+-a.left+","+-a.top),U=new dn(g,u,w),(w=U.clonedReferenceElement)?[4,U.toIFrame(e,a)]:[2,Promise.reject("Unable to find element in cloned iframe")];case 1:return(r=A.sent(),l=jB(w)||"HTML"===w.tagName?function(A){var e=A.body,t=A.documentElement;if(!e||!t)throw new Error("Unable to get document size");A=Math.max(Math.max(e.scrollWidth,t.scrollWidth),Math.max(e.offsetWidth,t.offsetWidth),Math.max(e.clientWidth,t.clientWidth)),t=Math.max(Math.max(e.scrollHeight,t.scrollHeight),Math.max(e.offsetHeight,t.offsetHeight),Math.max(e.clientHeight,t.clientHeight));return new d(0,0,A,t)}(w.ownerDocument):f(g,w),B=l.width,n=l.height,s=l.left,o=l.top,i=Ys(g,w,F.backgroundColor),l={canvas:F.canvas,backgroundColor:i,scale:null!==(l=null!==(l=F.scale)&&void 0!==l?l:t.devicePixelRatio)&&void 0!==l?l:1,x:(null!==(l=F.x)&&void 0!==l?l:0)+s,y:(null!==(l=F.y)&&void 0!==l?l:0)+o,width:null!==(l=F.width)&&void 0!==l?l:Math.ceil(B),height:null!==(l=F.height)&&void 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\ No newline at end of file
diff --git a/assets/resize_colorbars.js b/assets/resize_colorbars.js
new file mode 100644
index 0000000000000000000000000000000000000000..229626fd61aadfb267371a529d49cbebfba5c71c
--- /dev/null
+++ b/assets/resize_colorbars.js
@@ -0,0 +1,19 @@
+// RESIZE COLORBAR
+
+function setWidthForColorbars() {
+    const colorbars = document.querySelectorAll('.leaflet-control-colorbar');
+    colorbars.forEach(colorbar => {
+	const info = document.querySelector('.info').offsetWidth;
+	colorbar.style.maxWidth = info.toString() + 'px';
+    });
+}
+
+$(document).ready(function () {
+    $(document).on('click', "#models-apply, .DayPicker, .SingleDatePickerInput_clearDate", function () {
+	setTimeout(setWidthForColorbars, 500);
+    })
+})
+
+$(document).ready(function () {
+    setTimeout(setWidthForColorbars, 1500);
+});
diff --git a/assets/router.js b/assets/router.js
new file mode 100644
index 0000000000000000000000000000000000000000..aa6a7631d69f58b50c9dd5fa05f24f7cebaa5e5e
--- /dev/null
+++ b/assets/router.js
@@ -0,0 +1,92 @@
+// ROUTING FUNCTIONS
+
+// Convert date from DD MON YYYY to YYYYMMDD
+function getDate() {
+	const dict = {
+		'Jan': '01',
+		'Feb': '02',
+		'Mar': '03', 
+		'Apr': '04', 
+		'May': '05', 
+		'Jun': '06',
+		'Jul': '07', 
+		'Aug': '08', 
+		'Sep': '09', 
+		'Oct': '10', 
+		'Nov': '11', 
+		'Dec': '12'
+	};
+ 	date = document.getElementById('date').value;
+	splitDate = date.split(' ');
+	month = dict[splitDate[1]];
+	return 'date=' + splitDate[2] + month + splitDate[0];
+}
+
+// Send the URL to the CMS
+function sendURL(url) {
+    window.history.pushState("URL from Dashboard", "", url);
+    parent.postMessage(url, '*');
+}
+
+// GET THE VALUE SELECTED IN DROPDOWN MENU
+function getDropdownValue(selector, key) {
+	curvar = document.querySelector(selector).innerHTML;
+	curvar = curvar.split(' ').join('_')
+	//CREATE KEY/VALUE OUTPUT FOR URL SEACH QUERY FORMAT (EX. FRUIT=APPLE)
+	return key + '=' + curvar.toLowerCase();	
+}
+
+// GET CHECK BOXES CHECKED
+function getCheckedBoxes(selector, key){
+    const data = [...document.querySelectorAll(selector)].map(e => e.value);
+    data.forEach(function(item, index){
+	//CREATE KEY/VALUE OUTPUT FOR URL SEACH QUERY FORMAT (EX. FRUIT=APPLE)
+	this[index] = key + '=' + item
+    }, data);		
+    return data.join('&');
+}
+
+// CREATE URL WHEN MODELS-APPLY IS CLICKED
+function handleModelsApply () {
+	curvar = getDropdownValue('.Select-value-label', 'var')
+	models = getCheckedBoxes('.form-check-input:checked', 'model')
+	outputDate = getDate();
+	url = "?" + curvar + '&' + models + '&' + outputDate;
+	sendURL(url);
+    };
+
+// CREATE URL WHEN MODELS-APPLY IS CLICKED
+function handleWASApply () {
+	const checked = document.getElementById('was-dropdown');
+	var text = checked.querySelector('input[type="radio"]:checked').parentElement.innerText;
+	text = text.split(' ').join('_').toLowerCase();
+	url = "?tab=forecast&section=was&country=" + text;
+	sendURL(url);
+    };	
+
+// CREATE A DICTIONARY OF IDs TO CREATE URL OUTPUTS
+const urlOuputDict = {
+    "#group-1-toggle": "?tab=forecast&section=models",
+    "#group-2-toggle": "?tab=forecast&section=prob",
+    "#group-3-toggle": "?tab=forecast&section=was",
+    "#forecast-tab": "?tab=forecast",
+    "#evaluation-tab": "?tab=evaluation",
+    "#observations-tab": "?tab=observations",
+    "#nrt-evaluation": "?tab=evaluation&section=visual_comparison",
+    "#scores-evaluation": "?tab=evaluation&section=statistics",
+    "#rgb": "?tab=observations&section=eumetsat-rgb",
+    "#visibility": "?tab=observations&section=visibility", 
+    "#models-apply": handleModelsApply,
+    "#was-apply": handleWASApply,
+};
+
+// LISTEN FOR CLICK ON ID(KEY) LISTED IN URLOUTPUTDICT AND OUTPUT (VALUE) TO BROWSER SEARCH BAR
+$(document).ready(function () {
+    // MATCH ID WITH THE TOOGLEMAP KEY AND OUTPUT URL VALUE
+    $(document).on('click', Object.keys(urlOuputDict).join(', '), function () {
+	var selector = "#" + $(this).attr('id');
+	var value = urlOuputDict[selector];
+	var url = typeof value === 'function' ? value() : value;
+	sendURL(url);
+    });
+});
diff --git a/assets/sidebar.css b/assets/sidebar.css
index 6b51a62363bf225fd8f7e3f7aca6b012bc23aef5..cb1319d2e78c4112f6e0d65cff764621b1053063 100644
--- a/assets/sidebar.css
+++ b/assets/sidebar.css
@@ -11,7 +11,7 @@
     left: 0;
     width: 200px;
     height: 100%;
-    font-family: "Roboto", sans-serif;
+    font-family: "Roboto", sans-serif !important;
     color: var(--blue) !important;
     background-color: #FAFAFA;
     overflow: hidden;
@@ -37,6 +37,7 @@
     padding-top: 0;
     border-radius: 0px;
     border: none;
+    box-shadow: none !important;
 }
 
 #app-sidebar>label {
@@ -113,20 +114,23 @@
 }
 
 /* Custom control: Classes recently added by Francesco */
-.custom-control {
+.form-check {
+    display: flex;
+    flex-direction: row-reverse;
+    justify-content: space-between;
     padding-left: 0;
-    padding-right: 0;
+    padding-right: 0.2rem;
 }
 
-.custom-control-label {
+.form-check-label {
     /* margin-left: 1rem; */
     margin-top: 0.1rem;
     display: block;
     font-size: small;
 }
 
-.custom-control-label::before,
-.custom-control-label::after {
+.form-check-label::before,
+.form-check-label::after {
     left: unset;
     right: 0.5rem;
     float: right;
@@ -157,11 +161,21 @@
 }
 
 .card-header>h2>button.btn-link {
-  white-space: normal;
-  float: left !important;
-  text-align: left !important;
-  display: block;
-  width: 100%;
+    white-space: normal;
+    float: left !important;
+    text-align: left !important;
+    display: block;
+    width: 100%;
+    text-decoration: none;
+}
+
+.card-header>h2>button.btn-link:hover {
+    text-decoration: underline;
+}
+
+.card {
+    border-top: none;
+    border-bottom: none;
 }
 
 /*.accordion>.card>.card-header:after {
@@ -337,7 +351,10 @@ span>#was-apply {
 }
 
 .card-body {
-	padding: 1rem;
+    padding: 1rem;
+    border-bottom: 1px solid rgba(0, 0, 0, 0.175) !important;
+    border-left: none;
+    border-right: none;
 }
 
 .caret-span {
@@ -362,6 +379,10 @@ span>#was-apply {
 	-webkit-transform: rotate(180deg);
 }
 
+#group-1-toggle span {
+    top: .15rem;
+}
+
 .Select-arrow-zone {
 	bottom: .3em;
 	right: .5em;
@@ -421,7 +442,7 @@ div.tab-parent {
   bottom: 0;
 }
 
-/* /* On screens that are less than 700px wide, make the sidebar into a topbar */ */
+/* On screens that are less than 700px wide, make the sidebar into a topbar */
 /* @media screen and (max-width: 700px) { */
 /*   .sidebar { */
 /*     width: 100%; */
@@ -432,10 +453,11 @@ div.tab-parent {
 /*   div.content {margin-left: 0;} */
 /* } */
 /**/
+
 /* On screens that are less than 400px, display the bar vertically, instead of horizontally */
 @media screen and (max-width: 400px) {
-  .sidebar a {
-    text-align: center;
-    float: none;
-  }
+    .sidebar a {
+        text-align: center;
+        float: none;
+    }
 }
diff --git a/assets/stats_carets.js b/assets/stats_carets.js
new file mode 100644
index 0000000000000000000000000000000000000000..f33277b47b2f9133946a263c9bbd06d1642f797c
--- /dev/null
+++ b/assets/stats_carets.js
@@ -0,0 +1,78 @@
+//================== Stats table carets ===============================================
+// The aeronet stats table changes the position/index of the regions when they
+// are clicked, so we cannot easily assign a class to the regions that will maintain on click,
+// so we must remove the carets on click, and then add them back after the table has finished
+
+// changing its state
+
+// ADD FUNCTION TO WAIT FOR TABLE TO FINISH CHANGING
+function waitForMutation(selector, func) {
+    return new Promise(resolve => {
+        if (document.querySelector(selector)) {
+            return resolve(document.querySelector(selector));
+        };
+        const observer = new MutationObserver(mutations => {
+            if (document.querySelector(selector)) {
+                resolve(document.querySelector(selector));
+		// console.log(mutations);
+		func(mutations);
+	    }
+        });
+        observer.observe(document.body, {
+            childList: true,
+            subtree: true,
+	    attributeOldValue: true, 
+	    characterDataOldValue: true
+        });
+    });
+}
+
+// FIND THE REGIONS TO REMOVE THE CARETS BEFORE FLIPPING THEM
+function targetRegions(mutations) {
+    // Carets will populate in the wrong rows after click, so we must remove them
+    for (const element of mutations) {
+	if (['Mediterranean','NAfrica', 'MiddleEast'].includes(element.oldValue)) {
+	    // Get elements parent node 2 above as it contains the target class
+	    const target = element.target.parentNode.parentNode;
+	    target.classList.remove('table_caret_up');
+	    target.classList.remove('table_caret_down');
+	};
+    }
+    // Now add the carets back in where appropriate
+    flipCarets();
+}
+
+// CREATE FUNCTION TO FIND REGIONS AND FLIP CARETS AS NEEDED
+function flipCarets() {
+    var areas = "td:contains('Europe'), td:contains('Mediterranean'),td:contains('NAfrica'),td:contains('MiddleEast')";
+    $(areas).addClass('table_caret_down');
+    // Each table has the four regions. Split the returned areas into tables, and then address caret flips
+    for(var i = 0; i < ($(areas).length/4); i++){
+	var medIndex = parseInt($("td:contains('Mediterranean')").eq(i).attr('data-dash-row'));
+	var nafricaIndex = parseInt($("td:contains('NAfrica')").eq(i).attr('data-dash-row'));
+	var middleEastIndex = parseInt($("td:contains('MiddleEast')").eq(i).attr('data-dash-row'));
+	var totalIndex = parseInt($("td:contains('Total')").eq(i).attr('data-dash-row'));
+	// Ror each table, check if the caret should be flipped
+	// if the next region is not at the next index, the dropdown is open 
+	// trigger the caret to be flipped
+	if (medIndex !== 1) {
+	    $("td:contains('Europe')").eq(i).addClass('table_caret_up');
+	};
+	if ((medIndex + 1) !== middleEastIndex) {
+	    $("td:contains('Mediterranean')").eq(i).addClass('table_caret_up');
+	};
+	if ((middleEastIndex + 1) !== nafricaIndex) {
+	    $("td:contains('MiddleEast')").eq(i).addClass('table_caret_up');
+	};
+	if ((nafricaIndex + 1) !== totalIndex) {
+	    $("td:contains('NAfrica')").eq(i).addClass('table_caret_up');
+	};
+    };
+};
+
+// ADD FUNCTION TO WAIT FOR CLICKS ON AREAS THAT SHOULD TRIGGER CARET FLIPS
+$(document).ready(function () {
+    $(document).on('click', "td:contains('Europe'), td:contains('Mediterranean'),td:contains('NAfrica'),td:contains('MiddleEast'), #scores-apply, #evaluation-tab", function () {
+	waitForMutation('td.dash-cell.column-0', targetRegions);
+    })
+})
diff --git a/assets/style.css b/assets/style.css
index d48b54d7a78c35e014d178f982874edfcbaf2b0b..b2396c1af4bc4718d5b98dbce3b0eb50d66b9541 100644
--- a/assets/style.css
+++ b/assets/style.css
@@ -6,6 +6,7 @@
 
 body {
     overflow-y: hidden;
+    font-family: "Roboto", sans-serif !important;
     background-color: #212529;
 }
 
@@ -154,7 +155,7 @@ a.modebar-btn {
     z-index: 1000 !important;
 }
 
-.disclaimer>span#forecast-disclaimer>p {
+.disclaimer>span#models-disclaimer>p {
     float: right;
     margin-right: 1rem;
 }
@@ -504,6 +505,10 @@ div.SingleDatePickerInput {
     padding: 0 !important;
 }
 
+.navbar-timebar:has(.show) {
+    height: auto;
+}
+
 .centered-image>.layout-dropdown>#rgb-navbar>.container-fluid>.collapse>.navbar-nav {
     justify-content: center;
 }
@@ -522,12 +527,14 @@ div.SingleDatePickerInput {
     padding: 0px !important;
 }
 
-.navbar-timebar>.show {
-    height: 18vh !important;
-}
-
 .navbar-toggler {
     height: 5vh;
+    border-radius: 0px !important;
+    border-bottom: none !important;
+}
+
+.navbar-toggler:focus {
+    box-shadow: none !important;
 }
 
 .disclaimer {
@@ -605,7 +612,7 @@ div.SingleDatePickerInput {
     height: 100%;
 }
 
-.btn-secondary {
+.btn-primary {
     box-shadow: none !important;
     border: 0 !important;
 }
@@ -1024,3 +1031,7 @@ td.column-0 {
     transform: rotate(20deg) translate(-50%, 5px) !important;
     padding-top: 2px;
 }
+
+#scores-map-modalbody {
+    height: 70vh !important;
+}
\ No newline at end of file
diff --git a/assets/url.js b/assets/url.js
deleted file mode 100644
index 56d8694c8f0a8e7757a8415782a69d4c06deb381..0000000000000000000000000000000000000000
--- a/assets/url.js
+++ /dev/null
@@ -1,176 +0,0 @@
-// ==================== ROUTING FUNCTIONS =============================
-//convert date from DD MON YYYY to YYYYMMDD
-function getDate() {
-	const dict = {
-		'Jan': '01',
-		'Feb': '02',
-		'Mar': '03', 
-		'Apr': '04', 
-		'May': '05', 
-		'Jun': '06',
-		'Jul': '07', 
-		'Aug': '08', 
-		'Sep': '09', 
-		'Oct': '10', 
-		'Nov': '11', 
-		'Dec': '12'
-	};
- 	date = document.getElementById('date').value;
-	splitDate = date.split(' ');
-	month = dict[splitDate[1]];
-	return '&date=' + splitDate[2] + month + splitDate[0];
-}
-
-// LISTEN FOR MESSAGES FROM CMS
-window.addEventListener("message", (event) => {
-    // CREATE LIST OF ADDRESSES
-    const hosts = [
-	'http://bscesdust02.bsc.es',
-	'http://bscesdust02.bsc.es/products/daily-dust-products',
-	'https://dust.aemet.es',
-	'https://dust02.bsc.es',
-	'https://dust02.bsc.es/products/daily-dust-products',
-	'https://dust03.bsc.es'
-    ];
-    if (hosts.includes(event.origin)){
-	console.log('DASH: Success!! ' + event.data);
-	window.history.pushState("Models", "Models", event.data);
-	return;
-    }else{
-	console.log('DASH: that is not the right address' + event.origin);
-	return;
-    }
-}, false);
-
-// NOW ASSESS HOW THE URL SHOULD BE OUTPUT
-function sendURL(url) {
-    window.history.pushState("Models", "Models", url);
-    parent.postMessage(url, '*');
-}
-
-//GET THE VARIABLE VALUE
-function getVar() {
-	curvar = document.querySelector('.Select-value-label').innerHTML;
-	curvar = curvar.split(' ').join('_')
-	return 'var=' + curvar.toLowerCase() + '&';	
-}
-
-// GET MODELS CHECKED
-function getModels(){
-		const data = [...document.querySelectorAll('.custom-control-input:checked')].map(e => e.value);
-		data.forEach(function(item, index){
-			this[index] = 'model=' + item
-		}, data);		
-		return data.join('&');
-}
-
-// CREATE OUTPUT URL FOR MODELS-APPLY
-$(document).ready(function () {
-    $(document).on('click', "#models-apply", function () {
-		curvar = getVar()
-		models = getModels()
-		outputDate = getDate();
-		url = "?" + curvar + models + outputDate;
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR TABS 
-$(document).ready(function () {
-    $(document).on('click', "#forecast-tab", function () {
-		url = "?tab=forecast";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR TABS 
-$(document).ready(function () {
-    $(document).on('click', "#evaluation-tab", function () {
-		url = "?tab=evaluation";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR TABS 
-$(document).ready(function () {
-    $(document).on('click', "#observations-tab", function () {
-		url = "?tab=observations";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR GROUP-1-TOGGLE(MODELS)
-$(document).ready(function () {
-    $(document).on('click', "#group-1-toggle", function () {
-		url = "?tab=forecast&section=models";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR GROUP-2-TOGGLE(PROBABILITY)
-$(document).ready(function () {
-    $(document).on('click', "#group-2-toggle", function () {
-		url = "?tab=forecast&section=prob";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR GROUP-3-TOGGLE(WAS)
-$(document).ready(function () {
-    $(document).on('click', "#group-3-toggle", function () {
-		url = "?tab=forecast&section=was";
-		sendURL(url);
-	})	
-});
-
-// CREATE WAS OUTPUT
-$(document).ready(function () {
-    $(document).on('click', "#was-apply", function () {
-		const checked = document.getElementById('was-dropdown');
-		var text = checked.querySelector('input[type="radio"]:checked').parentElement.innerText;
-	    text = text.split(' ').join('_').toLowerCase();
-		url = "?tab=forecast&section=was&country=" + text;
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR NRT-EVALUATION(VISUAL_COMPARISION)
-$(document).ready(function () {
-    $(document).on('click', "#nrt-evaluation", function () {
-		url = "?tab=evaluation&section=visual_comparison";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR SCORES-EVALUATION(STATISTICS)
-$(document).ready(function () {
-    $(document).on('click', "#scores-evaluation", function () {
-		url = "?tab=evaluation&section=statistics";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR SCORES-APPLY(STATISTICS)
-$(document).ready(function () {
-    $(document).on('click', "#scores-apply", function () {
-		url = "?tab=evaluation&section=statistics";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR RGB(EUMETSAT RGB)
-$(document).ready(function () {
-    $(document).on('click', "#rgb", function () {
-		url = "?tab=observations&section=eumetsat-rgb";
-		sendURL(url);
-	})	
-});
-
-// CREATE OUTPUT URL FOR VISIBILITY
-$(document).ready(function () {
-    $(document).on('click', "#visibility", function () {
-		url = "?tab=observations&section=visibility";
-		sendURL(url);
-	})	
-});
-
diff --git a/bin/gen_country_loop.sh b/bin/gen_country_loop.sh
index a711c627958807e4bd558e64c006175970492acd..cdc28bf186fd0f4bd93e8c5e95b7c291e822047d 100755
--- a/bin/gen_country_loop.sh
+++ b/bin/gen_country_loop.sh
@@ -2,7 +2,7 @@
 
 ##########################################
 # country should be written lowercase, or how appears in coords.conf
-# date currently does not function and will return always today's date (or most recent available)
+# date is only for labelling and will return always gifs for today's date (or most recent available)
 # only monarch accepts all variables, the rest get od550_dust and sconc_dust
 # anim should only be called with true here, as the pngs are automatically deleted
 # ./bin/gen_country_loop.sh monarch true sconc_dust 20220808 spain
@@ -43,10 +43,12 @@ fi
 
 curyear=`date '+%Y' -d ${curdate}`
 curmon=`date '+%m' -d ${curdate}`
-repodir='/data/daily_dashboard/comparison/'
+# CHANGE REPORDIR WHEN TESTING
+repodir='/data/daily_dashboard/comparison'
 
 runProcess () {
-    tmpdir=${HOME}/tmp/${var}/${country}
+    # CHANGE THIS TMPDIR WHEN TESTING
+    tmpdir=${HOME}/tmp/${variable}
     mkdir -p $tmpdir
     rm -rf $tmpdir/*
     # SET REPO AND FILENAME FOR NON-COUNTRY SELECTIONS 
@@ -54,7 +56,8 @@ runProcess () {
     filename=${curdate}_${model}
     # SET FOLDER STRUCTURE AND FILENAME FOR SPECIFIC COUNTRIES
     if [ "$country" != "default" ] && [ "$country" != "monarch_fit" ]; then 
-	tmpdir=${HOME}/tmp/${var}/${country}
+	# CHANGE THIS TMPDIR WHEN TESTING
+	tmpdir=${HOME}/tmp/${variable}/${country}
 	mkdir -p $tmpdir
 	rm -rf $tmpdir/*
 	currepo=${repodir}/${model}/${variable}/${curyear}/${curmon}/${country}
@@ -74,28 +77,40 @@ for var in od550_dust sconc_dust dust_depd dust_depw dust_load dust_ext_sfc
 do
 	variable=$var
 	echo "************ $model $anim $curvar $variable $curdate $country****************"
-	if [ "$curvar" != "$variable" ] && [ "$curvar" != "all" ]; then
-		continue
-	fi
-	# IF VARIABLE ISN'T AOD OR CONCENTRATION, FORCE MONARCH
-	if [ "$variable" != "od550_dust" ] && [ "$variable" != "sconc_dust" ]; then
-	    model="monarch"
-	    runProcess 
 	# IF MODEL INPUT IS ALL, RUN THROUGH ALL MODELS
-	elif [ "$model" == "all" ]; then
+	if [ "$model" == "all" ]; then
 	    selectedCountry=$country
 	    for model in `cat ./conf/models.json | grep '": {' | sed 's/^.*"\(.*\)".*$/\1/g'`
 		do
+		    # SET MONARCH FIT VIEW FOR MONARCH
 		    if [ "$model" == "monarch" ] && [ "$country" == "default" ]; then
 			country="monarch_fit"
 		    else
 			country=$selectedCountry
 		    fi
-		    runProcess
+		    # ONLY MONARCH SHOULD RUN EXTRA VARIABLES
+		    if [ "$variable" != "od550_dust" ] && [ "$variable" != "sconc_dust" ] && [ "$model" != "monarch" ]; then
+			echo "****** Skipping $model run for remaining variables ******"
+			continue
+		    else
+			runProcess
+		    fi
 		done
-	# PRODUCE GIF FOR DECLARED MODEL AND VARIABLE
-	else
+		#NOW RESET MODEL TO ALL TO CONTINUE TO NEXT VARIABLE
+		model="all"
+	# PRODUCE GIF FOR DECLARED MODEL AND VARIABLE WHERE SINGLE VARIABLE IS SELECTED
+	elif [ "$curvar" != "all" ]; then
+	    variable=$curvar
 	    runProcess
+	    break
+	# RUN FOR SPECIFIED MODEL WITH ALL APPLICABLE VARIABLES
+	else
+	    # ONLY MONARCH SHOULD RUN EXTRA VARIABLES
+	    if [ "$variable" == "dust_depd" ] && [ "$model" != "monarch" ]; then
+		break
+	    else
+		runProcess
+	    fi
 	fi
 	wait
 	sleep 1
diff --git a/callback_tools.py b/callback_tools.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a85c8dfad8bfddf7b99194876b7d7795ca4700f
--- /dev/null
+++ b/callback_tools.py
@@ -0,0 +1,524 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+""" Tools module with functions related to plots """
+
+from datetime import datetime
+from datetime import timedelta
+import os
+import logging
+
+from map_handler import MapHandler
+from map_handler import ForecastModelsFigureHandler
+from map_handler import ForecastProbFigureHandler
+from map_handler import ForecastWasFigureHandler
+from map_handler import EvaluationGroundFigureHandler
+from map_handler import EvaluationSatelliteFigureHandler
+from map_handler import EvaluationStatisticsFigureHandler
+from map_handler import VisFigureHandler
+from map_handler import DEBUG
+from map_handler import MODELS
+from map_handler import PATHS
+from map_handler import END_DATE, DELAY, DELAY_DATE
+from timeseries_handler import ForecastModelsTimeSeriesHandler
+from timeseries_handler import EvaluationGroundTimeSeriesHandler
+
+def download_image_link(models, variable, curdate, tstep=0, anim=False):
+    """ Generates links to animated gifs
+
+    Parameters
+    ----------
+    models : str, list
+        Model name or list of model names
+    variable : str
+        Variable name
+    curdate : str
+        Current date
+    tstep : int, optional
+        Timestep, by default 0
+    anim : bool, optional
+        Indicates if we want to create an animation or an image, by default False
+
+    Returns
+    -------
+    str
+        Filename of the image / animation
+    """
+
+    logging.debug('CURRDIR %s', os.getcwd())
+    filepath = "assets/comparison/{model}/{variable}/{year}/{month}/{curdate}_{model}_{tstep}.{ext}"
+
+    if len(models) == 1:
+        model = models[0]
+        logging.debug('DOWNLOAD MODELS %s', model)
+    else:
+        logging.debug('DOWNLOAD ALL MODELS')
+        model = "all"
+    if anim:
+        tstep = "loop"
+        ext = "gif"
+        logging.debug('DOWNLOAD LOOP')
+    else:
+        tstep = "%02d" % tstep
+        ext = "png"
+        logging.debug('DOWNLOAD PNG %s', tstep)
+
+    filename = filepath.format(
+                model=model,
+                variable=variable.lower(),
+                year=curdate[:4],
+                month=curdate[4:6],
+                curdate=curdate,
+                tstep=tstep,
+                ext=ext
+            )
+    logging.debug('DOWNLOAD FILENAME %s', filename)
+    
+    return filename 
+
+
+def get_eval_timeseries(obs, start_date, end_date, var, idx, station_name, model):
+    """ Retrieve timeseries in the evaluation visual comparison map
+
+    Parameters
+    ----------
+    obs : str
+        Observations name
+    start_date : str
+        Start date
+    end_date : str
+        End date
+    var : str
+        Variable name
+    idx : int
+        Station index
+    station_name : str
+        Station name
+    model : str, optional
+        Model name, by default None
+
+    Returns
+    -------
+    go.Figure
+        Modal window with timeseries
+    """
+
+    logging.debug('SERVER: OBS TS init for obs %s ... ', str(obs))
+    th = EvaluationGroundTimeSeriesHandler(obs, start_date, end_date, var)
+    logging.debug('SERVER: OBS TS generation ... ')
+
+    return th.retrieve_timeseries(idx, station_name, model)
+
+
+def get_timeseries(model, date, var, lat, lon, forecast=False):
+    """ Retrieve timeseries in the forecast models maps
+
+    Parameters
+    ----------
+    model : str
+        Model name
+    date : str
+        Selected date
+    var : str
+        Variable name
+    lat : float
+        Latitude
+    lon : float
+        Longitude
+    forecast : bool, optional
+        Indicates if we are using forecast data, by default False
+
+    Returns
+    -------
+    go.Figure
+        Modal window with timeseries
+    """
+
+    logging.debug('SERVER: TS init for models %s ... ', str(model))
+    th = ForecastModelsTimeSeriesHandler(model, date, var)
+    logging.debug('SERVER: TS generation ... ')
+
+    return th.retrieve_timeseries(lat, lon, method='feather', forecast=forecast)
+
+
+def get_single_point(model, date, tstep, var, lat, lon):
+    """ Retrive data on single point
+
+    Parameters
+    ----------
+    model : str
+        Model name
+    date : str
+        Selected date
+    tstep : int
+        Timestep
+    var : str
+        Variable name
+    lat : float
+        Latitude
+    lon : float
+        Longitude
+
+    Returns
+    -------
+    float
+        Variable value at closest available point from (lat, lon)
+    """
+
+    logging.debug('SERVER: SINGLE POINT init for models %s ... ',str(model))
+    th = ForecastModelsTimeSeriesHandler(model, date, var)
+    logging.debug('SERVER: SINGLE POINT generation ... ')
+
+    return th.retrieve_single_point(tstep, lat, lon)
+
+
+def get_evaluation_comparison_aeronet_figure(start_date, end_date, obs, var):
+    """ Retrieve evaluation visual comparison data and figure layers (ground observations from AERONET)
+
+    Parameters
+    ----------
+    start_date : str
+        Start date
+    end_date : str
+        End date
+    obs : str
+        Observations name
+    var : str
+        Variable name
+
+    Returns
+    -------
+    pandas.core.frame.DataFrame
+        Dataframe with stations information
+    list
+        Figure layers
+    """
+
+    fh = EvaluationGroundFigureHandler(start_date, end_date, obs, var)
+    
+    return fh.get_figure_layers()
+
+
+def get_evaluation_comparison_modis_figure(var, obs, tstep=0, selected_date=END_DATE):
+    """ Retrieve evaluation visual comparison figure layers (satellite observations from MODIS)
+
+    Parameters
+    ----------
+    var : str
+        Variable name
+    obs : str
+        Observations name
+    tstep : int, optional
+        Timestep, by default 0
+    selected_date : _type_, optional
+        Selected date, by default END_DATE
+
+    Returns
+    -------
+    list
+        Figure layers
+    """
+
+    fh = EvaluationSatelliteFigureHandler(var, obs, tstep, selected_date)
+    
+    return fh.get_figure_layers()
+
+
+def get_evaluation_statistics_figure(network=None, model=None, statistic=None, selection=None):
+    """ Retrieve evaluation statistics figure layers
+
+    Parameters
+    ----------
+    network : str, optional
+        Network name, by default None
+    model : str, optional
+        Model name, by default None
+    statistic : str, optional
+        Statistic name, by default None
+    model : str, optional
+        Model name, by default None
+    selection : str, optional
+        Period selection, by default None
+
+    Returns
+    -------
+    list
+        Figure layers
+    """
+    
+    logging.debug('SERVER: SCORES Figure init ... ')
+    fh = EvaluationStatisticsFigureHandler(network, statistic, model, selection=selection)
+    
+    if network and model and statistic:
+        logging.debug('SERVER: SCORES Figure generation ... ')
+    else:
+        logging.debug('SERVER: NO SCORES Figure')
+    
+    return fh.get_figure_layers()
+
+
+def get_currdate_tstep(model_start, model_start_before, current_time_before, delay, selected_date, 
+                       tstep=4):
+    """ Returns current date and timestep 
+
+    Parameters
+    ----------
+    model_start : int
+        Model start hour
+    model_start_before : int
+        Model start hour before run
+    current_time_before : _type_
+        Current time before run
+    delay : bool
+        Indicates if there is a delay
+    selected_date : str
+        Selected date
+    tstep : int, optional
+        Timestep, by default 4
+
+    Returns
+    -------
+    datetime.datetime
+        Selected date
+    int
+        Timestep
+    str
+        Timesteps
+    """
+
+    # MODELS starting at 00 with 3 days of forecast
+    logging.debug("Starting at 0 and NOT DELAYED: 3 days forecast!")
+    cdo_tsteps = "1/25"
+    delayed = (current_time_before and not delay) or (not current_time_before and delay)
+
+    # MODELS not starting at 00
+    if (model_start == 12 and not model_start_before) or \
+            (current_time_before and model_start_before == 12):
+        if delayed:
+            logging.debug("Starting at 12 and DELAYED: 2 days forecast!")
+            # DELAYED (2 days): models that starts at 12h considering end_date = current_date - 1
+            if tstep < 4:
+                selected_date = (datetime.strptime(selected_date, "%Y%m%d") -
+                                 timedelta(days=1)).strftime("%Y%m%d")
+                tstep = int(tstep) + 4
+            else:
+                tstep = int(tstep) - 4
+            cdo_tsteps = "1/21"
+        else:
+            logging.debug("Starting at 12 and NOT DELAYED: 3 days forecast!")
+            # NOT DELAYED (3 days): models that starts at 12h considering end_date = current_date
+            selected_date = (datetime.strptime(selected_date, "%Y%m%d") -
+                             timedelta(days=1)).strftime("%Y%m%d")
+            tstep = int(tstep) + 4
+            cdo_tsteps = "5/29"
+    # MODELS starting at 00 with 2 days of forecast
+    elif delayed:
+        logging.debug("Starting at 0 and DELAYED: 2 days forecast!")
+        cdo_tsteps = "5/25"
+
+    return selected_date, tstep, cdo_tsteps
+
+
+def get_model_figure(var, model, tstep=0, hour=None, selected_date=END_DATE, aspect=(1, 1)):
+    """ Retrieve forecast models figure layers
+
+    Parameters
+    ----------
+    var : str
+        Variable name
+    model : str
+        Model name
+    tstep : int, optional
+        Timestep, by default 0
+    hour : int, optional
+        Hour, by default None
+    selected_date : str, optional
+        Selected date, by default END_DATE
+    aspect : tuple, optional
+        Map aspect, by default (1,1)
+
+    Returns
+    -------
+    list
+        Figure layers
+    """
+
+    logging.debug("*** %s %s %s %s %s *****", model, var, selected_date, tstep, hour)
+
+    try:
+        selected_date = datetime.strptime(
+            selected_date, "%Y-%m-%d").strftime("%Y%m%d")
+    except:
+        pass
+
+    if model in MODELS:
+        model_start = MODELS[model]['start']
+        model_start_before = ('start_before' in MODELS[model]) and MODELS[model]['start_before'] or False
+        current_time_before = (DELAY_DATE and datetime.strptime(selected_date, "%Y%m%d") < datetime.strptime(DELAY_DATE, "%Y%m%d"))
+        logging.debug(f"""
+              ***************************** SERVER: Figure init *******************************
+              * DELAY: {DELAY}, DELAY_DATE: {DELAY_DATE}, SELECTED DATE: {selected_date}, CURR_BEFORE: {current_time_before}    *
+              * MODEL: {model}, MODEL_START: {model_start}, MODEL_START_DELAYED: {model_start_before} *
+              *********************************************************************************
+              """)
+        # If current date is later than the delay date and the model_start is 12
+        # or current date is before than the delay date and the model_start
+        selected_date, tstep, _ = get_currdate_tstep(model_start, model_start_before, current_time_before, DELAY, selected_date, tstep)
+
+    logging.debug(' %s %s %s %s %s', var, model, tstep, hour, selected_date)
+    if var:
+        logging.debug('SERVER: MODELS Figure init ... ')
+        fh = ForecastModelsFigureHandler(var=var, model=model, tstep=tstep, hour=hour, selected_date=selected_date)
+        logging.debug('SERVER: MODELS Figure generation ... ')
+        return fh.get_figure_layers(tstep=tstep, hour=hour, aspect=aspect)
+
+    logging.debug('SERVER: NO MODELS Figure')
+
+    return ForecastModelsFigureHandler().get_figure_layers()
+
+
+def get_prob_figure(var, prob=None, day=0, selected_date=END_DATE):
+    """ Retrieve probability figure layers
+
+    Parameters
+    ----------
+    var : str, optional
+        Variable name, by default None
+    prob : float, optional
+        Probability threshold, by default None
+    day : int, optional
+        Day, by default 0
+    selected_date : str, optional
+        Selected date, by default END_DATE
+
+    Returns
+    -------
+    list
+        Figure layers
+    """
+
+    logging.debug(' %s %s %s',prob, day, selected_date)
+    try:
+        selected_date = datetime.strptime(
+            selected_date, "%Y-%m-%d").strftime("%Y%m%d")
+    except:
+        pass
+    logging.debug(' %s %s %s', prob, day, selected_date)
+
+    if prob:
+        logging.debug('SERVER: PROB Figure init ... ')
+        fh = ForecastProbFigureHandler(var=var, prob=prob, selected_date=selected_date)
+        logging.debug('SERVER: PROB Figure generation ... ')
+        return fh.get_figure_layers(day=day)
+
+    logging.debug('SERVER: NO PROB Figure')
+
+    return ForecastProbFigureHandler().get_figure_layers()
+
+
+def get_was_figure(was=None, day=0, selected_date=END_DATE):
+    """ Retrieve WAS figure layers
+
+    Parameters
+    ----------
+    was : str, optional
+        Region name, by default None
+    day : int, optional
+        Day, by default 0
+    selected_date : str, optional
+        Selected date, by default END_DATE
+
+    Returns
+    -------
+    list
+        Figure layers
+    """
+
+    logging.debug(' %s %s %s', was, day, selected_date)
+    try:
+        selected_date = datetime.strptime(
+            selected_date, "%Y-%m-%d").strftime("%Y%m%d")
+    except:
+        pass
+    logging.debug(' %s %s %s', was, day, selected_date)
+
+    if was:
+        logging.debug('SERVER: WAS Figure init ... ')
+        fh = ForecastWasFigureHandler(was=was, selected_date=selected_date)
+        logging.debug('SERVER: WAS Figure generation ... ')
+        return fh.get_figure_layers(day=day)
+    logging.debug('SERVER: NO WAS Figure')
+
+    return ForecastWasFigureHandler().get_figure_layers()
+
+
+def get_vis_figure(tstep=0, selected_date=END_DATE):
+    """ Retrieve visibility figure layers
+
+    Parameters
+    ----------
+    tstep : int, optional
+        Timestep, by default 0
+    selected_date : str, optional
+        Selected date, by default END_DATE
+
+    Returns
+    -------
+    list
+        Figure layers
+    """
+
+    logging.debug(' %s %s', tstep, selected_date)
+    try:
+        selected_date = datetime.strptime(
+            selected_date, "%Y-%m-%d").strftime("%Y%m%d")
+    except:
+        pass
+
+    logging.debug(' %s %s', tstep, selected_date)
+
+    if tstep is not None:
+        logging.debug('SERVER: VIS Figure init ... ')
+        fh = VisFigureHandler(selected_date=selected_date)
+        logging.debug('SERVER: VIS Figure generation ... ')
+        return fh.get_figure_layers(tstep=tstep)
+    logging.debug('SERVER: NO VIS Figure')
+
+    return VisFigureHandler().get_figure_layers()
+
+
+def get_figure(selected_date=END_DATE, tstep=0, aspect=(1, 1), center=None, 
+               selected_tiles='carto-positron', zoom=None, layers=None, index=None, tag='empty'):
+    """ Generate map with figure layers
+
+    Parameters
+    ----------
+    selected_date : str, optional
+        Selected date, by default END_DATE
+    tstep : int, optional
+        Timestep, by default 0
+    aspect : tuple, optional
+        Map aspect, by default (1, 1)
+    center : list, optional
+        Map center, by default None
+    selected_tiles : str, optional
+        Map tiles, by default 'carto-positron'
+    zoom : float, optional
+        Map zoom, by default None
+    layers : list, optional
+        Figure layers, by default None
+    index : str, optional
+        Map index, by default None
+    tag : str, optional
+        Map tag, by default 'empty'
+
+    Returns
+    -------
+    fig : dash_leaflet.Map
+        Figure
+    """
+
+    logging.debug('***** SERVER: Figure generation: CURR_DATE %s TSTEP %s *****', selected_date, tstep)
+    
+    fh = MapHandler()
+    return fh.retrieve_fig(aspect=aspect, center=center, selected_tiles= selected_tiles, 
+                           zoom=zoom, tag=tag, index=index, layers=layers)
diff --git a/conf/cache.json b/conf/cache.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f239237b02b20c66d8852ee605087e96edd6e08
--- /dev/null
+++ b/conf/cache.json
@@ -0,0 +1,5 @@
+{
+    "config": {"DEBUG": true,
+               "CACHE_TYPE": "FileSystemCache"},
+    "timeout": 86400
+}
\ No newline at end of file
diff --git a/conf/colorbars.json b/conf/colorbars.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6ca2daec0abe78e62514fa3962f85f271c74133
--- /dev/null
+++ b/conf/colorbars.json
@@ -0,0 +1,21 @@
+{
+    "model": {"position": "topleft",
+              "width": 270,
+              "height": 15,
+              "style": {"top": "55px"}
+             },
+    "prob": {"position": "topleft",
+             "width": 330,
+             "height": 8,
+             "style": {"top": "65px", 
+                       "overflow": "hidden", 
+                       "white-space": "nowrap"}
+             },
+    "scores": {"position": "topleft",
+               "width": 330,
+               "height": 8,
+               "style": {"top": "65px", 
+                         "overflow": "hidden", 
+                         "white-space": "nowrap"}
+              }
+}
\ No newline at end of file
diff --git a/conf/coords.json b/conf/coords.json
index 36ab8f322ea447d587fa59cbf371fbffb1223b1e..73e0c6ebcf54f2ef386ec4272bce1d6a09b0bf82 100644
--- a/conf/coords.json
+++ b/conf/coords.json
@@ -35,8 +35,8 @@
 		"lon": "16.5",
 		"width": "1180",
 		"height": "720",
-		"paddingRight": "35px", 
-		"marginTop": "20px",
+		"paddingRight": "55px", 
+		"marginTop": "5px",
 		"logos": true
 	}
 }
diff --git a/conf/create_loop_dev.json b/conf/create_loop_dev.json
new file mode 100644
index 0000000000000000000000000000000000000000..1efe1e344f53793a2e55b988a8aeaee63aabdfb6
--- /dev/null
+++ b/conf/create_loop_dev.json
@@ -0,0 +1,4 @@
+{
+        "url": "http://127.0.0.1:9000/dashboard/",
+        "targetFolder": "./js/tmp"
+}
diff --git a/conf/create_loop_prod.json b/conf/create_loop_prod.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec89cfa821e903e26934aed63c1275cc628cca4c
--- /dev/null
+++ b/conf/create_loop_prod.json
@@ -0,0 +1,4 @@
+{
+        "url": "http://127.0.0.1:9000/dashboard/",
+        "targetFolder": "./tmp"
+}
diff --git a/conf/create_loop_selectors.json b/conf/create_loop_selectors.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f95b93e0cd79b53ae563da4034b718c1e5059e2
--- /dev/null
+++ b/conf/create_loop_selectors.json
@@ -0,0 +1,20 @@
+{
+	"graphs":"#graph-collection",
+	"varDropdown": "#variable-dropdown-forecast",
+	"selectMenu": ".Select-menu-outer",
+	"selectedVar": ".VirtualizedSelectOption",
+	"selectedModels": ".custom-control-input",
+	"modelsApply": "#models-apply",
+	"zoomLevel": "#country-zoom",
+	"lat": "#country-lat",
+	"lon": "#country-lon",
+	"focus": "#country-focus",
+	"sliderDot":"span.rc-slider-dot",
+	"alertForecast": "#alert-forecast",
+	"leafletContainer": ".leaflet-container",
+	"navTimebar": ".navbar-timebar",
+	"logos": "#logos",
+	"leafletBar": ".leaflet-bar",
+	"disclaimer": ".disclaimer"
+}
+
diff --git a/conf/create_loop_setup.json b/conf/create_loop_setup.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e799b997e1750a3aa98a9f418eac57ee7331f15
--- /dev/null
+++ b/conf/create_loop_setup.json
@@ -0,0 +1,10 @@
+{
+	"specialFit": "monarch_fit",
+	"defaultFit": "default",
+	"tstepCount": 25,
+	"graphHeight": "93vh",
+	"disclaimerRight": "1px",
+	"makeInvisible": "none",
+	"makeVisible": "block",
+	"logoDisplay": "inline"
+}
diff --git a/conf/dash_style.json b/conf/dash_style.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3bf7024ecfe6e6b88791323514c1ed52a667f78
--- /dev/null
+++ b/conf/dash_style.json
@@ -0,0 +1,4 @@
+{
+    "graph_height": 90,
+    "opacity": 0.7
+}
\ No newline at end of file
diff --git a/conf/disclaimers.json b/conf/disclaimers.json
new file mode 100644
index 0000000000000000000000000000000000000000..11fbcf8f571adf0c16686281fe3305cded34a9dc
--- /dev/null
+++ b/conf/disclaimers.json
@@ -0,0 +1,4 @@
+{
+    "models": "Dust data ©2023 WMO Barcelona Dust Regional Center.",
+    "observations": "Aerosol data ©2023 WMO Barcelona Dust Regional Center, NASA."
+}
\ No newline at end of file
diff --git a/conf/info_style.json b/conf/info_style.json
new file mode 100644
index 0000000000000000000000000000000000000000..31b568b12a51330f878b148e6eddc6d2dd78d038
--- /dev/null
+++ b/conf/info_style.json
@@ -0,0 +1,9 @@
+{
+    "position": "absolute",
+    "top": "10px",
+    "left": "10px",
+    "zIndex": "1000",
+    "fontFamily": "'Roboto', sans-serif",
+    "fontSize": "14px",
+    "fontWeight": "bold"
+}
\ No newline at end of file
diff --git a/conf/init.json b/conf/init.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec57457df3ca86bdfaee220f7174104417691bd4
--- /dev/null
+++ b/conf/init.json
@@ -0,0 +1,7 @@
+{
+    "frequency": 3,
+    "forecast_max": 72,
+    "forecast_final_day": 3,
+    "default_variable": "OD550_DUST",
+    "default_model": "median"
+}
\ No newline at end of file
diff --git a/conf/modebars.json b/conf/modebars.json
index c6b7048a5a775e14e5bc037395c5fc9771a32a01..22a06e662723423ee70e84cff975bfa61a195e86 100644
--- a/conf/modebars.json
+++ b/conf/modebars.json
@@ -35,14 +35,5 @@
             "bgcolor": "rgba(0,0,0,0)",
             "activecolor": "#A2B0B6"
         }
-    },
-    "info_style": {
-        "position": "absolute",
-        "top": "10px",
-        "left": "10px",
-        "zIndex": "1000",
-        "fontFamily": "'Roboto', sans-serif",
-        "fontSize": "14px",
-        "fontWeight": "bold"
     }
 }
diff --git a/conf/obs.json b/conf/obs.json
index c96ef81289eee90079bc0afc3884b413777c674d..4e6a3fc246396673671a00b8389b83dd42ab22f7 100644
--- a/conf/obs.json
+++ b/conf/obs.json
@@ -1,22 +1,28 @@
 {
-    "aeronet": {
-	"obs_var": "od550aero",
-	"flt_var": "ae440-870aero",
-	"flt_expr": "<0.6",
-	"mod_var": "OD550_DUST",
-	"template" : "{}_{}",
-	"sites": "aeronet_sites.txt",
-	"path" : "/data/daily_dashboard/obs/aeronet/",
-	"name": "Aeronet v3 lev1.5",
-	"start_date": "20120101"
-    },
-    "modis": {
-	"obs_var": "od550aero",
-	"mod_var": "OD550_DUST",
-	"template" : "{}_{}",
-	"path" : "/data/daily_dashboard/obs/modis/",
-	"name": "MODIS",
-	"title": "Optical Depth (550nm)<br>Valid: %(shour)sh %(sday)s %(smonth)s %(syear)s",
-	"start_date": "20180101"
-    }
+    "aeronet": {"obs_var": "od550aero",
+				"flt_var": "ae440-870aero",
+				"flt_expr": "<0.6",
+				"mod_var": "OD550_DUST",
+				"template" : "{}_{}",
+				"sites": "aeronet_sites.txt",
+				"path" : "/data/daily_dashboard/obs/aeronet/",
+				"name": "Aeronet v3 lev1.5",
+				"start_date": "20120101",
+				"circle_options": {"fillOpacity": 0.7,
+							 	   "stroke": false,
+							 	   "fillColor": "#f0b450",
+								   "radius": 8}
+				},
+    "modis": {"obs_var": "od550aero",
+			  "mod_var": "OD550_DUST",
+			  "template" : "{}_{}",
+	          "path" : "/data/daily_dashboard/obs/modis/",
+			  "name": "MODIS",
+			  "title": "Optical Depth (550nm)<br>Valid: %(shour)sh %(sday)s %(smonth)s %(syear)s",
+			  "start_date": "20180101",
+			  "circle_options": {"fillOpacity": 0.7,
+								 "stroke": false,
+								 "fillColor": "#f0b450",
+								 "radius": 8}
+			 }
 }
diff --git a/conf/paths.json b/conf/paths.json
new file mode 100644
index 0000000000000000000000000000000000000000..95b7628dfd6e35d16c85e335656c90ad3745e7d2
--- /dev/null
+++ b/conf/paths.json
@@ -0,0 +1,5 @@
+{
+        "user_guide": "/products/overview/user-guide/@@download",
+        "netcdf": "/products/data-download",
+        "gif_link" : "assets/comparison/{model}/{variable}/{year}/{month}/{curdate}_{model}_{tstep}.{ext}"
+}
diff --git a/conf/prob.json b/conf/prob.json
index 81c568759a241c8e5ca398f3ab1a9cefc3aedf6c..6e9ffe20fadaf12d88ca9ef7dfedc1bd6d902cad 100644
--- a/conf/prob.json
+++ b/conf/prob.json
@@ -1,20 +1,20 @@
 {
     "SCONC_DUST": {
-	"prob_thresh": ["50", "100", "200", "500"], 
+		"prob_thresh": ["50", "100", "200", "500"], 
         "netcdf_path": "/data/daily_dashboard/prob/sconc_dust/{prob}/netcdf/{date}",
         "geojson_path": "/data/daily_dashboard/prob/sconc_dust/{prob}/geojson/{date}",
-	"netcdf_template": "{date}_{var}_Prob{prob}.nc",
-	"geojson_template": "{{step:02d}}_{date}_{var}.geojson",
-	"units": "µg/m³",
-	"title": "Daily Mean of Dust Surface Concentration<br>Probability of exceeding {prob}µg/m³<br>ENS members: {members} Run: {rday} {rmonth} {ryear} Valid: {sday} {smonth} {syear}"
+		"netcdf_template": "{date}_{var}_Prob{prob}.nc",
+		"geojson_template": "{{step:02d}}_{date}_{var}.geojson",
+		"units": "µg/m³",
+		"title": "Daily Mean of Dust Surface Concentration<br>Probability of exceeding %(prob)sµg/m³<br>ENS members: %(members)s Run: %(rday)s %(rmonth)s %(ryear)s Valid: %(sday)s %(smonth)s %(syear)s"
     },
     "OD550_DUST": {
-	"prob_thresh": ["0.1", "0.2", "0.5", "0.8"], 
+		"prob_thresh": ["0.1", "0.2", "0.5", "0.8"], 
         "netcdf_path": "/data/daily_dashboard/prob/od550_dust/{prob}/netcdf/{date}",
         "geojson_path": "/data/daily_dashboard/prob/od550_dust/{prob}/geojson/{date}",
-	"netcdf_template": "{date}_{var}_Prob{prob}.nc",
-	"geojson_template": "{{step:02d}}_{date}_{var}.geojson",
-	"units": "",
-	"title": "Daily Mean of Dust AOD<br>Probability of exceeding {prob}<br>ENS members: {members} Run: {rday} {rmonth} {ryear} Valid: {sday} {smonth} {syear}"
-    }
+		"netcdf_template": "{date}_{var}_Prob{prob}.nc",
+		"geojson_template": "{{step:02d}}_{date}_{var}.geojson",
+		"units": "",
+		"title": "Daily Mean of Dust AOD<br>Probability of exceeding %(prob)s<br>ENS members: %(members)s Run: %(rday)s %(rmonth)s %(ryear)s Valid: %(sday)s %(smonth)s %(syear)s"
+	}
 }
diff --git a/conf/render404.json b/conf/render404.json
new file mode 100644
index 0000000000000000000000000000000000000000..769f95f91b50bc3cb2f34ef5de33c27966617b5a
--- /dev/null
+++ b/conf/render404.json
@@ -0,0 +1,16 @@
+{
+    "forecast": {"name": "Forecast",
+                 "id": "forecast_link", 
+                 "path_prod": "https://dust.aemet.es/products/daily-dust-products/?tab=forecast",
+                 "path_dev": "/?tab=forecast"},
+
+    "evaluation": {"name": "Evaluation",
+                   "id": "evaluation_link", 
+                   "path_prod": "https://dust.aemet.es/products/daily-dust-products/?tab=evaluation",
+                   "path_dev": "/?tab=evaluation"},
+                   
+    "observations": {"name": "Observations", 
+                     "id": "observations_link", 
+                     "path_prod": "https://dust.aemet.es/products/daily-dust-products/?tab=observations",
+                     "path_dev": "/?tab=observations"}
+}
diff --git a/conf/route.json b/conf/route.json
new file mode 100644
index 0000000000000000000000000000000000000000..ca270a940c848aced2f21d7e323c6dbd7cc5f5b9
--- /dev/null
+++ b/conf/route.json
@@ -0,0 +1,10 @@
+{
+    "tab": ["forecast"],
+    "var": ["OD550_DUST"],
+    "model": ["median"],
+    "for_option": ["models"],
+    "eval_option": ["nrt"],
+    "obs_option": ["rgb"],
+    "country": ["burkinafaso"],
+    "download": [null]
+}
\ No newline at end of file
diff --git a/conf/satellite_image_src.json b/conf/satellite_image_src.json
new file mode 100644
index 0000000000000000000000000000000000000000..29c6eea84ef9bc11ad78e85bd6953f729fbaa55e
--- /dev/null
+++ b/conf/satellite_image_src.json
@@ -0,0 +1,6 @@
+{
+        "middle_east": "eumetsat/MiddleEast/archive/{date}/MET8_RGBDust_MiddleEast_{date}{tstep:02d}00.gif",
+        "fulldisc": "eumetsat/FullDiscHD/archive/{date}/FRAME_OIS_RGB-dust-all_{date}{tstep:02d}00.gif",
+        "fulldisc_obs": "./assets/eumetsat/FullDiscHD/archive/{date}/FRAME_OIS_RGB-dust-all_{date}{tstep:02d}00.gif",
+        "aod_image":"./assets/metoffice/{date}/MSG_{date}{tstep:02}00_AOD_444x278.gif"
+}
diff --git a/conf/scores.json b/conf/scores.json
new file mode 100644
index 0000000000000000000000000000000000000000..b7abb785602a9055e499e927ce7ecc3c9fc16de1
--- /dev/null
+++ b/conf/scores.json
@@ -0,0 +1,6 @@
+{
+    "extent": [-27, 60, 0, 67],
+    "title": "%(model_name)s - %(network_name)s - %(statistic_name)s<br>%(rmonth)s %(ryear)s",
+    "circle_options": {"stroke": false,
+	                   "fillOpacity": 0.7}
+}
\ No newline at end of file
diff --git a/conf/vis.json b/conf/vis.json
new file mode 100644
index 0000000000000000000000000000000000000000..4ce65db776c83b699bd9a661c40c6c4ae41f8a32
--- /dev/null
+++ b/conf/vis.json
@@ -0,0 +1,20 @@
+{
+    "path": "/data/daily_dashboard/obs/visibility/{year}/{month}/{year}{month}{day}{tstep0:02d}{tstep1:02d}_visibility.csv",
+    "freq": 6,
+    "xlon": [-25, 60],
+    "ylat": [0, 65],
+    "ec": "none",
+    "size": 80,
+    "colormap": {
+        "< 1 km": "#714921",
+        "1 - 2 km": "#da7230", 
+        "2 - 5 km": "#fcd775", 
+        "Haze < 5 km": "CadetBlue"
+    },
+    "values": [0, 1, 2, 3],
+    "markers": ["o", "o", "o", "^"],
+    "title": "Visibility reduced by airborne dust<br>%(rday)s %(rmonth)s %(ryear)s %(tstep0)s-%(tstep1)s UTC",
+    "circle_options": {"radius": 8,
+                       "stroke": false,
+                       "fillOpacity": 0.7}
+}
\ No newline at end of file
diff --git a/conf/was_prod.json b/conf/was_prod.json
index 059b9f02dfa63bb69e479b5ea99121d3ba88e7d7..5bba7785695e85e666e9e82e48d39528eb2f2bc2 100644
--- a/conf/was_prod.json
+++ b/conf/was_prod.json
@@ -10,11 +10,11 @@
         "var": "SCONC_DUST",
         "path": "/data/daily_dashboard/was/{was}/{format}/{date}",
         "template": "{date}_{var}.{format}",
-        "colors": {
-            "green"     : "Normal",
-            "gold"      : "High",
-            "darkorange": "Very High",
-            "red"       : "Extremely High"
+        "colormap": {
+            "Normal"           : "green",
+            "High"             : "gold",
+            "Very High"        : "darkorange",
+            "Extremely High"   : "red"
         },
         "values": {
             "Boucle du Mouhoun" : [328, 411, 533],
@@ -31,7 +31,9 @@
             "Sahel"             : [473, 596, 766],
             "Sud-Ouest"         : [258, 320, 392]
             },
-        "title": "Barcelona Dust Regional Center - Burkina Faso WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s"
+        "title": "Barcelona Dust Regional Center - Burkina Faso WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s",
+        "hideout_style": {"weight": 1, "opacity": 1, "color": "white", "dashArray": "3"},
+        "hover_style": {"weight": 2, "color": "white", "dashArray": ""}
         },
     "senegal": 
         {
@@ -44,11 +46,11 @@
         "var": "SCONC_DUST",
         "path": "/data/daily_dashboard/was/{was}/{format}/{date}",
         "template": "{date}_{var}.{format}",
-        "colors": {
-            "green"     : "Normal",
-            "gold"      : "High",
-            "darkorange": "Very High",
-            "red"       : "Extremely High"
+        "colormap": {
+            "Normal"           : "green",
+            "High"             : "gold",
+            "Very High"        : "darkorange",
+            "Extremely High"   : "red"
         },
         "values": {
             "Diourbel"      : [365, 464, 655],
@@ -68,7 +70,9 @@
         "correspondence": {
             "Dakar": "Thies"
         },
-        "title": "Barcelona Dust Regional Center - Senegal WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s"
+        "title": "Barcelona Dust Regional Center - Senegal WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s",
+        "hideout_style": {"weight": 1, "opacity": 1, "color": "white", "dashArray": "3"},
+        "hover_style": {"weight": 2, "color": "white", "dashArray": ""}
         },
     "chad": 
         {
@@ -81,11 +85,11 @@
         "var": "SCONC_DUST",
         "path": "/data/daily_dashboard/was/{was}/{format}/{date}",
         "template": "{date}_{var}.{format}",
-        "colors": {
-            "green"     : "Normal",
-            "gold"      : "High",
-            "darkorange": "Very High",
-            "red"       : "Extremely High"
+        "colormap": {
+            "Normal"           : "green",
+            "High"             : "gold",
+            "Very High"        : "darkorange",
+            "Extremely High"   : "red"
         },
         "values": {
             "BATHA"            : [1348, 1716, 2152],
@@ -114,7 +118,9 @@
         "correspondence": {
             "NDJAMENA": "HADJER LAMIS"
         },
-        "title": "Barcelona Dust Regional Center - Chad WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s"
+        "title": "Barcelona Dust Regional Center - Chad WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s",
+        "hideout_style": {"weight": 1, "opacity": 1, "color": "white", "dashArray": "3"},
+        "hover_style": {"weight": 2, "color": "white", "dashArray": ""}
         },
     "mali":
         {
@@ -127,11 +133,11 @@
         "var": "SCONC_DUST",
         "path": "/data/daily_dashboard/was/{was}/{format}/{date}",
         "template": "{date}_{var}.{format}",
-        "colors": {
-            "green"     : "Normal",
-            "gold"      : "High",
-            "darkorange": "Very High",
-            "red"       : "Extremely High"
+        "colormap": {
+            "Normal"           : "green",
+            "High"             : "gold",
+            "Very High"        : "darkorange",
+            "Extremely High"   : "red"
         },
         "values": {
            "Gao"       : [871, 1100, 1603],
@@ -147,7 +153,9 @@
             "Bamako": "Koulikoro",
         "Menaka": "Kidal"
         },
-        "title": "Barcelona Dust Regional Center - Mali WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s"
+        "title": "Barcelona Dust Regional Center - Mali WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s",
+        "hideout_style": {"weight": 1, "opacity": 1, "color": "white", "dashArray": "3"},
+        "hover_style": {"weight": 2, "color": "white", "dashArray": ""}
         },
     "niger": 
         {
@@ -160,11 +168,11 @@
         "var": "SCONC_DUST",
         "path": "/data/daily_dashboard/was/{was}/{format}/{date}",
         "template": "{date}_{var}.{format}",
-        "colors": {
-            "green"     : "Normal",
-            "gold"      : "High",
-            "darkorange": "Very High",
-            "red"       : "Extremely High"
+        "colormap": {
+            "Normal"           : "green",
+            "High"             : "gold",
+            "Very High"        : "darkorange",
+            "Extremely High"   : "red"
         },
         "values": {
             "AGADEZ"    : [1346, 1607, 2014],
@@ -178,7 +186,9 @@
         "correspondence": {
             "NIAMEY": "TILLABERI"
         },
-        "title": "Barcelona Dust Regional Center - Niger WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s"
+        "title": "Barcelona Dust Regional Center - Niger WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s",
+        "hideout_style": {"weight": 1, "opacity": 1, "color": "white", "dashArray": "3"},
+        "hover_style": {"weight": 2, "color": "white", "dashArray": ""}
         },
     "cabo_verde": 
         {
@@ -191,11 +201,11 @@
         "var": "SCONC_DUST",
         "path": "/data/daily_dashboard/was/{was}/{format}/{date}",
         "template": "{date}_{var}.{format}",
-        "colors": {
-            "green"     : "Normal",
-            "gold"      : "High",
-            "darkorange": "Very High",
-            "red"       : "Extremely High"
+        "colormap": {
+            "Normal"           : "green",
+            "High"             : "gold",
+            "Very High"        : "darkorange",
+            "Extremely High"   : "red"
         },
         "values": {
             "CaboVerdeBarlavento" : [137, 196, 345],
@@ -213,8 +223,10 @@
             "SANTA LUZIA"    : "CaboVerdeBarlavento",
             "SAO NICOLAU"    : "CaboVerdeBarlavento"
         },
-    "exclude" : [ "CaboVerdeBarlavento", "CaboVerdeSotavento"],
-        "title": "Barcelona Dust Regional Center - Cape Verde WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s"
+        "exclude" : [ "CaboVerdeBarlavento", "CaboVerdeSotavento"],
+        "title": "Barcelona Dust Regional Center - Cape Verde WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s",
+        "hideout_style": {"weight": 1, "opacity": 1, "color": "white", "dashArray": "3"},
+        "hover_style": {"weight": 2, "color": "white", "dashArray": ""}
         },
     "mauritania": 
         {
@@ -227,11 +239,11 @@
         "var": "SCONC_DUST",
         "path": "/data/daily_dashboard/was/{was}/{format}/{date}",
         "template": "{date}_{var}.{format}",
-        "colors": {
-            "green"     : "Normal",
-            "gold"      : "High",
-            "darkorange": "Very High",
-            "red"       : "Extremely High"
+        "colormap": {
+            "Normal"           : "green",
+            "High"             : "gold",
+            "Very High"        : "darkorange",
+            "Extremely High"   : "red"
         },
         "values": {
             "Adrar"             : [742, 921, 1213],
@@ -248,6 +260,8 @@
             "Trarza"            : [945, 1160, 1406],
             "Tris-Zemmour"      : [952, 1189, 1579]
         },
-        "title": "Barcelona Dust Regional Center - Mauritania WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s"
+        "title": "Barcelona Dust Regional Center - Mauritania WAS.<br>Expected concentration of airborne dust.<br>Issued: %(rday)s %(rmonth)s %(ryear)s. Valid: %(sday)s %(smonth)s %(syear)s",
+        "hideout_style": {"weight": 1, "opacity": 1, "color": "white", "dashArray": "3"},
+        "hover_style": {"weight": 2, "color": "white", "dashArray": ""}
         }
 }
diff --git a/conf/styles.json b/conf_ines_core/map_layers.json
similarity index 78%
rename from conf/styles.json
rename to conf_ines_core/map_layers.json
index c770f3cafc9015b91da118e44c91622f3b570cc6..6a1ce10a9643dcaf194a8605896e9b97ecfff0b5 100644
--- a/conf/styles.json
+++ b/conf_ines_core/map_layers.json
@@ -2,12 +2,12 @@
     "carto-positron": {
         "name": "Light",
         "url": "https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png",
-	"attribution": "&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors &copy; <a href='https://carto.com/attributions'>CARTO</a>"
+	    "attribution": "&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors &copy; <a href='https://carto.com/attributions'>CARTO</a>"
     },
     "open-street-map": {
         "name": "Open street map",
         "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
-	"attribution": "&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors"
+	    "attribution": "&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors"
     },
     "stamen-terrain": {
         "name": "Terrain",
diff --git a/dash_server.py b/dash_server.py
index 33f7b3bcd67018aed6b336589e5aace3a3a334bb..0d3d3ef2fd41d819aca3b107c9ce492a7012f9be 100755
--- a/dash_server.py
+++ b/dash_server.py
@@ -6,24 +6,29 @@ from dash import dcc
 from dash import html
 from flask.app import Flask
 
-from data_handler import DEBUG
-from data_handler import cache
-from data_handler import PATHNAME
-from data_handler import HOSTNAME
+from map_handler import DASH_LOG_LEVEL
+from map_handler import cache
+from map_handler import PATHNAME
+from map_handler import HOSTNAME
 
 from router import *
 
+import logging
+logging.basicConfig(level=DASH_LOG_LEVEL)
+
 
 fontawesome = 'https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css'
 leaflet = "https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.2.0/leaflet.css"
+html2canvas = "https://cdnjs.cloudflare.com/ajax/libs/html2canvas/1.4.1/html2canvas.min.js"
+jQuery = 'https://code.jquery.com/jquery-3.6.0.slim.min.js'
 
 srv = Flask(__name__)
 app = dash.Dash(__name__,
-                external_scripts=['https://code.jquery.com/jquery-3.6.0.slim.min.js'],
+                external_scripts=[jQuery, html2canvas],
                 external_stylesheets=[dbc.themes.BOOTSTRAP,
                                       dbc.themes.GRID,
                                       fontawesome,
-                                      leaflet
+                                      leaflet,
                                      ],
                 url_base_pathname=PATHNAME,
                 server=srv,
@@ -40,7 +45,7 @@ cache.init_app(server)
 try:
     cache.clear()
 except Exception as e:
-    print('CACHE CLEAR ERROR:', str(e))
+    logging.error('CACHE CLEAR ERROR:', str(e))
     pass
 
 app.index_string = """
@@ -86,16 +91,17 @@ app.index_string = """
     </body>
 </html>
 """
-if DEBUG: print('SERVER: start creating app layout')
+logging.debug('SERVER: start creating app layout')
 
 #SET APP LAYOUT TO BE POPULATED
 app.layout = html.Div([dcc.Location(id="url", refresh=False)], id="content")
     
-if DEBUG: print('SERVER: stop creating app layout')
+logging.debug('SERVER: stop creating app layout')
 
 from tabs.forecast_callbacks import *
 from tabs.evaluation_callbacks import *
 from tabs.observations_callbacks import *
+from tabs.generic_callbacks import *
 
 if __name__ == '__main__':
-    app.run_server(debug=True, host=HOSTNAME, port=7777)
+    app.run_server(debug=True, host=HOSTNAME, port=7778)
diff --git a/data_handler.py b/data_handler.py
deleted file mode 100644
index 0586241132f28bf77017e15be8f1fead8aac7a80..0000000000000000000000000000000000000000
--- a/data_handler.py
+++ /dev/null
@@ -1,1787 +0,0 @@
-# -*- coding: utf-8 -*-
-""" Data Handler """
-
-import plotly.graph_objs as go
-from dash import html
-import dash_leaflet as dl
-import dash_leaflet.express as dlx
-from dash_extensions.javascript import arrow_function
-from dash_extensions.javascript import Namespace
-from matplotlib.colors import ListedColormap
-import numpy as np
-from netCDF4 import Dataset as nc_file
-import pandas as pd
-import json
-import orjson
-from datetime import datetime
-from dateutil.relativedelta import relativedelta
-from collections import OrderedDict
-import calendar
-import time
-import os
-from datetime import datetime as dt
-from datetime import timedelta
-
-from utils import concat_dataframes
-from utils import retrieve_timeseries
-from utils import retrieve_single_point
-from utils import get_colorscale
-
-from pathlib import Path
-from flask_caching import Cache
-import uuid
-import socket
-
-#SETUP CACHE
-cache_dir = "/dev/shm/{}".format(str(uuid.uuid1()))
-Path(cache_dir).mkdir(parents=True, exist_ok=True)
-
-cache_config = {
-    "DEBUG": True,
-    "CACHE_TYPE": "FileSystemCache",
-    "CACHE_DIR": cache_dir,
-}
-
-cache = Cache(config=cache_config)
-cache_timeout = 86400
-
-#SETUP BASE URL 
-HOSTNAME = socket.gethostbyname_ex(socket.gethostname())[0]
-
-DIR_PATH = os.path.dirname(os.path.realpath(__file__))
-
-DEBUG = True  # False
-
-HOSTNAMES = json.load(open(os.path.join(DIR_PATH, 'conf/hostnames.json')))
-VARS = json.load(open(os.path.join(DIR_PATH, 'conf/vars.json')))
-MODELS = json.load(open(os.path.join(DIR_PATH, 'conf/models.json')))
-OBS = json.load(open(os.path.join(DIR_PATH, 'conf/obs.json')))
-WAS = json.load(open(os.path.join(DIR_PATH, 'conf/was.json')))
-PROB = json.load(open(os.path.join(DIR_PATH, 'conf/prob.json')))
-DATES = json.load(open(os.path.join(DIR_PATH, 'conf/dates.json')))
-ALIASES = json.load(open(os.path.join(DIR_PATH, 'conf/aliases.json')))
-STATS_CONF = json.load(open(os.path.join(DIR_PATH, 'conf/stats.json')))
-STYLES = json.load(open(os.path.join(DIR_PATH, 'conf/styles.json')))
-ALL_COLORS = json.load(open(os.path.join(DIR_PATH, 'conf/colors.json')))
-MODEBARS = json.load(open(os.path.join(DIR_PATH, 'conf/modebars.json')))
-
-MODEBAR_CONFIG = MODEBARS['config']
-MODEBAR_CONFIG_TS = MODEBARS['config_ts']
-MODEBAR_LAYOUT = MODEBARS['layout']
-MODEBAR_LAYOUT_TS = MODEBARS['layout_ts']
-INFO_STYLE = MODEBARS['info_style']
-
-COLORS = ALL_COLORS['std']
-COLORS_NORGB = ALL_COLORS['std_norgb']
-COLORS_PROB = ALL_COLORS['prob']
-
-COLORMAP = ListedColormap(COLORS_NORGB)
-COLORMAP_PROB = ListedColormap(COLORS_PROB)
-
-START_DATE = DATES['start_date']
-DELAY = DATES['delay']['delayed']
-DELAY_DATE = DATES['delay']['start_date']
-END_DATE = DATES['end_date']
-END_DATE = END_DATE or (DELAY and (dt.now() -
-    timedelta(days=1)).strftime("%Y%m%d") or dt.now().strftime("%Y%m%d"))
-
-ROUTE_DEFAULTS = {
-        'tab':['forecast'],
-        'var': ['OD550_DUST'],
-        'model': ['median'],
-        'for_option': ['models'],
-        'eval_option': ['nrt'],
-        'obs_option': ['rgb'],
-        'country': ['burkinafaso'],
-        'download': [None],
-        'date': [END_DATE]
-        }
-
-STATS = OrderedDict([(key, STATS_CONF[key]['name']) for key in STATS_CONF])
-STATS.update({ 'totn': 'TOTAL CASES' })
-
-GRAPH_HEIGHT = 90
-
-# Frequency = 3 Hourly
-FREQ = 3
-OPACITY = 0.7
-
-DEFAULT_VAR = 'OD550_DUST'
-DEFAULT_MODEL = 'median'
-
-DISCLAIMER_NO_FORECAST = [html.Span(html.P("""Dust data ©2023 WMO Barcelona Dust Regional Center."""), id='forecast-disclaimer')]
-
-DISCLAIMER_MODELS = [html.Span(html.P("""Dust data ©2023 WMO Barcelona Dust Regional Center."""), id='forecast-disclaimer')]
-
-DISCLAIMER_OBS = html.P("""Aerosol data ©2023 WMO Barcelona Dust Regional Center, NASA.""")
-
-GEOJSON_TEMPLATE = "{}/geojson/{}/{:02d}_{}_{}.geojson"
-NETCDF_TEMPLATE = "{}/netcdf/{}{}.nc"
-
-if HOSTNAME in HOSTNAMES:
-    PATHNAME = HOSTNAMES[HOSTNAME]
-else:
-    PATHNAME = HOSTNAMES['default']
-
-
-class Observations1dHandler(object):
-    """ Class which handles 1D obs data """
-
-    def __init__(self, sdate, edate, obs):
-        fday = sdate[:-2] + '01'
-        lday = edate[:-2] + str(calendar.monthrange(int(edate[:4]), int(edate[4:6]))[1])
-        date_range = pd.date_range(fday, lday, freq='M')
-        months = [d.strftime("%Y%m") for d in date_range.to_pydatetime()]
-        filepaths = ["{}.nc".format(os.path.join(OBS[obs]['path'], 'netcdf',
-            OBS[obs]['template'].format(OBS[obs]['obs_var'], month))) for month
-            in months]
-        input_files = [nc_file(filepath) for filepath in filepaths]
-        if 'longitude' in input_files[0].variables:
-            lon_var = 'longitude'
-            lat_var = 'latitude'
-        else:
-            lon_var = 'lon'
-            lat_var = 'lat'
-
-        lon = input_files[0].variables[lon_var][:]
-        lat = input_files[0].variables[lat_var][:]
-        self.varname = [var for var in input_files[0].variables if var == OBS[obs]['obs_var']][0]
-        if DEBUG: print('VARNAME', self.varname)
-
-        sites = pd.read_csv(os.path.join('./conf/',
-            OBS[obs]['sites']))
-#         sites = pd.read_table(os.path.join('./conf/',
-#             OBS[obs]['sites']), delimiter=r"\s+", engine='python')
-
-        idxs, self.station_names = np.array([[idx, st_name[~st_name.mask].tobytes().decode('utf-8')]
-                              for idx, st_name in
-                              enumerate(input_files[0].variables['station_name'][:])
-                              if st_name[~st_name.mask].tobytes().decode('utf-8').upper() in map(str.upper, sites['SITE'])]
-                              ).T
-
-        if DEBUG: print('IDXS', idxs)
-        if DEBUG: print('ST_NAMES', self.station_names)
-
-        self.clon = lon[idxs.astype(int)]
-        self.clat = lat[idxs.astype(int)]
-
-        self.values = {
-            self.varname: np.concatenate([input_file.variables[self.varname][:, idxs.astype(int)] for input_file in input_files])
-        }
-
-
-    def generate_obs1d_tstep_trace(self, var):
-        """ Generate trace to be added to data, per variable and timestep """
-        varname = self.varname
-        val = np.ma.masked_where(self.values[varname]<0., self.values[varname])
-        notnan = (np.array([i for i in range(val.shape[1]) if not val[:, i].mask.all()]),)
-        clon = self.clon[notnan]
-        clat = self.clat[notnan]
-        cstations = self.station_names[notnan]
-        df = pd.DataFrame({
-            'lon': clon.round(2),
-            'lat': clat.round(2),
-            'stations': cstations
-            })  # .T, columns=['lon', 'lat', 'station'])
-        dicts = df.to_dict('rows')
-        geojson = dlx.dicts_to_geojson(dicts, lon="lon")
-
-        # Geojson rendering logic, must be JavaScript as it is executed in clientside.
-        ns = Namespace("evaluationTab", "evaluationMaps")
-        point_to_layer = ns("pointToLayer")
-        # Create geojson.
-        return df, dl.GeoJSON(data=geojson,
-                options=dict(
-                    pointToLayer=point_to_layer,
-                ),
-                hideout=dict(
-                    circleOptions=dict(
-                        fillOpacity=OPACITY,
-                        stroke=False,
-                        fillColor='#f0b450',
-                        radius=8),
-                )
-            )
-
-
-class ObsTimeSeriesHandler(object):
-    """ Class to handle evaluation time series """
-
-    def __init__(self, obs, start_date, end_date, variable, models=None):
-        self.obs = obs
-        if models is None:
-            models = list(MODELS.keys())
-        self.model = models
-        self.variable = variable
-        self.dataframe = []
-        if DEBUG: print("ObsTimeSeries", start_date, end_date)
-        self.date_range = pd.date_range(start_date, end_date, freq='D')
-
-        fname_tpl = os.path.join(OBS[obs]['path'],
-                                'feather',
-                                '{{}}-{dat}-{{}}_interp.ft')
-
-        months = np.unique([d.strftime("%Y%m") for d in self.date_range.to_pydatetime()])
-
-        self.date_index = pd.date_range('{}01'.format(months[0]),
-                '{}01'.format((datetime.strptime(months[-1], '%Y%m') +
-                    relativedelta(days=31)).strftime('%Y%m')), freq=f'{FREQ}H')
-
-        if DEBUG:
-            print('MONTHS', months)
-        if DEBUG:
-            print('DATE_INDEX', self.date_index)
-
-        fname_obs = fname_tpl.format(dat=obs)
-        notnans, obs_df = concat_dataframes(fname_obs, months, variable,
-            rename_from=OBS[obs]['obs_var'])
-        self.dataframe.append(obs_df)
-
-        if 'flt_var' in OBS[obs]:
-            fname_flt = fname_tpl.format(dat='{}_{}'.format(obs, OBS[obs]['flt_var']))
-            _, flt_df = concat_dataframes(fname_flt, months, variable,
-                rename_from=OBS[obs]['flt_var'], notnans=notnans)
-            self.dataframe.append(flt_df)
-
-        for mod in self.model:
-            fname_mod = fname_tpl.format(dat=mod)
-            _, mod_df = concat_dataframes(fname_mod, months, variable,
-                    rename_from=None, notnans=notnans)
-            self.dataframe.append(mod_df)
-
-
-    def retrieve_timeseries(self, idx, st_name, model):
-        """ Return traces with timeseries of observations, filtering variable and
-        all models """
-        
-        #FIXME pop filtering variable for now
-        self.dataframe.pop(1)
-        old_indexes = self.dataframe[0]['station'].unique()
-        new_indexes = np.arange(old_indexes.size)
-        dict_idx = dict(zip(new_indexes, old_indexes))
-        if DEBUG: print("RETRIEVE TS", idx, dict_idx[idx], st_name, model)
-        fig = go.Figure()
-        for mod, df in zip([self.obs]+self.model, self.dataframe):
-            if df is None:
-                continue
-            if DEBUG: print("MOD", mod, "COLS", df.columns)
-            if df.columns[-1].upper() == self.variable:
-                df = df.rename(columns = { df.columns[-1]: self.variable })
-
-            if DEBUG: print("BUILDING TIME-SERIES")
-            try:
-                tmp_df = df[df['station']==dict_idx[idx]].set_index('time')
-                tmp_df.drop_duplicates(keep='first')
-                timeseries = \
-                   tmp_df.reindex(self.date_index)
-                if timeseries[self.variable].isnull().all():
-                    continue
-            except Exception as e:
-                if DEBUG: print("ERROR timeseries", str(e))
-                continue
-
-            if DEBUG: print("SELECTING COORDS")
-            if 'lat' in df.columns:
-                lat_col = 'lat'
-                lon_col = 'lon'
-            else:
-                lat_col = 'latitude'
-                lon_col = 'longitude'
-
-            if mod == self.obs:
-                if DEBUG: print("OBSERVATION")
-                sc_mode = 'markers'
-                marker = {'size': 10, 'symbol': "triangle-up-dot", 'color': '#f0b450'}
-                line = {}
-                visible = True
-                name = mod.upper()
-            else:
-                if DEBUG: print("MODEL", mod)
-                try:
-                    sc_mode = 'lines'
-                    marker = {}
-                    line = { 'color': MODELS[mod]['color'] }
-                    visible = (mod == model) and True or 'legendonly'
-                    name = "{}".format(MODELS[mod]['name'])
-                    cur_lat = round(timeseries[lat_col].dropna()[0], 2)
-                    cur_lon = round(timeseries[lon_col].dropna()[0], 2)
-                except Exception as e:
-                    if DEBUG: print("ERROR MODEL", mod, str(e), timeseries[lat_col].dropna())
-                    continue
-
-            if mod == 'median':
-                line['dash'] = 'dash'
-
-            if DEBUG: print("ADD TRACE")
-            fig.add_trace(dict(
-                type='scatter',
-                name=name,
-                x=timeseries.index,
-                y=timeseries[self.variable].round(2),
-                mode=sc_mode,
-                marker=marker,
-                line=line,
-                visible=visible,
-                connectgaps=False
-                )
-            )
-
-        title = "{} @ {} (lat = {:.2f}, lon = {:.2f})".format(
-            VARS[self.variable]['name'], st_name, cur_lat, cur_lon,
-        )
-
-        fig.update_layout(
-            title=dict(text=title, x=0.45, y=0.99),
-            # uirevision=True,
-            autosize=True,
-            showlegend=True,
-            plot_bgcolor='#F9F9F9',
-            font_size=12,
-            hovermode="x",        # highlight closest point on hover
-            margin={"r": 10, "t": 35, "l": 10, "b": 10},
-        )
-        fig.update_xaxes(
-            range=[self.date_range[0], self.date_range[-1]],
-            rangeslider_visible=True,
-            rangeselector=dict(
-                buttons=list([
-                    dict(step="all", label="all"),
-                    dict(count=14, label="2w",
-                         step="day", stepmode="backward"),
-                    dict(count=7, # label="1w",
-                         step="day", stepmode="backward"),
-                ])
-            )
-        )
-
-        if DEBUG: print('FIG TYPE', type(fig))
-        return fig
-
-
-class TimeSeriesHandler(object):
-    """ Class to handle forecast time series """
-
-    def __init__(self, model, date, variable):
-        if isinstance(model, str):
-            model = [model]
-        self.model = model
-        self.variable = variable
-        self.fpaths = []
-        try:
-            self.month = datetime.strptime(date, "%Y%m%d").strftime("%Y%m")
-            self.currdate = datetime.strptime(date, "%Y%m%d").strftime("%Y%m%d")
-        except:
-            self.month = datetime.strptime(date, "%Y-%m-%d").strftime("%Y%m")
-            self.currdate = datetime.strptime(date, "%Y-%m-%d").strftime("%Y%m%d")
-
-    def retrieve_single_point(self, tstep, lat, lon, model=None):
-
-        if not model:
-            model = self.model[0]
-
-        if DEBUG: print("----------", model)
-
-        method = 'netcdf'
-        if (MODELS[model]['start'] == 12 and not DELAY and DELAY_DATE and (datetime.strptime(self.currdate, "%Y%m%d") >= datetime.strptime(DELAY_DATE, "%Y%m%d"))) or \
-                (MODELS[model]['start'] == 12 and not DELAY and not DELAY_DATE):
-            mod_date = (datetime.strptime(self.currdate, "%Y%m%d") -
-                    timedelta(days=1)).strftime("%Y%m%d")
-        else:
-            mod_date = self.currdate
-        path_template = '{}{}.nc'.format(mod_date,
-                                         MODELS[model]['template'],
-                                         self.variable)
-
-        fpath = os.path.join(MODELS[model]['path'], method, path_template)
-
-        return retrieve_single_point(fpath, tstep, lat, lon,
-                                     self.variable)
-
-    def retrieve_timeseries(self, lat, lon, model=None, method='netcdf', forecast=False):
-
-        if not model:
-            model = self.model
-
-        # if DEBUG: print("----------", model)
-
-        obs_eval = model[0] not in MODELS and model[0] in OBS
-        if obs_eval:
-            all_models = [model[0]] + list(MODELS.keys())
-        else:
-            all_models = list(MODELS.keys())
-
-        for mod in all_models:
-            if obs_eval:
-                filedir = OBS[model[0]]['path']
-                path_tpl = '{}-{}-{}_interp.ft'  # 202010-median-OD550_DUST_interp.ft
-            else:   # if mod in MODELS:
-                filedir = MODELS[mod]['path']
-                path_tpl = '{}-{}-{}.ft'  # 202010-median-OD550_DUST_interp.ft
-
-            if method == 'feather':
-                path_template = path_tpl.format(self.month, mod, self.variable)
-            elif method == 'netcdf':
-                path_template = '{}*{}.nc'.format(self.month, MODELS[mod]['template'], self.variable)
-
-            if forecast:
-                method = 'netcdf'
-                if (MODELS[mod]['start'] == 12 and not DELAY and DELAY_DATE and (datetime.strptime(self.currdate, "%Y%m%d") >= datetime.strptime(DELAY_DATE, "%Y%m%d"))) or \
-                        (MODELS[mod]['start'] == 12 and not DELAY and not DELAY_DATE):
-                    mod_date = (datetime.strptime(self.currdate, "%Y%m%d") -
-                            timedelta(days=1)).strftime("%Y%m%d")
-                else:
-                    mod_date = self.currdate
-                path_template = '{}{}.nc'.format(mod_date, MODELS[mod]['template'], self.variable)
-
-            fpath = os.path.join(filedir,
-                                 method,
-                                 path_template)
-            self.fpaths.append(fpath)
-
-        title = "{} @ lat = {} and lon = {}".format(
-            VARS[self.variable]['name'], round(lat, 2), round(lon, 2)
-        )
-
-        mul = VARS[self.variable]['mul']
-
-        fig = go.Figure()
-
-        for mod, fpath in zip(all_models, self.fpaths):
-            # print(mod, fpath)
-            if mod not in MODELS and mod in OBS:
-                variable = OBS[mod]['obs_var']
-            else:
-                variable = self.variable
-
-            if not os.path.exists(fpath):
-                if DEBUG: print("NOT retrieving", fpath, "File doesn't exist.")
-                continue
-
-            if DEBUG: print('Retrieving *** FPATH ***', fpath)
-            try:
-                ts_lat, ts_lon, ts_index, ts_values = retrieve_timeseries(
-                        fpath, lat, lon, variable, method=method, forecast=forecast)
-            except Exception as e:
-                if DEBUG: print("NOT retrieving", fpath, "ERROR:", str(e))
-                continue
-
-            if forecast is True or mod in ('cams', 'ema-regcm4'):
-                ts = pd.Series(index=ts_index, data=ts_values)
-            else:
-                date_index = pd.date_range('{}01'.format(self.month),
-                        '{}01'.format((datetime.strptime(self.month, '%Y%m') +
-                            relativedelta(days=31)).strftime('%Y%m')), freq=f'{FREQ}H')
-                ts = pd.Series(index=ts_index, data=ts_values).reindex(date_index)
-
-            if isinstance(ts_lat, np.ndarray):
-                ts_lat = float(ts_lat)
-                ts_lon = float(ts_lon)
-            if isinstance(ts.values, np.ndarray):
-                ts_values = (ts.values*mul).round(2)
-            else:
-                ts_values = round((ts.values*mul), 2)
-
-            if obs_eval and mod == model[0]:
-                sc_mode = 'markers'
-                marker = {'size': 12, 'symbol': "triangle-up-dot", 'color': '#f0b450'}
-                line = {}
-                visible = True
-                name = "{}".format(mod.upper())
-            elif obs_eval:
-                sc_mode = 'lines'
-                marker = {}
-                line = { 'color': MODELS[mod]['color'] }
-                if mod in model:
-                    visible = True
-                else:
-                    visible = 'legendonly'
-                name = "{}".format(MODELS[mod]['name'])
-            else:
-                sc_mode = 'lines'
-                marker = {}
-                line = { 'color': MODELS[mod]['color'] }
-                if mod in model:
-                    visible = True
-                else:
-                    visible = 'legendonly'
-                name = "{} ({}, {})".format(
-                        MODELS[mod]['name'], round(ts_lat, 2), round(ts_lon, 2))
-
-            if mod == 'median':
-                line['dash'] = 'dash'
-            else:
-                line['dash'] = 'solid'
-
-            fig.add_trace(dict(
-                    type='scatter',
-                    name=name,
-                    x=ts.index,
-                    y=ts_values,
-                    mode=sc_mode,
-                    marker=marker,
-                    line=line,
-                    visible=visible,
-                )
-            )
-
-        fig.update_layout(
-            title=dict(text=title, x=0.45, y=.99),
-            yaxis=dict(exponentformat="none"),
-            # uirevision=True,
-            autosize=True,
-            showlegend=True,
-            plot_bgcolor='#F9F9F9',
-            font_size=12,
-            # hovermode="closest",        # highlight closest point on hover
-            hovermode="x",        # highlight closest point on hover
-            margin={"r": 10, "t": 35, "l": 10, "b": 10},
-        )
-
-        return fig
-
-
-class FigureHandler(object):
-    """ Class to manage the figure creation """
-
-    def __init__(self, model=None, selected_date=None):
-        """ FigureHandler init """
-
-        self.st_time = time.time()
-        if isinstance(model, list):
-            model = model[0]
-
-        self.model = model
-
-        if self.model not in MODELS and self.model in OBS:
-            self.filedir = OBS[self.model]['path']
-            self.filevars = [OBS[self.model]['obs_var']]
-            self.confvars = [OBS[self.model]['mod_var']]
-            filetpl = OBS[self.model]['template'].format(OBS[self.model]['obs_var'], selected_date) + '.nc'
-            filepath = os.path.join(self.filedir, 'netcdf', filetpl)
-
-        elif self.model in MODELS:
-            if DEBUG: print("MODEL", model)
-            self.filedir = MODELS[self.model]['path']
-            self.filevars = VARS
-            self.confvars = None
-
-            filepath = NETCDF_TEMPLATE.format(
-                self.filedir,
-                selected_date,
-                MODELS[self.model]['template']
-            )
-        else:
-            self.model = None
-            self.filedir = None
-            self.filevars = None
-            self.confvars = None
-            filepath = None
-            self.bounds = None
-
-        if filepath is None or not os.path.exists(filepath):
-            self.filedir = None
-            self.filevars = None
-            self.confvars = None
-            filepath = None
-            self.bounds = None
-            self.varlist = None
-            self.rdatetime = None
-            self.tim = [0]
-        elif filepath is not None:
-            self.input_file = nc_file(filepath)
-            if 'lon' in self.input_file.variables:
-                lon = self.input_file.variables['lon'][:]
-                lat = self.input_file.variables['lat'][:]
-            else:
-                lon = self.input_file.variables['longitude'][:]
-                lat = self.input_file.variables['latitude'][:]
-            time_obj = self.input_file.variables['time']
-            self.tim = time_obj[:]
-            tim_units = time_obj.units.split()
-            if len(tim_units) == 3:
-                self.what, _, rdate = tim_units
-                rtime = "00:00"
-            elif len(tim_units) >= 4:
-                self.what, _, rdate, rtime = tim_units[:4]
-            if len(rtime) > 5:
-                rtime = rtime[:5]
-            self.rdatetime = datetime.strptime("{} {}".format(rdate, rtime),
-                                               "%Y-%m-%d %H:%M")
-            varlist = [var for var in self.input_file.variables if (var.upper() in self.filevars) or (var in self.filevars)]
-            self.varlist = varlist
-            if DEBUG: print('VARLIST', varlist)
-            self.xlon, self.ylat = np.meshgrid(lon, lat)
-
-        if not self.varlist:
-            self.varlist = VARS.keys()
-
-        if DEBUG: print('VARLIST', self.varlist, 'CONFVAR', self.confvars)
-
-        if self.confvars is not None:
-            self.bounds = {
-                varname.upper(): np.array(VARS[confvar]['bounds']).astype('float32')
-                for varname, confvar in zip(self.filevars, self.confvars) if (varname.upper() in self.varlist) or (varname in self.varlist)
-            }
-        else:
-            self.bounds = {
-                varname.upper(): np.array(VARS[varname.upper()]['bounds']).astype('float32')
-                for varname in self.varlist
-            }
-
-        self.colormaps = {
-            varname.upper(): get_colorscale(self.bounds[varname.upper()], COLORMAP)
-            for varname in self.varlist
-        }
-        # print(varlist, self.confvars, self.filevars, self.bounds, self.colormaps)
-
-        if selected_date:
-            self.selected_date_plain = selected_date
-
-            self.selected_date = datetime.strptime(
-                selected_date, "%Y%m%d").strftime("%Y-%m-%d")
-
-            if not self.rdatetime:
-                self.rdatetime = datetime.strptime(selected_date, "%Y%m%d")
-                self.what = 'hours'
-
-        self.fig = None
-        if DEBUG: print("FILEPATH", filepath)
-        if DEBUG: print("FILEDIR", self.filedir)
-
-    def get_center(self, center=None):
-        """ Returns center of map """
-        if center is None and hasattr(self, 'ylat'):
-            center =  [
-                    (self.ylat.max()-self.ylat.min())/2 + self.ylat.min() + (self.ylat.max()-self.ylat.min())/6,
-                    (self.xlon.max()-self.xlon.min())/2 + self.xlon.min(),
-            ]
-        elif center is None:
-            center = [ 30, 15 ]
-
-        return center
-
-    def set_data(self, varname, tstep=0):
-        """ Set time dependent data """
-        if self.model in OBS:
-            mul = VARS[OBS[self.model]['mod_var']]['mul']
-        else:
-            mul = VARS[varname]['mul']
-
-        realvar = [var for var in self.varlist if var.upper()==varname.upper()][0]
-        # if DEBUG: print("***", mul, realvar, "***")
-        var = self.input_file.variables[realvar][tstep]*mul
-        idx = np.where((~var.ravel().mask) & (var.ravel() >= self.bounds[varname.upper()][0]))  # !=-9.e+33)
-        xlon = self.xlon.ravel()[idx]
-        ylat = self.ylat.ravel()[idx]
-        var = var.ravel()[idx]
-        # if DEBUG: print("***", xlon.shape, ylat.shape, var.shape, "***")
-        return xlon.data, ylat.data, var.data
-
-    def retrieve_cdatetime(self, tstep=0):
-        """ Retrieve data from NetCDF file """
-        tstep = int(tstep)
-        tim = int(self.tim[tstep])
-        if self.what == 'days':
-            cdatetime = self.rdatetime + relativedelta(days=tim)
-        elif self.what == 'hours':
-            cdatetime = self.rdatetime + relativedelta(hours=tim)
-        elif self.what == 'minutes':
-            cdatetime = self.rdatetime + relativedelta(minutes=tim)
-        elif self.what == 'seconds':
-            cdatetime = self.rdatetime + relativedelta(seconds=tim)
-
-        return cdatetime
-
-    def generate_contour_tstep_trace_leaflet(self, varname, tstep=0):
-        """ Generate trace to be added to data, per variable and timestep """
-        from dash_server import app
-
-        if varname not in VARS and self.model in OBS:
-            name = VARS[OBS[self.model]['mod_var']]['name']
-        else:
-            name = VARS[varname]['name']
-        if self.bounds:
-            bounds = self.bounds[varname.upper()]
-        else:
-            bounds = [0, 1]
-        if self.model in OBS:
-            data_path = os.path.basename(OBS[self.model]['path'][:-1])
-        else:
-            data_path = os.path.basename(MODELS[self.model]['path'])
-
-        if DEBUG: print(data_path)
-        colorscale = COLORS
-
-        geojson_url = app.get_asset_url(os.path.join('geojsons',
-            GEOJSON_TEMPLATE.format(data_path,
-                self.selected_date_plain, tstep, self.selected_date_plain,
-                varname)))
-        if DEBUG: print("MODEL", self.model, "GEOJSON_URL", geojson_url)
-
-        style = dict(weight=0, opacity=0, color='white', dashArray='', fillOpacity=OPACITY)
-
-        # Create colorbar.
-        ctg = ["{:d}".format(int(cls)) if cls.as_integer_ratio()[1] == 1 else "{:.1f}".format(cls) for i, cls in enumerate(bounds[1:-1])]
-        if DEBUG: print("BOUNDS", bounds)
-        if DEBUG: print("CTG", ctg)
-        indices = list(range(len(ctg) + 2))
-        colorbar = dl.Colorbar(
-                min=0, max=len(ctg)+1,
-                classes=indices,
-                colorscale=colorscale,
-                tickValues=indices[1:-1],
-                tickText=ctg,
-                position='topleft',
-                width=270,
-                height=15,
-                style={ 'top': '55px' }
-                )
-
-        # Geojson rendering logic, must be JavaScript as it is executed in clientside.
-        ns = Namespace("forecastTab", "forecastMaps")
-        style_handle = ns("styleHandle")
-
-        geojson = dl.GeoJSON(
-                url=geojson_url,
-                options=dict(style=style_handle),
-                hideout=dict(colorscale=colorscale, bounds=bounds, style=style, colorProp="value")
-                )  # url to geojson file
-
-        return geojson, colorbar
-
-
-    def generate_contour_tstep_trace(self, varname, tstep=0):
-        """ Generate trace to be added to data, per variable and timestep """
-        from dash_server import app
-
-        geojson_file = GEOJSON_TEMPLATE.format(self.filedir,
-                self.selected_date_plain, tstep, self.selected_date_plain, varname)
-
-        if os.path.exists(geojson_file):
-            geojson = orjson.loads(open(geojson_file).read())
-        else:
-            if DEBUG: print('ERROR', geojson_file, 'not available')
-            geojson = {
-                    "type": "FeatureCollection",
-                    "features": []
-                    }
-
-        if varname not in VARS and self.model in OBS:
-            name = VARS[OBS[self.model]['mod_var']]['name']
-        else:
-            name = VARS[varname]['name']
-        # if DEBUG: print(self.bounds)
-        if self.bounds:
-            bounds = self.bounds[varname.upper()]
-        else:
-            bounds = [0, 1]
-        loc_val = [
-            (
-                feature['id'],
-                np.around(feature['properties']['value'], 2),
-            )
-            for feature in geojson['features']
-            if feature['geometry']['coordinates']
-        ]
-        locations, values = np.array(loc_val).T if loc_val else ([], [])
-        # if DEBUG: print(varname, self.colormaps[varname], values)
-        return dict(
-            type='choroplethmapbox',
-            name=name+'_contours',
-            geojson=geojson,
-            z=values,
-            ids=locations,
-            locations=locations,
-            zmin=bounds[0],
-            zmax=bounds[-1],
-            colorscale=self.colormaps[varname.upper()],
-            showscale=False,
-            showlegend=False,
-            hoverinfo='none',
-            marker=dict(
-                opacity=0.6,
-                line_width=0,
-            ),
-            colorbar=None,
-        )
-
-    def generate_var_tstep_trace_leaflet(self, varname=None, tstep=0):
-        """ Generate trace to be added to data, per variable and timestep """
-        colorscale = COLORS
-        xlon, ylat, val = self.set_data(varname, tstep)
-        df = pd.DataFrame(np.array([xlon, ylat, val]).T.round(2), columns=['lon', 'lat', 'value'])
-        dicts = df.to_dict('rows')
-        for item in dicts:
-            item["tooltip"] = \
-                    "Lat {:.2f} Lon {:.2f} Val {:.2f}".format(item['lat'], item['lon'], item['value'])
-        geojson = dlx.dicts_to_geojson(dicts, lon="lon")
-        # geobuf = dlx.geojson_to_geobuf(geojson)
-
-        if DEBUG: print("GEOBUF CREATED ***********")
-        # Geojson rendering logic, must be JavaScript as it is executed in clientside.
-        ns = Namespace("forecastTab", "forecastMaps")
-        point_to_layer = ns("pointToLayer")
-        bind_tooltip = ns("bindTooltip")
-        if DEBUG: print("BIND", str(bind_tooltip))
-        # Create geojson.
-        # return dl.GeoJSON(data=geobuf, format="geobuf",
-        return dl.GeoJSON(data=geojson,
-                options=dict(
-                    pointToLayer=point_to_layer,
-                    # onEachFeature=bind_tooltip,
-                ),  # how to draw points
-                hideout=dict(
-                    colorProp='value',
-                    circleOptions=dict(
-                        fillOpacity=0,
-                        stroke=False,
-                        radius=0),
-                    min=0,
-                    max=val.max(),
-                    colorscale=colorscale)
-                )
-        
-
-    def generate_var_tstep_trace(self, varname=None, tstep=0):
-        """ Generate trace to be added to data, per variable and timestep """
-        if not varname:
-            return dict(
-                type='scattermapbox',
-                # below='',
-                lon=[15],
-                lat=[30],
-                hoverinfo='none',
-                opacity=0,
-                showlegend=False,
-                marker=dict(
-                    showscale=False,
-                    size=0,
-                    colorbar=None,
-                ),
-            )
-        xlon, ylat, val = self.set_data(varname, tstep)
-        if self.model in OBS:
-            name = OBS[self.model]['name']
-        else:
-            name = MODELS[self.model]['name']
-        if DEBUG: print("***", name, "***")
-        return dict(
-            type='scattermapbox',
-            # below='',
-            lon=xlon,
-            lat=ylat,
-            text=val,
-            name=name,
-            hovertemplate="lon: %{lon:.2f}<br>lat: %{lat:.2f}<br>" +
-            "value: %{text:.2f}",
-            opacity=OPACITY,
-            showlegend=False,
-            marker=dict(
-                # autocolorscale=True,
-                showscale=False,
-                color=val,
-                # opacity=0.6,
-                size=0,
-                colorscale=self.colormaps[varname.upper()],
-                cmin=self.bounds[varname.upper()][0],
-                cmax=self.bounds[varname.upper()][-1],
-                colorbar=None,
-            ),
-        )
-
-    def get_title(self, varname, tstep=0):
-        """ return title according to the date """
-        if self.model in OBS:
-            name = OBS[self.model]['name']
-            title = OBS[self.model]['title']
-        else:
-            name = MODELS[self.model]['name']
-            title = VARS[varname]['title']
-        rdatetime = self.retrieve_cdatetime(tstep=0)
-        cdatetime = self.retrieve_cdatetime(tstep)
-        return r'{} {}'.format(name, title % {
-            'rhour':  rdatetime.strftime("%H"),
-            'rday':   rdatetime.strftime("%d"),
-            'rmonth': rdatetime.strftime("%b"),
-            'ryear':  rdatetime.strftime("%Y"),
-            'shour':  cdatetime.strftime("%H"),
-            'sday':   cdatetime.strftime("%d"),
-            'smonth': cdatetime.strftime("%b"),
-            'syear':  cdatetime.strftime("%Y"),
-            'step':   "{:02d}".format(tstep*FREQ),
-        })
-
-    def hour_to_step(self, hour):
-        """ Convert hour to relative tstep """
-        cdatetime = self.rdatetime.date() + relativedelta(hours=hour)
-
-        for step in range(len(self.tim)):
-            if self.retrieve_cdatetime(step) == cdatetime:
-                return step
-
-        return 0
-
-    def retrieve_var_tstep(self, varname=None, tstep=0, hour=None, static=True, aspect=(1,1), center=None, selected_tiles='carto-positron', zoom=None, layer=None, tag='empty'):
-        """ run plot """
-
-        if hour is not None:
-            tstep = int(self.hour_to_step(hour))
-        else:
-            tstep = int(tstep)
-
-        if varname is not None and self.model in OBS:
-            varname = OBS[self.model]['obs_var']
-
-        if DEBUG: print('VARNAME', varname)
-
-        if varname and self.filedir:
-            if DEBUG: print('Adding contours ...')
-            try:
-                cont_time = time.time()
-                geojson_contours, colorbar = self.generate_contour_tstep_trace_leaflet(varname, tstep)
-                if DEBUG: print("****** CONTOURS EXEC TIME", str(time.time() - cont_time))
-            except Exception as err:
-                if DEBUG: print("----------- ERROR:", str(err))
-                self.filedir = None
-                # if DEBUG: print('ERROR: geojson {}'.format(geojson_url))
-                geojson_contours = None
-                colorbar = None
-        else:
-            if DEBUG: print('Adding one point ...')
-            geojson_contours = None
-            colorbar = None
-
-        if DEBUG: print("ASPECT", aspect)
-        if center is None:
-            center = self.get_center(center)
-        if zoom is None:
-            zoom = 3.5 -(aspect[0]-aspect[0]*0.4)
-        if colorbar is not None:
-            colorbar.width = 320 - 15 * aspect[0]
-            colorbar.style = {'overflow':'hidden', 'white-space':'nowrap'}
-            if aspect == (3,4):
-                colorbar.width = 320 - 38 * aspect[0]
-            colorbar.height = 8
-        if DEBUG: print("ZOOM", zoom)
-        if DEBUG: print("CENTER", center)
-
-
-        if DEBUG: print('Update layout ...')
-        if not varname:
-            fig_title=html.P("")
-        elif varname and not self.filedir:
-            if self.model in MODELS:
-                curr_name = MODELS[self.model]['name']
-            elif self.model in OBS:
-                curr_name = OBS[self.model]['name']
-            else:
-                curr_name = ''
-
-            fig_title = html.P(html.B("{} - DATA NOT AVAILABLE".format(curr_name)))
-        else:
-            fig_title = html.P(html.B(
-                [
-                    item for sublist in self.get_title(varname, tstep).split('<br>') for item in [sublist, html.Br()]
-                ][:-1]
-            ))
-        if self.model is not None:
-            CUR_INFO_STYLE = INFO_STYLE.copy()
-            if colorbar is not None:
-                CUR_INFO_STYLE['width'] = str(colorbar.width) + "px"
-                #add sconc_info class to tilt colorbar values so they won't overlap
-                if varname == "SCONC_DUST": colorbar.className = 'sconc_info'
-            if aspect[0] > 2:
-                CUR_INFO_STYLE['fontSize'] = "{}px".format(int(INFO_STYLE['fontSize'][:-2])-aspect[0]+ 0.3)
-            info = html.Div(
-                children=fig_title,
-                id="{}-info".format(self.model),
-                className="info",
-                style=CUR_INFO_STYLE
-            )
-        else:
-            info = None
-            
-        if isinstance(self.model, str):
-            curr_index = self.model
-        else:
-            curr_index = str(self.model)
-
-        tag_template_tile = "{}-tile-layer"
-        tag_template_map = "{}-map"
-
-        if self.model in MODELS:
-            curr_tag = 'model'
-        else:
-            curr_tag = isinstance(tag, str) and tag or str(tag)
-
-        if not isinstance(layer, list):
-            layer = [layer]
-
-        if DEBUG: print("********* TAG", tag, "CURR_TAG", curr_tag)
-        fig = dl.Map(children=[
-            dl.TileLayer(
-                id=dict(
-                    tag=tag_template_tile.format(curr_tag),
-                    index=curr_index
-                ),
-                url=STYLES[selected_tiles]['url'],
-                attribution=STYLES[selected_tiles]['attribution']
-            ),
-            dl.FullscreenControl(
-                position='topright',
-            ),
-            geojson_contours,
-            colorbar,
-            info
-            ] + layer,
-            zoomSnap=0.1,
-            zoom=zoom,
-            wheelPxPerZoomLevel=120,
-            wheelDebounceTime=80,
-            center=center,
-            id=dict(
-                tag=tag_template_map.format(curr_tag),
-                index=curr_index
-                ),
-            inertia=True,
-            preferCanvas=True,
-            animate=False,
-            minZoom=2,
-            #className="graph-with-slider",
-        )
-        # if DEBUG: print("---", fig)
-        if DEBUG: print("*** FIGURE EXECUTION TIME: {} ***".format(str(time.time() - self.st_time)))
-        return fig
-
-
-class ScoresFigureHandler(object):
-    """ Class to manage the figure creation """
-
-    def __init__(self, network, statistic, selection=None):
-
-        if network == 'aeronet':
-            self.sites = pd.read_csv(os.path.join('./conf/',
-                OBS[network]['sites']))
-#             self.sites = pd.read_table(os.path.join('./conf/',
-#                 OBS[network]['sites']), delimiter=r"\s+", engine='python')
-            self.size = 15
-        else:
-            self.sites = None
-            self.size = 7
-
-        network_name = OBS[network]['name']
-        filedir = OBS[network]['path']
-        filename = "{}_{}.h5".format(selection, statistic)
-        tab_name = "{}_{}".format(statistic, selection)
-        filepath = os.path.join(filedir, "h5", filename)
-        if DEBUG: print('SCORES filepath', filepath, 'SELECTION', selection, 'TAB', tab_name)
-        self.dframe = pd.read_hdf(filepath, tab_name)  # .replace('_', ' ', regex=True)
-
-        months = ' - '.join([datetime.strptime(sel, '%Y%m').strftime("%B %Y") for sel in selection.split('-')])
-
-        self.title = """{model} - {network_name} {score}<br>{selection}""".format(
-                score=STATS_CONF[statistic]['name'], network_name=network_name, model='{model}', selection=months)
-        self.xlon = np.array([-27, 60])
-        self.ylat = np.array([0, 67])
-        self.stat = statistic
-
-    def get_mapbox(self, style='carto-positron', relayout=False, zoom=2.8, center=None):
-        """ Returns mapbox layout """
-        if center is None and hasattr(self, 'ylat'):
-            center = go.layout.mapbox.Center(
-                lat=(self.ylat.max()-self.ylat.min())/2 +
-                self.ylat.min(),
-                lon=(self.xlon.max()-self.xlon.min())/2 +
-                self.xlon.min(),
-            )
-        elif center is not None:
-            center = go.layout.mapbox.Center(center)
-        else:
-            center = go.layout.mapbox.Center({'lat': 30, 'lon': 15})
-        mapbox_dict = dict(
-            uirevision=True,
-            style=style,
-            bearing=0,
-            center=center,
-            pitch=0,
-            zoom=zoom
-        )
-
-        if not relayout:
-            return mapbox_dict
-
-        return dict(
-            args=["mapbox", mapbox_dict],
-            label=STYLES[style].capitalize(),
-            method="relayout"
-        )
-
-    def generate_trace(self, xlon, ylat, stats, vals):
-        """ Generate trace to be added to data, per variable and timestep """
-        if stats is None:
-            hovertemplate="lon: %{lon:.2f}<br>lat: %{lat:.2f}<br>value: %{text}"
-        else:
-            hovertemplate="lon: %{lon:.2f}<br>lat: %{lat:.2f}<br>value: %{text}<br>station: %{customdata}"
-        name = '{} score'.format(STATS_CONF[self.stat]['name'])
-        return dict(
-            type='scattermapbox',
-            lon=xlon,
-            lat=ylat,
-            text=vals,
-            customdata=stats,
-            name=name,
-            hovertemplate=hovertemplate,
-            opacity=0.8,
-            mode='markers',
-            showlegend=False,
-            marker=dict(
-                showscale=True,
-                # colorscale=STATS_CONF[self.stat]['cmap'],
-                colorscale=get_colorscale(np.array(STATS_CONF[self.stat]['bounds']), STATS_CONF[self.stat]['cmap']),
-                cmax=STATS_CONF[self.stat]['max'],
-                cmin=STATS_CONF[self.stat]['min'],
-                cmid=STATS_CONF[self.stat]['mid'],
-                color=vals,
-                size=self.size,
-                colorbar=dict(
-                    x=0.94,
-                    y=0.45,
-                    len=0.9,
-                    tickmode='array',
-                    tickvals=np.array(STATS_CONF[self.stat]['bounds']),
-                    thickness=20,
-                )
-            ),
-        )
-
-    def retrieve_scores(self, model, aspect=(1,1), center=None):
-        """ run plot """
-        
-        data_available=''
-        if self.sites is not None:
-            stations = [st for st in self.sites['SITE']]
-            for site in stations:
-                self.dframe.loc[self.dframe['station'] == site, 'lon'] = \
-                    str(self.sites.loc[self.sites['SITE'] == site, 'LONGITUDE'].values[0].round(2))
-                self.dframe.loc[self.dframe['station'] == site, 'lat'] = \
-                    str(self.sites.loc[self.sites['SITE'] == site, 'LATITUDE'].values[0].round(2))
-        if DEBUG and self.sites is not None: print('BEFORE', model, '\n', self.dframe[['lon', 'lat', 'station', model]].to_markdown())
-        self.dframe = self.dframe.replace('-', np.nan)
-        if DEBUG and self.sites is not None: print('AFTER', model, '\n', self.dframe[['lon', 'lat', 'station', model]].to_markdown())
-        # self.dframe.dropna(inplace=True)
-        if DEBUG: print('DATAFRAME', self.dframe, model)
-        self.fig = go.Figure(go.Scattermapbox())
-        if self.sites is not None and model in self.dframe.columns:
-            if DEBUG: print('DATA FOR MODEL', model, '\n', self.dframe[['lon', 'lat', 'station', model]].to_markdown())
-            if DEBUG: print('DATA FOR MODEL', model, '\n', self.dframe[['lon', 'lat', 'station', model]].dropna().to_markdown())
-            xlon, ylat, stats, vals = self.dframe[['lon', 'lat', 'station', model]].dropna().values.T
-            if DEBUG: print('Adding SCORES points ...', xlon, ylat, vals)
-            self.fig.add_trace(self.generate_trace(xlon.astype(float), ylat.astype(float), stats, vals.astype(float)))
-            if not vals.any(): data_available='<br>NO DATA AVAILABLE'
-
-        elif model in self.dframe.columns:
-            xlon, ylat, vals = self.dframe[['lon', 'lat', model]].dropna().values.T
-            stats = None
-            if DEBUG: print('Adding SCORES points ...', xlon, ylat, vals)
-            self.fig.add_trace(self.generate_trace(xlon.astype(float), ylat.astype(float), stats, vals.astype(float)))
-            if not vals.any(): data_available='<br>NO DATA AVAILABLE'
-
-        else:
-            data_available='<br>NO DATA AVAILABLE'
-
-        if DEBUG: print('Update layout ...', self.title.format(model=MODELS[model]['name']))
-        fig_title=dict(text='{} {}'.format(self.title.format(model=MODELS[model]['name']), data_available),
-                       xanchor='left',
-                       yanchor='top',
-                       x=0.01, y=0.95)
-
-        self.fig.update_layout(
-            title=fig_title,
-            uirevision=True,
-            autosize=True,
-            hovermode="closest",        # highlight closest point on hover
-            mapbox=self.get_mapbox(zoom=2.8-(0.5*aspect[0]), center=center),
-            font_size=12-(0.5*aspect[0]),
-            # width="100%",
-            legend=dict(
-                x=0.01,
-                y=0.9,
-                bgcolor="rgba(0,0,0,0)"
-            ),
-            margin={"r": 0, "t": 0, "l": 0, "b": 0},
-        )
-
-        # if DEBUG: print('Returning fig of size {}'.format(sys.getsizeof(self.fig)))
-        return self.fig
-
-
-class VisFigureHandler(object):
-    """ Class to manage the figure creation """
-
-    def __init__(self, selected_date=None):
-
-        self.path_tpl = '/data/daily_dashboard/obs/visibility/{year}/{month}/{year}{month}{day}{tstep0:02d}{tstep1:02d}_visibility.csv'
-        self.title = ["Visibility reduced by airborne dust", html.Br(), "{date} {tstep0:02d}-{tstep1:02d} UTC"]
-        self.xlon = np.array([-25, 60])
-        self.ylat = np.array([0, 65])
-        self.ec = 'none'
-        self.size = 80
-        self.freq = 6
-        self.colors = ('#714921', '#da7230', '#fcd775', 'CadetBlue')
-        self.labels = ("< 1 km", "1 - 2 km", "2 - 5 km", "Haze < 5 km")
-        self.values = (0, 1, 2, 3)
-        self.markers = ('o', 'o', 'o', '^')
-
-        if selected_date:
-            self.selected_date_plain = selected_date
-
-            self.selected_date = datetime.strptime(
-                selected_date, "%Y%m%d").strftime("%Y-%m-%d")
-        else:
-            self.selected_date_plain = None
-            self.selected_date = None
-
-    def set_data(self, tstep=0):
-        """ Set time dependent data """
-        tstep0 = tstep
-        tstep1 = tstep + self.freq
-
-        year = datetime.strptime(self.selected_date_plain, '%Y%m%d').strftime('%Y')
-        month = datetime.strptime(self.selected_date_plain, '%Y%m%d').strftime('%m')
-        day = datetime.strptime(self.selected_date_plain, '%Y%m%d').strftime('%d')
-
-        filepath = self.path_tpl.format(year=year, month=month, day=day, tstep0=tstep0, tstep1=tstep1)
-        if DEBUG: print("VIS FILEPATH", filepath)
-        if not os.path.exists(filepath):
-            return [], [], [], [], [], ()
-
-        data = pd.read_table(filepath, na_filter=False)
-
-        # uncertain
-        cx = np.where((data['WW'].astype(str) == "HZ") | (data['WW'].astype(str) == "5")| (data['WW'].astype(str) == "05"))
-
-        # vis <= 1km
-        c0t = np.where((data['VV'] <= 1000))[0]
-        c0x = np.where([c0t == i for i in cx[0]])[-1]
-        c0 = (np.delete(c0t, c0x),)
-
-        # vis 1km <= 2km
-        c1t = np.where((data['VV'] > 1000) & (data['VV'] <= 2000))[0]
-        c1x = np.where([c1t == i for i in cx[0]])[-1]
-        c1 = (np.delete(c1t, c1x),)
-
-        # vis 2km <= 5km
-        c2t = np.where((data['VV'] > 2000) & (data['VV'] <= 5000))[0]
-        c2x = np.where([c2t == i for i in cx[0]])[-1]
-        c2 = (np.delete(c2t, c2x),)
-
-        xlon = data['LON'].values
-        ylat = data['LAT'].values
-        stats = data['STATION'].values
-
-        visibility = 'VV' in data and data['VV']
-        humidity = 'HUMIDITY' in data and data['HUMIDITY']
-
-        if DEBUG: print("VIS DATA", xlon, ylat, stats, (c0, c1, c2, cx))
-        return xlon, ylat, stats, visibility, humidity, (c0, c1, c2, cx)
-
-    def generate_var_tstep_trace(self, xlon, ylat, stats, visibility, humidity, value, color, label, marker, tstep=0):
-        """ Generate trace to be added to data, per variable and timestep """
-        name = 'visibility {}'.format(label)
-
-        legend = []
-        res = np.zeros((len(xlon)))
-        for i, (val, lab) in enumerate(zip(value, label)):
-            # assign a value from 0 to 3 to the different
-            res[val] = i
-            leg = html.Div([
-                    html.Span(
-                        "",
-                        className="vis-legend-point",
-                        style={
-                            'backgroundColor': self.colors[i],
-                            }
-                        ),
-                    html.Span(
-                        lab,
-                        className="vis-legend-label",
-                        )
-                    ],
-                    style={ 'display': 'block' })
-            legend.append(leg)
-
-        legend = html.Div(
-                legend,
-                className="vis-legend"
-            )
-
-        if DEBUG:
-            print('VIS ___', xlon, ylat, '\n*********', visibility, '\n*********', humidity)
-        df = pd.DataFrame({
-            'lon': np.array(xlon).round(2),
-            'lat': np.array(ylat).round(2),
-            'stat': stats,
-            'visibility': visibility,
-            'humidity': humidity,
-            'value': res
-            })
-        dicts = df.to_dict('rows')
-        for item in dicts:
-            if DEBUG:
-                print("-------------", item, "-----------------")
-            item["tooltip"] = \
-                    """<span class='popup-map-body'>
-                    <b>{station}</b>
-                    <br>LAT: <b>{lat}</b> LON: <b>{lon}</b>
-                    <br>VISIBILITY: <b>{visibility:.1f} km</b>
-                    {humidity}
-                    </span>""".format(
-                            lat=item['lat'],
-                            lon=item['lon'],
-                            station=item['stat'],
-                            visibility=float(item['visibility']/1e3),
-                            humidity=(item['humidity'] not in (False, '') and "<br>RELATIVE HUMIDITY: <b>{}%</b>".format(int(float(item['humidity']))) or '')
-                            )
-
-        geojson = dlx.dicts_to_geojson(dicts, lon="lon")
-        ns = Namespace("observationsTab", "observationsMaps")
-        point_to_layer = ns("pointToLayer")
-        geojson = dl.GeoJSON(data=geojson,
-                options=dict(
-                    pointToLayer=point_to_layer,
-                ),
-                hideout=dict(
-                    colorProp='value',
-                    colorscale=self.colors,
-                    circleOptions=dict(
-                        fillOpacity=OPACITY,
-                        stroke=False,
-                        #fillColor='#f0b450',
-                        radius=8),
-                )
-            )
-        
-        if list(visibility):
-            cur_title = self.get_title(tstep)
-        else:
-            cur_title = self.get_title()
-
-        info = html.Div(
-            children=cur_title,
-            id="vis-info",
-            className="info",
-            style=INFO_STYLE
-        )
-        return df, [geojson, info, legend]
-
-    def get_title(self, tstep=None):
-        """ return title according to the date """
-        if tstep is None:
-            return ["NO DATA AVAILABLE"]
-        tstep0 = tstep
-        tstep1 = tstep + self.freq
-        fdate = datetime.strptime(self.selected_date_plain, '%Y%m%d').strftime('%d %B %Y')
-        return [tit.format(date=fdate, tstep0=tstep0, tstep1=tstep1)
-                if isinstance(tit, str) else tit for tit in self.title]
-
-    def retrieve_var_tstep(self, tstep=0, hour=None, static=True, aspect=(1,1), center=None):
-        """ run plot """
-
-        tstep = int(tstep)
-
-        xlon, ylat, stats, visibility, humidity, vals = self.set_data(tstep)
-        if tstep is not None:
-            return self.generate_var_tstep_trace(xlon, ylat, stats, visibility, humidity, vals, self.colors, self.labels, self.markers, tstep)
-        if DEBUG: print('Adding one point ...')
-        return None
-
-
-class ProbFigureHandler(object):
-    """ Class to manage the figure creation """
-
-    def __init__(self, var=None, prob=None, selected_date=None):
-        """ Initialization with variable, prob and date """
-
-        if var is None:
-            var = DEFAULT_VAR
-
-        self.varname = var
-
-        probs = PROB[var]['prob_thresh']
-        if prob is None:
-            prob = probs[0]
-
-        self.bounds = np.arange(0, 110, 10)
-
-        self.prob = prob
-
-        geojson_path = PROB[var]['geojson_path']
-        geojson_file = PROB[var]['geojson_template']
-        netcdf_path = PROB[var]['netcdf_path']
-        netcdf_file = PROB[var]['netcdf_template']
-
-        self.geojson = os.path.join(geojson_path, geojson_file).format(prob=prob, date=selected_date, var=var)
-        self.filepath = os.path.join(netcdf_path, netcdf_file).format(prob=prob, date=selected_date, var=var)
-
-        if os.path.exists(self.filepath):
-            self.input_file = nc_file(self.filepath)
-
-            if 'lon' in self.input_file.variables:
-                lon = self.input_file.variables['lon'][:]
-                lat = self.input_file.variables['lat'][:]
-            else:
-                lon = self.input_file.variables['longitude'][:]
-                lat = self.input_file.variables['latitude'][:]
-            time_obj = self.input_file.variables['time']
-            self.tim = time_obj[:]
-            tim_units = time_obj.units.split()
-            if len(tim_units) == 3:
-                self.what, _, rdate = tim_units
-                rtime = "00:00"
-            elif len(tim_units) >= 4:
-                self.what, _, rdate, rtime = tim_units[:4]
-            if len(rtime) > 5:
-                rtime = rtime[:5]
-            self.rdatetime = datetime.strptime("{} {}".format(rdate, rtime),
-                                               "%Y-%m-%d %H:%M")
-            varlist = [var for var in self.input_file.variables if var in VARS]
-            self.xlon, self.ylat = np.meshgrid(lon, lat)
-
-        if selected_date:
-            self.selected_date_plain = selected_date
-
-            self.selected_date = datetime.strptime(
-                selected_date, "%Y%m%d").strftime("%Y-%m-%d")
-
-        self.fig = None
-
-    def set_data(self, varname, tstep=0):
-        """ Set time dependent data """
-        mul = 1  # VARS[varname]['mul']
-        var = self.input_file.variables[varname][tstep]*mul
-        idx = np.where(var.ravel() >= VARS[varname]['bounds'][0])  # !=-9.e+33)
-        xlon = self.xlon.ravel()[idx]
-        ylat = self.ylat.ravel()[idx]
-        var = var.ravel()[idx]
-
-        return xlon, ylat, var
-
-    def retrieve_cdatetime(self, tstep=0):
-        """ Retrieve data from NetCDF file """
-        if DEBUG: print("----------", tstep, self.tim)
-        tim = int(self.tim[tstep])
-        if self.what == 'days':
-            cdatetime = self.rdatetime + relativedelta(days=tim)
-        elif self.what == 'hours':
-            cdatetime = self.rdatetime + relativedelta(hours=tim)
-        elif self.what == 'minutes':
-            cdatetime = self.rdatetime + relativedelta(minutes=tim)
-        elif self.what == 'seconds':
-            cdatetime = self.rdatetime + relativedelta(seconds=tim)
-
-        return cdatetime
-
-    def generate_contour_tstep_trace(self, varname, tstep=0):
-        """ Generate trace to be added to data, per variable and timestep """
-        from dash_server import app
-        if varname is None:
-            varname = self.varname
-
-        if DEBUG: print("##############", tstep)
-
-        geojson_file = self.geojson.format(step=tstep)
-        geojson_url = app.get_asset_url(geojson_file.replace('/data/daily_dashboard', 'geojsons'))
-
-        name = VARS[varname]['name']
-        bounds = self.bounds
-        colorscale = COLORS_PROB
-
-        if DEBUG: print("GEOJSON_URL", geojson_url)
-
-        style = dict(weight=0, opacity=0, color='white', dashArray='', fillOpacity=OPACITY)
-
-        # Create colorbar.
-        ctg = ["{:.1f}".format(cls) if '.' in str(cls) else "{:d}".format(cls)
-                for i, cls in enumerate(bounds)]
-        indices = list(range(len(ctg)))
-        colorbar = dl.Colorbar(
-                min=-.1, max=len(ctg)-.7,
-                classes=indices,
-                colorscale=colorscale,
-                tickValues=indices,
-                tickText=ctg,
-                position='topleft',
-                width = 330,
-                height=8,
-                style={ 'top': '65px','overflow':'hidden', 'white-space':'nowrap'}
-                )
-
-        # Geojson rendering logic, must be JavaScript as it is executed in clientside.
-        ns = Namespace("forecastTab", "forecastMaps")
-        style_handle = ns("styleHandle")
-
-        geojson = dl.GeoJSON(
-                url=geojson_url,
-                options=dict(style=style_handle),
-                hideout=dict(colorscale=colorscale, bounds=bounds, style=style, colorProp="value")
-                )  # url to geojson file
-
-        return geojson, colorbar
-
-    def get_title(self, varname, tstep=0):
-        """ return title according to the date """
-        # tstep += 1
-        rdatetime = self.rdatetime
-        cdatetime = self.retrieve_cdatetime(tstep)
-
-        mod_avail = 0
-        for model in MODELS:
-            if model == 'median':
-                continue
-            path_template = '{}{}.nc'.format(rdatetime.strftime("%Y%m%d"), MODELS[model]['template'])
-            fpath = os.path.join(MODELS[model]['path'], 'netcdf', path_template)
-            if os.path.exists(fpath):
-                mod_avail += 1
-
-        return PROB[varname]['title'].format(
-            prob=self.prob,
-            members=mod_avail,
-            rday=rdatetime.strftime("%d"),
-            rmonth=rdatetime.strftime("%b"),
-            ryear=rdatetime.strftime("%Y"),
-            sday=cdatetime.strftime("%d"),
-            smonth=cdatetime.strftime("%b"),
-            syear=cdatetime.strftime("%Y"),
-        )
-
-    def retrieve_var_tstep(self, varname=None, day=0, static=True, aspect=(1,1)):
-        """ run plot """
-        tstep = int(day)
-        if varname is None:
-            varname = self.varname
-        if DEBUG: print("***", varname, day, static, self.geojson, self.filepath)
-
-        geojson = colorbar = None
-
-        if varname and os.path.exists(self.geojson.format(step=day)):
-            if DEBUG: print('Adding contours ...')
-            geojson, colorbar = self.generate_contour_tstep_trace(varname, tstep)
-        if varname and os.path.exists(self.filepath) and static:
-            if DEBUG: print('Adding points ...')
-        elif varname is None or not os.path.exists(self.filepath):
-            if DEBUG: print('Adding one point ...')
-
-        if DEBUG: print('Update layout ...')
-        if not varname:
-            if DEBUG: print('ONE')
-            fig_title = ''
-        elif varname and not os.path.exists(self.filepath):
-            if DEBUG: print('TWO')
-            fig_title = html.P(html.B("DATA NOT AVAILABLE"))
-        else:
-            if DEBUG: print('THREE')
-            fig_title = html.P(html.B(
-                [
-                    item for sublist in self.get_title(varname, tstep).split('<br>') for item in [sublist, html.Br()]
-                ][:-1]
-            ))
-
-        info = html.Div(
-            children=fig_title,
-            id="prob-info",
-            className="info",
-            style=INFO_STYLE
-        )
-        return geojson, colorbar, info
-
-
-class WasFigureHandler(object):
-    """ Class to manage the figure creation """
-
-    def __init__(self, was='burkinafaso', model='median', variable='SCONC_DUST', selected_date=None):
-        """ Initialize WasFigureHandler with shapefile and netCDF data """
-        self.model = model
-        self.was = was
-        self.variable = variable
-
-        if self.model and selected_date:
-            # read nc file
-            if DEBUG: print("MODEL", model)
-            filepath = NETCDF_TEMPLATE.format(
-                MODELS[self.model]['path'],
-                selected_date,
-                MODELS[self.model]['template']
-            )
-
-            if os.path.exists(filepath):
-                self.input_file = nc_file(filepath)
-                time_obj = self.input_file.variables['time']
-                self.tim = time_obj[:]
-                tim_units = time_obj.units.split()
-                if len(tim_units) == 3:
-                    self.what, _, rdate = tim_units
-                    rtime = "00:00"
-                elif len(tim_units) >= 4:
-                    self.what, _, rdate, rtime = tim_units[:4]
-                if len(rtime) > 5:
-                    rtime = rtime[:5]
-                self.rdatetime = datetime.strptime("{} {}".format(rdate, rtime),
-                                                   "%Y-%m-%d %H:%M")
-        else:
-            self.input_file = None
-
-        if selected_date:
-            self.selected_date_plain = selected_date
-
-            self.selected_date = datetime.strptime(
-                selected_date, "%Y%m%d").strftime("%Y-%m-%d")
-
-        self.fig = None
-
-    def get_regions_data(self, day=0):
-        input_dir = WAS[self.was]['path'].format(was=self.was, format='h5', date=self.selected_date_plain)
-        input_file = WAS[self.was]['template'].format(date=self.selected_date_plain, var=self.variable, format='h5')
-
-        input_path = os.path.join(input_dir, input_file)
-
-        if DEBUG: print("INPUT PATH", input_path, self.selected_date_plain)
-        if not os.path.exists(input_path):
-            return [], [], []
-
-        df = pd.read_hdf(input_path, 'was_{}'.format(self.selected_date_plain)).set_index('day')
-
-        names, colors, definitions = df.loc['Day{}'.format(day)].values.T
-        return names, colors, definitions
-
-    def get_geojson_url(self, day=0):
-        from dash_server import app
-        geojsons_dir = WAS[self.was]['path'].format(was=self.was, format='geojson', date=self.selected_date_plain)
-        geojson_file = WAS[self.was]['template'].format(date=self.selected_date_plain, var=self.variable, format='geojson').replace('.geojson', '_{}.geojson'.format(day))
-        geojson_filepath = os.path.join(geojsons_dir, geojson_file)
-        if not os.path.exists(geojson_filepath):
-            if DEBUG: print("ERROR: WAS GEOJSON URL", geojson_filepath)
-            return None
-
-        pathlist = os.path.normpath(geojsons_dir).split(os.sep)
-        geojsons_dir_cleaned = os.sep.join(pathlist[pathlist.index('was'):])
-
-        geojson_path = os.path.join(geojsons_dir_cleaned, geojson_file)
-        geojson_url = app.get_asset_url(os.path.join('geojsons', geojson_path))
-
-        if DEBUG: print("WAS GEOJSON URL", geojson_url)
-
-        return geojson_url
-
-    def retrieve_cdatetime(self, tstep=0):
-        tim = int(self.tim[tstep])
-        """ Retrieve data from NetCDF file """
-        if self.what == 'days':
-            cdatetime = self.rdatetime + relativedelta(days=tim)
-        elif self.what == 'hours':
-            cdatetime = self.rdatetime + relativedelta(hours=tim)
-        elif self.what == 'minutes':
-            cdatetime = self.rdatetime + relativedelta(minutes=tim)
-        elif self.what == 'seconds':
-            cdatetime = self.rdatetime + relativedelta(seconds=tim)
-
-        return cdatetime
-
-    def generate_contour_tstep_trace(self, day=0):
-        """ Generate trace to be added to data, per variable and timestep """
-
-        if not hasattr(self, 'was'):
-            return None, None
-
-        names, colors, definitions = self.get_regions_data(day=day)
-        colors = np.array(colors)
-        if DEBUG: print("::::::::::", names, colors, definitions)
-        style = dict(weight=1, opacity=1, color='white', dashArray='3', fillOpacity=OPACITY)
-
-        # Create colorbar.
-        colormap = WAS[self.was]['colors']
-
-        legend = []
-        # res = np.zeros(len(colormap))
-        # if DEBUG: print("^^^^^", colormap)
-        for color_idx, (color, definition) in enumerate(colormap.items()):
-            # assign a value from 0 to 3 to the different
-            leg = html.Div([
-                    html.Span(
-                        "",
-                        className="was-legend-point",
-                        style={
-                            'backgroundColor': color,
-                            }
-                        ),
-                    html.Span(
-                        definition, 
-                        className="was-legend-label",
-                        )
-                    ],
-                    style={ 'display': 'block' })
-            legend.append(leg)
-
-        legend = html.Div(
-                legend,
-                className="was-legend"
-            )
-
-        # Geojson rendering logic, must be JavaScript as it is executed in clientside.
-        ns = Namespace("forecastTab", "wasMaps")
-        style_handle = ns("styleHandle")
-
-        geojson = dl.GeoJSON(
-                url=self.get_geojson_url(day=day),
-                # data=geojson_data,
-                # zoomToBounds=True,
-                hoverStyle=arrow_function(dict(weight=2, color='white', dashArray='', fillOpacity=OPACITY)),
-                options=dict(style=style_handle),
-                hideout=dict(colorscale=list(colormap.keys()),
-                    bounds=[i for i in range(len(colormap.keys()))],
-                    style=style,
-                    colorProp="value")
-                )  # url to geojson file
-
-        return geojson, legend
-
-    def get_title(self, day=0):
-        """ return title according to the date """
-        rdatetime = self.retrieve_cdatetime(tstep=0)
-        cdatetime = rdatetime + relativedelta(days=day)
-        return r'{}'.format(WAS[self.was]['title'] % {
-            'rhour':  rdatetime.strftime("%H"),
-            'rday':   rdatetime.strftime("%d"),
-            'rmonth': rdatetime.strftime("%b"),
-            'ryear':  rdatetime.strftime("%Y"),
-            'shour':  cdatetime.strftime("%H"),
-            'sday':   cdatetime.strftime("%d"),
-            'smonth': cdatetime.strftime("%b"),
-            'syear':  cdatetime.strftime("%Y"),
-            #'step':   "{:02d}".format(tstep*FREQ),
-        })
-
-    def retrieve_var_tstep(self, day=0, static=True, aspect=(1,1)):
-        """ run plot """
-        self.fig = go.Figure()
-        day = int(day)
-        if DEBUG: print('Adding contours ...')
-        geojson, legend = self.generate_contour_tstep_trace(day)
-        if DEBUG: print('Update layout ...')
-        if self.input_file is not None:
-            fig_title = html.P(html.B(
-                [
-                    item
-                    for sublist in self.get_title(day).split('<br>')
-                    for item in [sublist, html.Br()]
-                ][:-1]
-            ))
-        else:
-            fig_title = html.P(html.B("DATA NOT AVAILABLE"))
-
-        info = html.Div(
-            children=fig_title,
-            id="was-info",
-            className="info",
-            style=INFO_STYLE
-        )
-        return geojson, legend, info
diff --git a/ines_core_map_handler.py b/ines_core_map_handler.py
new file mode 100644
index 0000000000000000000000000000000000000000..40f78d06ffa42ca329a787f1900ab3ae7df4d44a
--- /dev/null
+++ b/ines_core_map_handler.py
@@ -0,0 +1,540 @@
+# -*- coding: utf-8 -*-
+""" Core """
+
+import os
+import time
+import json
+import copy
+from dash import html
+import dash_leaflet as dl
+import numpy as np
+from dateutil.relativedelta import relativedelta
+from netCDF4 import Dataset as nc_file
+from datetime import datetime as dt
+import logging
+
+DIR_PATH = os.path.dirname(os.path.realpath(__file__))
+COLORBARS = json.load(open(os.path.join(DIR_PATH, 'conf/colorbars.json')))
+INFO_STYLE = json.load(open(os.path.join(DIR_PATH, 'conf/info_style.json')))
+MAP_LAYERS = json.load(open(os.path.join(DIR_PATH, 'conf_ines_core/map_layers.json')))
+DEBUG = True
+
+class MapHandler:
+    """ Class than handles the creation of maps"""
+
+    def __init__(self):
+        """ Initialize MapHandler class """
+
+        self.info_style = INFO_STYLE
+        # TODO: Add common variables from all figure handlers here
+
+        return None
+
+    def get_title(self, **kwargs):
+        """ Return title from base title and elements
+
+        Returns
+        -------
+        title : str
+            Map title
+        """
+
+        logging.debug('================= Retrieving figure title...')
+
+        # Get selected and current datetime details
+        rhour = self.rdatetime.strftime("%H")
+        rday = self.rdatetime.strftime("%d")
+        rmonth = self.rdatetime.strftime("%b")
+        ryear = self.rdatetime.strftime("%Y")
+        if hasattr(self, 'cdatetime'):
+            shour = self.cdatetime.strftime("%H")
+            sday = self.cdatetime.strftime("%d")
+            smonth = self.cdatetime.strftime("%b")
+            syear = self.cdatetime.strftime("%Y")
+
+        # Get title elements that we want to show from base title
+        # e.g. a dict with shour, sday, smonth, syear as keys
+        title_elements = {}
+        base_title_split = self.base_title.split("%(")
+        for element in base_title_split[1:]:
+            element_split = element.split(")")
+            if len(element_split) > 1:
+                title_element = element_split[0]
+                if hasattr(self, title_element):
+                    title_elements.update({title_element: getattr(self, title_element)})
+                else:
+                    title_elements.update({title_element: locals()[title_element]})
+
+        # Create title from base and elements
+        title = r'{}'.format(self.base_title % title_elements)
+
+        return title
+      
+    def retrieve_cdatetime(self, tstep=0):
+        """ Retrieve data from NetCDF file
+
+        Parameters
+        ----------
+        tstep : int, optional
+            Current timestep of running plot, by default 0
+
+        Returns
+        -------
+        cdatetime : datetime.datetime
+            Current datetime
+        """
+
+        tstep = int(tstep)
+        time_attr = int(self.timesteps[tstep])
+
+        # Calculate current datetime given the selected initial datetime and current timestep
+        if self.what == 'days':
+            cdatetime = self.rdatetime + relativedelta(days=time_attr)
+        elif self.what == 'hours':
+            cdatetime = self.rdatetime + relativedelta(hours=time_attr)
+        elif self.what == 'minutes':
+            cdatetime = self.rdatetime + relativedelta(minutes=time_attr)
+        elif self.what == 'seconds':
+            cdatetime = self.rdatetime + relativedelta(seconds=time_attr)
+
+        return cdatetime
+
+    def create_legend(self, colormap):
+        """ Create map legend given the colors for each label
+
+        Parameters
+        ----------
+        colormap : dict
+            Dictionary with labels and keys and colors as values
+
+        Returns
+        -------
+        legend : html.Div
+            Map legend
+        """
+
+        logging.debug('================= Retrieving legend...')
+
+        # Create categorical legend given the labels and its colors
+        legend_items = []
+        labels = colormap.keys()
+        colors = colormap.values()
+
+        for i, (label, color) in enumerate(zip(labels, colors)):
+            legend_item = html.Div([html.Span(
+                                        "",
+                                        className="{}-legend-point".format(self.name),
+                                        style={
+                                            'backgroundColor': color,
+                                            }
+                                        ),
+                                    html.Span(
+                                        label,
+                                        className="{}-legend-label".format(self.name),
+                                        )
+                                    ],
+                                    style={ 'display': 'block' })
+            legend_items.append(legend_item)
+
+        legend = html.Div(legend_items, className="{}-legend".format(self.name))
+        
+        return legend
+
+    def retrieve_info(self, name):
+        """ Get information box with title 
+
+        Parameters
+        ----------
+        name : str
+            Map name
+
+        Returns
+        -------
+        info : html.Div
+            Map title
+        """
+
+        logging.debug('================= Retrieving figure title box...')
+
+        # Box width to match colorbar width
+        if hasattr(self, 'colorbar'):
+            if self.colorbar is not None:
+                self.info_style['width'] = str(self.colorbar.width) + "px"
+
+        # Create figure title box
+        info = html.Div(
+            children=self.fig_title,
+            id="{}-info".format(name),
+            className="info",
+            style=self.info_style
+        )
+
+        return info
+
+    def retrieve_colorbar(self, aspect=(1,1)):
+        """ Create map colorbar
+
+        Parameters
+        ----------
+        aspect : tuple, optional
+            Map aspect, by default (1,1)
+
+        Returns
+        -------
+        colorbar : dash_leaflet.Colorbar
+            Map colorbar
+        """
+
+        logging.debug('================= Retrieving colorbar...')
+        
+        # Create colorbar
+        colorbar = dl.Colorbar(**self.colorbar_info)
+
+        # Resize and place on top left corner
+        colorbar.width = 320 - 15 * aspect[0]
+        colorbar.style = {'overflow':'hidden', 'white-space':'nowrap'}
+        if aspect == (3,4):
+            colorbar.width = 320 - 38 * aspect[0]
+        colorbar.height = 8
+
+        return colorbar
+
+    def get_time_details(self):
+        """ Get time details
+
+        Returns
+        -------
+        timesteps : list
+            Steps corresponding to each datetime, e.g. [0, 3, 6, 9, 12]
+        what : str
+            Detects if time units are in hours, months, etc.
+        rdatetime : datetime.datetime
+            Selected datetime
+        """
+
+        input_file = nc_file(self.filepath)
+        time_obj = input_file.variables['time']
+        timesteps = time_obj[:]
+        tim_units = time_obj.units.split()
+        if len(tim_units) == 3:
+            what, _, rdate = tim_units
+            rtime = "00:00"
+        elif len(tim_units) >= 4:
+            what, _, rdate, rtime = tim_units[:4]
+        if len(rtime) > 5:
+            rtime = rtime[:5]
+        rdatetime = dt.strptime("{} {}".format(rdate, rtime), "%Y-%m-%d %H:%M")
+
+        return timesteps, what, rdatetime
+
+    def hour_to_tstep(self, hour):
+        """ Convert hour to relative tstep
+
+        Parameters
+        ----------
+        hour : int
+            Hour
+
+        Returns
+        -------
+        tstep : int
+            Timestep
+        """
+
+        cdatetime = self.rdatetime.date() + relativedelta(hours=hour)
+        for tstep in range(len(self.timesteps)):
+            if self.retrieve_cdatetime(tstep) == cdatetime:
+                return tstep
+        return 0
+
+    def get_center(self, center=None):
+        """ Returns center of map
+
+        Parameters
+        ----------
+        center : list, optional
+            Map center, by default None
+
+        Returns
+        -------
+        center : list
+            Map center
+        """
+
+        if center is None:
+            if hasattr(self, 'ylat'):
+                center =  [(self.ylat.max()-self.ylat.min())/2 + self.ylat.min() + (self.ylat.max()-self.ylat.min())/6,
+                           (self.xlon.max()-self.xlon.min())/2 + self.xlon.min(),]
+            else:
+                center = [30, 15]
+
+        return center
+
+    def retrieve_fig(self, aspect=(1,1), center=None, selected_tiles='carto-positron', 
+                     zoom=None, tag='empty', index=None, layers=None):
+        """ Get figure with all the elements (legend, layers, colorbar, etc.)
+
+        Parameters
+        ----------
+        aspect : tuple, optional
+            Map aspect, by default (1,1)
+        center : list, optional
+            Map center, by default None
+        selected_tiles : str, optional
+            Map tiles, by default 'carto-positron'
+        zoom : float, optional
+            Map zoom, by default None
+        tag : str, optional
+            Map tag, by default 'empty'
+        index : str, optional
+            Map index, by default None
+        layers : list, optional
+            Map layers, by default None
+
+        Returns
+        -------
+        dash_leaflet.Map
+            Figure
+        """
+
+        self.st_time = time.time()
+
+        logging.debug('================= Retrieving figure...')
+        
+        # Get zoom and center if it hasn't been specified
+        if center is None:
+            center = self.get_center(center)
+        if zoom is None:
+            zoom = 3.5 -(aspect[0]-aspect[0]*0.4)
+        logging.debug("ASPECT %s", aspect)
+        logging.debug("ZOOM %s", zoom)
+        logging.debug("CENTER %s", center)
+        
+        # Get index and template names
+        index = str(index)
+        tag_template_tile = "{}-tile-layer"
+        tag_template_map = "{}-map"
+
+        if not isinstance(layers, list):
+            layers = [layers]
+
+        logging.debug("TAG %s", tag)
+        logging.debug("INDEX %s", index)
+
+        fig = dl.Map(children=[
+            dl.TileLayer(
+                id=dict(
+                    tag=tag_template_tile.format(tag),
+                    index=index
+                ),
+                url=MAP_LAYERS[selected_tiles]['url'],
+                attribution=MAP_LAYERS[selected_tiles]['attribution']
+            ),
+            dl.FullscreenControl(
+                position='topright',
+            )] + layers,
+            zoomSnap=0.1,
+            zoom=zoom,
+            wheelPxPerZoomLevel=120,
+            wheelDebounceTime=80,
+            center=center,
+            id=dict(
+                tag=tag_template_map.format(tag),
+                index=index
+                ),
+            inertia=True,
+            preferCanvas=True,
+            animate=False,
+            minZoom=2,
+            #className="graph-with-slider",
+        )
+
+        logging.debug("*** FIGURE EXECUTION TIME: {} ***".format(str(time.time() - self.st_time)))
+        
+        return fig
+
+class PointsFigureHandler(MapHandler):
+    """ Class that handles the generation of maps with points """
+
+    def __init__(self):
+        """ Initialize PointsFigureHandler class """
+
+        super(PointsFigureHandler, self).__init__()
+
+        if self.name in COLORBARS:
+            self.colorbar_info = COLORBARS[self.name]
+        
+        # TODO: Add common variables from:
+        # VisFigureHandler, EvaluationGroundFigureHandler and EvaluationStatisticsFigureHandler
+
+        return None
+
+    def retrieve_geojson(self, geojson_data, namespace):
+        """ Get points layer as GeoJSON
+
+        Parameters
+        ----------
+        geojson_data : dict
+            Data to generate GeoJSON
+        namespace : dash_extensions.javascript.Namespace
+            Namespace
+
+        Returns
+        -------
+        geojson : dash_leaflet.GeoJSON
+            GeoJSON layer
+        """
+
+        logging.debug('================= Retrieving geojson...')
+
+        # Get points properties
+        hideout = {"circleOptions": self.circle_options}
+        if 'fillColor' not in hideout["circleOptions"].keys():
+            hideout.update({'colorProp': "value",
+                            'colorscale': self.colors})
+
+        # Get geojson
+        point_to_layer = namespace("pointToLayer")
+        geojson = dl.GeoJSON(data=geojson_data,
+                             options=dict(pointToLayer=point_to_layer,),
+                             hideout=hideout)
+
+        return geojson
+
+    def get_tooltip(self, df, var_list):
+        """ Get tooltip on hover
+
+        Parameters
+        ----------
+        df : dict
+            Data to generate tooltip
+        var_list : list
+            Variables to be shown in the tooltip if available in df
+
+        Returns
+        -------
+        data_dict : dict
+            Data dictionary with tooltips
+        """
+
+        logging.debug('================= Retrieving tooltip...')
+
+        data_dict = df.to_dict('records')
+        for item in data_dict:
+            logging.debug("------------- %s -----------------", item)
+            tooltip = """<span class='popup-map-body'>"""
+            tooltip_keys = [key for key in var_list if key in item.keys()]
+            for key in tooltip_keys:
+                # Check for nans, empty and false numbers
+                if (item[key] in [False, '']) or (item[key] != item[key]):
+                    continue
+                if key == 'station':
+                    tooltip += """<b>{0}</b><br>""".format(item[key])
+                else:
+                    tooltip += """{0}: <b>{1}</b><br>""".format(key.capitalize(), item[key])
+            tooltip += """</span>"""
+            item["tooltip"] = tooltip
+
+        return data_dict
+
+
+class ContourFigureHandler(MapHandler):
+    """ Class that handles the generation of maps with countours """
+
+    def __init__(self):
+        """ Initialize ContourFigureHandler class """
+
+        super(ContourFigureHandler, self).__init__()
+
+        # TODO: Add common variables from old FigureHandler and ProbFigureHandler
+
+        if self.name in COLORBARS:
+            self.colorbar_info = COLORBARS[self.name]
+        else:
+            self.colorbar_info = COLORBARS['model']
+
+        return None
+
+    def retrieve_geojson(self, geojson_path, namespace):
+        """ Get contour layer as GeoJSON
+
+        Parameters
+        ----------
+        geojson_path : str
+            Directory with data to generate GeoJSON
+        namespace : dash_extensions.javascript.Namespace
+            Namespace
+
+        Returns
+        -------
+        geojson : dash_leaflet.GeoJSON
+            GeoJSON layer
+        """
+
+        from dash_server import app
+
+        logging.debug('================= Retrieving geojson...')
+        
+        # Get contour properties
+        hideout = dict(colorscale=self.colorscale, bounds=self.bounds, style=self.style, 
+                       colorProp="value")
+
+        # Get geojson
+        geojson_url = app.get_asset_url(geojson_path)
+        style_handle = namespace("styleHandle")
+        geojson = dl.GeoJSON(url=geojson_url,
+                             options=dict(style=style_handle),
+                             hideout=hideout)
+
+        logging.info("GEOJSON URL %s", geojson_url)
+
+        return geojson
+
+
+class ShapefileFigureHandler(MapHandler):
+    """ Class that handles the generation of maps with shapefiles """
+
+    def __init__(self):
+        """ Initialize ShapefileFigureHandler class """
+
+        super(ShapefileFigureHandler, self).__init__()
+
+        # TODO: Add variables from ForecastWasFigureHandler that could be reused in other figures
+
+        return None
+
+    def retrieve_geojson(self, geojson_path, namespace, hideout, hover_style):
+        """ Get shapefile layer as GeoJSON
+
+        Parameters
+        ----------
+        geojson_path : str
+            Directory with data to generate GeoJSON
+        namespace : dash_extensions.javascript.Namespace
+            Namespace
+        hideout : dict
+            Shapefile style
+        hover_style : dict
+            Shapefile hover style
+
+        Returns
+        -------
+        geojson : dash_leaflet.GeoJSON
+            GeoJSON layer
+        """
+
+        from dash_server import app
+
+        logging.debug('================= Retrieving geojson...')
+        
+        # Get geojson
+        geojson_url = app.get_asset_url(geojson_path)
+        style_handle = namespace("styleHandle")
+        geojson = dl.GeoJSON(url=geojson_url,
+                             options=dict(style=style_handle),
+                             hoverStyle=hover_style,
+                             hideout=hideout)
+
+        logging.info("GEOJSON URL %s", geojson_url)
+
+        return geojson
diff --git a/ines_core_utils.py b/ines_core_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..ac9cdc3a13c02155cdd44633b8e816daaf51e6ca
--- /dev/null
+++ b/ines_core_utils.py
@@ -0,0 +1,377 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+""" Utils module with utility functions """
+
+import math
+import os.path
+import xarray as xr
+import numpy as np
+import pandas as pd
+import feather
+import logging
+from dash import dcc
+from dash import html
+from map_handler import PATHNAME
+from map_handler import RENDER404
+from map_handler import HOSTNAMES
+
+def concat_dataframes(fname_tpl, months, variable, rename_from=None, notnans=None):
+    """ Concatenate monthly dataframes
+
+    Parameters
+    ----------
+    fname_tpl : str
+        Feather file path
+    months : numpy.ndarray
+        Months, e.g. ['202304', '202305']
+    variable : str
+        Variable name
+    rename_from : str, optional
+        Variable name after renaming it, by default None
+    notnans : list, optional
+        Stations that have only NaN values, by default None
+
+    Returns
+    -------
+    list
+        Stations that have only NaN values
+    pandas.core.frame.DataFrame
+        Dataframe with data from all months
+    """
+
+    # Build feather files paths
+    opaths = [fname_tpl.format(month, variable)
+        for month in months if os.path.exists(fname_tpl.format(month, variable))]
+
+    logging.debug("__________ %s __________", opaths)
+    if not opaths:
+        return None, None
+
+    # Read monthly dataframes and concatenate into one
+    if rename_from:
+        mon_dfs = pd.concat([feather.read_dataframe(opath)
+            .rename(columns={rename_from: variable})
+            for opath in opaths])
+    # In case of models we don't rename the variable column
+    else:
+        mon_dfs = pd.concat([feather.read_dataframe(opath)
+            for opath in opaths])
+
+    # 1d observations
+    if 'station' in mon_dfs.columns:
+        if notnans is None:
+            notnans = [st for st in mon_dfs['station'].unique()
+                if not mon_dfs[mon_dfs['station']==st][variable].isnull().all()]
+        mon_dfs_filter = mon_dfs['station']
+        final_df = mon_dfs[mon_dfs_filter.isin(notnans)]
+    # 2d observations
+    else:
+        final_df = mon_dfs
+
+    return notnans, final_df
+
+
+def retrieve_single_point(fname, tstep, lat, lon, variable):
+    """ Retrive data on single point
+
+    Parameters
+    ----------
+    fname : str
+        File path
+    tstep : int
+        Timestep
+    lat : float
+        Latitude
+    lon : float
+        Longitude
+    variable : str
+        Variable name
+
+    Returns
+    -------
+    float
+        Variable value at closest available point from (lat, lon)
+    """
+
+    from map_handler import DEBUG
+
+    logging.debug(" %s %s %s %s %s", fname, tstep, lat, lon, variable)
+    ds = xr.open_dataset(fname)
+    if variable not in ds.variables:
+        variable = variable.lower()
+
+    # logging.debug('TIMESERIES %s %s %s %s', fname, variable, lon, lat)
+
+    if 'lat' in ds.variables:
+        da = ds[variable].sel(lon=lon, lat=lat, method='nearest')
+    else:
+        da = ds[variable].sel(longitude=lon, latitude=lat, method='nearest')
+    logging.debug('%s', da)
+
+    return da.values[tstep]
+
+
+def retrieve_timeseries(fname, lat, lon, variable, method='netcdf', forecast=False):
+    """ Retrieve timeseries data
+
+    Parameters
+    ----------
+    fname : str
+        File path
+    lat : float
+        Latitude
+    lon : float
+        Longitude
+    variable : str
+        Variable name
+    method : str, optional
+        Method name, by default 'netcdf'
+    forecast : bool, optional
+        Indicates if we are using forecast data, by default False
+
+    Returns
+    -------
+    numpy.ndarray
+        Latitudes
+    numpy.ndarray
+        Longitudes
+    pandas.core.indexes.datetimes.DatetimeIndex
+        Times
+    xarray.core.dataarray.DataArray
+        Data
+    """
+
+    from map_handler import DEBUG
+
+    if method == 'feather' and not forecast:
+        df = feather.read_dataframe(fname)
+        if 'lat' in df.columns:
+            lat_col = 'lat'
+            lon_col = 'lon'
+        else:
+            lat_col = 'latitude'
+            lon_col = 'longitude'
+
+        if variable not in df.columns:
+            variable = variable.lower()
+
+        if variable not in df.columns:
+            return None, None, None, None
+
+        n_lon = find_nearest(df[lon_col].values, lon)
+        n_lat = find_nearest(df[lat_col].values, lat)
+        ts = df[(df[lat_col] == n_lat) & (df[lon_col] == n_lon)][['time',
+            variable]].set_index('time')
+
+        return n_lat, n_lon, ts.index, ts[variable]
+
+    def preprocess(ds, n=8):
+        return ds.isel(time=range(n))
+
+    if forecast:
+        ds = xr.open_dataset(fname)
+    else:
+        ds = xr.open_mfdataset(fname, concat_dim='time', combine='nested',
+                preprocess=preprocess)
+    if variable not in ds.variables:
+        variable = variable.lower()
+
+    # logging.debug('TIMESERIES %s %s %s %s', fname, variable, lon, lat)
+
+    if 'lat' in ds.variables:
+        da = ds[variable].sel(lon=lon, lat=lat, method='nearest')
+        clat = 'lat'
+        clon = 'lon'
+    else:
+        da = ds[variable].sel(longitude=lon, latitude=lat, method='nearest')
+        clat = 'latitude'
+        clon = 'longitude'
+    
+    return da[clat].values, da[clon].values, da.indexes['time'], da
+
+
+def find_nearest(array, value):
+    """ Find the nearest value of a couple of coordinates
+
+    Parameters
+    ----------
+    array : numpy.ndarray
+        Array from which we extract the closest value (e.g. latitudes array)
+    value : float
+        Value for which we will search its closest value
+
+    Returns
+    -------
+    float
+        Nearest value in array for value
+    """
+    
+    return array[np.abs(array-value).argmin()]
+
+
+def find_nearest2(array, value):
+    """ Find the nearest value of a couple of coordinates
+
+    Parameters
+    ----------
+    array : numpy.ndarray
+        Array from which we extract the closest value (e.g. latitudes array)
+    value : float
+        Value for which we will search its closest value
+
+    Returns
+    -------
+    float
+        Nearest value in array for value
+    """
+
+    idx = np.searchsorted(array, value, side="left")
+    if idx > 0 and (idx == len(array) or math.fabs(value - array[idx-1]) <
+                    math.fabs(value - array[idx])):
+        return array[idx-1]
+
+    return array[idx]
+
+
+def calc_matrix(n):
+    """ Calculate the mosaic optimum matrix shape
+
+    Parameters
+    ----------
+    n : int
+        Number of mosaic cells
+
+    Returns
+    -------
+    int
+        Number of columns
+    int
+        Number of rows
+    """
+
+    sqrt_n = math.sqrt(n)
+    ncols = sqrt_n == int(sqrt_n) and int(sqrt_n) or int(sqrt_n) + 1
+    nrows = n%ncols > 0 and int(n/ncols)+1 or int(n/ncols)
+    
+    return ncols, nrows
+
+
+def magnitude(num):
+    """ Calculate magnitude
+
+    Parameters
+    ----------
+    num : float
+        Number
+
+    Returns
+    -------
+    int
+        Magnitude of num
+    """
+
+    if num == 0:
+        num = 1
+
+    return int(math.floor(math.log10(num)))
+
+
+def normalize_vals(vals, valsmin, valsmax, rnd=2):
+    """ Normalize values to 0-1 scale
+
+    Parameters
+    ----------
+    vals : numpy.ndarray
+        Values to normalize
+    valsmin : float
+        Minimum
+    valsmax : float
+        Maximum
+    rnd : int, optional
+        Rounding decimals, by default 2
+
+    Returns
+    -------
+    numpy.ndarray
+        Normalized values
+    """
+
+    if len(vals) == 1:
+        return np.array([0])
+    vals = np.array(vals)
+    if rnd < 2:
+        rnd = 2
+
+    return np.around((vals-valsmin)/(valsmax-valsmin), rnd)
+
+def get_404_link(tab):
+    """
+    Create the links for the 404 page. The links will redirect to the
+    fullscreen version of the app app if the app is in the
+    development environment at /dashboard/. Otherwise the links will
+    point to the running instance on the AEMET server.
+    """
+    if PATHNAME == HOSTNAMES['default']:
+        return PATHNAME+RENDER404[tab]['path_dev'],
+    return RENDER404[tab]['path_prod']
+
+def render404():
+    """ Create a 404 page """
+
+    # Define error message
+    children = [html.H2('404 Error', id='error_title'),
+                html.P("Sorry we can't find the page you were looking for."),
+                html.P("Here are some links that might help:"),]
+    
+    # Define links
+    for tab_i, tab in enumerate(RENDER404.keys()):
+        # Setup the href for the dev/prod environment
+        link = get_404_link(tab) 
+
+        # Add spacing if between links, not above
+        if tab_i > 0:
+            children.extend([html.Br(),
+                             html.Br(),])
+        # Add links to tabs
+        children.extend([dcc.Link(RENDER404[tab]['name'], 
+                                  id=RENDER404[tab]['id'],
+                                  href=link,
+                                  className='error_links',target='_parent',
+                                  refresh=True),])
+
+    # Create page
+    page = [html.Div(
+            className='background',
+            children=[
+                html.Div(
+                    id='error_div',
+                    children=children,
+                    )
+                ]
+            )
+            ]
+
+    return page
+
+
+def extend_list(l):
+    """ Extend list of lists to a flat list
+
+    Parameters
+    ----------
+    l : list
+        List
+
+    Returns
+    -------
+    list
+        Flat list
+    """
+
+    res = []
+    for x in l:
+        res.extend(x)
+    if not isinstance(res, list):
+        res = [res]
+        
+    return res
diff --git a/js/create_model_loop_zoom_fit.js b/js/create_model_loop_zoom_fit.js
index a46585044ea3db213467b97471a7f3c8c87a3e58..69f3c438bfb7e7d203005aca4221fcc88e9e07aa 100644
--- a/js/create_model_loop_zoom_fit.js
+++ b/js/create_model_loop_zoom_fit.js
@@ -1,31 +1,40 @@
-// CREATE A GIF FOCUSED GIF OR PNG OVER SELECTED fit
-// anim variable can be true(for gif) or a number for timestep, for png
-// call from interactive-forecast-viewer folder 
-// date currently does not work, and defaults to current day, or most recent data
-// node create_model_loop_zoom_fit true monarch 20220808 od550_dust spain
+// CREATE A GIF FOCUSED GIF OR PNG OVER SELECTED FIT AREA
+// ANIM VARIABLE CAN BE TRUE(FOR GIF) OR A NUMBER FOR TIMESTEP, FOR PNG
+// CALL FROM INTERACTIVE-FORECAST-VIEWER FOLDER 
+// DATE CURRENTLY DOES NOT WORK, AND DEFAULTS TO CURRENT DAY, OR MOST RECENT DATA
+// NODE CREATE_MODEL_LOOP_ZOOM_FIT TRUE MONARCH 20220808 OD550_DUST SPAIN
 
+// SETUP PUPPETEER
 const { Cluster } = require('puppeteer-cluster');
 const util = require('util');
 const path = require('path');
-const url = 'http://127.0.0.1:9000/dashboard/'
-// const url = 'http://0.0.0.0:7778/dashboard/'
-const modelDict = {'od550_dust':'AOD',
-    'sconc_dust':'Concentration',
-    'dust_depd':'Dry deposition',
-    'dust_depw':'Wet deposition',
-    'dust_load':'Load',
-    'dust_ext_sfc':'Extinction'};
-
-//READ COORDINATES AND CENTER FROM CONF FILE
-const relpath = path.relative('js/create_model_loop_zoom_fit.js', 'interactive-forecast-viewer/conf/coords.json');
-const coords = require(relpath);
 
+// USE THE CREATE_LOOP_DEV CONF DURING DEVELOPMENT
+const output_conf = path.relative('js/create_model_loop_zoom_fit.js', 'interactive-forecast-viewer/conf/create_loop_prod.json')
+// const output_conf = path.relative('js/create_model_loop_zoom_fit.js', 'interactive-forecast-viewer/conf/create_loop_dev.json');
+const setup_conf = path.relative('js/create_model_loop_zoom_fit.js', 'interactive-forecast-viewer/conf/create_loop_setup.json');
+const selectors_conf = path.relative('js/create_model_loop_zoom_fit.js', 'interactive-forecast-viewer/conf/create_loop_selectors.json');
+const coords_conf = path.relative('js/create_model_loop_zoom_fit.js', 'interactive-forecast-viewer/conf/coords.json');
+const vars_conf = path.relative('js/create_model_loop_zoom_fit.js', 'interactive-forecast-viewer/conf/vars.json');
+
+//REQUIRE CONFS
+const conf = require(output_conf);
+const vars = require(vars_conf);
+const coords = require(coords_conf);
+const setup = require(setup_conf);
+const selectors = require(selectors_conf);
+
+// ASSIGN THE URL THAT PUPPETEER SHOULD VISIT TO TAKE SCREENSHOTS
+const url = conf.url;
+
+// FUNCTION TO SET UP DELAYS WHEN NEEDED
 function delay(time) {
     return new Promise(function(resolve) { 
 	setTimeout(resolve, time)
     });
 }
 
+// START PUPPETEER CLUSTER (EXTERIOR VARIABLES MUST BE PASSED IN)
 const RunCluster = async (anim, curmodel, seldate, variable, fit) => {
     const cluster = await Cluster.launch({
 	concurrency: Cluster.CONCURRENCY_CONTEXT,
@@ -39,6 +48,7 @@ const RunCluster = async (anim, curmodel, seldate, variable, fit) => {
 	maxConcurrency: 4,
     });
 
+    // SET SCREEN DIMENSIONS AND GOTO URL
     await cluster.task(async ({ page, data: args }) => {
 	process.stdout.write("ARGS: " + args + "\n");
 	var tstep = args[0];
@@ -53,111 +63,99 @@ const RunCluster = async (anim, curmodel, seldate, variable, fit) => {
 	await page.goto(url, {
 	    waitUntil: 'networkidle0',
 	});
-	await page.waitForSelector("#graph-collection");
-	// select variable
-	try {            
-	    const sel = await page.$('#variable-dropdown-forecast');
+	await page.waitForSelector(selectors.graphs);
+
+	// SELECT VARIABLE
+	try {
+	    const sel = await page.$(selectors.varDropdown);
 	    await sel.click();
-	    await page.waitForSelector(".Select-menu-outer");
-	    const dropdown_variable = modelDict[variable];
-	    process.stdout.write("Selected dropdown variable: " + dropdown_variable + '\n');
-	    await page.evaluate((dropdown_variable) => {
-		const options = [...document.querySelectorAll('.VirtualizedSelectOption')];
+	    await page.waitForSelector(selectors.selectMenu);
+	    const dropdown_variable = vars[variable.toUpperCase()].name_sidebar;
+	    await page.evaluate(({dropdown_variable, selectedVar}) => {
+		const options = [...document.querySelectorAll(selectedVar)];
 		selected_variable = options.find(element => element.textContent === dropdown_variable);
 		selected_variable.click();
-	    }, dropdown_variable);
+	    }, {dropdown_variable: dropdown_variable, selectedVar: selectors.selectedVar});
 	} catch (err) {
 	    process.stdout.write("ERR0: " + err + "\n");
 	}
-	// select all models 
-	if (curmodel === "all") {
-	    try {            
-		process.stdout.write("SELECT ALL MODELS\n");
-		for (const model of await page.$$('.custom-control-input')) {
-		    const checked = await model.evaluate(elem => elem.checked);
-		    process.stdout.write("CHECKED BEFORE: " + checked + "\n");
-		    if (!checked) {
-			await model.click();
-		    }
+
+	// SELECT MODEL 
+	try {            
+	    process.stdout.write("SELECT MODEL: " + curmodel + "\n");
+	    for (const model of await page.$$(selectors.selectedModels)) {
+		const checked = await model.evaluate(elem => elem.checked);
+		process.stdout.write("CHECKED BEFORE: " + checked + "\n");
+		const value = await model.evaluate(elem => elem.value);
+		process.stdout.write("VALUE: " + value + "\n");
+		if (!checked && value === curmodel) {
+		    await model.click();
 		}
-	    } catch (err) {
-		process.stdout.write("ERR1: " + err + "\n");
-	    }
-	}
-	// select only one model 
-	else {
-	    try {            
-		process.stdout.write("SELECT MODEL: " + curmodel + "\n");
-		for (const model of await page.$$('.custom-control-input')) {
-		    const checked = await model.evaluate(elem => elem.checked);
-		    process.stdout.write("CHECKED BEFORE: " + checked + "\n");
-		    const value = await model.evaluate(elem => elem.value);
-		    process.stdout.write("VALUE: " + value + "\n");
-		    if (!checked && value === curmodel) {
-			await model.click();
-		    }
-		    if (checked && value !== curmodel) {
-			await model.click();
-			await delay(500);
-		    }
+		if (checked && value !== curmodel) {
+		    await model.click();
+		    await delay(500);
 		}
-	    } catch (err) {
-		process.stdout.write("ERR2: " + err + "\n");
 	    }
+	} catch (err) {
+	    process.stdout.write("ERR1: " + err + "\n");
 	}
-	// apply button
+
+	// CLICK APPLY BUTTON
 	try {
-	    for (const model of await page.$$('.custom-control-input')) {
+	    for (const model of await page.$$(selectors.selectedModels)) {
 		const checked = await model.evaluate(elem => elem.checked);
 		process.stdout.write("CHECKED AFTER: " + checked + "\n");
 	    }
 	    process.stdout.write("CLICK APPLY BUTTON\n");
-	    const btn = await page.$('#models-apply');
+	    const btn = await page.$(selectors.modelsApply);
 	    await btn.click();  // "button#models-apply");
 	    await delay(500);
 	} catch (err) {
-	    process.stdout.write("ERR3: " + err + "\n");
+	    process.stdout.write("ERR2: " + err + "\n");
 	}
-	// apply none fit button
+
+	// APPLY ZOOM AND COORDINATES
 	try {
 	    var zoom = coords[fit].zoom;
 	    var lat = coords[fit].lat;
 	    var lon = coords[fit].lon;
 	    process.stdout.write("Zoom: " + zoom  + " Lat " + lat + " Lon " + lon +"\n");
 
-	    // Change hidden inputs and button to visible
-	    let zoomInput = await page.$('#country-zoom');
-	    await zoomInput.evaluate((el) => el.style.display = 'block');
-	    let latInput = await page.$('#country-lat');
-	    await latInput.evaluate((el) => el.style.display = 'block');
-	    let lonInput = await page.$('#country-lon');
-	    await lonInput.evaluate((el) => el.style.display = 'block');
-	    let zoomButton = await page.$('#country-focus');
-	    await zoomButton.evaluate((el) => el.style.display = 'block');
-
-	    // Add data and click 
-	    await page.type('#country-zoom', zoom);
-	    await page.type('#country-lat', lat);
-	    await page.type('#country-lon', lon);
-	    process.stdout.write("CLICK HIDDEN country BUTTON\n");
-	    await page.click('#country-focus');
-
-	    // Make elements invisible again
-	    await zoomInput.evaluate((el) => el.style.display = 'none');
-	    await latInput.evaluate((el) => el.style.display = 'none');
-	    await lonInput.evaluate((el) => el.style.display = 'none');
-	    await zoomButton.evaluate((el) => el.style.display = 'none');
+	    // CHANGE HIDDEN INPUTS AND BUTTON TO VISIBLE
+	    let zoomInput = await page.$(selectors.zoomLevel);
+	    await zoomInput.evaluate((el, visible) => {el.style.display = visible}, setup.makeVisible);
+	    let latInput = await page.$(selectors.lat);
+	    await latInput.evaluate((el, visible) => {el.style.display = visible}, setup.makeVisible);
+	    let lonInput = await page.$(selectors.lon);
+	    await lonInput.evaluate((el, visible) => {el.style.display = visible}, setup.makeVisible);
+	    let zoomButton = await page.$(selectors.focus);
+	    await zoomButton.evaluate((el, visible) => {el.style.display = visible}, setup.makeVisible);
+
+	    // ADD DATA AND CLICK 
+	    await page.type(selectors.zoomLevel, zoom);
+	    await page.type(selectors.lat, lat);
+	    await page.type(selectors.lon, lon);
+	    process.stdout.write("CLICK HIDDEN COUNTRY BUTTON\n");
+	    await page.click(selectors.focus);
+
+	    // MAKE ELEMENTS INVISIBLE AGAIN
+	    await zoomInput.evaluate((el, visible) => {el.style.display = visible}, setup.makeInvisible);
+	    await latInput.evaluate((el, visible) => {el.style.display = visible}, setup.makeInvisible);
+	    await lonInput.evaluate((el, visible) => {el.style.display = visible}, setup.makeInvisible);
+	    await zoomButton.evaluate((el, visible) => {el.style.display = visible}, setup.makeInvisible);
 
 	} catch (err) {
-	    process.stdout.write("ERR4: " + err + "\n");
+	    process.stdout.write("ERR3: " + err + "\n");
 	}
+
+	// GO THROUGH TIMESTEPS
 	var num = "00";
 	if (tstep === "false") {
 	    process.stdout.write("CURRENT SELECTION: " + tstep + "\n");
 	    num = "_curr";
 	} else {
 	    process.stdout.write("CURRENT TSTEP: " + tstep + "\n");
-	    const steps = await page.$$("span.rc-slider-dot");
+	    const steps = await page.$$(selectors.sliderDot);
 	    await steps[tstep].click();
 	    if (tstep<10) {
 		num = "0"+tstep;
@@ -165,38 +163,41 @@ const RunCluster = async (anim, curmodel, seldate, variable, fit) => {
 		num = tstep;
 	    }
 	}
-	// wait for alert div to disappear to start grabbing elements 
-	await page.waitForSelector("#alert-forecast", {hidden: true});
-	await page.waitForSelector("#graph-collection");
-	const graph = await page.$('#graph-collection');
-	// change graph height to fill output gif
-	let graphHeight = await page.$('.leaflet-container');
-	await graphHeight.evaluate((el) => el.style.height = '93vh');
-	// remove timeslider 
-	await page.waitForSelector(".navbar-timebar");
-	process.stdout.write("REMOVING NAVBAR" + "\n");
-	await page.evaluate((sel) => {
-	    let toRemove = document.querySelector(sel);
-	    toRemove.parentNode.removeChild(toRemove);
-	}, '.navbar-timebar');
-	// remove zoom panel 
-	process.stdout.write("REMOVING ZOOM PANEL(S)" + "\n");
-	await page.waitForSelector(".leaflet-bar");
-	await page.evaluate((sel) => {
-	    let toRemove = document.querySelectorAll(sel);
-	    for (let j=0; j<toRemove.length; j++) {
-		toRemove[j].parentNode.removeChild(toRemove[j]);
-	    }
-	}, '.leaflet-bar');
-
+	try {
+	    // WAIT FOR ALERT DIV TO DISAPPEAR TO START GRABBING ELEMENTS 
+	    await page.waitForSelector(selectors.alertForecast, {hidden: true});
+	    await page.waitForSelector(selectors.graphs);
+	    var graph = await page.$(selectors.graphs);
+	    // CHANGE GRAPH HEIGHT TO FILL OUTPUT GIF
+	    let graphHeight = await page.$(selectors.leafletContainer);
+	    await graphHeight.evaluate((el, styledHeight) => el.style.height = styledHeight, 
+		setup.graphHeight);
+	    // REMOVE TIMESLIDER 
+	    await page.waitForSelector(selectors.navTimebar);
+	    process.stdout.write("REMOVING NAVBAR" + "\n");
+	    await page.evaluate((sel) => {
+		let toRemove = document.querySelector(sel);
+		toRemove.parentNode.removeChild(toRemove);
+	    }, selectors.navTimebar);
+	    // REMOVE ZOOM PANEL 
+	    process.stdout.write("REMOVING ZOOM PANEL(S)" + "\n");
+	    await page.waitForSelector(selectors.leafletBar);
+	    await page.evaluate((sel) => {
+		let toRemove = document.querySelectorAll(sel);
+		for (let j=0; j<toRemove.length; j++) {
+		    toRemove[j].parentNode.removeChild(toRemove[j]);
+		}
+	    }, selectors.leafletBar);
+	} catch (err) {
+	    console.log(err);
+	    process.stdout.write("ERR4: " + err + "\n");
+	}
 	if (coords[fit].logos == true){
 	    try {
-		//reveal logos 
+		// REVEAL AND STYLE LOGOS
 		process.stdout.write("REVEALING LOGOS" + "\n");
-
-		//style logos
-		let logos = await page.$('#logos');
-		await logos.evaluate((el) => el.style.display = 'inline');
+		let logos = await page.$(selectors.logos);
+		await logos.evaluate((el, logoDisplay) => {el.style.display = logoDisplay}, setup.logoDisplay);
 		await logos.evaluate((el, margin) => {el.style.marginTop = margin}, coords[fit].marginTop);
 		await logos.evaluate((el, padding) => {el.style.paddingRight = padding}, coords[fit].paddingRight);
 	    } catch (err) {
@@ -204,35 +205,44 @@ const RunCluster = async (anim, curmodel, seldate, variable, fit) => {
 		process.stdout.write("ERR5:" + err + "\n");
 	    }
 	};
-	// Move disclaimer into the image for the monarch_fit
-        let disclaimer = await page.$('.disclaimer');
-        await disclaimer.evaluate((el) => el.style.right = '1px');
-	// Handle output and take screenshot
-	//Filename shouldn't include fit unless it is a specified country
-	if (fit == 'monarch_fit' || fit == 'default') {
-	    // Change the below to './js/tmp' ... during developement, run script from interactiv...
-	    var outputFile = './tmp/' + variable.toLowerCase() + '/' + seldate + '_' + curmodel + '_' + num + '.png';
+	
+	// MOVE DISCLAIMER INTO THE IMAGE FOR THE MONARCH_FIT
+        let disclaimer = await page.$(selectors.disclaimer);
+        await disclaimer.evaluate((el, disclaimerOffset) => el.style.right = disclaimerOffset,
+	    setup.disclaimerRight);
+	
+	// HANDLE OUTPUT AND TAKE SCREENSHOT
+	// FILENAME SHOULDN'T INCLUDE FIT UNLESS IT IS A SPECIFIED COUNTRY
+	var targetFolder = conf.targetFolder;
+	if (fit == setup.specialFit || fit == setup.defaultFit) {
+	    var outputFile = `${targetFolder}/${variable.toLowerCase()}/${seldate}_${curmodel}_${num}.png`;
 	} else {
-	    // Create a filename that includes the specified country fit
-	    // Change the below to './js/tmp' ... during developement, run script from interactiv...
-	    var outputFile = './tmp/' + variable.toLowerCase() + '/' + fit + '/' + seldate + '_' + curmodel + '_' + fit + '_' + num + '.png';
+	    // CREATE A FILENAME THAT INCLUDES THE SPECIFIED COUNTRY FIT
+	    var outputFile = `${targetFolder}/${variable.toLowerCase()}/${fit}/${seldate}_${curmodel}_${fit}_${num}.png`;
 	}
 
 	process.stdout.write("TAKE SCREENSHOT => " + outputFile + "\n");
-	await graph.screenshot({ path: outputFile });
+	try {
+	    await graph.screenshot({ path: outputFile });
+	} catch(err) {
+	    console.log(err);
+	    process.stdout.write("ERR6:" + err + "\n");
+	}
 
     });
 
+    // TAKE SCREENSHOTS FOR ALL TSTEPS TO CREATE GIF
     if (anim === "true") {
-	for (let i=0; i<25; i++) {
+	for (let i = 0; i < setup.tstepCount; i++) {
 	    try {
 		process.stdout.write("QUEUEING step:" + i + "\n");
 		await cluster.queue([i, curmodel, seldate, variable, fit]);
 	    } catch (err) {
 		console.log(err);
-		process.stdout.write("ERR6:" + err + "\n");
+		process.stdout.write("ERR7:" + err + "\n");
 	    }
 	}
+    // ELSE TAKE SCREENSHOT OF SPECIFIED TSTEP
     } else {
 	process.stdout.write("QUEUEING current:" + anim + "\n");
 	cluster.queue([anim, curmodel, seldate, variable, fit]);
@@ -246,7 +256,8 @@ var anim = process.argv[2];      // default: false;
 var curmodel = process.argv[3];  // default: "none";
 var seldate = process.argv[4];   // default: "none";
 var variable = process.argv[5];  // default: OD550_DUST
-var fit = process.argv[6];	 
+var fit = process.argv[6];	 // default: default
+
 
 process.stdout.write("START -> ANIM: " + anim + " CURMODEL: " + curmodel + " DATE: " + seldate + " VAR: " +  variable + " fit: " + fit + "\n");
 RunCluster(anim, curmodel, seldate, variable, fit);
diff --git a/map_handler.py b/map_handler.py
new file mode 100644
index 0000000000000000000000000000000000000000..9b19dd0b0e574f400a64d884c3e238036ab38715
--- /dev/null
+++ b/map_handler.py
@@ -0,0 +1,1365 @@
+# -*- coding: utf-8 -*-
+""" Data Handler """
+
+from dash import html
+import dash_leaflet as dl
+import dash_leaflet.express as dlx
+from dash_extensions.javascript import arrow_function
+from dash_extensions.javascript import Namespace
+import matplotlib
+from matplotlib import cm
+from matplotlib.colors import ListedColormap
+import numpy as np
+from netCDF4 import Dataset as nc_file
+import pandas as pd
+import json
+import orjson
+from collections import OrderedDict
+import os
+import time
+import calendar
+from datetime import timedelta
+from datetime import datetime as dt
+from dateutil.relativedelta import relativedelta
+
+from ines_core_map_handler import MapHandler
+from ines_core_map_handler import PointsFigureHandler
+from ines_core_map_handler import ContourFigureHandler
+from ines_core_map_handler import ShapefileFigureHandler
+
+from pathlib import Path
+from flask_caching import Cache
+import uuid
+import socket
+import logging
+
+DIR_PATH = os.path.dirname(os.path.realpath(__file__))
+DEBUG = False
+DASH_LOG_LEVEL = logging.INFO # DEBUG INFO WARNING ERROR
+
+# Set up cache
+CACHE = json.load(open(os.path.join(DIR_PATH, 'conf/cache.json')))
+cache_config = CACHE['config']
+cache_config.update({'CACHE_DIR': "/dev/shm/{}".format(str(uuid.uuid1()))})
+Path(cache_config['CACHE_DIR']).mkdir(parents=True, exist_ok=True)
+cache = Cache(config=cache_config)
+cache_timeout = CACHE['timeout']
+
+# Set up base url
+HOSTNAME = socket.gethostbyname_ex(socket.gethostname())[0]
+HOSTNAMES = json.load(open(os.path.join(DIR_PATH, 'conf/hostnames.json')))
+
+# Get configurations
+INIT = json.load(open(os.path.join(DIR_PATH, 'conf/init.json')))
+DASH_STYLE = json.load(open(os.path.join(DIR_PATH, 'conf/dash_style.json')))
+VARS = json.load(open(os.path.join(DIR_PATH, 'conf/vars.json')))
+MODELS = json.load(open(os.path.join(DIR_PATH, 'conf/models.json')))
+OBS = json.load(open(os.path.join(DIR_PATH, 'conf/obs.json')))
+WAS = json.load(open(os.path.join(DIR_PATH, 'conf/was.json')))
+PROB = json.load(open(os.path.join(DIR_PATH, 'conf/prob.json')))
+VIS = json.load(open(os.path.join(DIR_PATH, 'conf/vis.json')))
+SCORES = json.load(open(os.path.join(DIR_PATH, 'conf/scores.json')))
+DATES = json.load(open(os.path.join(DIR_PATH, 'conf/dates.json')))
+ALIASES = json.load(open(os.path.join(DIR_PATH, 'conf/aliases.json')))
+STATS_CONF = json.load(open(os.path.join(DIR_PATH, 'conf/stats.json')))
+ALL_COLORS = json.load(open(os.path.join(DIR_PATH, 'conf/colors.json')))
+MODEBARS = json.load(open(os.path.join(DIR_PATH, 'conf/modebars.json')))
+DISCLAIMERS = json.load(open(os.path.join(DIR_PATH, 'conf/disclaimers.json')))
+SATELLITE_IMAGE_SRC = json.load(open(os.path.join(DIR_PATH, 'conf/satellite_image_src.json')))
+PATHS = json.load(open(os.path.join(DIR_PATH, 'conf/paths.json')))
+RENDER404 = json.load(open(os.path.join(DIR_PATH, 'conf/render404.json')))
+
+# Set up initial conditions
+FREQ = INIT['frequency']
+FORECAST_MAX = INIT['forecast_max']
+FORECAST_FINAL_DAY = INIT['forecast_final_day']
+DEFAULT_VAR = INIT['default_variable']
+DEFAULT_MODEL = INIT['default_model']
+START_DATE = DATES['start_date']
+DELAY = DATES['delay']['delayed']
+DELAY_DATE = DATES['delay']['start_date']
+END_DATE = DATES['end_date']
+END_DATE = END_DATE or (DELAY and (dt.now() -
+    timedelta(days=1)).strftime("%Y%m%d") or dt.now().strftime("%Y%m%d"))
+
+# Set up dashboard basic properties
+GRAPH_HEIGHT = DASH_STYLE['graph_height']
+OPACITY = DASH_STYLE['opacity']
+
+# Set up color scheme
+COLORS = ALL_COLORS['std']
+COLORS_NORGB = ALL_COLORS['std_norgb']
+COLORS_PROB = ALL_COLORS['prob']
+COLORMAP = ListedColormap(COLORS_NORGB)
+COLORMAP_PROB = ListedColormap(COLORS_PROB)
+
+# Set up route defaults
+ROUTE_DEFAULTS = json.load(open(os.path.join(DIR_PATH, 'conf/route.json')))
+ROUTE_DEFAULTS.update({'date': [END_DATE]})
+
+# Set up statistics
+STATS = OrderedDict([(key, STATS_CONF[key]['name']) for key in STATS_CONF])
+STATS.update({'totn': 'TOTAL CASES'})
+
+# Set up timeseries configuration
+MODEBAR_CONFIG = MODEBARS['config']
+MODEBAR_CONFIG_TS = MODEBARS['config_ts']
+MODEBAR_LAYOUT = MODEBARS['layout']
+MODEBAR_LAYOUT_TS = MODEBARS['layout_ts']
+
+# Set up disclaimers
+DISCLAIMER_MODELS = [html.Span(html.P(DISCLAIMERS['models']), id='models-disclaimer')]
+DISCLAIMER_OBS = html.P(DISCLAIMERS['observations'])
+
+# Get templates
+GEOJSON_TEMPLATE = "{}/geojson/{}/{:02d}_{}_{}.geojson"
+NETCDF_TEMPLATE = "{}/netcdf/{}{}.nc"
+
+# Get path names
+if HOSTNAME in HOSTNAMES:
+    PATHNAME = HOSTNAMES[HOSTNAME]
+else:
+    PATHNAME = HOSTNAMES['default']
+
+
+class ForecastModelsFigureHandler(ContourFigureHandler):
+    """ Class which handles forecast model data """
+
+    def __init__(self, var=None, model=None, tstep=0, hour=None, selected_date=None):
+        """ Initialize ForecastModelsFigureHandler class
+
+        Parameters
+        ----------
+        var : str, optional
+            Variable name, by default None
+        model : str, optional
+            Model name, by default None
+        tstep : int, optional
+            Timestep, by default 0
+        hour : int, optional
+            Hour, by default None
+        selected_date : str, optional
+            Selected date, by default None
+        """
+
+        if isinstance(model, list):
+            self.model = model[0]
+        else:
+            self.model = model
+        self.name = self.model
+        super(ForecastModelsFigureHandler, self).__init__()
+
+        self.var = var
+        self.selected_date = selected_date
+
+        self.bounds = np.array(VARS[self.var.upper()]['bounds']).astype('float32')
+        self.style = dict(weight=0, opacity=0, color='white', dashArray='', fillOpacity=OPACITY)
+        self.colorscale = COLORS
+
+        if self.selected_date:
+            # Get NetCDF file path
+            self.filepath = NETCDF_TEMPLATE.format(MODELS[self.model]['path'], selected_date, 
+                                                   MODELS[self.model]['template'])
+            
+            # Read NetCDF file and retrieve timesteps, what (hours, months, etc.) and rdatetime
+            if os.path.exists(self.filepath):
+                self.timesteps, self.what, self.rdatetime = self.get_time_details()
+
+        return None
+
+    def generate_var_tstep_trace(self, tstep=0):
+        """ Generate GeoJSON trace to be added per timestep
+
+        Parameters
+        ----------
+        tstep : int, optional
+            Timestep, by default 0
+        """
+
+        data_path = os.path.basename(MODELS[self.model]['path'])
+        geojson_path = os.path.join('geojsons', GEOJSON_TEMPLATE.format(data_path, 
+            self.selected_date, tstep, self.selected_date, self.var))
+        namespace = Namespace("forecastTab", "forecastMaps")
+        self.geojson = self.retrieve_geojson(geojson_path, namespace)
+
+        return None
+
+    def generate_colorbar(self):
+        """ Generate colorbar """
+        
+        ctg = ["{:d}".format(int(cls)) if cls.as_integer_ratio()[1] == 1 else "{:.1f}".format(cls) 
+               for i, cls in enumerate(self.bounds[1:-1])]
+        indices = list(range(len(ctg) + 2))
+        self.colorbar_info.update({'min': 0,
+                                   'max': len(ctg)+1, 
+                                   'classes': indices,
+                                   'colorscale': self.colorscale,
+                                   'tickValues': indices[1:-1],
+                                   'tickText': ctg})
+        self.colorbar = self.retrieve_colorbar()
+
+        logging.debug("BOUNDS %s", self.bounds)
+        logging.debug("CTG %s", ctg)
+
+        return None
+
+    def get_title(self, **kwargs):
+        """ Return title from base title and elements """
+
+        varname = kwargs['varname']
+        tstep = kwargs['tstep']
+
+        self.base_title = " ".join([MODELS[self.model]['name'], VARS[varname]['title']])
+        self.cdatetime = self.retrieve_cdatetime(tstep)
+        self.step = "{:02d}".format(tstep*FREQ)
+        title = super(ForecastModelsFigureHandler, self).get_title()
+        
+        return title
+
+    def get_figure_layers(self, tstep=0, hour=None, aspect=(1,1)):
+        """ Get figure layers (GeoJSON trace, colorbar and information box with title)
+
+        Parameters
+        ----------
+        tstep : int, optional
+            Timestep, by default 0
+        hour : int, optional
+            Hour, by default None
+        aspect : tuple, optional
+            Map aspect, by default (1,1)
+
+        Returns
+        -------
+        list
+            Figure layers
+        """
+
+        logging.debug('Updating layout ...')
+        
+        if os.path.exists(self.filepath) and self.var:
+            
+            # Get timestep
+            if hour is not None:
+                tstep = int(self.hour_to_tstep(hour))
+            else:
+                tstep = int(tstep)
+
+            # Get trace and colorbar
+            self.generate_var_tstep_trace(tstep)
+            self.generate_colorbar()
+
+            # Get figure title
+            self.fig_title = html.P(html.B(
+                [
+                    item for sublist in self.get_title(varname=self.var, tstep=tstep).split('<br>') 
+                    for item in [sublist, html.Br()]
+                ][:-1]
+            ))
+
+        else:
+            self.geojson = None
+            self.colorbar = None
+
+            # Get figure title
+            if not self.var:
+                self.fig_title = ""
+            elif self.var and not os.path.exists(self.filepath):
+                if self.model in MODELS:
+                    title = "{} - DATA NOT AVAILABLE".format(MODELS[self.model]['name'])
+                else:
+                    title = "DATA NOT AVAILABLE"
+                self.fig_title = html.P(html.B(title))
+
+        if self.model is not None:
+            # Tilt colorbar values so they won't overlap for SCONC_DUST
+            if self.var == "SCONC_DUST": 
+                self.colorbar.className = 'sconc_info'
+            if aspect[0] > 2:
+                self.info_style['fontSize'] = "{}px".format(int(self.info_style['fontSize'][:-2])-aspect[0]+ 0.3)
+        
+        # Get title information element
+        self.info = self.retrieve_info(name=self.model)
+
+        return [self.geojson, self.colorbar, self.info]
+
+
+class ForecastProbFigureHandler(ContourFigureHandler):
+    """ Class which handles forecast probability data """
+
+    def __init__(self, var=None, prob=None, selected_date=None):
+        """ Initialize ForecastProbFigureHandler class
+
+        Parameters
+        ----------
+        var : str, optional
+            Variable name, by default None
+        prob : float, optional
+            Probability threshold, by default None
+        selected_date : str, optional
+            Selected date, by default None
+        """
+        
+        self.name = 'prob'
+        super(ForecastProbFigureHandler, self).__init__()
+
+        if var is None:
+            self.var = DEFAULT_VAR
+        else:
+            self.var = var
+
+        probs = PROB[self.var]['prob_thresh']
+        if prob is None:
+            prob = probs[0]
+
+        self.prob = prob
+        self.selected_date = selected_date
+
+        self.bounds = np.arange(0, 110, 10)
+        self.colorscale = COLORS_PROB
+        self.style = dict(weight=0, opacity=0, color='white', dashArray='', fillOpacity=OPACITY)
+
+        # Get NetCDF file path
+        netcdf_path = PROB[self.var]['netcdf_path']
+        netcdf_file = PROB[self.var]['netcdf_template']
+        self.filepath = os.path.join(netcdf_path, netcdf_file).format(prob=self.prob, 
+                                                                      date=self.selected_date, 
+                                                                      var=self.var)
+
+        # Read NetCDF file and retrieve timesteps, what (hours, months, etc.) and rdatetime
+        if os.path.exists(self.filepath):
+            self.timesteps, self.what, self.rdatetime = self.get_time_details()
+
+        return None
+        
+    def generate_var_tstep_trace(self, tstep=0):
+        """ Generate GeoJSON trace to be added per timestep
+
+        Parameters
+        ----------
+        tstep : int, optional
+            Timestep, by default 0
+        """
+
+        geojson_path = os.path.join(PROB[self.var]['geojson_path'], 
+                                    PROB[self.var]['geojson_template']).format(prob=self.prob, 
+                                        date=self.selected_date, var=self.var)
+        geojson_path = geojson_path.format(step=tstep).replace('/data/daily_dashboard', 
+                                                               'geojsons')
+        namespace = Namespace("forecastTab", "forecastMaps") 
+        self.geojson = self.retrieve_geojson(geojson_path, namespace)
+
+        return None
+
+    def generate_colorbar(self):
+        """ Generate colorbar """
+
+        ctg = ["{:.1f}".format(cls) if '.' in str(cls) else "{:d}".format(cls)
+                for i, cls in enumerate(self.bounds)]
+        indices = list(range(len(ctg)))
+        self.colorbar_info.update({'min': -0.1,
+                                   'max': len(ctg)-.7,
+                                   'classes': indices,
+                                   'colorscale': self.colorscale,
+                                   'tickValues': indices,
+                                   'tickText': ctg})
+        self.colorbar = self.retrieve_colorbar()
+
+        return None
+
+    def get_title(self, **kwargs):
+        """ Return title from base title and elements """
+        
+        tstep = kwargs['tstep']
+
+        self.members = 0
+        for model in MODELS:
+            if model == 'median':
+                continue
+            path_template = '{}{}.nc'.format(self.rdatetime.strftime("%Y%m%d"), MODELS[model]['template'])
+            fpath = os.path.join(MODELS[model]['path'], 'netcdf', path_template)
+            if os.path.exists(fpath):
+                self.members += 1
+
+        self.base_title = PROB[self.var]['title']
+        self.cdatetime = self.rdatetime + relativedelta(days=tstep)
+
+        title = super(ForecastProbFigureHandler, self).get_title()
+
+        return title
+
+    def get_figure_layers(self, day=0):
+        """ Get figure layers (GeoJSON trace, colorbar and information box with title)
+
+        Parameters
+        ----------
+        day : int, optional
+            Day, by default 0
+
+        Returns
+        -------
+        list
+            Figure layers
+        """
+        
+        logging.debug('Updating layout ...')
+
+        if self.var and os.path.exists(self.filepath):
+            
+            # Get timestep
+            tstep = int(day)
+
+            # Get trace and colorbar
+            self.generate_colorbar()
+            self.generate_var_tstep_trace(tstep)
+
+            # Get figure title
+            self.fig_title = html.P(html.B(
+                [
+                    item for sublist in self.get_title(varname=self.var, tstep=tstep).split('<br>') 
+                    for item in [sublist, html.Br()]
+                ][:-1]
+            ))
+        else:
+            self.geojson = None
+            self.colorbar = None
+
+            # Get figure title
+            if not self.var:
+                self.fig_title = ""
+            else:
+                self.fig_title = html.P(html.B("DATA NOT AVAILABLE"))
+
+        # Get title information element
+        self.info = self.retrieve_info(self.name)
+        
+        return [self.geojson, self.colorbar, self.info]
+
+
+class ForecastWasFigureHandler(ShapefileFigureHandler):
+    """ Class which handles forecast WAS data """
+
+    def __init__(self, was='burkinafaso', model='median', var='SCONC_DUST', selected_date=None):
+        """ Initialize ForecastWasFigureHandler class
+
+        Parameters
+        ----------
+        was : str, optional
+            Region name, by default 'burkinafaso'
+        model : str, optional
+            Model name, by default 'median'
+        var : str, optional
+            Variable name, by default 'SCONC_DUST'
+        selected_date : str, optional
+            Selected date, by default None
+        """
+        
+        self.name = 'was'
+        super(ForecastWasFigureHandler, self).__init__()
+
+        self.model = model
+        self.was = was
+        self.var = var
+        self.selected_date = selected_date
+
+        self.colormap = WAS[self.was]['colormap']
+        self.hideout_style = WAS[self.was]['hideout_style']
+        self.hideout_style.update({'fillOpacity': OPACITY})
+        self.hover_style = WAS[self.was]['hover_style']
+        self.hover_style.update({'fillOpacity': OPACITY})
+
+        if (self.model in MODELS) and self.selected_date:
+            
+            # Get NetCDF file path
+            self.filepath = NETCDF_TEMPLATE.format(
+                MODELS[self.model]['path'],
+                selected_date,
+                MODELS[self.model]['template']
+            )
+            
+            if os.path.exists(self.filepath):
+                # Read NetCDF file and retrieve timesteps, what (hours, months, etc.) and rdatetime
+                self.timesteps, self.what, self.rdatetime = self.get_time_details()
+            
+                # Correct timesteps to show first timestep of each day ([0, 24, 48, ...])
+                self.timesteps = self.timesteps[::8]
+
+        return None
+
+    def get_regions_data(self, day=0):
+        """ Get regions data
+
+        Parameters
+        ----------
+        day : int, optional
+            Day, by default 0
+
+        Returns
+        -------
+        numpy.ndarray
+            Region names
+        numpy.ndarray
+            Region colors
+        numpy.ndarray
+            Region definitions
+        """
+
+        input_dir = WAS[self.was]['path'].format(was=self.was, format='h5', date=self.selected_date)
+        input_file = WAS[self.was]['template'].format(date=self.selected_date, var=self.var, 
+                                                      format='h5')
+
+        input_path = os.path.join(input_dir, input_file)
+
+        logging.debug("INPUT PATH %s %s", input_path, self.selected_date)
+        if not os.path.exists(input_path):
+            return [], [], []
+
+        df = pd.read_hdf(input_path, 'was_{}'.format(self.selected_date)).set_index('day')
+
+        names, colors, definitions = df.loc['Day{}'.format(day)].values.T
+        
+        return names, colors, definitions
+
+    def get_geojson_url(self, day=0):
+        """ Get GeoJSON url
+
+        Parameters
+        ----------
+        day : int, optional
+            Day, by default 0
+
+        Returns
+        -------
+        str
+            Path to GeoJSON data
+        """
+
+        geojsons_dir = WAS[self.was]['path'].format(was=self.was, format='geojson', 
+                                                    date=self.selected_date)
+        geojson_file = WAS[self.was]['template'].format(date=self.selected_date, var=self.var, 
+                                                        format='geojson').replace('.geojson', 
+                                                        '_{}.geojson'.format(day))
+        geojson_filepath = os.path.join(geojsons_dir, geojson_file)
+        if not os.path.exists(geojson_filepath):
+            logging.debug("ERROR: WAS GEOJSON URL %s", geojson_filepath)
+            return None
+
+        pathlist = os.path.normpath(geojsons_dir).split(os.sep)
+        geojsons_dir_cleaned = os.sep.join(pathlist[pathlist.index('was'):])
+
+        geojson_path = os.path.join(geojsons_dir_cleaned, geojson_file)
+        geojson_url = os.path.join('geojsons', geojson_path)
+
+        logging.debug("WAS GEOJSON URL %s", geojson_url)
+
+        return geojson_url
+
+    def generate_var_tstep_trace(self, day=0):
+        """ Generate GeoJSON trace to be added per day
+
+        Parameters
+        ----------
+        day : int, optional
+            Day, by default 0
+        """
+
+        logging.debug('Adding contours ...')
+
+        day = int(day)
+        names, colors, definitions = self.get_regions_data(day=day)
+        colors = np.array(colors)
+        logging.debug(":::::::::: %s %s %s", names, colors, definitions)
+
+        # Create legend
+        self.legend = self.create_legend(self.colormap)
+
+        # Geojson rendering logic, must be JavaScript as it is executed in clientside.
+        namespace = Namespace("forecastTab", "wasMaps")
+        geojson_path = self.get_geojson_url(day=day)
+        hideout = dict(colorscale=list(self.colormap.values()),
+                       bounds=[i for i in range(len(self.colormap.values()))],
+                       style=self.hideout_style,
+                       colorProp="value")
+        hover_style = arrow_function(self.hover_style)
+        self.geojson = self.retrieve_geojson(geojson_path, namespace, hideout, hover_style)
+
+    def get_title(self, **kwargs):
+        """ Return title from base title and elements """
+
+        tstep = kwargs['day']
+        self.base_title = WAS[self.was]['title']
+        self.cdatetime = self.retrieve_cdatetime(tstep)
+        title = super(ForecastWasFigureHandler, self).get_title()
+
+        return title
+
+    def get_figure_layers(self, day=0):
+        """ Get figure layers (GeoJSON trace, legend and information box with title)
+
+        Parameters
+        ----------
+        day : int, optional
+            Day, by default 0
+
+        Returns
+        -------
+        list
+            Figure layers
+        """
+
+        logging.debug('Updating layout ...')
+        
+        if os.path.exists(self.filepath):
+            # Get trace
+            self.generate_var_tstep_trace(day)
+
+            # Get figure title
+            self.fig_title = html.P(html.B(
+                [
+                    item
+                    for sublist in self.get_title(day=day).split('<br>')
+                    for item in [sublist, html.Br()]
+                ][:-1]
+            ))
+        else:
+            self.geojson = None
+            self.legend = None
+
+            # Get figure title
+            self.fig_title = html.P(html.B("DATA NOT AVAILABLE"))
+
+        # Get title information element
+        self.info = self.retrieve_info(self.name)
+
+        return [self.geojson, self.legend, self.info]
+
+
+class EvaluationGroundFigureHandler(PointsFigureHandler):
+    """ Class which handles AERONET observations data """
+
+    def __init__(self, start_date=None, end_date=None, obs=None, var=None):
+        """_summary_
+
+        Parameters
+        ----------
+        start_date : str, optional
+            Start date, by default None
+        end_date : str, optional
+            End date, by default None
+        obs : str, optional
+            Observations name, by default None
+        var : str, optional
+            Variable name, by default None
+        """
+
+        self.name = obs
+        super(EvaluationGroundFigureHandler, self).__init__()
+        self.circle_options = OBS[obs]['circle_options']
+
+        fday = start_date[:-2] + '01'
+        lday = end_date[:-2] + str(calendar.monthrange(int(end_date[:4]), int(end_date[4:6]))[1])
+        date_range = pd.date_range(fday, lday, freq='M')
+        months = [d.strftime("%Y%m") for d in date_range.to_pydatetime()]
+        filepaths = ["{}.nc".format(os.path.join(OBS[obs]['path'], 'netcdf',
+            OBS[obs]['template'].format(OBS[obs]['obs_var'], month))) for month
+            in months]
+        self.input_files = [nc_file(filepath) for filepath in filepaths if os.path.exists(filepath)]
+        
+        if self.input_files:
+
+            if 'longitude' in self.input_files[0].variables:
+                lon_var = 'longitude'
+                lat_var = 'latitude'
+            else:
+                lon_var = 'lon'
+                lat_var = 'lat'
+
+            lon = self.input_files[0].variables[lon_var][:]
+            lat = self.input_files[0].variables[lat_var][:]
+            self.var = [var for var in self.input_files[0].variables if var == OBS[obs]['obs_var']][0]
+            logging.debug('VARNAME %s', self.var)
+
+            sites_path = os.path.join(DIR_PATH, 'conf/', OBS[obs]['sites'])
+            if os.path.exists(sites_path):
+                sites = pd.read_csv(sites_path)
+                idxs, self.station_names = np.array([[idx, st_name[~st_name.mask].tobytes().decode('utf-8')]
+                                    for idx, st_name in
+                                    enumerate(self.input_files[0].variables['station_name'][:])
+                                    if st_name[~st_name.mask].tobytes().decode('utf-8').upper() in map(str.upper, sites['SITE'])]
+                                    ).T
+
+                logging.debug('IDXS %s', idxs)
+                logging.debug('ST_NAMES %s', self.station_names)
+
+            self.clon = lon[idxs.astype(int)]
+            self.clat = lat[idxs.astype(int)]
+
+            self.values = {
+                self.var: np.concatenate([input_file.variables[self.var][:, idxs.astype(int)] 
+                                         for input_file in self.input_files])
+            }
+
+        return None
+
+    def generate_var_tstep_trace(self):
+        """ Generate GeoJSON trace to be added """
+
+        val = np.ma.masked_where(self.values[self.var]<0., self.values[self.var])
+        notnan = (np.array([i for i in range(val.shape[1]) if not val[:, i].mask.all()]),)
+        clon = self.clon[notnan]
+        clat = self.clat[notnan]
+        cstations = self.station_names[notnan]
+
+        # Create dataframe
+        self.df = pd.DataFrame({
+            'lon': clon.round(2),
+            'lat': clat.round(2),
+            'stations': cstations
+            })  # .T, columns=['lon', 'lat', 'station'])
+        dicts = self.df.to_dict('records')
+
+        # Create geojson
+        # Note: It must be JavaScript as it is executed in clientside
+        geojson_data = dlx.dicts_to_geojson(dicts, lon="lon")
+        namespace = Namespace("evaluationTab", "evaluationMaps")
+        self.geojson = self.retrieve_geojson(geojson_data, namespace)
+
+        return None
+
+    def get_figure_layers(self):
+        """ Get dataframe and figure layers (GeoJSON trace)
+
+        Returns
+        -------
+        pandas.core.frame.DataFrame
+            Dataframe with stations information
+        list
+            Figure layers
+        """
+
+        logging.debug('Updating layout ...')
+
+        if self.input_files:
+            # Get trace
+            self.generate_var_tstep_trace()
+
+        else:
+            self.geojson = None
+            self.df = pd.DataFrame([])
+
+        return self.df, [self.geojson]
+
+
+class EvaluationSatelliteFigureHandler(ContourFigureHandler):
+    """ Class which handles MODIS sensor data """
+
+    def __init__(self, var, obs, tstep, selected_date):
+        """ Initialize EvaluationSatelliteFigureHandler class
+
+        Parameters
+        ----------
+        var : str
+            Variable name
+        obs : str
+            Observations name
+        tstep : int
+            Timestep
+        selected_date : str
+            Selected date
+        """
+
+        self.obs = obs
+        self.name = self.obs
+        super(EvaluationSatelliteFigureHandler, self).__init__()
+        
+        self.var = var
+        self.selected_date = selected_date
+
+        self.bounds = np.array(VARS[self.var.upper()]['bounds']).astype('float32')
+        self.style = dict(weight=0, opacity=0, color='white', dashArray='', fillOpacity=OPACITY)
+        self.colorscale = COLORS
+
+        if self.selected_date:
+            # Get NetCDF file path
+            filedir = OBS[self.obs]['path']
+            filetpl = OBS[self.obs]['template'].format(OBS[self.obs]['obs_var'], 
+                                                       self.selected_date) + '.nc'
+            self.filepath = os.path.join(filedir, 'netcdf', filetpl)
+
+            if os.path.exists(self.filepath):
+                # Read NetCDF file and retrieve timesteps, what (hours, months, etc.) and rdatetime
+                self.timesteps, self.what, self.rdatetime = self.get_time_details()
+
+        return None
+
+    def generate_var_tstep_trace(self, tstep):
+        """ Generate GeoJSON trace to be added per timestep
+
+        Parameters
+        ----------
+        tstep : int
+            Timestep
+        """
+
+        namespace = Namespace("forecastTab", "forecastMaps")
+        data_path = os.path.basename(OBS[self.obs]['path'][:-1])
+        geojson_path = os.path.join('geojsons', GEOJSON_TEMPLATE.format(data_path, 
+            self.selected_date, tstep, self.selected_date, OBS[self.obs]['obs_var']))
+        self.geojson = self.retrieve_geojson(geojson_path, namespace)
+
+        return None
+
+    def generate_colorbar(self):
+        """ Generate colorbar """
+
+        ctg = ["{:d}".format(int(cls)) if cls.as_integer_ratio()[1] == 1 else "{:.1f}".format(cls) 
+               for i, cls in enumerate(self.bounds[1:-1])]
+        indices = list(range(len(ctg) + 2))
+        self.colorbar_info.update({'min': 0,
+                                   'max': len(ctg)+1, 
+                                   'classes': indices,
+                                   'colorscale': COLORS,
+                                   'tickValues': indices[1:-1],
+                                   'tickText': ctg})
+        self.colorbar = self.retrieve_colorbar()
+
+        logging.debug("BOUNDS %s", self.bounds)
+        logging.debug("CTG %s", ctg)
+
+        return None
+
+    def get_title(self, **kwargs):
+        """ Return title from base title and elements """
+
+        varname = kwargs['varname']
+        tstep = kwargs['tstep']
+
+        self.base_title = " ".join([OBS[self.obs]['name'], OBS[self.obs]['title']])
+        self.cdatetime = self.retrieve_cdatetime(tstep)
+        self.step = "{:02d}".format(tstep*FREQ)
+        title = super(EvaluationSatelliteFigureHandler, self).get_title()
+        
+        return title
+
+    def get_figure_layers(self, tstep=0):
+        """ Get figure layers (GeoJSON trace, colorbar and information box with title)
+
+        Parameters
+        ----------
+        tstep : int, optional
+            Timestep, by default 0
+
+        Returns
+        -------
+        list
+            Figure layers
+        """
+
+        logging.debug('Updating layout ...')
+
+        if self.var and os.path.exists(self.filepath):
+            # Get trace and colorbar
+            self.generate_colorbar()
+            self.generate_var_tstep_trace(tstep)
+
+            # Get figure title
+            self.fig_title = html.P(html.B(
+                [
+                    item for sublist in self.get_title(varname=self.var, tstep=tstep).split('<br>') 
+                    for item in [sublist, html.Br()]
+                ][:-1]
+            ))
+        else:
+            self.geojson = None
+            self.colorbar = None
+
+            # Get figure title
+            if self.obs in OBS[self.obs]:
+                title = "{} - DATA NOT AVAILABLE".format(OBS[self.obs]['name'])
+            else:
+                title = "DATA NOT AVAILABLE"
+            self.fig_title = html.P(html.B(title))
+
+        # Get title information element
+        self.info = self.retrieve_info(self.name)
+        
+        return [self.geojson, self.colorbar, self.info]
+
+
+class EvaluationStatisticsFigureHandler(PointsFigureHandler):
+    """ Class which handles evaluation statistics data """
+
+    def __init__(self, network=None, statistic=None, model=None, selection=None):
+        """ Initialize EvaluationStatisticsFigureHandler class
+
+        Parameters
+        ----------
+        network : str, optional
+            Network name, by default None
+        statistic : str, optional
+            Statistic name, by default None
+        model : str, optional
+            Model name, by default None
+        selection : str, optional
+            Period selection, by default None
+        """
+
+        self.name = 'scores'
+        super(EvaluationStatisticsFigureHandler, self).__init__()
+
+        # self.extent = SCORES['extent']
+        self.model = model
+        self.network = network
+        self.statistic = statistic
+        self.selection = selection
+
+        if self.network and self.model and self.statistic and self.selection:
+
+            # Define markers style
+            self.bounds = np.array(STATS_CONF[self.statistic]['bounds'])
+            self.cmap = cm.get_cmap(STATS_CONF[self.statistic]['cmap'], len(self.bounds))
+            self.colormap = {}
+            for i in range(self.cmap.N):
+                self.colormap[i] = matplotlib.colors.rgb2hex(self.cmap(i))
+            self.labels = list(self.colormap.keys())
+            self.colors = list(self.colormap.values())
+            self.circle_options = SCORES['circle_options']
+
+            # Get stations data
+            if network == 'aeronet':
+                self.sites = pd.read_csv(os.path.join(DIR_PATH, 'conf/', OBS[network]['sites']))
+                self.circle_options.update({'radius': 6})
+            else:
+                self.sites = None
+                self.circle_options.update({'radius': 2})
+            
+            # Get selected month / year
+            # Set day to first date of the month to transform into datetime and avoid errors creating title
+            year = int(self.selection[0:4])
+            month = int(self.selection[4:6])
+            self.rdatetime = dt(year, month, 1)
+
+            # Read data
+            self.read_data()
+
+        return None
+
+    def read_data(self):
+        """ Read data """
+
+        # Get HDF5 file
+        filedir = OBS[self.network]['path']
+        filename = "{}_{}.h5".format(self.selection, self.statistic)
+        tab_name = "{}_{}".format(self.statistic, self.selection)
+        self.filepath = os.path.join(filedir, "h5", filename)
+
+        # Read data
+        if os.path.exists(self.filepath):
+            self.data = pd.read_hdf(self.filepath, tab_name)
+            logging.debug('SCORES FILEPATH %s SELECTION %s TAB %s', self.filepath,  self.selection, tab_name)
+
+        return None
+
+    def select_data(self):
+        """ Select data
+
+        Returns
+        -------
+        numpy.ndarray
+            Longitudes
+        numpy.ndarray
+            Latitudes
+        numpy.ndarray
+            Stations
+        numpy.ndarray 
+            Scores
+        numpy.ndarray
+            Correspondence on legend scale
+        """
+
+        # Get coordinates for each site
+        if self.sites is not None:
+            for station in self.sites['SITE']:
+                self.data.loc[self.data['station'] == station, 'lon'] = \
+                    self.sites.loc[self.sites['SITE'] == station, 'LONGITUDE'].values[0]
+                self.data.loc[self.data['station'] == station, 'lat'] = \
+                    self.sites.loc[self.sites['SITE'] == station, 'LATITUDE'].values[0]
+    
+        # Transform empty values into np.nan
+        data = self.data.replace('-', np.nan)
+
+        # Remove continents and stations without coordinates / model score
+        data = data.dropna(subset=['lat', 'lon', self.model])
+
+        # Transform into numeric (if needed)
+        for column in ['lat', 'lon', self.model]:
+            data[column] = pd.to_numeric(data[column])
+
+        # Get coordinates / scores / stations for selected model
+        lon = np.array(data['lon'])
+        lat = np.array(data['lat'])
+        scores = np.array(data[self.model])
+        if self.sites is not None:
+            stations = np.array(data['station'])
+        else:
+            stations = None
+            
+        # Assign color index in colormap to scores
+        res = np.zeros((len(lon)))
+        for point_n, score in enumerate(scores):
+            for label_n, label in enumerate(self.labels):
+                # Skip last position
+                if label_n < self.labels[-1]:
+                    # Below minimum limit, get first color in cmap
+                    if float(score) < self.bounds[0]:
+                        res[point_n] = self.labels[0]
+                        break
+                    # Above maximum limit, get last color in cmap
+                    elif float(score) >= self.bounds[-1]:
+                        res[point_n] = self.labels[-1]
+                        break
+                    # In between, find cmap color in range
+                    elif (float(score) >= self.bounds[label_n]) and (float(score) < self.bounds[label_n+1]):
+                        res[point_n] = self.labels[label_n]
+                        break
+
+        return lon, lat, stations, scores, res
+
+    def generate_var_tstep_trace(self, lon, lat, stations, scores, res):
+        """ Generate GeoJSON trace to be added
+
+        Parameters
+        ----------
+        lon : numpy.ndarray
+            Longitudes
+        lat : numpy.ndarray
+            Latitudes
+        stations : numpy.ndarray
+            Stations
+        scores : numpy.ndarray
+            Scores
+        res : numpy.ndarray
+            Correspondence on legend scale
+        """
+
+        # Create dataframe
+        df = pd.DataFrame({
+            'lon': np.array(lon).round(2),
+            'lat': np.array(lat).round(2),
+            'score': scores.round(2),
+            'value': res
+            })
+        if stations is not None:
+            df['station'] = stations
+            var_list=['station', 'lon', 'lat', 'score']
+        else:
+            var_list=['lon', 'lat', 'score']
+        
+        # Add tooltips (hover information) to map
+        data_dict = self.get_tooltip(df, var_list=var_list)
+
+        # Create geojson
+        geojson_data = dlx.dicts_to_geojson(data_dict, lon="lon")
+        namespace = Namespace("evaluationTab", "evaluationMaps")
+        self.geojson = self.retrieve_geojson(geojson_data, namespace)
+
+    def generate_colorbar(self):
+        """ Generate colorbar """
+
+        bounds = STATS_CONF[self.statistic]['bounds']
+        ctg = ["{}".format(cls) if '.' in str(cls) else "{:d}".format(cls)
+                for i, cls in enumerate(bounds)]
+        indices = list(range(len(bounds)))
+        self.colorbar_info.update({'min': bounds[0],
+                                   'max': bounds[-1],
+                                   'classes': len(bounds)-1,
+                                   'colorscale': self.colors,
+                                   'tickValues': self.bounds,
+                                   'tickText': ctg})
+        self.colorbar = self.retrieve_colorbar()
+
+        return None
+
+    def get_title(self, **kwargs):
+        """ Return title from base title and elements """
+
+        self.model_name = MODELS[self.model]['name']
+        self.network_name = OBS[self.network]['name']
+        self.statistic_name = STATS_CONF[self.statistic]['name']
+        self.base_title = SCORES['title']
+        title = super(EvaluationStatisticsFigureHandler, self).get_title()
+        
+        return title
+
+    def get_figure_layers(self):
+        """ Get figure layers (GeoJSON trace, colorbar and information box with title)
+
+        Returns
+        -------
+        list
+            Figure layers
+        """
+
+        logging.debug('Updating layout ...')
+
+        if (os.path.exists(self.filepath)) and (self.model in self.data.columns):
+            # Get data
+            lon, lat, stations, scores, res = self.select_data()
+
+            # Get trace and colorbar
+            self.generate_colorbar()
+            self.generate_var_tstep_trace(lon, lat, stations, scores, res)
+
+            # Get figure title
+            self.fig_title = html.P(html.B(
+                [
+                    item for sublist in self.get_title().split('<br>') 
+                    for item in [sublist, html.Br()]
+                ][:-1]
+            ))
+        else:
+            self.geojson = None
+            self.colorbar = None
+            self.fig_title = html.P(html.B("DATA NOT AVAILABLE"))
+
+        # Get title information element
+        self.info = self.retrieve_info(self.name)
+
+        return [self.geojson, self.colorbar, self.info]
+
+
+class VisFigureHandler(PointsFigureHandler):
+    """ Class which handles visibility data """
+
+    def __init__(self, selected_date=None):
+        """ Initialize VisFigureHandler class
+
+        Parameters
+        ----------
+        selected_date : str, optional
+            Selected date, by default None
+        """
+
+        self.name = 'vis'
+        super(VisFigureHandler, self).__init__()
+
+        self.selected_date = selected_date
+
+        self.path_tpl = VIS['path']
+        self.xlon = np.array(VIS['xlon'])
+        self.ylat = np.array(VIS['ylat'])
+        self.ec = VIS['ec']
+        self.size = VIS['size']
+        self.freq = VIS['freq']
+        self.colormap = VIS['colormap']
+        self.colors = list(VIS['colormap'].values())
+        self.labels = list(VIS['colormap'].keys())
+        self.values = VIS['values']
+        self.circle_options = VIS['circle_options']
+
+        if self.selected_date:
+            self.rdatetime = dt.strptime(self.selected_date, '%Y%m%d')
+
+        return None
+
+    def read_data(self, tstep):
+        """ Read data
+
+        Parameters
+        ----------
+        tstep : int
+            Timestep
+        """
+
+        # Get CSV file
+        tstep0 = tstep
+        tstep1 = tstep + self.freq
+        logging.info("%s %s %s", self.selected_date, tstep0, tstep1)
+        year = dt.strptime(self.selected_date, '%Y%m%d').strftime('%Y')
+        month = dt.strptime(self.selected_date, '%Y%m%d').strftime('%m')
+        day = dt.strptime(self.selected_date, '%Y%m%d').strftime('%d')
+        self.filepath = self.path_tpl.format(year=year, month=month, day=day, tstep0=tstep0, 
+                                             tstep1=tstep1)
+        
+        # Read data
+        if os.path.exists(self.filepath):
+            self.data = pd.read_table(self.filepath, na_filter=False)
+            logging.debug("VIS FILEPATH %s", self.filepath)
+
+        return None
+
+    def select_data(self, tstep=0):
+        """ Select data
+
+        Parameters
+        ----------
+        tstep : int, optional
+            Timestep, by default 0
+
+        Returns
+        -------
+        numpy.ndarray
+            Longitudes
+        numpy.ndarray
+            Latitudes
+        numpy.ndarray
+            Stations
+        numpy.ndarray
+            Visibilities
+        numpy.ndarray
+            Relative humidities
+        numpy.ndarray
+            Correspondence on legend scale
+        """
+
+        # Uncertain
+        cx = np.where((self.data['WW'].astype(str) == "HZ") | (self.data['WW'].astype(str) == "5")| (self.data['WW'].astype(str) == "05"))
+
+        # Visibility <= 1km
+        c0t = np.where((self.data['VV'] <= 1000))[0]
+        c0x = np.where([c0t == i for i in cx[0]])[-1]
+        c0 = (np.delete(c0t, c0x),)
+
+        # Visibility 1km <= 2km
+        c1t = np.where((self.data['VV'] > 1000) & (self.data['VV'] <= 2000))[0]
+        c1x = np.where([c1t == i for i in cx[0]])[-1]
+        c1 = (np.delete(c1t, c1x),)
+
+        # Visibility 2km <= 5km
+        c2t = np.where((self.data['VV'] > 2000) & (self.data['VV'] <= 5000))[0]
+        c2x = np.where([c2t == i for i in cx[0]])[-1]
+        c2 = (np.delete(c2t, c2x),)
+
+        lon = self.data['LON'].values
+        lat = self.data['LAT'].values
+        stations = self.data['STATION'].values
+        visibility = self.data['VV'] if 'VV' in self.data.columns else []
+        humidity = self.data['HUMIDITY'] if 'HUMIDITY' in self.data.columns else []
+
+        # Make sure that the dtype is not object, this appears in files with missing values
+        humidity = pd.to_numeric(humidity, errors='coerce')
+        
+        # Replace np.nan by -999
+        # In the case of humidity, we want to show the values as int and cannot do so with nan
+        humidity = humidity.replace(float('nan'), -999)
+
+        # Assign colors to values
+        n_points = len(lon)
+        res = np.zeros((n_points))
+        values = (c0, c1, c2, cx)
+        for i, (value, label) in enumerate(zip(values, self.labels)):
+            res[value] = i
+
+        return lon, lat, stations, np.array(visibility), np.array(humidity), res
+
+    def generate_var_tstep_trace(self, lon, lat, stations, visibility, humidity, res, tstep=0):
+        """ Generate GeoJSON trace to be added per timestep
+
+        Parameters
+        ----------
+        lon : numpy.ndarray
+            Longitudes
+        lat : numpy.ndarray
+            Latitudes
+        stations : numpy.ndarray
+            Stations
+        visibility : numpy.ndarray
+            Visibilities
+        humidity : numpy.ndarray
+            Humidities
+        res : tuple
+            Correspondence on legend scale
+        tstep : int, optional
+            Timestep, by default 0
+        """
+
+        if list(lon) and list(lat) and list(stations) and list(visibility) and list(humidity):
+
+            # Create legend
+            self.legend = self.create_legend(self.colormap)
+
+            # Create dataframe
+            df = pd.DataFrame({
+                'station': stations,
+                'lon': lon.round(2),
+                'lat': lat.round(2),
+                'visibility': (visibility/1e3).round(2),
+                'humidity': humidity.astype(int),
+                'value': res
+                })
+        
+            # Replace -999 by np.nan to revert previous change
+            df['humidity'] = df['humidity'].replace(-999, float('nan'))
+
+            # Rename humidity to relative humidity
+            df = df.rename(columns = {'humidity':'relative humidity'})
+
+            # Add tooltips (hover information) to map
+            data_dict = self.get_tooltip(df, 
+                var_list=['station', 'lon', 'lat', 'visibility', 'relative humidity'])
+
+            # Create geojson
+            geojson_data = dlx.dicts_to_geojson(data_dict, lon="lon")
+            namespace = Namespace("observationsTab", "observationsMaps")
+            self.geojson = self.retrieve_geojson(geojson_data, namespace)
+
+        return None
+
+    def get_title(self, **kwargs):
+        """ Return title from base title and elements """
+
+        tstep = None if 'tstep' not in kwargs else kwargs['tstep']
+        if tstep is None:
+            return "NO DATA AVAILABLE"
+        else:
+            self.base_title = VIS['title']
+        
+        self.tstep0 = "{:02d}".format(tstep)
+        self.tstep1 = "{:02d}".format(tstep + self.freq)
+        title = super(VisFigureHandler, self).get_title()
+
+        return title
+
+    def get_figure_layers(self, tstep=0):
+        """ Get figure layers (GeoJSON trace, legend and information box with title)
+
+        Parameters
+        ----------
+        tstep : int, optional
+            Timestep, by default 0
+
+        Returns
+        -------
+        list
+            Figure layers
+        """
+
+        logging.debug('Updating layout ...')
+
+        # Read data
+        if self.selected_date:
+            self.read_data(tstep)
+
+        if os.path.exists(self.filepath):
+            # Get trace
+            tstep = int(tstep)
+            xlon, ylat, stations, visibility, humidity, res = self.select_data(tstep)
+            self.generate_var_tstep_trace(xlon, ylat, stations, visibility, humidity, res, tstep)
+            
+            # Get figure title
+            self.fig_title = html.P(html.B(
+                [
+                    item for sublist in self.get_title(tstep=tstep).split('<br>') 
+                    for item in [sublist, html.Br()]
+                ][:-1]
+            ))
+        else:
+            self.geojson = None
+            self.legend = None
+
+            # Get figure title
+            self.fig_title = html.P(html.B("DATA NOT AVAILABLE"))
+
+        # Get title information element
+        self.info = self.retrieve_info(self.name)
+
+        return [self.geojson, self.legend, self.info]
diff --git a/preproc/interp.py b/preproc/interp.py
deleted file mode 100644
index 7a211faab3fabdc7256b1182b93c692c4a6579c5..0000000000000000000000000000000000000000
--- a/preproc/interp.py
+++ /dev/null
@@ -1,94 +0,0 @@
-#import numpy as np
-import xarray as xr
-import dask
-#from dask.diagnostics import ProgressBar
-#import matplotlib.pyplot as plt
-
-dask.config.set(scheduler='processes')
-
-EXP = {
-    'cams': '../data/models/CAMS/netcdf/20200*.nc4',
-    'monarch': '../data/models/MONARCH/netcdf/20200*.nc4',
-    'dream8-macc': '../data/models/DREAM8-MACC/netcdf/20200*.nc4',
-    'nasa-geos': '../data/models/NASA-GEOS/netcdf/20200*.nc4',
-    'median': '../data/models/median/netcdf/20200*.nc4',
-}
-OBS = '../data/obs/aeronet/netcdf/od550aero_2020*.nc'
-FIL = '../data/obs/aeronet/netcdf/ae440-870aero_20200*.nc'
-
-DEST = '../data/obs/aeronet/feather'
-
-
-def preprocess(ds, n=8):
-    '''keep only the first N timestep for each file'''
-    return ds.isel(time=range(n))
-
-
-def plot_station(i=0):
-
-    obs_ds = xr.open_mfdataset(OBS, parallel=True)
-    filter_ds = xr.open_mfdataset(FIL, parallel=True)
-
-    obs_df = obs_ds['od550aero'].to_dataframe()
-    obs_df.reset_index(inplace=True)
-    obs_df.to_feather(
-        '{}/{}.ft'.format(DEST, 'od550aero'),
-    )
-    filter_df = filter_ds['ae440-870aero'].to_dataframe()
-    filter_df.reset_index(inplace=True)
-    filter_df.to_feather(
-        '{}/{}.ft'.format(DEST, 'ae440-870aero'),
-    )
-
-    obs_lon = obs_ds['longitude'][0].data
-    obs_lat = obs_ds['latitude'][0].data
-
-#     olon = obs_lon.compute()
-#     olat = obs_lat.compute()
-
-#    print("Station with LON: {} and LAT: {}".format(olon[i], olat[i]))
-    # interpolated = []
-    print(obs_ds['od550aero'].shape)
-    print(filter_ds['ae440-870aero'].shape)
-    for exp in EXP:
-        print(exp)
-        exp_ds = xr.open_mfdataset(EXP[exp], concat_dim='time',
-                                   preprocess=preprocess, parallel=True)
-
-        da = exp_ds['od550_dust']
-        da
-        print(exp_ds['od550_dust'].shape)
-        int_data = exp_ds['od550_dust'].interp(lon=obs_lon, lat=obs_lat)
-        print(int_data.shape)
-        int_df = int_data.to_dataframe()
-        int_df.reset_index(inplace=True)
-        int_df.to_feather(
-            '{}/{}.ft'.format(DEST, exp),
-        )
-#        interpolated.append(int_data[:, i, i])
-
-#     for ar in interpolated:
-#         print(ar)
-#     print(obs_ds['od550aero'])
-#     print(filter_ds['ae440-870aero'])
-#     merged = xr.merge(interpolated + [obs_ds['od550aero'][:, i], filter_ds['ae440-870aero'][:, i]],
-#                       compat='no_conflicts',)
-#
-#     fig, axes = plt.subplots()
-#
-#     print("Station with LON: {} and LAT: {}".format(olon[i], olat[i]))
-#     with ProgressBar():
-#         data = merged.compute().astype('float32')
-#         print((data == np.nan).all())
-#         print(data)
-#         data.plot.line()
-#         plt.savefig('test.png')
-#         print('done')
-
-
-if __name__ == "__main__":
-    plot_station()
-#    import sys
-#     i = int(sys.argv[1])
-#     j = int(sys.argv[2])
-#     for s in range(i, j):
diff --git a/preproc/nc2scores_aeronet.py b/preproc/nc2scores_aeronet.py
index c616294b7858656cc3a95ae8bdd60a9c2556cdad..60d194139874897ec319114d1a6b56504228ef29 100755
--- a/preproc/nc2scores_aeronet.py
+++ b/preproc/nc2scores_aeronet.py
@@ -12,7 +12,7 @@ import os
 import sys
 from datetime import datetime
 from dateutil.relativedelta import relativedelta
-from data_handler import ObsTimeSeriesHandler
+from timeseries_handler import EvaluationGroundTimeSeriesHandler
 
 CURRENT_PATH = os.path.abspath(os.path.dirname(__file__))
 VARS = json.load(open(os.path.join(CURRENT_PATH, '../conf/vars.json')))
@@ -110,7 +110,7 @@ def convert2timeseries(model, obs=None, months=[]):
     last_day = (datetime.strptime(last_month_fd, "%Y%m%d") + relativedelta(months=1) - relativedelta(days=1)).strftime("%Y%m%d")
 
     print("**********", months, first_day, last_day, "************")
-    timeseries_obj = ObsTimeSeriesHandler(obs, first_day, last_day, variable, models=model)
+    timeseries_obj = EvaluationGroundTimeSeriesHandler(obs, first_day, last_day, variable, models=model)
     dataframes = timeseries_obj.dataframe
     print(dataframes)
 
diff --git a/preproc/nc2scores_modis.py b/preproc/nc2scores_modis.py
index be0d6bb18d3798b033d83f15318d8f61c8edbe5c..d2588e6cae4b912a57490b2a2e902b9c0e73447b 100755
--- a/preproc/nc2scores_modis.py
+++ b/preproc/nc2scores_modis.py
@@ -13,7 +13,7 @@ import os
 import sys
 from datetime import datetime
 from dateutil.relativedelta import relativedelta
-from data_handler import ObsTimeSeriesHandler
+from timeseries_handler import EvaluationGroundTimeSeriesHandler
 from data_handler import STATS
 
 
@@ -149,7 +149,7 @@ def convert2timeseries(model, obs=None, months=None):
     last_day = (datetime.strptime(last_month_fd, "%Y%m%d") + relativedelta(months=1) - relativedelta(days=1)).strftime("%Y%m%d")
 
     print("**********", months, first_day, last_day, "************")
-    timeseries_obj = ObsTimeSeriesHandler(obs, first_day, last_day, variable, models=model)
+    timeseries_obj = EvaluationGroundTimeSeriesHandler(obs, first_day, last_day, variable, models=model)
     dataframes = timeseries_obj.dataframe
     print(dataframes)
     total_columns = ['model'] + list(STATS.keys())
diff --git a/requirements.txt b/requirements.txt
index 3c34c70e86dba250ac7de2eda22aaddbf84f62b6..d9c0abaea69760fd2dd7b4130a18cb99ca24fbc6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,149 +1,102 @@
-anyio==3.6.2
-argon2-cffi==21.3.0
-argon2-cffi-bindings==21.2.0
-attrs==19.3.0
-Babel==2.11.0
-backcall==0.2.0
-bleach==3.1.5
-bokeh==2.2.3
-Brotli==1.0.7
-certifi==2020.12.5
-cffi==1.15.1
-cftime==1.1.3
-chardet==4.0.0
-click==7.1.2
+attrs==23.1.0
+backcall==0.1.0
+blosc2==2.0.0
+Bottleneck==1.3.7
+cachelib==0.9.0
+certifi==2023.5.7
+cftime==1.6.2
+chardet==3.0.4
+click==8.1.3
 click-plugins==1.1.1
-cligj==0.7.1
-cloudpickle==1.6.0
-contextvars==2.4
+cligj==0.7.2
+cloudpickle==2.2.1
+configobj==5.0.6
+contourpy==1.0.7
 cycler==0.10.0
-dash==2.6.2
-dash-bootstrap-components==0.13.1
+Cython==0.29.35
+dash==2.10.2
+dash-bootstrap-components==1.4.1
 dash-core-components==2.0.0
 dash-daq==0.5.0
-dash-extensions==0.0.71
+dash-extensions==1.0.1
 dash-html-components==2.0.0
 dash-leaflet==0.1.23
 dash-renderer==1.9.1
 dash-table==5.0.0
-dask==2.30.0
-dataclasses==0.8
-decorator==4.4.2
-defusedxml==0.6.0
-distributed==2.30.1
-dnspython==1.16.0
+dask==2023.6.0
+decorator==4.2.1
 EditorConfig==0.12.3
-entrypoints==0.3
-eventlet==0.30.2
 feather-format==0.4.1
-Fiona==1.8.18
-Flask==2.0.0
-Flask-Caching==1.10.1
-Flask-Compress==1.5.0
-fsspec==0.8.4
-future==0.18.2
+Fiona==1.9.4.post1
+Flask==2.2.5
+Flask-Caching==2.0.2
+fonttools==4.39.4
+fsspec==2023.6.0
 geobuf==1.1.1
-geopandas==0.9.0
-gevent==21.1.2
-gif==3.0.0
-greenlet==1.1.2
+geopandas==0.13.2
+gevent==22.10.2
+greenlet==2.0.2
 gunicorn==20.1.0
-HeapDict==1.0.1
-idna==2.10
-immutables==0.14
-importlib-metadata==4.8.3
-ipykernel==5.3.0
+idna==2.5
+importlib-metadata==6.6.0
+iniconfig==2.0.0
 ipython==7.16.1
-ipython-genutils==0.2.0
-ipywidgets==7.5.1
-itsdangerous==2.0.0
-jedi==0.17.1
-Jinja2==3.0.0
-joblib==1.0.1
-jsbeautifier==1.14.0
-json5==0.9.10
-jsonschema==3.2.0
-jupyter==1.0.0
-jupyter-client==6.1.3
-jupyter-console==6.1.0
-jupyter-core==4.6.3
-jupyter-server==1.13.1
-jupyterlab==3.2.9
-jupyterlab-server==2.10.3
-kaleido==0.2.1
-kiwisolver==1.2.0
-locket==0.2.0
-MarkupSafe==2.0.0
-matplotlib==3.2.2
-mistune==0.8.4
-more-itertools==8.7.0
-msgpack==1.0.0
-munch==2.5.0
-nbclassic==0.3.5
-nbconvert==5.6.1
-nbformat==5.0.7
-netCDF4==1.5.3
-notebook==6.0.3
-numexpr==2.7.3
-numpy==1.19.5
-orca==1.6
-orjson==3.6.1
-packaging==20.4
-pandas==1.0.5
-pandocfilters==1.4.2
-parso==0.7.0
-partd==1.1.0
-pexpect==4.8.0
+ipython-genutils==0.1.0
+itsdangerous==2.1.2
+jedi==0.15.1
+Jinja2==3.1.2
+joblib==1.2.0
+jsbeautifier==1.14.8
+kiwisolver==1.1.0
+locket==1.0.0
+MarkupSafe==2.1.3
+matplotlib==3.7.2
+more-itertools==9.1.0
+msgpack==1.0.5
+netCDF4==1.6.4
+numexpr==2.8.4
+numpy==1.24.3
+orjson==3.9.0
+packaging==23.1
+pandas==2.0.2
+parso==0.5.1
+partd==1.4.0
+pexpect==4.3.1
 pickleshare==0.7.5
-Pillow==8.0.1
-plotly==5.10.0
-prometheus-client==0.8.0
-prompt-toolkit==3.0.5
+Pillow==9.5.0
+plotly==5.14.1
+pluggy==1.0.0
+ply==3.9
+prompt-toolkit==2.0.10
 protobuf==3.19.4
-psutil==5.7.3
-ptyprocess==0.6.0
-pyarrow==0.17.1
-pycparser==2.21
-Pygments==2.6.1
-pyparsing==2.4.7
-pyproj==3.0.1
-pyrsistent==0.16.0
-python-dateutil==2.8.1
-pytz==2020.1
-PyYAML==5.3.1
-pyzmq==19.0.1
-qtconsole==4.7.5
-QtPy==1.9.0
-requests==2.25.1
-retrying==1.3.3
-scikit-learn==0.24.1
-scipy==1.5.4
-Send2Trash==1.5.0
-Shapely==1.7.1
-six==1.15.0
-sklearn==0.0
-sniffio==1.2.0
-sortedcontainers==2.3.0
-tables==3.6.1
-tabulate==0.8.10
-tblib==1.7.0
-tenacity==8.0.1
-terminado==0.8.3
-testpath==0.4.4
-threadpoolctl==2.1.0
-toolz==0.11.1
-tornado==6.1
-traitlets==4.3.3
-typing-extensions==3.7.4.3
-urllib3==1.26.5
-Wand==0.6.6
-wcwidth==0.2.5
-webencodings==0.5.1
-websocket-client==1.3.1
-Werkzeug==2.0.0
-widgetsnbextension==3.5.1
-xarray==0.16.2
-zict==2.0.0
-zipp==3.1.0
-zope.event==4.5.0
-zope.interface==5.4.0
+ptyprocess==0.5.2
+py-cpuinfo==9.0.0
+pyarrow==12.0.0
+Pygments==2.2.0
+pyparsing==3.0.9
+pyproj==3.5.0
+PySocks==1.6.8
+pytest==7.3.2
+python-dateutil==2.8.2
+pytz==2023.3
+pyudev==0.21.0
+PyYAML==6.0
+requests==2.20.0
+scikit-learn==1.2.2
+scipy==1.10.1
+shapely==2.0.1
+six==1.16.0
+tables==3.8.0
+tabulate==0.9.0
+tenacity==8.2.2
+threadpoolctl==3.1.0
+toolz==0.12.0
+traitlets==5.9.0
+tzdata==2023.3
+urllib3==1.24.2
+wcwidth==0.2.6
+Werkzeug==2.2.3
+xarray==2023.5.0
+zipp==3.15.0
+zope.event==4.6
+zope.interface==6.0
\ No newline at end of file
diff --git a/router.py b/router.py
index 013c57a0baac7ad349332fa22d82fea5a858fd01..80eeb62755be439fb8d29932d9a1117a021cd765 100644
--- a/router.py
+++ b/router.py
@@ -7,12 +7,12 @@ from dash import dcc
 from dash import html
 from dash.dependencies import Output
 from dash.dependencies import Input
-from data_handler import VARS 
-from data_handler import MODELS
-from data_handler import DEBUG
-from data_handler import PATHNAME
-from data_handler import ALIASES
-from data_handler import ROUTE_DEFAULTS
+from map_handler import VARS 
+from map_handler import MODELS
+from map_handler import DEBUG
+from map_handler import ALIASES
+from map_handler import ROUTE_DEFAULTS
+from ines_core_utils import render404
 
 from tabs.forecast import tab_forecast
 from tabs.forecast import sidebar_forecast
@@ -22,6 +22,7 @@ from tabs.observations import tab_observations
 from tabs.observations import sidebar_observations
 from tabs.fullscreen import go_fullscreen 
 
+import logging
 
 #-------------------- ADD ROUTING FUNCTIONS ----------------------
 def get_input_aliases(route_selections):
@@ -36,13 +37,15 @@ def get_input_aliases(route_selections):
 
 def eval_section_query(queries):
     """pull SECTION var from url query and assign value to appropriate option"""
+    
     if 'section' in queries:
-        if queries['tab']==['forecast-tab']:
+        if queries['tab'] == ['forecast-tab']:
             queries['for_option'] = queries['section']
-        elif queries['tab']==['evaluation-tab']:
+        elif queries['tab'] == ['evaluation-tab']:
             queries['eval_option'] = queries['section']
-        elif queries['tab']==['observations-tab']:
+        elif queries['tab'] == ['observations-tab']:
             queries['obs_option'] = queries['section']
+
     return queries   
 
 def get_url_queries(url, route_defaults=ROUTE_DEFAULTS):
@@ -73,74 +76,36 @@ def render_sidebar(tab='forecast-tab', route_selections=ROUTE_DEFAULTS):
         sidebar_evaluation(route_selections['eval_option'][0]),
         'observations-tab' :
         sidebar_observations(route_selections['obs_option'][0]),
-        #'fullscreen-tab' : 'Full'
     }
-    if tabs[tab] is 'Full':
-        return 
     return tabs[tab]
 
-def render404():
-    """Create a 404 page"""
-    #setup routes for links
-    forecast_link = PATHNAME + "/?tab=forecast"
-    eval_link = PATHNAME + "/?tab=evaluation"
-    obs_link = PATHNAME + "/?tab=observations"
-
-    page = [html.Div(
-            className='background',
-            children=[
-                html.Div(
-                    id='error_div',
-                    children=[html.H2('404 Error', id='error_title'),
-                        html.P("Sorry we can't find the page you were looking for."),
-                        html.P("Here are some helpful links that might help:"),
-                        dcc.Link("Forecast", id='forecast_link',
-                                 href=forecast_link,
-                                 className='error_links',target='_parent',
-                                 refresh=True),
-                        html.Br(),
-                        html.Br(),
-                        dcc.Link("Evaluation", id='evaluation_link',
-                                 href=eval_link,
-                                 className='error_links',target='_parent',
-                                 refresh=True),
-                        html.Br(),
-                        html.Br(),
-                        dcc.Link("Observations", id='observations_link',
-                                 href=obs_link,
-                                 className='error_links',target='_parent',
-                                 refresh=True)
-                        ],
-                    )
-                ]
-            )
-            ]
-    return page
-
 @dash.callback(
-    Output("content", "children"),
-    Input("url", "href"),
-)
+        Output("content", "children"),
+        Input("url", "href"),
+        )
 def router(url):
     """ Get url search queries and build layout for app"""
+    
     route_selections = get_url_queries(url)
-    if DEBUG: print('===== route_selections', route_selections)
-    # try:
-    children = [
-        html.Div(
-            id='app-sidebar',
-            children=render_sidebar(route_selections['tab'][0],
-                route_selections), 
-            className='sidebar'
-        ),
-        dcc.Tabs(id='app-tabs', value=route_selections['tab'][0] , children=[
-            tab_forecast(window=route_selections['for_option'][0], end_date=route_selections['date'][0]),
-            tab_evaluation(route_selections['eval_option'][0]), #nrt or scores
-            tab_observations(route_selections['obs_option'][0]),#rgb or visibility
-            go_fullscreen(),
-        ]),
-    ]
-#     except Exception as err: #This handles when user inputs incorrect URL params
-#         if DEBUG: print("ERROR 404", str(err))
-#         children = render404()
+    logging.debug('===== route_selections %s', route_selections)
+    
+    try:
+        children = [
+                html.Div(
+                    id='app-sidebar',
+                    children=render_sidebar(route_selections['tab'][0],
+                                            route_selections), 
+                    className='sidebar'
+                    ),
+                dcc.Tabs(id='app-tabs', value=route_selections['tab'][0] , children=[
+                    tab_forecast(window=route_selections['for_option'][0], end_date=route_selections['date'][0]),
+                    tab_evaluation(route_selections['eval_option'][0]), #nrt or scores
+                    tab_observations(route_selections['obs_option'][0]),#rgb or visibility
+                    go_fullscreen(),
+                    ]),
+                ]
+    except Exception as err: # This handles when user inputs incorrect URL params
+        logging.error("ERROR 404 %s", str(err))
+        children = render404()
+        
     return children
diff --git a/tabs/evaluation.py b/tabs/evaluation.py
index 602b0bf2608258c7c1a25f84a85f2782366f41eb..3fcf96ddbb423b7b96cf1982977cdd5a187cdee0 100644
--- a/tabs/evaluation.py
+++ b/tabs/evaluation.py
@@ -2,17 +2,15 @@ from dash import dcc
 import dash_bootstrap_components as dbc
 from dash import html
 from dash import dash_table
-from data_handler import DEFAULT_VAR
-from data_handler import DEFAULT_MODEL
-from data_handler import FREQ
-from data_handler import VARS
-from data_handler import MODELS
-from data_handler import OBS
-from data_handler import STYLES
-from data_handler import DATES
-from data_handler import STATS
-from data_handler import MODEBAR_CONFIG
-from data_handler import DISCLAIMER_NO_FORECAST
+from map_handler import DEFAULT_VAR
+from map_handler import DEFAULT_MODEL
+from map_handler import FREQ
+from map_handler import VARS
+from map_handler import MODELS
+from map_handler import OBS
+from map_handler import DATES
+from map_handler import STATS
+from map_handler import DISCLAIMER_MODELS
 
 from datetime import datetime as dt
 from datetime import timedelta
@@ -36,7 +34,7 @@ scores_maps = dbc.Spinner(
                             id='obs-models-dropdown-modal',
                             options=[{'label': MODELS[model]['name'],
                                       'value': model} for model in MODELS],
-                            value=DEFAULT_MODEL,
+                            # value=DEFAULT_MODEL,
                             clearable=False,
                             searchable=False,
                             # className="sidebar-dropdown"
@@ -52,7 +50,7 @@ scores_maps = dbc.Spinner(
                             options=[
                                 {'label': v, 'value': l} for l, v in STATS.items() if l != 'totn'
                             ],
-                            value='bias',
+                            # value='bias',
                             clearable=False,
                             searchable=False,
                             # className="sidebar-dropdown"
@@ -61,13 +59,10 @@ scores_maps = dbc.Spinner(
                         style={ 'width': '10rem' },
                         className="linetool",
                     ),
-                    dcc.Graph(
-                        id='scores-map-modalbody',
-                        figure={},
-                        config=MODEBAR_CONFIG,  # {"displayModeBar": False}
-                    ),
-                    html.Div(DISCLAIMER_NO_FORECAST,
-                        className='disclaimer')
+                    html.Div(children={},
+                             id="scores-map-modalbody"
+                            ),
+                    html.Div(DISCLAIMER_MODELS, className='disclaimer')
                     ]
                 )],
                 id='scores-map-modal',
@@ -235,7 +230,7 @@ def tab_evaluation(window='nrt'):
                                 id='obs-models-dropdown',
                                 options=[{'label': MODELS[model]['name'],
                                           'value': model} for model in MODELS],
-                                #value=[default_model,],
+                                # value=[DEFAULT_MODEL,],
                                 className="sidebar-dropdown"
                             )
                         ],
@@ -254,7 +249,7 @@ def tab_evaluation(window='nrt'):
                                 options=[
                                     {'label': v, 'value': l} for l, v in STATS.items()
                                 ],
-                                #value=[default_model,],
+                                # value=[DEFAULT_MODEL,],
                                 className="sidebar-dropdown"
                             )
                         ],
@@ -272,7 +267,7 @@ def tab_evaluation(window='nrt'):
                             {'label': 'Annual', 'value': 'annual'},
                         ],
                         placeholder='Select timescale',
-                        value='montly',
+                        # value='monthly',
                         clearable=False,
                         searchable=False
                     )],
@@ -286,7 +281,7 @@ def tab_evaluation(window='nrt'):
                         options=[
                         ],
                         placeholder='Select month',
-                        # value='montly',
+                        # value='monthly',
                         clearable=False,
                         searchable=False
                     )],
@@ -431,24 +426,24 @@ def sidebar_evaluation(window='nrt'):
             searchable=False,
             optionHeight=70,
             disabled=True,
-        )],
-        id='evaluation-variable',
-        className="sidebar-first-item",
-    ),
-    html.Div([
-        dbc.Button("Visual comparison",
-            color="link",
-            id='nrt-evaluation',
-            style = nrt_style
-        )],
-        className="sidebar-item",
-    ),
-    html.Div([
-        dbc.Button("Statistics",
-            color="link",
-            id='scores-evaluation',
-            style = scores_style
-        )],
-        className="sidebar-item",
-    ),
-]
+            )],
+                     id='evaluation-variable',
+                     className="sidebar-first-item",
+                     ),
+            html.Div([
+                dbc.Button("Visual comparison",
+                           color="link",
+                           id='nrt-evaluation',
+                           style = nrt_style
+                           )],
+                     className="sidebar-item",
+                     ),
+            html.Div([
+                dbc.Button("Statistics",
+                           color="link",
+                           id='scores-evaluation',
+                           style = scores_style
+                           )],
+                     className="sidebar-item",
+                     ),
+            ]
diff --git a/tabs/evaluation_callbacks.py b/tabs/evaluation_callbacks.py
index 7a5b1162309a10049476c4784d98da5c5527c6c0..d5e18f191064c22975b3c966a1b9afc451847005 100644
--- a/tabs/evaluation_callbacks.py
+++ b/tabs/evaluation_callbacks.py
@@ -8,20 +8,23 @@ from dash.dependencies import Input
 from dash.dependencies import State
 from dash.exceptions import PreventUpdate
 import dash_leaflet as dl
-from data_handler import DEFAULT_VAR
-from data_handler import VARS
-from data_handler import MODELS
-from data_handler import OBS
-from data_handler import DEBUG
-from data_handler import END_DATE
-from data_handler import MODEBAR_CONFIG_TS
-from data_handler import MODEBAR_LAYOUT_TS
-from data_handler import DISCLAIMER_NO_FORECAST
-from data_handler import DISCLAIMER_OBS
-from data_handler import cache, cache_timeout
 
+from map_handler import DEFAULT_VAR
+from map_handler import VARS
+from map_handler import MODELS
+from map_handler import OBS
+from map_handler import DEBUG
+from map_handler import END_DATE
+from map_handler import MODEBAR_CONFIG_TS
+from map_handler import MODEBAR_LAYOUT_TS
+from map_handler import DISCLAIMER_MODELS
+from map_handler import DISCLAIMER_OBS
+from map_handler import cache, cache_timeout
 from tabs.evaluation import tab_evaluation
 from tabs.evaluation import STATS
+from ines_core_utils import extend_list
+from utils import format_floats
+from utils import alphabetize_stations
 
 from datetime import datetime as dt
 from datetime import timedelta
@@ -30,22 +33,13 @@ import pandas as pd
 import orjson
 import os.path
 from random import random
+import logging
 
 
 SCORES = list(STATS.keys())
 
 
-def extend_l(l):
-    """ Estend list of lists to a flat list """
-    res = []
-    for x in l:
-        res.extend(x)
-    if not isinstance(res, list):
-        res = [res]
-    return res
-
-
-#def register_callbacks(app, cache, cache_timeout):
+# def register_callbacks(app, cache, cache_timeout):
 #    """ Registering callbacks """
 
 @dash.callback(
@@ -57,14 +51,31 @@ def extend_l(l):
     prevent_initial_call=True
 )
 def render_evaluation_tab(nrtbutton, scoresbutton):
-    """ Function rendering requested tab """
+    """ Render evaluation tab
+
+    Parameters
+    ----------
+    nrtbutton : int
+        Number of clicks on Visual Comparison button
+    scoresbutton : int
+        umber of clicks on Statistics button
+
+    Returns
+    -------
+    dash.dcc.Tab.Tab
+        Tab
+    dict
+        Font weight for Visual Comparison button
+    dict
+        Font weight for Statistics button
+    """
+
     bold = { 'fontWeight': 'bold' }
     norm = { 'fontWeight': 'normal' }
     ctx = dash.callback_context
 
     if ctx.triggered:
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
-
         if button_id == "nrt-evaluation" and nrtbutton:
             return tab_evaluation('nrt'), bold, norm
         elif button_id == "scores-evaluation" and scoresbutton:
@@ -81,7 +92,23 @@ def render_evaluation_tab(nrtbutton, scoresbutton):
     prevent_initial_call=True
 )
 def update_time_selection(timescale, network):
-    """ Update time selection among different networks """
+    """ Update time selection among different networks
+
+    Parameters
+    ----------
+    timescale : str
+        Selected timescale (Monthly, Seasonal or Annual)
+    network : str
+        Network name
+
+    Returns
+    -------
+    list
+        List of dicts containing reference to dates (e.g. {'label': 'May 2022', 'value': '202205'})
+    str
+        Selection label
+    """
+
     if timescale is None:
         raise PreventUpdate
 
@@ -121,7 +148,7 @@ def update_time_selection(timescale, network):
     return ret, placeholder
 
 def _no_modis_data():
-    """ Return the data needed to make MODIS table output NO DATA"""
+    """ Return the data needed to make MODIS table output NO DATA """
     return [{'name': 'NO DATA', 'id': ''}], [], { 'display': 'block'}
 
 @dash.callback(
@@ -136,21 +163,44 @@ def _no_modis_data():
      State('obs-selection-dropdown', 'value')],
     prevent_initial_call=True
 )
-def modis_scores_tables_retrieve(n, models, stat, network, timescale, selection):
-    """ Read scores tables and show data """
-
-    if not n or network != 'modis':
+def modis_scores_tables_retrieve(n_clicks, models, score, network, timescale, selection):
+    """ Read scores tables and show data for MODIS
+
+    Parameters
+    ----------
+    n_clicks : int
+        Number of clicks on APPLY button
+    models : str, list
+        Model names
+    score : str
+        Statistic
+    network : str
+        Network name
+    timescale : str
+        Timescale
+    selection : str
+        Period selection
+
+    Returns
+    -------
+    list
+        Column names
+    pandas.core.frame.DataFrame
+        Dataframe with statistics information
+    """
+
+    if not n_clicks or network != 'modis':
         return dash.no_update, dash.no_update, { 'display': 'none' }
 
     if isinstance(models, str):
         models = [models]
 
-    if isinstance(stat, str):
-        stat = [stat]
+    if isinstance(score, str):
+        score = [score]
 
-    stat = ['model'] + stat
+    score = ['model'] + score
 
-    if DEBUG: print("###########", models, stat, network, timescale, selection, n)
+    logging.debug("########### %s %s %s %s %s %s", models, score, network, timescale, selection, n_clicks)
     filedir = OBS[network]['path']
     filename = f"{selection}_scores.h5"
     tab_name = f"total_{selection}"
@@ -158,22 +208,21 @@ def modis_scores_tables_retrieve(n, models, stat, network, timescale, selection)
     if not os.path.exists(filepath):
         return _no_modis_data()
     df = pd.read_hdf(filepath, tab_name)
-    ret = df.loc[df['model'].isin(models), stat]
+    ret = df.loc[df['model'].isin(models), score]
     ret['model'] = ret['model'].map({k:MODELS[k]['name'] for k in MODELS})
-    if DEBUG:
-        print('---', ret.columns)
-        print('---', ret.to_dict('records'))
+    logging.debug('--- %s', ret.columns)
+    logging.debug('--- %s', ret.to_dict('records'))
     # Check if there is any data in returned table, return No Data if not
     if len(ret.to_dict('records')) < 1:
         return _no_modis_data()
     columns = [{'name': i in SCORES and
         STATS[i] or '', 'id': i} for
-        i in stat]
+        i in score]
     return columns, ret.replace('_', ' ', regex=True).to_dict('records'), { 'display': 'block' }
 
 
 @dash.callback(
-    [Output('scores-map-modalbody', 'figure'),
+    [Output('scores-map-modalbody', 'children'),
      Output('scores-map-modal', 'is_open'),
      Output('obs-models-dropdown-modal', 'value'),
      Output('obs-statistics-dropdown-modal', 'value')],
@@ -187,87 +236,76 @@ def modis_scores_tables_retrieve(n, models, stat, network, timescale, selection)
 )
 @cache.memoize(timeout=cache_timeout)
 def scores_maps_retrieve(n_clicks, model, score, network, selection, orig_model, orig_stats):
-    """ Read scores tables and plot maps """
-    from tools import get_scores_figure
+    """ Read scores tables and plot maps
+
+    Parameters
+    ----------
+    n_clicks : int
+        Number of clicks on APPLY button
+    model : str
+        Model name
+    score : str
+        Statistic
+    network : str
+        Network name
+    selection : str
+        Period selection
+    orig_model : list
+        Selected model
+    orig_stats : list
+        Selected statistics
+
+    Returns
+    -------
+    dash_leaflet.Map
+        Figure
+    bool
+        Indicates whether the modal window is shown or not
+    str
+        Model name
+    str
+        Score name
+    """
+
+    from callback_tools import get_evaluation_statistics_figure
+    from callback_tools import get_figure
+
     mb = MODEBAR_LAYOUT_TS
 
     ctx = dash.callback_context
 
-    if DEBUG:
-        print(':::', n_clicks, model, score, network, selection)
+    logging.debug('::: %s %s %s %s %s', n_clicks, model, score, network, selection)
     if ctx.triggered:
+
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
         if button_id != "scores-map-apply":
             if model is not None and score is not None:
-                if DEBUG:
-                    print('::: 1 :::')
-                figure = get_scores_figure(network, model, score, selection)
-                figure.update_layout(mb)
-                return figure, True, model, score
+                logging.debug('::: 1 :::')
+                layers = get_evaluation_statistics_figure(network, model, score, selection)
+                fig = get_figure(layers=layers)
+                return fig, True, model, score
 
             raise PreventUpdate
 
         if orig_model and orig_stats:
-            if DEBUG:
-                print(':::', orig_model, orig_stats, ':::')
+            logging.debug('::: %s %s :::', orig_model, orig_stats)
             curr_model = [mod for mod in MODELS if mod in orig_model][0]
-            curr_stat  = [sc for sc in SCORES if sc in orig_stats][0]
-            figure = get_scores_figure(network, curr_model, curr_stat, selection)
-            figure.update_layout(mb)
-            return figure, True, curr_model, curr_stat
+            curr_score  = [sc for sc in SCORES if sc in orig_stats][0]
+            layers = get_evaluation_statistics_figure(network, curr_model, curr_score, selection)
+            fig = get_figure(layers=layers)
+
+            return fig, True, curr_model, curr_score
         else:
-            print('::: 2.5 :::')
-            figure = get_scores_figure(network, model, score, selection)
-            figure.update_layout(mb)
-            return figure, True, model, score
+            logging.debug('::: 2.5 :::')
+            layers = get_evaluation_statistics_figure(network, model, score, selection)
+            fig = get_figure(layers=layers)
+            return fig, True, model, score
 
     return dash.no_update, False, dash.no_update, dash.no_update  # PreventUpdate
 
-def format_floats(dataframe):
-    """This function takes a dataframe and changes all columns except for 'station'
-    so that floats will be formatted to 2 digits after the decimal place"""
-    for col in dataframe.columns:
-        # check if the column is not 'station'
-        if col != 'station':
-            # convert the column to a string to allow for string formatting
-            dataframe[col] = dataframe[col].astype(str)
-            # iterate over the values in the column
-            for i, val in enumerate(dataframe[col]):
-                # check if the value is a float
-                if '.' in val:
-                    # if so, format it to have 2 decimal places
-                    dataframe.at[i, col] = '{:.2f}'.format(float(val))
-    return dataframe
-
-def alphabetize_stations(dataframe):
-    """ This will alphabetize the stations for each region in the aeronet stats table"""
-    # Define a list of regions to sort between (in the desired order)
-    regions = ['Europe', 'Mediterranean', 'MiddleEast', 'NAfrica', 'Total']
-    region_dfs = []
-    # Iterate over each pair of consecutive regions and sort the rows between them
-    for i in range(len(regions)-1):
-        # Get the indices of the current and next regions
-        current_region_idx = dataframe[dataframe['station'] == regions[i]].index[0]
-        next_region_idx = dataframe[dataframe['station'] == regions[i+1]].index[0]
-        # Slice the dataframe to select the rows between the current and next regions
-        subset_df = dataframe.loc[current_region_idx+1:next_region_idx-1]
-        # Sort the rows alphabetically based on the 'station' column
-        subset_df = subset_df.sort_values(by='station')
-        # Create a new dataframe containing only the current region row
-        current_region_row = dataframe.loc[current_region_idx].to_frame().T
-        # Append the current region row and sorted subset dataframe to the list of region DataFrames
-        region_dfs.append(current_region_row)
-        region_dfs.append(subset_df)
-    # Add the 'Total' row back to the end of the sorted dataframe
-    total_row_idx = dataframe[dataframe['station'] == 'Total'].index[0]
-    total_row = dataframe.loc[total_row_idx].to_frame().T
-    region_dfs.append(total_row)
-    # Concatenate all of the region DataFrames into a single sorted DataFrame
-    sorted_df = pd.concat(region_dfs)
-    return sorted_df
 
 @dash.callback(
-    extend_l([
+    extend_list([
       [Output(f'aeronet-scores-table-{score}', 'columns'),
        Output(f'aeronet-scores-table-{score}', 'data'),
        Output(f'aeronet-scores-table-{score}', 'style_table'),
@@ -282,33 +320,44 @@ def alphabetize_stations(dataframe):
      State('obs-network-dropdown', 'value'),
      State('obs-timescale-dropdown', 'value'),
      State('obs-selection-dropdown', 'value')] +
-    extend_l([[
+    extend_list([[
         State(f'aeronet-scores-table-{score}', 'columns'),
         State(f'aeronet-scores-table-{score}', 'data'),
         State(f'aeronet-scores-table-{score}', 'style_table')]
         for score in SCORES]),
     prevent_initial_call=True
 )
-def aeronet_scores_tables_retrieve(n, *args):
-    """ Read scores tables and show data """
+def aeronet_scores_tables_retrieve(n_clicks, *args):
+    """ Read scores tables and show data for AERONET
+
+    Parameters
+    ----------
+    n_clicks : int
+        Number of clicks on APPLY button
+
+    Returns
+    -------
+    list
+        Dataframe columns, data, tables style, selected cells and active cells
+    """
 
     ctx = dash.callback_context
     active_cells = list(args[:len(SCORES)])
     tables = list(args[-len(SCORES)*3:])
-    if DEBUG: print("ACTIVES", active_cells)
+    logging.debug("ACTIVES %s", active_cells)
 
-    if DEBUG: print("###########", args[len(SCORES):-len(SCORES)*3])
+    logging.debug("########### %s", args[len(SCORES):-len(SCORES)*3])
     models, stat, network, timescale, selection = args[len(SCORES):-len(SCORES)*3]
 
     if ctx.triggered:
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
-        if DEBUG: print("BUTTON", button_id)
+        logging.debug("BUTTON %s", button_id)
         if button_id not in ['scores-apply'] + [f'aeronet-scores-table-{score}'
                                                 for score in SCORES]:
             raise PreventUpdate
 
-    if not n or network != 'aeronet':
-        return extend_l([[dash.no_update, dash.no_update, { 'display': 'none' },
+    if not n_clicks or network != 'aeronet':
+        return extend_list([[dash.no_update, dash.no_update, { 'display': 'none' },
                           dash.no_update, dash.no_update] for _ in SCORES])
 
     # ORDER is IMPORTANT
@@ -322,7 +371,7 @@ def aeronet_scores_tables_retrieve(n, *args):
 
     models = ['station'] + models
 
-    if DEBUG: print("@@@@@@@@@@@", models, stat, network, timescale, selection, n, len(tables))
+    logging.debug("@@@@@@@@@@@ %s %s %s %s %s %s %s", models, stat, network, timescale, selection, n_clicks, len(tables))
     filedir = OBS[network]['path']
 
     stat_idxs = [SCORES.index(st) for st in stat]
@@ -348,15 +397,15 @@ def aeronet_scores_tables_retrieve(n, *args):
             tab_name = "{}_{}".format(SCORES[table_idx], selection)
             filepath = os.path.join(filedir, "h5", filename)
             if not os.path.exists(filepath):
-                if DEBUG: print ("TABLES 0", tables)
+                logging.debug ("TABLES 0 %s", tables)
                 #Build a no_data list of values to return
                 no_data = []
                 for _ in range(len(SCORES)):
                     no_data += [[], [], {'display': 'block'}, dash.no_update, None]
                     # Add no data update for UI output only for 1 output
                     no_data[0].append({'name':['NO DATA'], 'id':'station'})
-                if DEBUG: print ("TABLES 1", tables)
-                if DEBUG: print ("No Data Table ", no_data)
+                logging.debug ("TABLES 1 %s", tables)
+                logging.debug ("No Data Table %s", no_data)
                 return no_data
 
             df = pd.read_hdf(filepath, tab_name)
@@ -369,15 +418,14 @@ def aeronet_scores_tables_retrieve(n, *args):
                 i in models]
             # replace "tables" data
             if curr_active_cell is not None:
-                if DEBUG: print("ACTIVE", curr_active_cell)
+                logging.debug("ACTIVE %s", curr_active_cell)
                 curr_data = tables[obj_idx+1]
                 if not curr_data:
                     continue
                 row_number = curr_active_cell['row']
                 # 1st case:
-                if DEBUG:
-                    print('CURRDATA', curr_data)
-                    print('ROWNUMBER', row_number)
+                logging.debug('CURRDATA %s', curr_data)
+                logging.debug('ROWNUMBER %s', row_number)
                 value = curr_data[row_number]['station']
                 if value not in areas[:-1]:
                     raise PreventUpdate
@@ -390,14 +438,13 @@ def aeronet_scores_tables_retrieve(n, *args):
                         tables[obj_idx+1] = [table_row
                                 for table_row in curr_data
                                         if curr_data.index(table_row) < row_number] + \
-                                        df.iloc[val_idx:foll_idx-1][models].to_dict('rows') + \
+                                        df.iloc[val_idx:foll_idx-1][models].to_dict('records') + \
                                         [table_row for table_row in curr_data
                                          if curr_data.index(table_row) > row_number]
                     else:
                         foll_area = areas[areas.index(value)+1]
-                        if DEBUG:
-                            print("'''", curr_data)
-                            print("---", foll_area)
+                        logging.debug("''' %s", curr_data)
+                        logging.debug("--- %s", foll_area)
                         foll_idx = curr_data.index([row for row in curr_data
                                                     if row['station'] == foll_area][0])
                         tables[obj_idx+1] = [table_row
@@ -426,8 +473,9 @@ def aeronet_scores_tables_retrieve(n, *args):
             ret_tables[ret_idx+4] = dash.no_update
 
 
-    if DEBUG: print('LEN', len(ret_tables))
-    if DEBUG: print ("TABLES RET", ret_tables)
+    logging.debug('LEN %s', len(ret_tables))
+    logging.debug ("TABLES RET %s", ret_tables)
+
     return ret_tables
 
 
@@ -442,25 +490,53 @@ def aeronet_scores_tables_retrieve(n, *args):
     prevent_initial_call=True
 )
 @cache.memoize(timeout=cache_timeout)
-def show_eval_modis_timeseries(nclicks, coords, date, obs, model):
-    """ Retrieve MODIS evaluation timeseries according to station selected """
-    from tools import get_timeseries
-    if coords is None or nclicks == 0:
+def show_eval_modis_timeseries(n_clicks, coords, date, obs, model):
+    """ Retrieve MODIS evaluation timeseries according to station selected
+
+    Parameters
+    ----------
+    n_clicks : int
+        Number of clicks on EXPLORE TIMESERIES button
+    coords : list
+        Latitude, longitude and value on coordinates
+    date : str
+        Selected date
+    obs : str
+        Observations name
+    model : str
+        Model name
+
+    Returns
+    -------
+    dash_bootstrap_components._components.ModalBody.ModalBody
+        Timeseries modal window
+    bool
+        Indicates whether the modal window is shown or not
+    """
+
+    from callback_tools import get_timeseries
+    if coords is None or n_clicks == 0:
         raise PreventUpdate
 
     ctxt = dash.callback_context.triggered[0]["prop_id"].split(".")[0]
-    if DEBUG: print("CTXT", ctxt, type(ctxt))
-    if not ctxt or ctxt is None or ctxt != 'ts-eval-modis-button':  #  or nclicks == 0:P:
+    logging.debug("CTXT %s %s", ctxt, type(ctxt))
+    if not ctxt or ctxt is None or ctxt != 'ts-eval-modis-button':  #  or n_clicks == 0:P:
         raise PreventUpdate
 
-    if DEBUG: print('TRIGGER', ctxt, type(ctxt))
+    logging.debug('TRIGGER %s %s', ctxt, type(ctxt))
     lat, lon, val = coords
-    print(coords, date)
+    logging.debug(" %s %s ", coords, date)
     models = [obs, model]  # [model for model in MODELS]
-    if DEBUG: print('SHOW MODIS EVAL TS"""""', coords)
+    logging.debug('SHOW MODIS EVAL TS""""" %s', coords)
     figure = get_timeseries(models, date, DEFAULT_VAR, lat, lon)
     mb = MODEBAR_LAYOUT_TS
     figure.update_layout(mb)
+    print(type(dbc.ModalBody(
+        dcc.Graph(
+            id='timeseries-eval-modal',
+            figure=figure,
+            config=MODEBAR_CONFIG_TS
+        ))))
     return dbc.ModalBody(
         dcc.Graph(
             id='timeseries-eval-modal',
@@ -478,26 +554,47 @@ def show_eval_modis_timeseries(nclicks, coords, date, obs, model):
      State('eval-date-picker', 'date'),
      State('obs-mod-dropdown', 'value')],
 )
-def modis_popup(click_data, mapid, date, model):
-    """ Manages popup info for modis """
-    from tools import get_single_point
-    if DEBUG: print("CLICK:", str(click_data))
+def modis_popup(click_data, figure, date, model):
+    """ Manage popup info for MODIS
+
+    Parameters
+    ----------
+    click_data : list
+        Coordinates
+    figure : list
+        Figure elements
+    date : str
+        Selected date
+    model : str
+        Model name
+
+    Returns
+    -------
+    list
+        Latitude, longitude and value on coordinates
+    list
+        Figure elements with map marker
+    """
+    
+    from callback_tools import get_single_point
+
+    logging.debug("CLICK: %s", str(click_data))
     if not click_data:
         raise PreventUpdate
     ctxt = dash.callback_context.triggered[0]["prop_id"].split(".")[0]
     ctxt = orjson.loads(dash.callback_context.triggered[0]["prop_id"].split(".")[0])
-    if DEBUG: print("CTXT", ctxt, type(ctxt))
+    logging.debug("CTXT %s %s", ctxt, type(ctxt))
     if not ctxt or ctxt is None or ctxt != {'index': 'modis', 'tag': 'modis-map'}:
         raise PreventUpdate
 
     lat, lon = click_data
     value = get_single_point(model, date, 0, DEFAULT_VAR, lat, lon)
-    if DEBUG: print("VALUE", value)
+    logging.debug("VALUE %s", value)
 
     if not value:
         raise PreventUpdate
 
-    if DEBUG: print("VALUE", value)
+    logging.debug("VALUE %s", value)
     try:
         valid_dt = dt.strptime(date, '%Y%m%d') + timedelta(hours=12)
     except:
@@ -534,7 +631,7 @@ def modis_popup(click_data, mapid, date, model):
         className='popup-map-point'
     )
 
-    return [lat, lon, value], mapid + [marker]
+    return [lat, lon, value], figure + [marker]
 
 
 @dash.callback(
@@ -547,30 +644,51 @@ def modis_popup(click_data, mapid, date, model):
     prevent_initial_call=True
 )
 @cache.memoize(timeout=cache_timeout)
-def stations_popup(click_data, mapid, stations):
-    """ Manages popup info for aeronet """
-    if not click_data:
+def stations_popup(click_data, figure, stations):
+    """ Manage popup info for AERONET
+
+    Parameters
+    ----------
+    click_data : list
+        Coordinates
+    figure : list
+        Figure elements
+    stations : str
+        Stations
+
+    Returns
+    -------
+    dict
+        Dataframe with stations information
+    list
+        Figure elements with map marker
+    None
+        Cleared coordinates
+    """
+
+    if not click_data or not stations:
         raise PreventUpdate
-
-    if DEBUG: print("CLICK:", str(click_data))
+    
+    logging.debug("CLICK: %s", str(click_data))
 
     ctxt = dash.callback_context.triggered[0]["prop_id"].split(".")[0]
-    if DEBUG: print("CTXT", ctxt, type(ctxt))
+    logging.debug("CTXT %s %s", ctxt, type(ctxt))
     if not ctxt or ctxt is None:
         raise PreventUpdate
 
     trigger = orjson.loads(ctxt)
-    if DEBUG: print('TRIGGER', trigger, type(trigger))
+    logging.debug('TRIGGER %s %s', trigger, type(trigger))
 
     if trigger != {'index': 'None', 'tag': 'empty-map'}:
         raise PreventUpdate
 
     df_stations = pd.DataFrame(stations)
+
     lat, lon = click_data
     curr_station = df_stations[(df_stations['lon'].round(2) == round(lon, 2)) & \
         (df_stations['lat'].round(2) == round(lat, 2))]['stations'].values
 
-    if DEBUG: print("CURR_STATION", curr_station)
+    logging.debug("CURR_STATION %s", curr_station)
 
     if not curr_station:
         raise PreventUpdate
@@ -608,22 +726,22 @@ def stations_popup(click_data, mapid, stations):
     curr_data = df_stations[(df_stations['lon'].round(2) == round(lon, 2)) & \
         (df_stations['lat'].round(2) == round(lat, 2))].to_dict()
 
-    print("MARKER", marker.to_plotly_json())
-    last = mapid[-1]
+    logging.debug("MARKER %s", marker.to_plotly_json())
+    last = figure[-1]
     if last['type'] == 'Popup':
-        mapid[-1] = marker.to_plotly_json()
+        figure[-1] = marker.to_plotly_json()
     else:
-        mapid.append(marker.to_plotly_json())
-    print("LAST", type(mapid), type(last), last)
-    for _, log in enumerate(mapid):
+        figure.append(marker.to_plotly_json())
+    logging.debug("LAST %s %s %s", type(figure), type(last), last)
+    for _, log in enumerate(figure):
         if log is not None:
-            # mapid[pos]['id']['random'] =
+            # figure[pos]['id']['random'] =
             if DEBUG:
-                print("********", type(log), log.keys())
-                # print(log['type'])
-    #Clear the click_data so that repeat clicks continue to call the callback
+                logging.debug("******** %s %s", type(log), log.keys())
+                # logging.debug(log['type'])
+    # Clear the click_data so that repeat clicks continue to call the callback
     click_data = None
-    return curr_data, mapid, click_data
+    return curr_data, figure, click_data
 
 
 @dash.callback(
@@ -638,32 +756,56 @@ def stations_popup(click_data, mapid, stations):
     prevent_initial_call=True
 )
 @cache.memoize(timeout=cache_timeout)
-def show_eval_aeronet_timeseries(nclicks, cdata, start_date, end_date, obs, model):
-    """ Retrieve AERONET evaluation timeseries according to station selected """
-    from tools import get_eval_timeseries
+def show_eval_aeronet_timeseries(n_clicks, cdata, start_date, end_date, obs, model):
+    """ Retrieve AERONET evaluation timeseries according to selected station
+
+    Parameters
+    ----------
+    n_clicks : int
+        Number of clicks on EXPLORE TIMESERIES button
+    cdata : str
+        Current station data
+    start_date : str
+        Start date
+    end_date : str
+        End date
+    obs : str
+        Observations name
+    model : str
+        Model name
+
+    Returns
+    -------
+    dash_bootstrap_components._components.ModalBody.ModalBody
+        Timeseries modal window
+    bool
+        Indicates whether the modal window is shown or not
+    """
+
+    from callback_tools import get_eval_timeseries
     ctxt = dash.callback_context.triggered[0]["prop_id"].split(".")[0]
-    if DEBUG: print("CTXT", ctxt, type(ctxt))
+    logging.debug("CTXT %s %s", ctxt, type(ctxt))
     if not ctxt or ctxt is None:
         raise PreventUpdate
 
-    if ctxt != 'ts-eval-button' or nclicks == 0:
+    if ctxt != 'ts-eval-button' or n_clicks == 0:
         raise PreventUpdate
 
     if not cdata:
         raise PreventUpdate
-
-    print(start_date, end_date, obs, model, cdata)
-    if DEBUG: print('EVAL AERONET CLICKDATA', cdata)
+    
+    logging.debug(" %s %s %s %s %s", start_date, end_date, obs, model, cdata)
+    logging.debug('EVAL AERONET CLICKDATA %s', cdata)
     cdata = pd.DataFrame(cdata)
     idx = int(cdata.index.values[0])
 #        lon = cdata.lon.round(2).values[0]
 #        lat = cdata.lat.round(2).values[0]
-    stat = cdata.stations.values[0]
+    station_name = cdata.stations.values[0]
     if idx != 0:
-        figure = get_eval_timeseries(obs, start_date, end_date, DEFAULT_VAR, idx, stat, model)
+        figure = get_eval_timeseries(obs, start_date, end_date, DEFAULT_VAR, idx, station_name, model)
         mb = MODEBAR_LAYOUT_TS
         figure.update_layout(mb)
-        if DEBUG: print('SHOW AERONET EVAL TS"""""', obs, idx, stat, start_date, end_date)
+        logging.debug('SHOW AERONET EVAL TS""""" %s %s %s %s %s', obs, idx, station_name, start_date, end_date)
         return dbc.ModalBody(
             dcc.Graph(
                 id='timeseries-eval-modal',
@@ -684,49 +826,71 @@ def show_eval_aeronet_timeseries(nclicks, cdata, start_date, end_date, obs, mode
      State('obs-dropdown', 'value')],
     prevent_initial_call=True)
 @cache.memoize(timeout=cache_timeout)
-def update_eval_aeronet(n_clicks, sdate, edate, obs):
-    """ Update AERONET evaluation figure according to all parameters """
+def update_eval_aeronet(n_clicks, start_date, end_date, obs):
+    """ Update AERONET evaluation figure according to all parameters
+
+    Parameters
+    ----------
+    n_clicks : int
+        Number of clicks on APPLY button
+    start_date : str
+        Start date
+    end_date : str
+        End date
+    obs : str
+        Observations name
+
+    Returns
+    -------
+    dict
+        Dict with stations positions and names
+    dash_leaflet.Map
+        Figure
+    """
+
     ctx = dash.callback_context
     if ctx.triggered:
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
-        if DEBUG: print("BUTTON", button_id)
+        logging.debug("BUTTON %s", button_id)
         if button_id != 'eval-apply':
             raise PreventUpdate
     else:
         raise PreventUpdate
 
-    if sdate is None or edate is None or obs != 'aeronet':
+    if start_date is None or end_date is None or obs != 'aeronet':
         raise PreventUpdate
 
-    from tools import get_models_figure
-    from tools import get_obs1d
-    if DEBUG: print('SERVER: calling figure from EVAL picker callback')
-    if DEBUG: print('SERVER: SDATE', str(sdate))
+    from callback_tools import get_figure
+    from callback_tools import get_evaluation_comparison_aeronet_figure
 
-    sdate = sdate.split()[0]
+    logging.debug('SERVER: calling figure from EVAL picker callback')
+    logging.debug('SERVER: start date %s', str(start_date))
+
+    start_date = start_date.split()[0]
     try:
-        sdate = dt.strptime(
-            sdate, "%Y-%m-%d").strftime("%Y%m%d")
+        start_date = dt.strptime(
+            start_date, "%Y-%m-%d").strftime("%Y%m%d")
     except:
-        sdate = END_DATE
+        start_date = END_DATE
         pass
     if DEBUG:
-        print(f'SERVER: callback start_date {sdate}')
+        logging.debug('SERVER: callback start_date  %s', start_date)
 
-    if edate is not None:
-        edate = edate.split()[0]
+    if end_date is not None:
+        end_date = end_date.split()[0]
         try:
-            edate = dt.strptime(
-                edate, "%Y-%m-%d").strftime("%Y%m%d")
+            end_date = dt.strptime(
+                end_date, "%Y-%m-%d").strftime("%Y%m%d")
         except:
             pass
         if DEBUG:
-            print(f'SERVER: callback end_date {edate}')
+            logging.debug('SERVER: callback end date %s', end_date)
     else:
-        edate = END_DATE
+        end_date = END_DATE
 
-    stations, points_layer = get_obs1d(sdate, edate, obs, DEFAULT_VAR)
-    fig = get_models_figure(model=None, var=DEFAULT_VAR, layer=points_layer)
+    stations, points_layer = get_evaluation_comparison_aeronet_figure(start_date, end_date, obs, DEFAULT_VAR)
+    fig = get_figure(layers=points_layer)
+    
     return stations.to_dict(), fig
 
 
@@ -740,25 +904,51 @@ def update_eval_aeronet(n_clicks, sdate, edate, obs):
     State('graph-eval-modis-mod', 'children')],
     prevent_initial_call=True)
 @cache.memoize(timeout=cache_timeout)
-def update_eval_modis(n_clicks, date, mod, obs, mod_div):
-    """ Update MODIS evaluation figure according to all parameters """
+def update_eval_modis(n_clicks, date, mod, obs, model_figure):
+    """ Update MODIS evaluation figure according to all parameters
+
+    Parameters
+    ----------
+    n_clicks : int
+        Number of clicks on APPLY button
+    date : str
+        Selected date
+    mod : str
+        Model name
+    obs : str
+        Observations name
+    model_figure : dict
+        Model figure properties
+
+    Returns
+    -------
+    dash_leaflet.Map
+        Figure with MODIS sensor data
+    dash_leaflet.Map
+        Figure with model data
+    """
+
     ctx = dash.callback_context
     if not ctx.triggered:
         raise PreventUpdate
 
     button_id = ctx.triggered[0]["prop_id"].split(".")[0]
-    if DEBUG: print("BUTTON", button_id)
+    logging.debug("BUTTON %s", button_id)
     if button_id != 'eval-apply':
         raise PreventUpdate
 
     if date is None or mod is None or obs != 'modis':
         raise PreventUpdate
 
-    from tools import get_models_figure
-    if DEBUG: print('SERVER: calling figure from EVAL picker callback')
-    if DEBUG: print(mod_div)
-    mod_center = mod_div['props']['center']
-    mod_zoom = mod_div['props']['zoom']
+    from callback_tools import get_model_figure
+    from callback_tools import get_evaluation_comparison_modis_figure
+    from callback_tools import get_figure
+
+    logging.debug('SERVER: calling figure from EVAL picker callback')
+    logging.debug(" %s ", model_figure)
+
+    mod_center = model_figure['props']['center']
+    mod_zoom = model_figure['props']['zoom']
 
     if date is not None:
         date = date.split()[0]
@@ -768,22 +958,28 @@ def update_eval_modis(n_clicks, date, mod, obs, mod_div):
         except:
             pass
         if DEBUG:
-            print(f'SERVER: callback date {date}')
+            logging.debug('SERVER: callback date %s', date)
     else:
         date = END_DATE
 
     if DEBUG:
-        print("ZOOM", mod_zoom, "CENTER", mod_center)
+        logging.debug("ZOOM %s %s", mod_zoom, mod_center)
     if MODELS[mod]['start'] == 12:
         tstep = 4
     else:
         tstep = 0
-    fig_mod = get_models_figure(model=mod, var=DEFAULT_VAR, selected_date=date, tstep=tstep,
-                         hour=12, center=mod_center, zoom=mod_zoom)
-    fig_obs = get_models_figure(model=obs, var=DEFAULT_VAR, selected_date=date, tstep=0,
-                         center=mod_center, zoom=mod_zoom, tag='modis')
 
-    if DEBUG: print("MODIS", fig_obs)
+    logging.debug("================================ %s %s", date, tstep)
+    # Get model figure
+    layers = get_model_figure(var=DEFAULT_VAR, model=mod, tstep=tstep, selected_date=date, 
+                              hour=12)
+    fig_mod = get_figure(center=mod_center, zoom=mod_zoom, layers=layers)
+
+    # Get sensor figure
+    layers = get_evaluation_comparison_modis_figure(var=DEFAULT_VAR, obs='modis', tstep=0,
+                                                    selected_date=date)
+    fig_obs = get_figure(center=mod_center, zoom=mod_zoom, layers=layers, tag='modis', index='modis')
+
     return fig_obs, fig_mod
 
 
@@ -796,11 +992,28 @@ def update_eval_modis(n_clicks, date, mod, obs, mod_div):
      prevent_initial_call=True)
 @cache.memoize(timeout=cache_timeout)
 def update_eval(obs):
-    """ Update evaluation figure according to all parameters """
-    from tools import get_models_figure
-    # from tools import get_obs1d
-    if DEBUG: print('SERVER: calling figure from EVAL picker callback')
-    # if DEBUG: print('SERVER: interval ' + str(n))
+    """ Update evaluation figure according to all parameters
+
+    Parameters
+    ----------
+    obs : str
+        Observations name
+
+    Returns
+    -------
+    list
+        Date picker properties
+    list
+        Figure with one map for AERONET and two maps for MODIS (MODIS and model)
+    str
+        Observations name
+    dict
+        Figure style
+    """
+
+    from callback_tools import get_figure
+    
+    logging.debug('SERVER: calling figure from EVAL picker callback')
 
     start_date = OBS[obs]['start_date']
 
@@ -820,7 +1033,7 @@ def update_eval(obs):
 
         eval_graph = html.Div([
                     html.Div(
-                        get_models_figure(),
+                        get_figure(),
                         id='graph-eval-aeronet'
                     ),
                     html.Div(
@@ -846,8 +1059,8 @@ def update_eval(obs):
             # with_portal=True,
         )]
 
-        fig_mod = get_models_figure()
-        fig_obs = get_models_figure(tag='modis')
+        fig_mod = get_figure()
+        fig_obs = get_figure(tag='modis')
 
         graph_obs = html.Div([
             html.Div(
@@ -863,7 +1076,7 @@ def update_eval(obs):
                 fig_mod,
                 id='graph-eval-modis-mod',
                 ),
-            html.Div(DISCLAIMER_NO_FORECAST,
+            html.Div(DISCLAIMER_MODELS,
                 className='disclaimer',
                 id='eval-vis-modis-disclaimer'
             )
@@ -874,7 +1087,9 @@ def update_eval(obs):
                 dbc.Col(graph_mod, width=6)
             ],
             align='start',
-            no_gutters=True
+            # no_gutters is replaced with the className because of bootstrap update
+            # no_gutters=True,
+            className='g-0',
             )]
 
         style = { 'display': 'table-cell' }
diff --git a/tabs/forecast.py b/tabs/forecast.py
index 2b8e60a569d20d5e206a8204c1f25d703ef17aee..a67012dc0a9091019a7d1108961a70a171d87ca6 100644
--- a/tabs/forecast.py
+++ b/tabs/forecast.py
@@ -8,38 +8,23 @@ import dash_bootstrap_components as dbc
 from dash import dcc
 from dash import html
 
-from data_handler import FREQ
-from data_handler import DEBUG
-from data_handler import STYLES
-from data_handler import START_DATE, END_DATE, DELAY, DELAY_DATE
-from data_handler import WAS
-from data_handler import DISCLAIMER_MODELS
-
-
-def get_forecast_days(curdate=END_DATE):
-    """ Return forecast days according to configuration file """
-    delay = DELAY
-    st_date = DELAY_DATE
-    if (delay and st_date \
-            and (dt.strptime(curdate, "%Y%m%d") >= dt.strptime(st_date, "%Y%m%d"))) or \
-            (not delay and st_date \
-            and (dt.strptime(curdate, "%Y%m%d") < dt.strptime(st_date, "%Y%m%d"))) or \
-            (delay and not st_date):
-        st_day = 1
-    else:
-        st_day = 0
-
-    return dict([
-        (
-            idx, (dt.strptime(curdate, "%Y%m%d") + \
-            timedelta(days=idx)).strftime("%a %d").upper()
-        ) for idx in range(st_day, 3)
-    ])
+from map_handler import FORECAST_MAX
+from map_handler import FREQ
+from map_handler import DEBUG
+from map_handler import START_DATE, END_DATE, DELAY, DELAY_DATE
+from map_handler import WAS
+from map_handler import DISCLAIMER_MODELS
+from map_handler import PATHS
+from tabs.generic import get_forecast_days, layout_view, time_series
+import logging
+
+# MOVED TO GENERIC
+# def get_forecast_days(curdate=END_DATE):
 
 def gen_ts_marks(ts_type, curdate=END_DATE):
     """ Generate time slider marks """
 
-    if DEBUG: print("TS MARKS", ts_type, curdate)
+    logging.debug("TS MARKS %s %s", ts_type, curdate)
     if ts_type == 'was':
         forecast_dict = get_forecast_days(curdate)
         forecast_values = sorted(forecast_dict.keys())
@@ -61,7 +46,7 @@ def gen_ts_marks(ts_type, curdate=END_DATE):
         freq = 1
     else:
         fcst_min = 0
-        fcst_max = 72
+        fcst_max = FORECAST_MAX
         forecast_values = range(fcst_min, fcst_max+FREQ, FREQ)
         forecast_dict = dict([
                 (fcst_val, f'{fcst_val}') for fcst_val in forecast_values
@@ -94,7 +79,7 @@ def gen_time_slider(ts_type='prob', end_date=END_DATE):
         for tstep in ts_marks
         }
 
-    if DEBUG: print("FCST MARKS", marks[list(marks.keys())[-1]])
+    logging.debug("FCST MARKS %s", marks[list(marks.keys())[-1]])
     if ts_type in ('prob', 'was'):
         marks[list(marks.keys())[-1]]['style'] = {}
         marks[list(marks.keys())[-1]]['style']['left'] = ''
@@ -143,7 +128,7 @@ def gen_time_bar(ts_type='prob', start_date=START_DATE, end_date=END_DATE):
         className="timesliderline",
         )
 
-    if DEBUG: print("TIME SLIDER", time_slider)
+    logging.debug("TIME SLIDER %s", time_slider)
 
     if ts_play:
         return html.Div([
@@ -161,69 +146,14 @@ def gen_time_bar(ts_type='prob', start_date=START_DATE, end_date=END_DATE):
         className="timeslider"
     )
 
-def layout_view():
-    """ Return the menu for the various mapview types"""
+### MOVED TO GENERIC
+# def layout_view():
 
-    return html.Div([
-        html.Span(
-            dbc.DropdownMenu(
-                id='map-view-dropdown',
-                label='VIEW',
-                children=[
-                    dbc.DropdownMenuItem(
-                        STYLES[style]['name'],
-                        id=dict(
-                            tag='view-style',
-                            index=style
-                            ),
-                        active=active
-                        )
-                    for style, active in zip(list(STYLES.keys()),
-                                             [True if i == 'carto-positron'
-                                              else False for i in STYLES])
-                    ],
-                direction="up",
-                in_navbar=True,
-                ),
-            )
-        ],
-                           id='map-view-dropdown-div')
-
-def time_series():
-    """ Return the timeseries element"""
-    return html.Div(
-            id='open-timeseries',
-            children=[
-                dbc.Spinner(
-                    id='loading-ts-modal',
-                    fullscreen=True,
-                    fullscreen_style={'opacity': '0.5', 'zIndex' : '200000'},
-                    show_initially=False,
-                    # debounce=200,
-                    children=[
-                        dbc.Modal([],
-                                  id='ts-modal',
-                                  size='xl',
-                                  centered=True,
-                                  is_open=False,
-                                  ),
-                        ],
-                    )],
-                #style={'display': 'none'},
-                )
+# MOVED TO GENERIC
+# def time_series():
 
-def layout_layers():
-    return html.Div([
-        html.Span(
-            dbc.DropdownMenu(
-                id='map-layers-dropdown',
-                label='LAYERS',
-                children=[
-                    dbc.DropdownMenuItem('AIRPORTS', id='airports')
-                    ],
-                direction="up",
-                ),
-            )])
+# # MOVED TO GENERIC
+# def layout_layers(**args):
 
 def models_children(start_date=START_DATE, end_date=END_DATE):
     """ Return the html for models maps """
@@ -247,7 +177,6 @@ def models_children(start_date=START_DATE, end_date=END_DATE):
                 id='div-collection',
     #            children=[dbc.Spinner(
     #            id='loading-graph-collection',
-    #            #debounce=10,
     #            show_initially=False,
                 children=[
                     dbc.Container(
@@ -433,12 +362,12 @@ def sidebar_forecast(variables, default_var, models, default_model, window='mode
                 dbc.Button(children=["Models",
                     html.Span(
                         html.I(className='fa fa-solid fa-angle-up'),
-                        id='caret1', className="caret-span")
+                        id={'type':'caret', 'index':1}, className="caret-span")
                     ],
                     color="link", id='group-1-toggle', className='dropdown'),
             )),
             dbc.Collapse(
-                id='collapse-1',
+                id={'type':'collapse', 'index':1},
                 is_open=dropdown['models'],
                 children=[
                     dbc.CardBody([
@@ -448,7 +377,7 @@ def sidebar_forecast(variables, default_var, models, default_model, window='mode
                                       'value': model} for model in models],
                             #value=[default_model,],
                             value=default_model,
-                            className="sidebar-dropdown",
+                            class_name="sidebar-dropdown",
                         ),
                         html.Span([
                             html.Button('APPLY', id='models-apply', n_clicks=0),
@@ -470,12 +399,12 @@ def sidebar_forecast(variables, default_var, models, default_model, window='mode
                 dbc.Button(children=["Probability of exceedance",
                     html.Span(
                         html.I(className='fa fa-solid fa-angle-up'),
-                        id='caret2', className="caret-span-closed")
+                        id={'type':'caret', 'index':2}, className="caret-span-closed")
                     ],
                     color="link", id='group-2-toggle', className='dropdown'),
             )),
             dbc.Collapse(
-                id='collapse-2',
+                id={'type':'collapse', 'index':2},
                 is_open=dropdown['prob'],
                 children=[
                     dbc.CardBody([
@@ -498,12 +427,14 @@ def sidebar_forecast(variables, default_var, models, default_model, window='mode
                 dbc.Button(children=["Warning Advisory System",
                                      html.Span(
                                          html.I(className='fa fa-solid fa-angle-up'),
-                                         id='caret3', className="caret-span-closed")],
+                                         id={'type':'caret', 'index':3},
+                                         className="caret-span-closed")],
                            color="link", id='group-3-toggle', className='dropdown',
                            disabled=False)
                 )),
             dbc.Collapse(
-                id='collapse-3',
+                id={'type':'collapse', 'index': 3},
+                # id='collapse-3',
                 is_open=dropdown['was'],
                 children=[
                     dbc.CardBody([
@@ -539,7 +470,9 @@ def sidebar_forecast(variables, default_var, models, default_model, window='mode
                 width=9,
                 ),
             ],
-            no_gutters=True,
+            # no_gutters is replaced with the className because of bootstrap update
+            # no_gutters=True,
+            className='g-0',
         ),
         dbc.Row([
             dbc.Col([
@@ -549,7 +482,7 @@ def sidebar_forecast(variables, default_var, models, default_model, window='mode
                             dbc.Button('USER GUIDE',
                                        id='btn-userguide-download',
                                        n_clicks=0,
-                                       href="/products/overview/user-guide/@@download",
+                                       href=PATHS['user_guide'],
                                        className='download-section',
                                        ),
                             html.P("""Please check out the User Guide for more information."""),
@@ -587,7 +520,7 @@ def sidebar_forecast(variables, default_var, models, default_model, window='mode
                             dbc.Button('NETCDF',
                                        id='btn-netcdf-download',
                                        n_clicks=0,
-                                       href="/products/data-download",
+                                       href= PATHS['netcdf'],
                                        external_link=True,
                                        target="_blank",
                                        className='download-section',
diff --git a/tabs/forecast_callbacks.py b/tabs/forecast_callbacks.py
index 78e5c1268516eea5e1899898811240161e4472f6..e54ed71bf93c9bf080992f11cf22f77164cc6664 100644
--- a/tabs/forecast_callbacks.py
+++ b/tabs/forecast_callbacks.py
@@ -7,6 +7,7 @@ import time
 import math
 from random import random
 import orjson
+import logging
 
 import dash
 import dash_bootstrap_components as dbc
@@ -19,28 +20,28 @@ from dash.dependencies import ALL
 from dash.exceptions import PreventUpdate
 import dash_leaflet as dl
 
-from data_handler import DEFAULT_VAR
-from data_handler import DEFAULT_MODEL
-from data_handler import VARS 
-from data_handler import WAS
-from data_handler import MODELS
-from data_handler import STYLES
-from data_handler import FREQ
-from data_handler import DEBUG
-from data_handler import END_DATE
-from data_handler import PROB 
-from data_handler import GRAPH_HEIGHT 
-from data_handler import MODEBAR_CONFIG_TS
-from data_handler import MODEBAR_LAYOUT_TS
-from data_handler import cache, cache_timeout
+from ines_core_map_handler import MAP_LAYERS
+from map_handler import DEFAULT_VAR
+from map_handler import DEFAULT_MODEL
+from map_handler import VARS 
+from map_handler import WAS
+from map_handler import MODELS
+from map_handler import FREQ
+from map_handler import DEBUG
+from map_handler import END_DATE
+from map_handler import PROB 
+from map_handler import GRAPH_HEIGHT 
+from map_handler import MODEBAR_CONFIG_TS
+from map_handler import MODEBAR_LAYOUT_TS
+from map_handler import cache, cache_timeout
 from tabs.forecast import tab_forecast
-from utils import calc_matrix
+from ines_core_utils import calc_matrix
 
 
 @dash.callback(
-    [Output('collapse-1', 'is_open'),
-     Output('collapse-2', 'is_open'),
-     Output('collapse-3', 'is_open'),
+    [Output({'type':'collapse', 'index': 1}, 'is_open'),
+     Output({'type':'collapse', 'index': 2}, 'is_open'),
+     Output({'type':'collapse', 'index': 3}, 'is_open'),
      Output('group-2-toggle', 'disabled'),
      Output('group-3-toggle', 'disabled'),
      Output('variable-dropdown-forecast','value')],
@@ -48,9 +49,9 @@ from utils import calc_matrix
      Input('group-2-toggle', 'n_clicks'),
      Input('group-3-toggle', 'n_clicks'),
      Input('variable-dropdown-forecast', 'value')],
-    [State('collapse-1', 'is_open'),
-     State('collapse-2', 'is_open'),
-     State('collapse-3', 'is_open'),],
+    [State({'type':'collapse', 'index': 1}, 'is_open'),
+     State({'type':'collapse', 'index': 2}, 'is_open'),
+     State({'type':'collapse', 'index': 3}, 'is_open'),],
     prevent_initial_call=True
 )
 def render_forecast_tab(modbutton, probbutton, wasbutton, var, modopen,
@@ -134,52 +135,14 @@ def update_models_dropdown(variable, checked):
     checked = [c for c in models if c in checked or len(models)==1]
     if len(checked) > 1:
         btn_style = { 'display' : 'none' }
-    if DEBUG: print('MODELS', models, 'OPTS', type(options), options)
+    logging.debug('MODELS %s OPTS %s %s', models, type(options), options)
 
     return options, checked, btn_style
 
-@dash.callback(
-             Output('caret1', 'style'),
-             [Input('collapse-1', 'is_open')],
-)
-def rotate_models_caret(collapse_open):
-    """ Rotates models menu caret """
-    rotate_caret = {
-      'top':'.05rem',
-      'transform': 'rotate(180deg)',
-      '-ms-transform': 'rotate(180deg)',
-      '-webkit-transform': 'rotate(180deg)'
-    }
-    if not collapse_open:
-        return rotate_caret
-
-@dash.callback(
-             Output('caret2', 'style'),
-             [Input('collapse-2', 'is_open')],
-)
-def rotate_prob_caret(collapse_open):
-    """ Rotates probability menu caret """
-    rotate_caret = {
-      'transform': 'rotate(0deg)',
-      '-ms-transform': 'rotate(0deg)',
-      '-webkit-transform': 'rotate(0deg)'
-    }
-    if collapse_open:
-        return rotate_caret
-
-@dash.callback(
-             Output('caret3', 'style'),
-             [Input('collapse-3', 'is_open')],
-)
-def rotate_was_caret(collapse_open):
-    """ Rotates was menu caret """
-    rotate_caret = {
-      'transform': 'rotate(0deg)',
-      '-ms-transform': 'rotate(0deg)',
-      '-webkit-transform': 'rotate(0deg)'
-    }
-    if collapse_open:
-        return rotate_caret
+#MOVED TO GENERIC CALLBACKS
+# def rotate_models_caret(collapse_open):
+# def rotate_prob_caret(collapse_open):
+# def rotate_was_caret(collapse_open):
 
 @dash.callback(
     [Output('info-collapse', 'is_open'),
@@ -197,13 +160,13 @@ def sidebar_bottom(n_info, n_download, open_info, open_download):
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
 
         if button_id == 'info-button':
-            if DEBUG: print('clicked INFO', not open_info, False)
+            logging.debug('clicked INFO %s, %s', not open_info, False)
             return not open_info, False
         elif button_id == 'download-button':
-            if DEBUG: print('clicked DOWN', False, not open_download)
+            logging.debug('clicked DOWN %s %s', False, not open_download)
             return False, not open_download
 
-    if DEBUG: print('clicked NONE', False, False)
+    logging.debug('clicked NONE %s %s', False, False)
     raise PreventUpdate
 
 @dash.callback(
@@ -219,16 +182,16 @@ def download_anim_link(models, variable, date, tstep):
     if variable is None or date is None or tstep is None:
         raise PreventUpdate
 
-    # from tools import get_models_figure
-    from tools import download_image_link
+    # from callback_tools import get_models_figure
+    from callback_tools import download_image_link
 
-    if DEBUG: print('GIF', models, variable, date)
+    logging.debug('GIF %s %s %s', models, variable, date)
     try:
         curdate = dt.strptime(date, '%Y-%m-%d').strftime('%Y%m%d')
     except:
         curdate = date
     anim = download_image_link(models, variable, curdate, anim=True)
-    if DEBUG: print('DOWNLOAD LINK', anim)
+    logging.debug('DOWNLOAD LINK %s', anim)
     return anim
 
 @dash.callback(
@@ -259,16 +222,16 @@ def update_was_timeslider(date):
      State({'tag': 'was-map', 'index': ALL}, 'center')],
     prevent_initial_call=False
     )
-def update_was_figure(n_clicks, date, day, was, var, previous, view, zoom, center):
+def update_was_figure(n_clicks, date, day, was, var, previous, selected_tiles, zoom, center):
     """ Update Warning Advisory Systems maps """
-    if DEBUG: print('WAS', n_clicks, date, day, was, previous, view, zoom, center)
+    logging.debug('WAS %s %s %s %s %s %s %s %s', n_clicks, date, day, was, previous, selected_tiles, zoom, center)
     ctx = dash.callback_context
     if ctx.triggered:
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
         if button_id != 'was-apply' and date is None and day is None:
             raise PreventUpdate
-    from tools import get_was_figure
-    from tools import get_models_figure
+    from callback_tools import get_was_figure
+    from callback_tools import get_figure
     if not zoom or previous != was:
         zoom = WAS[was]['zoom']
     else:
@@ -280,7 +243,7 @@ def update_was_figure(n_clicks, date, day, was, var, previous, view, zoom, cente
 
     previous = was
 
-    print('WAS', was)
+    logging.debug('WAS %s', was)
     if date is not None:
         date = date.split(' ')[0]
         try:
@@ -288,17 +251,15 @@ def update_was_figure(n_clicks, date, day, was, var, previous, view, zoom, cente
                 date, "%Y-%m-%d").strftime("%Y%m%d")
         except:
             pass
-        if DEBUG:
-            print(f'SERVER: callback date {date}')
+        logging.debug('SERVER: callback date %s', date)
     else:
         date = END_DATE
 
-    if DEBUG:
-        print("WAS figure " + date, was, day)
+    logging.debug("WAS figure %s %s %s", date, was, day)
     if was:
-        view = list(STYLES.keys())[view.index(True)]
-        geojson, legend, info = get_was_figure(was, day, selected_date=date)
-        fig = get_models_figure(model=None, var=var, layer=[geojson, legend, info], view=view, zoom=zoom, center=center, tag='was')
+        selected_tiles = list(MAP_LAYERS.keys())[selected_tiles.index(True)]
+        layers = get_was_figure(was, day, selected_date=date)
+        fig = get_figure(selected_tiles=selected_tiles, zoom=zoom, center=center, tag='was', layers=layers)
         return fig, previous
 
     raise PreventUpdate 
@@ -330,11 +291,8 @@ def update_prob_timeslider(date):
     prevent_initial_call=False
 )
 @cache.memoize(timeout=cache_timeout)
-def update_prob_figure(n_clicks, date, day, prob, var, view, zoom, center):
+def update_prob_figure(n_clicks, date, day, prob, var, selected_tiles, zoom, center):
     """ Update Probability maps """
-    from tools import get_prob_figure
-    from tools import get_models_figure
-    
     # if not prob in case user navigates to section via URL
     if not prob:
         prob = 'prob_0.1'
@@ -346,13 +304,16 @@ def update_prob_figure(n_clicks, date, day, prob, var, view, zoom, center):
         center = None
     else:
         center = center[0]
-    if DEBUG: print('PROB', date, day, var, prob, var, view, zoom, center)
+    logging.debug('PROB %s %s %s %s %s %s %s %s', date, day, var, prob, var, selected_tiles, zoom, center)
     ctx = dash.callback_context
     if ctx.triggered:
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
         if button_id != 'prob-apply' and var is None and day is None:
             raise PreventUpdate
 
+    from callback_tools import get_prob_figure
+    from callback_tools import get_figure
+
     if date is not None:
         date = date.split(' ')[0]
         try:
@@ -360,122 +321,79 @@ def update_prob_figure(n_clicks, date, day, prob, var, view, zoom, center):
                 date, "%Y-%m-%d").strftime("%Y%m%d")
         except:
             pass
-        if DEBUG: print('SERVER: callback date {}'.format(date))
+        logging.debug('SERVER: callback date %s', date)
     else:
         date = END_DATE
 
     if prob:
         prob = prob.replace('prob_', '')
-        view = list(STYLES.keys())[view.index(True)]
-        geojson, colorbar, info = get_prob_figure(var, prob, day, selected_date=date)
-        fig = get_models_figure(model=None, var=var, layer=[geojson, colorbar, info], view=view, zoom=zoom, center=center, tag='prob')
-        if DEBUG: print("FIG", fig)
-        return fig
-    raise PreventUpdate
-
-@dash.callback(
-    [Output({'tag': 'was-tile-layer', 'index': ALL}, 'url'),
-     Output({'tag': 'was-tile-layer', 'index': ALL}, 'attribution')],
-    [Input({'tag': 'view-style', 'index': ALL}, 'n_clicks')],
-    [State({'tag': 'was-tile-layer', 'index': ALL}, 'url'),
-     State({'tag': 'view-style', 'index': ALL}, 'active')],
-    prevent_initial_call=True
-)
-@cache.memoize(timeout=cache_timeout)
-def update_was_styles_button(*args):
-    """ Function updating styles button """
-    ctx = dash.callback_context
-    graphs = args[-2]
-    num_graphs = len(graphs)
-    if ctx.triggered and num_graphs > 0:
-        button_id = orjson.loads(ctx.triggered[0]["prop_id"].split(".")[0])
-        if DEBUG: print("BUTTON ID", str(button_id), type(button_id))
-        if button_id['index'] in STYLES:
-            active = args[-1]
-            # if DEBUG: print("CURRENT ARGS", str(args))
-            # if DEBUG: print("NUM GRAPHS", num_graphs)
-
-            url = [STYLES[button_id['index']]['url'] for _ in range(num_graphs)]
-            attr = [STYLES[button_id['index']]['attribution'] for _ in range(num_graphs)]
-            res = [False for _ in active]
-            st_idx = list(STYLES.keys()).index(button_id['index'])
-            if active[st_idx] is False:
-                res[st_idx] = True
-            if DEBUG:
-                print("*****", url, attr, res)
-            return url, attr  #, res
+        selected_tiles = list(MAP_LAYERS.keys())[selected_tiles.index(True)]
+        layers = get_prob_figure(var, prob, day, selected_date=date)
+        fig = get_figure(selected_tiles=selected_tiles, zoom=zoom, center=center, tag='prob', layers=layers)
 
-    if DEBUG: print('NOTHING TO DO')
+        logging.debug("FIG %s", fig)
+        return fig
     raise PreventUpdate
 
-@dash.callback(
-    [Output({'tag': 'prob-tile-layer', 'index': ALL}, 'url'),
-     Output({'tag': 'prob-tile-layer', 'index': ALL}, 'attribution')],
-    [Input({'tag': 'view-style', 'index': ALL}, 'n_clicks')],
-    [State({'tag': 'prob-tile-layer', 'index': ALL}, 'url'),
-     State({'tag': 'view-style', 'index': ALL}, 'active')],
-    prevent_initial_call=True
-)
-@cache.memoize(timeout=cache_timeout)
-def update_prob_styles_button(*args):
-    """ Function updating styles button """
-    ctx = dash.callback_context
-    graphs = args[-2]
-    num_graphs = len(graphs)
-    if ctx.triggered and num_graphs > 0:
-        button_id = orjson.loads(ctx.triggered[0]["prop_id"].split(".")[0])
-        if DEBUG: print("BUTTON ID", str(button_id), type(button_id))
-        if button_id['index'] in STYLES:
-            active = args[-1]
-            # if DEBUG: print("CURRENT ARGS", str(args))
-            # if DEBUG: print("NUM GRAPHS", num_graphs)
-
-            url = [STYLES[button_id['index']]['url'] for _ in range(num_graphs)]
-            attr = [STYLES[button_id['index']]['attribution'] for _ in range(num_graphs)]
-            res = [False for _ in active]
-            st_idx = list(STYLES.keys()).index(button_id['index'])
-            if active[st_idx] is False:
-                res[st_idx] = True
-            if DEBUG:
-                print("*****", url, attr, res)
-            return url, attr  #, res
-
-    if DEBUG: print('NOTHING TO DO')
-    raise PreventUpdate
+def get_view(index, url, attr):
+    """ Helper function to assign selected map with selected view """
+    mod_url = mod_attr = []
+    prob_url = prob_attr = []
+    was_url = was_attr = []
+    if index == 1:
+        mod_url = url
+        mod_attr = attr
+    if index == 2:
+        prob_url = url 
+        prob_attr = attr
+    if index == 3:
+        was_url = url 
+        was_attr = attr
+    return mod_url, mod_attr, prob_url, prob_attr, was_url, was_attr
 
 @dash.callback(
     [Output({'tag': 'model-tile-layer', 'index': ALL}, 'url'),
      Output({'tag': 'model-tile-layer', 'index': ALL}, 'attribution'),
+     Output({'tag': 'prob-tile-layer', 'index': ALL}, 'url'),
+     Output({'tag': 'prob-tile-layer', 'index': ALL}, 'attribution'),
+     Output({'tag': 'was-tile-layer', 'index': ALL}, 'url'),
+     Output({'tag': 'was-tile-layer', 'index': ALL}, 'attribution'),
      Output({'tag': 'view-style', 'index': ALL}, 'active')],
     [Input({'tag': 'view-style', 'index': ALL}, 'n_clicks')],
     [State({'tag': 'model-tile-layer', 'index': ALL}, 'url'),
+     State({'tag': 'prob-tile-layer', 'index': ALL}, 'url'),
+     State({'tag': 'was-tile-layer', 'index': ALL}, 'url'),
      State({'tag': 'view-style', 'index': ALL}, 'active')],
     prevent_initial_call=True
 )
 @cache.memoize(timeout=cache_timeout)
-def update_models_styles_button(*args):
+def update_styles_button(*args):
     """ Function updating styles button """
-    ctx = dash.callback_context
-    graphs = args[-2]
+    #get the index of the map which view was triggered
+    for i in range(1, 4):
+        if len(args[i]) >= 1:
+            index = i
+    graphs = args[index]
     num_graphs = len(graphs)
+    ctx = dash.callback_context
     if ctx.triggered and num_graphs > 0:
         button_id = orjson.loads(ctx.triggered[0]["prop_id"].split(".")[0])
-        if DEBUG: print("BUTTON ID", str(button_id), type(button_id))
-        if button_id['index'] in STYLES:
-            if DEBUG: print("CURRENT ARGS", str(args))
+        logging.debug("BUTTON ID %s %s", str(button_id), type(button_id))
+        if button_id['index'] in MAP_LAYERS:
+            logging.debug("CURRENT ARGS %s", str(args))
             active = args[-1]
-            if DEBUG: print("NUM GRAPHS", num_graphs)
-            url = [STYLES[button_id['index']]['url'] for _ in range(num_graphs)]
-            attr = [STYLES[button_id['index']]['attribution'] for _ in range(num_graphs)]
+            logging.debug("NUM GRAPHS %s", num_graphs)
+            url = [MAP_LAYERS[button_id['index']]['url'] for _ in range(num_graphs)]
+            attr = [MAP_LAYERS[button_id['index']]['attribution'] for _ in range(num_graphs)]
             res = [False for _ in active]
-            st_idx = list(STYLES.keys()).index(button_id['index'])
+            st_idx = list(MAP_LAYERS.keys()).index(button_id['index'])
             if active[st_idx] is False:
                 res[st_idx] = True
-            if DEBUG:
-                print('*****', url, attr, res)
-            return url, attr, res
+            logging.debug('***** %s %s %s', url, attr, res)
+            mod_url, mod_attr, prob_url, prob_attr, was_url, was_attr = get_view(index, url, attr)
+            return mod_url, mod_attr, prob_url, prob_attr, was_url, was_attr, res 
 
-    if DEBUG: print('NOTHING TO DO')
+    logging.debug('NOTHING TO DO')
     raise PreventUpdate
 
 @dash.callback(
@@ -494,16 +412,16 @@ def update_models_styles_button(*args):
 )
 def models_popup(click_data, map_ids, res_list, date, tstep, var, coords, popups):
     """ Manages models popups for timeseries """
-    from tools import get_single_point
-    if DEBUG: print("CLICK:", str(click_data))
+    from callback_tools import get_single_point
+    logging.debug("CLICK: %s", str(click_data))
     if click_data.count(None) == len(click_data):
         raise PreventUpdate
 
-    if DEBUG: print("MAPID:", str(map_ids), type(map_ids))
-    # if DEBUG: print("RESLIST:", str(res_list), type(res_list))
+    logging.debug("MAPID: %s %s", str(map_ids), type(map_ids))
+    # logging.debug("RESLIST: %s %s", str(res_list), type(res_list))
 
     ctxt = dash.callback_context.triggered[0]["prop_id"].split(".")[0]
-    if DEBUG: print("CTXT", ctxt, type(ctxt))
+    logging.debug("CTXT %s %s", ctxt, type(ctxt))
     if not ctxt or ctxt is None:
         raise PreventUpdate
 
@@ -511,7 +429,7 @@ def models_popup(click_data, map_ids, res_list, date, tstep, var, coords, popups
         popups = {}
 
     trigger = orjson.loads(ctxt)
-    if DEBUG: print('TRIGGER', trigger, type(trigger))
+    logging.debug('TRIGGER %s %s', trigger, type(trigger))
 
     # curr_models = [m['index'] for m in map_ids]
     res = res_list
@@ -524,7 +442,7 @@ def models_popup(click_data, map_ids, res_list, date, tstep, var, coords, popups
         else:
             tstep = int(tstep/FREQ)
 
-        if DEBUG: print("MODEL", model, "CLICK", click, "DATE", date, "STEP", tstep, "MODIDX", mod_idx)
+        logging.debug("MODEL %s CLICK %s DATE %s TSTEP %s MODIDX %s", model, click, date, tstep, mod_idx)
 
         if click is not None and model is not None:
             lat, lon = click
@@ -545,9 +463,9 @@ def models_popup(click_data, map_ids, res_list, date, tstep, var, coords, popups
                 date = selected_date.strftime("%Y%m%d")
                 valid_dt = dt.strptime(date, '%Y%m%d') + timedelta(hours=tstep*FREQ)
 
-            if DEBUG: print("MODEL", model, "CLICK", click, "DATE", date, "STEP", tstep)
+            logging.debug("MODEL %s CLICK %s DATE %s TSTEP %s", model, click, date, tstep, mod_idx)
             value = get_single_point(model, date, int(tstep), var, lat, lon)
-            if DEBUG: print("VALUE:", str(value))
+            logging.debug("VALUE: %s", str(value))
 
             marker = dl.Popup(
                 children=[
@@ -586,16 +504,15 @@ def models_popup(click_data, map_ids, res_list, date, tstep, var, coords, popups
                 className='popup-map-point',
             )
 
-            # if DEBUG: print("||||", res, "\n", res[mod_idx], type(res[mod_idx]))
-            if DEBUG: print("||||", res[mod_idx][-1], type(res[mod_idx][-1]))
+            logging.debug("|||| %s %s", res[mod_idx][-1], type(res[mod_idx][-1]))
             if not res[mod_idx] or res[mod_idx] is None:
-                if DEBUG: print("*** 1 ***")
+                logging.debug("*** 1 ***")
                 res[mod_idx] = marker
             elif res[mod_idx][-1] is None:
-                if DEBUG: print("*** 2 ***")
+                logging.debug("*** 2 ***")
                 res[mod_idx][-1] = marker
             else:
-                if DEBUG: print("*** 3 ***")
+                logging.debug("*** 3 ***")
                 res[mod_idx].append(marker)
             if not coords or coords is None:
                 coords = { model: [lat, lon] }
@@ -606,8 +523,8 @@ def models_popup(click_data, map_ids, res_list, date, tstep, var, coords, popups
                     for i in range(len(res[mod_idx])) if 'type' in
                     res[mod_idx][i]]) + 1
 
-            if DEBUG: print("COORDS:", str(coords))
-            if DEBUG: print("POPUPS:", str(popups))
+            logging.debug("COORDS: %s", str(coords))
+            logging.debug("POPUPS: %s", str(popups))
             return coords, popups, res
 
     return {}, {}, dash.no_update
@@ -629,16 +546,16 @@ def models_popup(click_data, map_ids, res_list, date, tstep, var, coords, popups
 def show_timeseries(ts_button, mod, date, variable, coords, popups):
     """ Renders model comparison timeseries, retrieve timeseries according to
     coordinates selected. """
-    from tools import get_timeseries
+    from callback_tools import get_timeseries
 
     ctx = dash.callback_context
     if ctx.triggered:
         button_id = orjson.loads(ctx.triggered[0]["prop_id"].split(".")[0])
-        if DEBUG: print("BUTTONID:", mod, str(button_id), str(ts_button))
-        if DEBUG: print('SHOW TS COORDS:', coords, type(coords), mod)
+        logging.debug("BUTTONID: %s %s %s", mod, str(button_id), str(ts_button))
+        logging.debug('SHOW TS COORDS: %s %s %s', coords, type(coords), mod)
         ts_popups = 0
         for m in popups:
-            if DEBUG: print("___", m, "___")
+            logging.debug("___%s___", m)
             ts_popups += popups[m]
             if m == button_id['index']:
                 break
@@ -652,7 +569,7 @@ def show_timeseries(ts_button, mod, date, variable, coords, popups):
             if lat is None or lon is None:
                 raise PreventUpdate
 
-            if DEBUG: print('SHOW TS """""', mod, lat, lon)
+            logging.debug('SHOW TS """"" %s %s %s', mod, lat, lon)
             figure = get_timeseries(mod, date, variable, lat, lon, forecast=True)
             figure.update_layout(MODEBAR_LAYOUT_TS)
             ts_body = dbc.ModalBody(
@@ -714,7 +631,6 @@ def zooms(viewport, models):
      Output('slider-interval', 'n_intervals'),
      Output('open-timeseries', 'style'),
      Output('btn-play', 'className'),
-     #Output('div-collection', 'children'),
      ],
     Input('btn-play', 'n_clicks'),
     [State('slider-interval', 'disabled'),
@@ -724,7 +640,7 @@ def zooms(viewport, models):
 def start_stop_autoslider(n_play, disabled, value):
     """ Play/Pause map animation """
     ctx = dash.callback_context
-    if DEBUG: print("VALUE", value)
+    logging.debug("VALUE %s", value)
     if not value:
         value = 0
 
@@ -747,14 +663,14 @@ def start_stop_autoslider(n_play, disabled, value):
 @cache.memoize(timeout=cache_timeout)
 def update_slider(n):
     """ Update slider value according to the number of intervals """
-    if DEBUG: print('SERVER: updating model-slider-graph ' + str(n))
+    logging.debug('SERVER: updating model-slider-graph %s' + str(n))
     if not n:
         return
     if n >= 24:
         tstep = int(round(24*math.modf(n/24)[0], 0))
     else:
         tstep = int(n)
-    if DEBUG: print('SERVER: updating model-slider-graph ' + str(tstep*FREQ))
+    logging.debug('SERVER: updating model-slider-graph %s' + str(tstep*FREQ))
     return tstep*FREQ
 
 @dash.callback(
@@ -775,11 +691,11 @@ def update_tab_content(models_clicks, prob_clicks, was_clicks, curtab):
         if button_id not in ('models-apply', 'prob-apply', 'was-apply'):
             raise PreventUpdate
 
-        if DEBUG: print("::::::::::::", len(curtab), curtab[0]['index'])
+        logging.debug(":::::::::::: %s %s", len(curtab), curtab[0]['index'])
         curtab_name = curtab[0]['index']
 
         nexttab_name = button_id.replace('-apply', '')
-        if DEBUG: print("::::::::::::", curtab_name, nexttab_name)
+        logging.debug(":::::::::::: %s %s", curtab_name, nexttab_name)
         if curtab_name != nexttab_name:
             return tab_forecast(nexttab_name)
 
@@ -787,15 +703,6 @@ def update_tab_content(models_clicks, prob_clicks, was_clicks, curtab):
 
     raise PreventUpdate
 
-# @dash.callback(
-#     Output('model-date-picker', 'value'),
-#     Input('clear_button', 'n_clicks'),
-#     State('model-date-picker', 'value'),
-#     )
-# def clear_date(click, value):
-#     print('hello', value)
-#     return '08 AUG 2022'
-#
 @dash.callback(
     Output('graph-collection', 'children'),
     [Input('models-apply', 'n_clicks'),
@@ -803,7 +710,6 @@ def update_tab_content(models_clicks, prob_clicks, was_clicks, curtab):
      Input('model-date-picker', 'date')],
     [State('model-dropdown', 'value'),
      State('variable-dropdown-forecast', 'value'),
-     State('slider-interval', 'disabled'),
      State({'tag': 'view-style', 'index': ALL}, 'active'),
      State({'tag': 'model-map', 'index': ALL, "n_clicks": ALL}, 'zoom'),
      State({'tag': 'model-map', 'index': ALL, "n_clicks": ALL}, 'center'),
@@ -811,7 +717,7 @@ def update_tab_content(models_clicks, prob_clicks, was_clicks, curtab):
     prevent_initial_call=False
     )
 @cache.memoize(timeout=cache_timeout)
-def update_models_figure(n_clicks, tstep, date, model, variable, static, view, zoom, center):
+def update_models_figure(n_clicks, tstep, date, model, variable, selected_tiles, zoom, center):
     """ Update mosaic of maps figures according to all parameters """
     ctx = dash.callback_context
 
@@ -822,13 +728,14 @@ def update_models_figure(n_clicks, tstep, date, model, variable, static, view, z
     elif tstep is None and date is None:
         raise PreventUpdate
 
-    from tools import get_models_figure
-    if DEBUG: print('SERVER: calling figure from picker callback')
+    from callback_tools import get_model_figure
+    from callback_tools import get_figure
+
+    logging.debug('SERVER: calling figure from picker callback')
 
     st_time = time.time()
 
-    # if DEBUG: print('SERVER: interval ' + str(n))
-    if DEBUG: print('SERVER: tstep ' + str(tstep))
+    logging.debug('SERVER: tstep %s', str(tstep))
 
     if date is not None:
         date = date.split(' ')[0]
@@ -837,7 +744,7 @@ def update_models_figure(n_clicks, tstep, date, model, variable, static, view, z
                 date, "%Y-%m-%d").strftime("%Y%m%d")
         except:
             pass
-        if DEBUG: print('SERVER: callback date {}'.format(date))
+        logging.debug('SERVER: callback date %s', date)
     else:
         date = END_DATE
 
@@ -852,8 +759,8 @@ def update_models_figure(n_clicks, tstep, date, model, variable, static, view, z
     else:
         tstep = 0
 
-    if DEBUG: print('SERVER: tstep calc ' + str(tstep))
-    # if DEBUG: print('#### IDS, ZOOM, CENTER:', ids, zoom, center)
+    logging.debug('SERVER: tstep calc %s', tstep)
+    # logging.debug('#### IDS, ZOOM, CENTER: %s %s %s', ids, zoom, center)
 
     # curr_mods = { i['index']: { 'zoom': z, 'center': c }
     #        for i, z, c in zip(ids, zoom, center) }
@@ -868,21 +775,34 @@ def update_models_figure(n_clicks, tstep, date, model, variable, static, view, z
         center = [None]
 
     if len(model) != len(zoom):
-        if DEBUG: print("##############", len(model), len(zoom), "**********")
+        logging.debug("############## %s %s **********", len(model), len(zoom))
         zoom = [None for _ in model]
         center = [None for _ in model]
 
-    if DEBUG: print('#### ZOOM, CENTER:', zoom, center, model, ncols, nrows)
-    view = list(STYLES.keys())[view.index(True)]
-#         for mod in model:
-#             mod_zoom = mod in curr_mods and curr_mods[mod]['zoom'] or None
-#             mod_center = mod in curr_mods and curr_mods[mod]['center'] or None
+    logging.debug('#### ZOOM, CENTER: %s %s %s %s %s', zoom, center, model, ncols, nrows)
+    selected_tiles = list(MAP_LAYERS.keys())[selected_tiles.index(True)]
+    # for mod in model:
+    #     mod_zoom = mod in curr_mods and curr_mods[mod]['zoom'] or None
+    #     mod_center = mod in curr_mods and curr_mods[mod]['center'] or None
     for mod, mod_zoom, mod_center in zip(model, zoom, center):
-        if DEBUG: print("MOD", mod, "ZOOM", mod_zoom, "CENTER", mod_center, 'VIEW', view)
+        logging.debug("MOD %s ZOOM %s CENTER %s VIEW %s", mod, mod_zoom, mod_center, selected_tiles)
 
-        figure = get_models_figure(mod, variable, date, tstep,
-                static=static, aspect=(nrows, ncols), view=view,
-                center=mod_center, zoom=mod_zoom)
+        # Get current tag
+        if mod in MODELS:
+            tag = 'model'
+        else:
+            tag = isinstance(tag, str) and tag or str(tag)
+
+        # Get current index
+        if isinstance(mod, str):
+            index = mod
+        else:
+            index = str(mod)
+    
+        layers = get_model_figure(var=variable, model=mod, tstep=tstep, selected_date=date, 
+                                  aspect=(nrows, ncols))
+        figure = get_figure(aspect=(nrows, ncols), selected_tiles=selected_tiles, center=mod_center, 
+                            zoom=mod_zoom, tag=tag, index=index, layers=layers)
 
         figure.style = {
             'height': '{}vh'.format(int(GRAPH_HEIGHT/nrows)),
@@ -890,13 +810,12 @@ def update_models_figure(n_clicks, tstep, date, model, variable, static, view, z
 
         # add n_clicks to id dict to reset the state of map, for centering
         figure.id['n_clicks'] = n_clicks
-        # if DEBUG: print('FIGURE KEYS 2', figure.id)
-        if DEBUG: print('STATIC', static, int(GRAPH_HEIGHT)/nrows)
+        # logging.debug('FIGURE KEYS 2 %s', figure.id)
         figures.append(figure)
 
     if DEBUG:
         for fig in figures:
-            print("************", fig.id, fig.style, "**************")
+            logging.debug("************ %s %s**************", fig.id, fig.style, )
 
     res = [
         dbc.Row(
@@ -909,8 +828,10 @@ def update_models_figure(n_clicks, tstep, date, model, variable, static, view, z
                 if len(figures) > row+col+(row*(ncols-1))
             ],
             align="start",
-            no_gutters=True,
+            # no_gutters is replaced with the className because of bootstrap update
+            # no_gutters=True,
+            className='g-0',
         ) for row in range(nrows)
     ]
-    if DEBUG: print("**** REQUEST TIME", str(time.time() - st_time))
+    logging.debug("**** REQUEST TIME %s", str(time.time() - st_time))
     return res
diff --git a/tabs/generic.py b/tabs/generic.py
new file mode 100644
index 0000000000000000000000000000000000000000..a417cfefa9c0871f64080e9995b1188e5dc176db
--- /dev/null
+++ b/tabs/generic.py
@@ -0,0 +1,94 @@
+import dash_bootstrap_components as dbc
+from dash import html
+from ines_core_map_handler import MAP_LAYERS
+from map_handler import DELAY, DELAY_DATE, END_DATE, FORECAST_FINAL_DAY
+from datetime import datetime
+from datetime import timedelta
+
+def get_forecast_days(curdate=END_DATE, lastday=FORECAST_FINAL_DAY):
+    """ Return forecast days according to configuration file """
+    delay = DELAY
+    st_date = DELAY_DATE
+    if (delay and st_date \
+            and (datetime.strptime(curdate, "%Y%m%d") >= datetime.strptime(st_date, "%Y%m%d"))) or \
+            (not delay and st_date \
+            and (datetime.strptime(curdate, "%Y%m%d") < datetime.strptime(st_date, "%Y%m%d"))) or \
+            (delay and not st_date):
+        st_day = 1
+    else:
+        st_day = 0
+
+    return dict([
+        (
+            idx, (datetime.strptime(curdate, "%Y%m%d") + \
+            timedelta(days=idx)).strftime("%a %d").upper()
+        ) for idx in range(st_day, lastday)
+    ])
+
+def layout_view():
+    """ Return the menu for the various mapview types"""
+
+    return html.Div([
+        html.Span(
+            dbc.DropdownMenu(
+                id='map-view-dropdown',
+                label='VIEW',
+                children=[
+                    dbc.DropdownMenuItem(
+                        MAP_LAYERS[style]['name'],
+                        id=dict(
+                            tag='view-style',
+                            index=style
+                            ),
+                        active=active
+                        )
+                    for style, active in zip(list(MAP_LAYERS.keys()),
+                                             [True if i == 'carto-positron'
+                                              else False for i in MAP_LAYERS])
+                    ],
+                direction="up",
+                in_navbar=True,
+                ),
+            )
+        ],
+                           id='map-view-dropdown-div')
+
+
+def time_series():
+    """ Return the timeseries element"""
+    return html.Div(
+            id='open-timeseries',
+            children=[
+                dbc.Spinner(
+                    id='loading-ts-modal',
+                    fullscreen=True,
+                    fullscreen_style={'opacity': '0.5', 'zIndex' : '200000'},
+                    show_initially=False,
+                    # debounce=200,
+                    children=[
+                        dbc.Modal([],
+                                  id='ts-modal',
+                                  size='xl',
+                                  centered=True,
+                                  is_open=False,
+                                  ),
+                        ],
+                    )],
+                #style={'display': 'none'},
+                )
+
+def layout_layers(*args):
+    """ Build the layers dropdown. User inputs strings for the item ids.
+        Returns the dropdown element with the ids shown capitalized as items. """
+    dropdown = []
+    for layer in args:
+        dropdown.append(dbc.DropdownMenuItem(layer.upper(), id=layer))
+    return html.Div([
+        html.Span(
+            dbc.DropdownMenu(
+                id='map-layers-dropdown',
+                label='LAYERS',
+                children=dropdown,
+                direction="up",
+                ),
+            )])
diff --git a/tabs/generic_callbacks.py b/tabs/generic_callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..df0b28003d97c11859643dba781f3eaa390e34a9
--- /dev/null
+++ b/tabs/generic_callbacks.py
@@ -0,0 +1,20 @@
+import dash 
+from dash.dependencies import ALL, MATCH
+from dash.exceptions import PreventUpdate
+from dash.dependencies import Input, State, Output
+from map_handler import DEBUG, FREQ
+from map_handler import cache, cache_timeout
+
+@dash.callback(
+             Output({'type':'caret', 'index': MATCH}, 'style'),
+             [Input({'type':'collapse', 'index': MATCH}, 'is_open')],
+)
+def rotate_section_caret(collapse_open):
+    """ Rotates section 3 menu caret """
+    rotation = 0 if collapse_open else 180
+    rotate_caret = {
+      'transform': 'rotate({}deg)'.format(rotation),
+      '-ms-transform': 'rotate({}deg)'.format(rotation),
+      '-webkit-transform': 'rotate({}deg)'.format(rotation)
+    }
+    return rotate_caret
diff --git a/tabs/observations.py b/tabs/observations.py
index dc2d69ab95cf88d8a3329c5836f962216ec946d9..831d1862cefba9cae6dad520535d1055bca61d57 100644
--- a/tabs/observations.py
+++ b/tabs/observations.py
@@ -1,20 +1,21 @@
 from dash import dcc
 import dash_bootstrap_components as dbc
 from dash import html
-from data_handler import DEBUG
-from data_handler import DEFAULT_VAR
-from data_handler import DEFAULT_MODEL
-from data_handler import FREQ
-from data_handler import VARS
-from data_handler import MODELS
-from data_handler import START_DATE, END_DATE
-from data_handler import STYLES
-from data_handler import DISCLAIMER_NO_FORECAST
+from ines_core_map_handler import MAP_LAYERS
+from map_handler import DEBUG
+from map_handler import DEFAULT_VAR
+from map_handler import DEFAULT_MODEL
+from map_handler import FREQ
+from map_handler import VARS
+from map_handler import MODELS
+from map_handler import START_DATE, END_DATE
+from map_handler import DISCLAIMER_MODELS
+from map_handler import SATELLITE_IMAGE_SRC
 # from tabs.forecast import layout_view
-from utils import get_vis_edate
 
 from datetime import datetime as dt
 from datetime import timedelta
+import logging
 
 aod_end_date = '20210318'
 
@@ -26,23 +27,74 @@ layout_view = html.Div([
             label='VIEW',
             children=[
                 dbc.DropdownMenuItem(
-                    STYLES[style]['name'],
+                    MAP_LAYERS[style]['name'],
                     id=dict(
                         tag='vis-view-style',
                         index=style
                     ),
                     active=active
                 )
-                for style, active in zip(STYLES, [True if i == 'carto-positron'
-                    else False for i in STYLES])
+                for style, active in zip(MAP_LAYERS, [True if i == 'carto-positron'
+                    else False for i in MAP_LAYERS])
                 ],
             direction="up",
         ),
     )])
 
 
+def get_vis_edate(end_date, hour=None):
+    """ Return default date and timestep for visibility
+
+    Parameters
+    ----------
+    end_date : str
+        End date
+    hour : int, optional
+        Hour, by default None
+
+    Returns
+    -------
+    str
+        Default date
+    int
+        Default hour
+    """
+
+    from map_handler import DEBUG
+
+    delay = timedelta(hours=8)
+    half_day = timedelta(hours=12)
+    fmt_full = "%Y%m%d %H:%M"
+    fmt_date = "%Y%m%d"
+    hours = (0, 6, 12, 18)
+
+    now = dt.now()
+    now_hour = now.hour
+    if hour is not None:
+        now_hour = hour
+    edate = dt.strptime(end_date, fmt_date) + timedelta(hours=now_hour)
+    cdate = edate.strftime(fmt_date)
+
+    curr = None
+    for idx, h in enumerate(hours[:-1]):
+        curr = dt.strptime("{} {:02d}:00".format(cdate, h), fmt_full)
+        curr1 = dt.strptime("{} {:02d}:00".format(cdate, hours[idx+1]), fmt_full)
+        if edate < curr + delay:
+            curr = curr - half_day
+            curr1 = curr1 - half_day
+
+        if (edate >= curr + delay) and (edate < curr1 + delay):
+            if DEBUG: logging.debug("NOW %s CURR %s H %s", edate, curr, curr.hour)
+            break
+
+    if curr is not None:
+        return curr.strftime(fmt_date), curr.hour
+
+    return cdate, edate.hour
+
+    
 def obs_time_slider(div='obs', start=0, end=23, step=1, start_date=START_DATE, end_date=END_DATE):
-    # if DEBUG: print("------------\n", start, type(start), step, type(step), "------------\n")
+    # logging.debug("----------- %s %s %s %s -------------\n", start, type(start), step, type(step))
 
     default_tstep = 0
 
@@ -53,7 +105,7 @@ def obs_time_slider(div='obs', start=0, end=23, step=1, start_date=START_DATE, e
     else:
         edate = end_date
 
-    # if DEBUG: print("------------\n", edate, default_tstep, "\n------------\n")
+    # logging.debug("------------\n %s, %s \n------------\n", edate, default_tstep)
     date_picker = html.Span([
         dcc.DatePickerSingle(
             id='{}-date-picker'.format(div),
@@ -88,7 +140,7 @@ def obs_time_slider(div='obs', start=0, end=23, step=1, start_date=START_DATE, e
             # if tstep%2 == 0 else ''
             for tstep in range(start, end+1, step)
         }
-        if DEBUG: print("VIS MARKS", marks[list(marks.keys())[-1]])
+        logging.debug("VIS MARKS %s", marks[list(marks.keys())[-1]])
         marks[list(marks.keys())[-1]]['style'] = {}
         marks[list(marks.keys())[-1]]['style']['left'] = ''
         marks[list(marks.keys())[-1]]['style']['right'] = '-32px'
@@ -163,7 +215,7 @@ def tab_observations(window='rgb', start_date=START_DATE, end_date=END_DATE):
         html.Div([
             html.Img(
                 id='rgb-image',
-                src='./assets/eumetsat/FullDiscHD/archive/{date}/FRAME_OIS_RGB-dust-all_{date}{tstep:02d}00.gif'.format(date=end_date, tstep=0),
+                src=SATELLITE_IMAGE_SRC['fulldisc_obs'].format(date=end_date, tstep=0),
                 alt='EUMETSAT RGB - NOT AVAILABLE',
                 ),
             html.Div(
@@ -197,7 +249,7 @@ def tab_observations(window='rgb', start_date=START_DATE, end_date=END_DATE):
         html.Div([
             html.Img(
                 id='aod-image',
-                src='./assets/metoffice/{date}/MSG_{date}{tstep:02}00_AOD_444x278.gif'.format(date=aod_end_date, tstep=0),
+                src=SATELLITE_IMAGE_SRC['aod_image'].format(date=aod_end_date, tstep=0),
                 alt='MetOffice AOD - NOT AVAILABLE',
                 ),
             html.Div(
@@ -246,7 +298,7 @@ def tab_observations(window='rgb', start_date=START_DATE, end_date=END_DATE):
             #layout_view,
             html.Br(),
             html.Br(),
-            html.Div(DISCLAIMER_NO_FORECAST,
+            html.Div(DISCLAIMER_MODELS,
                 className='disclaimer'),
             ],
             className="layout-dropdown rgb-layout-dropdown",
diff --git a/tabs/observations_callbacks.py b/tabs/observations_callbacks.py
index a540e32de68810f6cf323502d0991ea78c88e014..44bb1ef52f37c3ab8edf755c5ec58ea6ce80b623 100644
--- a/tabs/observations_callbacks.py
+++ b/tabs/observations_callbacks.py
@@ -5,18 +5,17 @@ from dash.dependencies import Input
 from dash.dependencies import State
 from dash.dependencies import ALL
 from dash.exceptions import PreventUpdate
-from data_handler import DEBUG
-from data_handler import START_DATE, END_DATE
+from map_handler import DEBUG
+from map_handler import START_DATE, END_DATE
+from map_handler import SATELLITE_IMAGE_SRC
 
 from tabs.observations import tab_observations
 
 from datetime import datetime as dt
 import math
+import logging
 
-from data_handler import cache, cache_timeout 
-
-#def register_callbacks(app, cache, cache_timeout):
-#    """ Registering callbacks """
+from map_handler import cache, cache_timeout 
 
 @dash.callback(
     [Output('observations-tab', 'children'),
@@ -34,12 +33,10 @@ def render_observations_tab(rgb_button, vis_button):
     bold = { 'font-weight': 'bold' }
     norm = { 'font-weight': 'normal' }
 
-    if DEBUG:
-        print(rgb_button, vis_button)
+    logging.debug('rgb and vis buttons %s %s', rgb_button, vis_button)
 
     if ctx.triggered:
-        if DEBUG:
-            print(ctx.triggered[0]["prop_id"].split("."))
+        logging.debug('render_obs_tab ctx %s', ctx.triggered[0]["prop_id"].split("."))
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
 
         if button_id == "rgb" and rgb_button:
@@ -52,68 +49,6 @@ def render_observations_tab(rgb_button, vis_button):
         return dash.no_update, bold, norm, 'rgb'
     raise PreventUpdate
 
-#     @dash.callback(
-#         Output('aod-image', 'src'),
-#         [Input('obs-aod-date-picker', 'date'),
-#          Input('obs-aod-slider-graph', 'value')],
-#         prevent_initial_call=True
-#     )
-#     def update_aod_image_src(date, tstep):
-# 
-#         path_tpl = 'metoffice/{date}/MSG_{date}{tstep:02}00_AOD_444x278.gif'
-# 
-#         try:
-#             date = dt.strptime(date, '%Y-%m-%d').strftime('%Y%m%d')
-#         except:
-#             pass
-#         path = path_tpl.format(date=date, tstep=tstep)
-#         # print('......', path)
-#         return app.get_asset_url(path)
-# 
-#     # start/stop animation
-#     @dash.callback(
-#         [Output('obs-aod-slider-interval', 'disabled'),
-#          Output('obs-aod-slider-interval', 'n_intervals')],
-#         [Input('btn-obs-aod-play', 'n_clicks'),
-#          Input('btn-obs-aod-stop', 'n_clicks')],
-#         [State('obs-aod-slider-interval', 'disabled'),
-#          State('obs-aod-slider-graph', 'value')],
-#         prevent_initial_call=True
-#     )
-#     def start_stop_obs_aod_autoslider(n_play, n_stop, disabled, value):
-#         """ Play/Pause map animation """
-#         ctx = dash.callback_context
-#         if DEBUG: print("VALUE", value)
-#         if not value:
-#             value = 0
-#         if ctx.triggered:
-#             button_id = ctx.triggered[0]["prop_id"].split(".")[0]
-#             if button_id == 'btn-obs-aod-play' and disabled:
-#                 return not disabled, int(value)
-#             elif button_id == 'btn-obs-aod-stop' and not disabled:
-#                 return not disabled, int(value)
-# 
-#         raise PreventUpdate
-# 
-# 
-#     @dash.callback(
-#         Output('obs-aod-slider-graph', 'value'),
-#         [Input('obs-aod-slider-interval', 'n_intervals')],
-#         prevent_initial_call=True
-#         )
-#     def update_obs_aod_slider(n):
-#         """ Update slider value according to the number of intervals """
-#         if DEBUG: print('SERVER: updating slider-graph ' + str(n))
-#         if not n:
-#             return 0
-#         if n >= 24:
-#             tstep = int(round(24*math.modf(n/24)[0], 0))
-#         else:
-#             tstep = int(n)
-#         if DEBUG: print('SERVER: updating slider-graph ' + str(tstep))
-#         return tstep
-
-
 @dash.callback(
 [Output('rgb-image', 'src'),
  Output('btn-fulldisc', 'active'),
@@ -129,8 +64,7 @@ def render_observations_tab(rgb_button, vis_button):
 @cache.memoize(timeout=cache_timeout)
 def update_image_src(btn_fulldisc, btn_middleeast, date, tstep, btn_fulldisc_active, btn_middleeast_active):
 
-    if DEBUG:
-        print('BUTTONS', date, tstep, btn_fulldisc_active, btn_middleeast_active)
+    logging.debug('BUTTONS %s %s %s %s', date, tstep, btn_fulldisc_active, btn_middleeast_active)
     ctx = dash.callback_context
     if ctx.triggered:
         button_id = ctx.triggered[0]["prop_id"].split(".")[0]
@@ -142,14 +76,14 @@ def update_image_src(btn_fulldisc, btn_middleeast, date, tstep, btn_fulldisc_act
         elif btn_fulldisc_active:
             button_id = 'btn-fulldisc'
 
-    if DEBUG: print('BUTTONS', button_id)
+    logging.debug('BUTTONS %s', button_id)
 
     if button_id == 'btn-middleeast':
-        path_tpl = 'eumetsat/MiddleEast/archive/{date}/MET8_RGBDust_MiddleEast_{date}{tstep:02d}00.gif'
+        path_tpl = SATELLITE_IMAGE_SRC['middle_east']
         btn_fulldisc_active = False
         btn_middleeast_active = True
     elif button_id == 'btn-fulldisc':
-        path_tpl = 'eumetsat/FullDiscHD/archive/{date}/FRAME_OIS_RGB-dust-all_{date}{tstep:02d}00.gif'
+        path_tpl = SATELLITE_IMAGE_SRC['fulldisc']
         btn_fulldisc_active = True
         btn_middleeast_active = False
 
@@ -158,7 +92,7 @@ def update_image_src(btn_fulldisc, btn_middleeast, date, tstep, btn_fulldisc_act
     except:
         pass
     path = path_tpl.format(date=date, tstep=tstep)
-    if DEBUG: print('......', path)
+    logging.debug('...... %s', path)
     return dash.get_asset_url(path), btn_fulldisc_active, btn_middleeast_active
 
 
@@ -176,7 +110,7 @@ def update_image_src(btn_fulldisc, btn_middleeast, date, tstep, btn_fulldisc_act
 def start_stop_obs_autoslider(n_play, disabled, value):
     """ Play/Pause map animation """
     ctx = dash.callback_context
-    if DEBUG: print("VALUE", value)
+    logging.debug("VALUE %s", value)
     if not value:
         value = 0
     if ctx.triggered:
@@ -196,53 +130,18 @@ def start_stop_obs_autoslider(n_play, disabled, value):
 @cache.memoize(timeout=cache_timeout)
 def update_obs_slider(n):
     """ Update slider value according to the number of intervals """
-    if DEBUG: print('SERVER: updating slider-graph ' + str(n))
+    logging.debug('SERVER: updating slider-graph %s', str(n))
     if not n:
         return 0
     if n >= 24:
         tstep = int(round(24*math.modf(n/24)[0], 0))
     else:
         tstep = int(n)
-    if DEBUG: print('SERVER: updating slider-graph ' + str(tstep))
+    logging.debug('SERVER: updating slider-graph %s', str(tstep))
     return tstep
 
-#    @dash.callback(
-#        [Output({'tag': 'model-tile-layer', 'index': ALL}, 'url'),
-#         Output({'tag': 'model-tile-layer', 'index': ALL}, 'attribution'),
-#         Output({'tag': 'view-style', 'index': ALL}, 'active')],
-#        [Input({'tag': 'view-style', 'index': ALL}, 'n_clicks')],
-#        [State({'tag': 'view-style', 'index': ALL}, 'active'),
-#         State({'tag': 'model-tile-layer', 'index': ALL}, 'url')],
-#        prevent_initial_call=True
-#    )
-#    # @cache.memoize(timeout=cache_timeout)
+# MOVED TO GENERIC CALLBACKS
 #    def update_styles_button(*args):
-#        """ Function updating styles button """
-#        ctx = dash.callback_context
-#        if ctx.triggered:
-#            button_id = orjson.loads(ctx.triggered[0]["prop_id"].split(".")[0])
-#            if DEBUG: print("BUTTON ID", str(button_id), type(button_id))
-#            if button_id['index'] in STYLES:
-#                active = args[-2]
-#                graphs = args[-1]
-#                num_graphs = len(graphs)
-#                # if DEBUG: print("CURRENT ARGS", str(args))
-#                # if DEBUG: print("NUM GRAPHS", num_graphs)
-#
-#                res = [False for i in active]
-#                st_idx = list(STYLES.keys()).index(button_id['index'])
-#                if active[st_idx] is False:
-#                    res[st_idx] = True
-#                url = [STYLES[button_id['index']]['url'] for x in range(num_graphs)]
-#                attr = [STYLES[button_id['index']]['attribution'] for x in range(num_graphs)]
-#                if DEBUG:
-#                    print(res, url, attr)
-#                return url, attr, res
-#                # return [True if i == button_id['index'] else False for i in active]
-#
-#        if DEBUG: print('NOTHING TO DO')
-#        raise PreventUpdate
-
 
 @dash.callback(
     Output('obs-vis-graph', 'children'),
@@ -254,9 +153,9 @@ def update_obs_slider(n):
 )
 @cache.memoize(timeout=cache_timeout)
 def update_vis_figure(date, tstep, zoom, center):
-    from tools import get_vis_figure
-    from tools import get_models_figure
-    if DEBUG: print("*************", date, tstep, zoom, center)
+    from callback_tools import get_vis_figure
+    from callback_tools import get_figure
+    logging.debug("************* %s %s %s %s", date, tstep, zoom, center)
     if date is not None:
         date = date.split(' ')[0]
         try:
@@ -278,8 +177,7 @@ def update_vis_figure(date, tstep, zoom, center):
         center = None
 
     # view = list(STYLES.keys())[view.index(True)]
-    if DEBUG: print('SERVER: VIS callback date {}, tstep {}'.format(date, tstep))
-    df, points_layer = get_vis_figure(tstep=tstep, selected_date=date)
-    if DEBUG: print("POINTS LAYER", points_layer)
-    fig = get_models_figure(model=None, var=None, layer=points_layer, zoom=zoom, center=center, tag='obs-vis')
+    logging.debug('SERVER: VIS callback date %s tstep %s', date, tstep)
+    layers = get_vis_figure(tstep=tstep, selected_date=date)
+    fig = get_figure(layers=layers, zoom=zoom, center=center, tag='obs-vis')
     return fig
diff --git a/tests/test_data_handler.py b/tests/test_data_handler.py
deleted file mode 100644
index 2e20ba378c624be4d3c617735b612f73bbe30555..0000000000000000000000000000000000000000
--- a/tests/test_data_handler.py
+++ /dev/null
@@ -1,285 +0,0 @@
-import pytest
-from datetime import datetime
-from datetime import timedelta
-import importlib
-code = importlib.import_module('data_handler')
-from data_handler import END_DATE
-from data_handler import FREQ
-
-FMT_ISO = "%Y%m%d"
-FMT_DASH = "%Y-%m-%d"
-FMT_MON = "%d %b %Y"
-FMT_MON_HR = f"%Hh {FMT_MON}"
-FMT_FULLMON = "%d %B %Y"
-FMT_FULLMON_HR = f"%Hh {FMT_FULLMON}"
-FMT_HR = "%H:%M:%S"
-FMT_DASH_HR = f"{FMT_DASH} {FMT_HR}"
-EDATE_OBJ = datetime.strptime(END_DATE, FMT_ISO)
-EDATE_PREV = (datetime.strptime(END_DATE, FMT_ISO) - timedelta(days=7)).strftime(FMT_ISO)
-
-#.strftime("%d %B %Y"))
-@pytest.fixture
-def aeronet_instance():
-    return code.Observations1dHandler(EDATE_PREV, END_DATE , 'aeronet') 
-
-def test_generate_obs1d_tstep_trace1(aeronet_instance):
-    run = aeronet_instance.generate_obs1d_tstep_trace('OD550_DUST')
-    assert str(type(run[1])) == "<class 'dash_leaflet.GeoJSON.GeoJSON'>"
-
-# @pytest.fixture 
-# def obsTSHandler_instance():
-#     return code.ObsTimeSeriesHandler('aeronet','20220404','20220405', 'OD550_DUST', ['median', 'monarch']) 
-#
-# def test_retrieve_timeseries():
-#     assert obsTSHandler_instance.retrieve_timeseries(idx, st_name, model) == 'hello'
-
-    
-# =================== TIME SERIES HANDLER ============================
-@pytest.fixture
-def TSHandler():
-    return code.TimeSeriesHandler('median', END_DATE, 'OD550_DUST')
-
-# def test_TimeSeriesHandler(TSHandler):
-#     run = TSHandler.retrieve_single_point(1, 45, 45, model='median')
-#     assert float(run) == 0.10633552074432373
-# 
-# def test_TimeSeriesHandler_1(TSHandler):
-#     run = TSHandler.retrieve_single_point(3, 5, 5, model=None)
-#     assert float(run) == 0.00830854382365942
-
-def test_retrieve_timeseries(TSHandler):
-    run = TSHandler.retrieve_timeseries(5, 5, model=None, method='netcdf', forecast=False)
-    assert run.layout.title.text =='Dust Optical Depth @ lat = 5 and lon = 5'
-
-def test_retrieve_timeseries_1(TSHandler):
-    run = TSHandler.retrieve_timeseries(35, 15, model='monarch', method='netcdf', forecast=True)
-    assert run.layout.title.text =='Dust Optical Depth @ lat = 35 and lon = 15'
-
-def test_retrieve_timeseries_2(TSHandler):
-    run = TSHandler.retrieve_timeseries(35, 15, model='monarch', method='netcdf', forecast=True)
-    assert run.data[0].name == 'MULTI-MODEL (35.25, 15.25)'
-
-# =================== FIGURE HANDLER ============================
-@pytest.fixture
-def FigureHandler():
-    return code.FigureHandler('median', END_DATE)
-
-def test_FH_get_center(FigureHandler):
-    assert FigureHandler.get_center([35,45]) == [35, 45]
-    assert FigureHandler.get_center([-35,-45]) == [-35, -45]
-
-def test_set_data_AOD(FigureHandler):
-    assert FigureHandler.set_data('OD550_DUST', tstep=0)[0][0] == -26.75
-
-def test_set_data_SCONC(FigureHandler):
-    assert FigureHandler.set_data('SCONC_DUST', tstep=0)[0][0] == -26.75
-
-def test_retrieve_cdatetime(FigureHandler):
-    assert str(FigureHandler.retrieve_cdatetime(tstep=0)) == EDATE_OBJ.strftime(FMT_DASH_HR)  # '2022-06-06 12:00:00'
-    assert str(FigureHandler.retrieve_cdatetime(tstep=6)) == (EDATE_OBJ + timedelta(hours=6*FREQ)).strftime(FMT_DASH_HR)  # '2022-06-07 06:00:00'
-    assert str(FigureHandler.retrieve_cdatetime(tstep=12)) == (EDATE_OBJ + timedelta(hours=12*FREQ)).strftime(FMT_DASH_HR)  # '2022-06-08 00:00:00'
-
-def test_generate_contour_tstep_trace_leaflet(FigureHandler):
-    result = "GeoJSON(hideout={'colorscale': ['rgba(255,255,255,0.4)', '#a1ede3', '#5ce3ba', '#fcd775', '#da7230', '#9e6226', '#714921', '#392511', '#1d1309'], 'bounds': array([ 0. ,  0.1,  0.2,  0.4,  0.8,  1.2,  1.6,  3.2,  6.4, 10. ]"
-    assert result in str(FigureHandler.generate_contour_tstep_trace_leaflet('OD550_DUST', tstep=0)[0])
-    result2 = "Colorbar(classes=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9], colorscale=['rgba(255,255,255,0.4)', '#a1ede3', '#5ce3ba', '#fcd775', '#da7230', '#9e6226', '#714921', '#392511', '#1d1309']"
-    assert result2 in str(FigureHandler.generate_contour_tstep_trace_leaflet('OD550_DUST', tstep=0)[1])
-
-def test_generate_contour_tstep_trace_AOD(FigureHandler):
-    assert FigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=0)['name'] == 'Dust Optical Depth_contours'
-    assert FigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=0)['showlegend'] == False
-
-def test_generate_contour_tstep_trace_SCONC(FigureHandler):
-    assert FigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=0)['name'] == 'Dust Surface Conc. (µg/m³)_contours'
-    assert FigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=0)['showlegend'] == False
-
-def test_generate_var_tstep_trace_leaflet_AOD(FigureHandler):
-    assert str(FigureHandler.generate_var_tstep_trace_leaflet(varname='OD550_DUST', tstep=0))[0:162] == "GeoJSON(data={'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'geometry': {'type': 'Point', 'coordinates': [-26.75, 0.25]}, 'properties': {'value': "
-
-def test_generate_var_tstep_trace_leaflet_SCONC(FigureHandler):
-    assert str(FigureHandler.generate_var_tstep_trace_leaflet(varname='SCONC_DUST', tstep=0))[0:162] == "GeoJSON(data={'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'geometry': {'type': 'Point', 'coordinates': [-26.75, 0.25]}, 'properties': {'value': "
-
-def test_generate_var_tstep_trace_AOD(FigureHandler):
-    assert FigureHandler.generate_var_tstep_trace(varname='OD550_DUST', tstep=0)['name'] == "MULTI-MODEL" 
-
-def test_generate_var_tstep_trace_SCONC(FigureHandler):
-    assert FigureHandler.generate_var_tstep_trace(varname='SCONC_DUST', tstep=6)['name'] == "MULTI-MODEL" 
-
-def test_get_title(FigureHandler):
-    assert FigureHandler.get_title('OD550_DUST', tstep=0) == 'MULTI-MODEL Dust Optical Depth (550nm)<br>Valid: {edate} (H+00)'.format(edate=EDATE_OBJ.strftime(FMT_MON_HR))
-    assert FigureHandler.get_title('SCONC_DUST', tstep=9) == 'MULTI-MODEL Dust Surface Conc. (µg/m³)<br>Valid: {edate} (H+27)'.format(edate=(EDATE_OBJ + timedelta(hours=9*FREQ)).strftime(FMT_MON_HR))
-
-def test_hour_to_step(FigureHandler):
-    assert FigureHandler.hour_to_step(0) == 0
-    assert FigureHandler.hour_to_step(3) == int(3/FREQ)
-    assert FigureHandler.hour_to_step(6) == int(6/FREQ)
-    assert FigureHandler.hour_to_step(36) == int(36/FREQ)
-
-def test_retrieve_var_tstep(FigureHandler):
-    assert FigureHandler.retrieve_var_tstep(varname='OD550_DUST', tstep=0, hour=None, static=True, aspect=(1,1), center=None, selected_tiles='carto-positron', zoom=None, layer=None, tag='empty').children[0].id == {'tag': 'model-tile-layer', 'index': 'median'}
-    assert FigureHandler.retrieve_var_tstep(varname='OD550_DUST', tstep=0, hour=None, static=True, aspect=(1,1), center=None, selected_tiles='carto-positron', zoom=None, layer=None, tag='empty').children[3].classes == [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
-    assert str(FigureHandler.retrieve_var_tstep(varname='OD550_DUST', tstep=0, hour=None, static=True, aspect=(1,1), center=None, selected_tiles='carto-positron', zoom=None, layer=None, tag='empty').children[4].children) == "P(B(['MULTI-MODEL Dust Optical Depth (550nm)', Br(None), 'Valid: {edate} (H+00)']))".format(edate=EDATE_OBJ.strftime(FMT_MON_HR))
-
-# =================== Scores Figure Handler ============================
-@pytest.fixture
-def ScoresFigureHandler():
-    return code.ScoresFigureHandler('aeronet', 'bias', '{edate}'.format(edate=EDATE_OBJ.strftime("%Y%m")))
-
-def test_get_mapbox(ScoresFigureHandler):
-    assert ScoresFigureHandler.get_mapbox('carto-positron', False, 2.8, None)['bearing'] == 0
-    assert ScoresFigureHandler.get_mapbox('carto-positron', False, 2.8, None)['pitch'] == 0
-    assert ScoresFigureHandler.get_mapbox('carto-positron', False, 2.8, None)['uirevision'] == True
-    assert ScoresFigureHandler.get_mapbox('carto-positron', False, 2.8, None)['zoom'] == 2.8
-    assert str(ScoresFigureHandler.get_mapbox('carto-positron', False, 2.8, None)['center']) == "layout.mapbox.Center({\n    'lat': 33.5, 'lon': 16.5\n})"
-
-def test_generate_trace(ScoresFigureHandler):
-    stats = ['Lille', 'Mainz', 'Palaiseau', 'Paris', 'Kyiv']
-    vals = [-0.11, -0.12, -0.07, -0.09, -0.14]
-    assert ScoresFigureHandler.generate_trace(35, 35, stats, vals)['name'] == 'MBE score'
-    assert ScoresFigureHandler.generate_trace(35, 35, stats, vals)['marker']['cmin'] == -0.1
-    assert ScoresFigureHandler.generate_trace(35, 35, stats, vals)['marker']['cmax'] == 0.1
-    assert ScoresFigureHandler.generate_trace(35, 35, stats, vals)['marker']['colorbar']['x'] == 0.94
-
-def test_retrieve_scores(ScoresFigureHandler):
-    assert ScoresFigureHandler.retrieve_scores('median', aspect=(1,1), center=None).data[1].name == 'MBE score'  
-    assert ScoresFigureHandler.retrieve_scores('median', aspect=(1,1), center=None).data[1].type == 'scattermapbox'  
-
-# =================== Vis Handler ============================
-@pytest.fixture
-def VisFigureHandler():
-    return code.VisFigureHandler(END_DATE)
-
-# def test_set_data(VisFigureHandler):
-#     assert VisFigureHandler.set_data(0)[5][1][0] == [11]
-#     assert VisFigureHandler.set_data(0)[5][3][0][1] == 1
-#     assert VisFigureHandler.set_data(24) == ([], [], [], [], [], ())
-#     assert VisFigureHandler.set_data(36) == ([], [], [], [], [], ())
-
-def test_generate_var_tstep_trace(VisFigureHandler):
-    returned = VisFigureHandler.generate_var_tstep_trace([], [], [], [], [], (), ('#714921', '#da7230', '#fcd775', 'CadetBlue'), ('<1 km', '1 - 2 km', '2 - 5 km', 'Haze'), ('o', 'o', 'o', '^'), 6)
-    assert len(returned) == 2
-    assert str(type(returned[0])) == "<class 'pandas.core.frame.DataFrame'>"
-    assert returned[1][1].id == 'vis-info'
-    assert returned[1][1].children ==['NO DATA AVAILABLE']
-    assert returned[1][0].data['type'] == 'FeatureCollection'
-
-def test_vis_get_title(VisFigureHandler):
-    assert str(VisFigureHandler.get_title(tstep=0)) =="['Visibility reduced by airborne dust', Br(None), '{edate} 00-06 UTC']".format(edate=EDATE_OBJ.strftime(FMT_FULLMON))
-    assert str(VisFigureHandler.get_title(tstep=9)) =="['Visibility reduced by airborne dust', Br(None), '{edate} 09-15 UTC']".format(edate=EDATE_OBJ.strftime(FMT_FULLMON))
-    assert str(VisFigureHandler.get_title(tstep=39)) =="['Visibility reduced by airborne dust', Br(None), '{edate} 39-45 UTC']".format(edate=EDATE_OBJ.strftime(FMT_FULLMON))
-    assert str(VisFigureHandler.get_title(tstep=72)) =="['Visibility reduced by airborne dust', Br(None), '{edate} 72-78 UTC']".format(edate=EDATE_OBJ.strftime(FMT_FULLMON))
-
-def test_vis_retrieve_var_tstep(VisFigureHandler):
-    result = VisFigureHandler.retrieve_var_tstep(tstep=0, hour=None, static=True, aspect=(1,1), center=None)
-    assert str(type(result[0])) == "<class 'pandas.core.frame.DataFrame'>"
-    assert result[1][0].data['type'] =='FeatureCollection'
-
-    result = VisFigureHandler.retrieve_var_tstep(tstep=1, hour=1, static=True, aspect=(1,1), center=None)
-    assert str(type(result[0])) == "<class 'pandas.core.frame.DataFrame'>"
-    assert result[1][0].data['type'] =='FeatureCollection'
-
-# =================== Prob Handler ============================
-@pytest.fixture
-def ProbFigureHandler():
-    return code.ProbFigureHandler('OD550_DUST', 0.1, END_DATE)
-
-# def test_prob_set_data(ProbFigureHandler):
-#     assert ProbFigureHandler.set_data('OD550_DUST', tstep=0)[0].data[0] == -24.75
-#     assert ProbFigureHandler.set_data('OD550_DUST', tstep=0)[0].data[9] == -20.25
-#     assert ProbFigureHandler.set_data('OD550_DUST', tstep=0)[1].data[9] == 5.25
-
-def test_prob_retrieve_cdatetime(ProbFigureHandler):
-    assert str(ProbFigureHandler.retrieve_cdatetime(tstep=0)) == '{edate} 00:00:00'.format(edate=EDATE_OBJ.strftime(FMT_DASH))
-    assert str(ProbFigureHandler.retrieve_cdatetime(tstep=1)) == '{edate} 00:00:00'.format(edate=(EDATE_OBJ + timedelta(days=1)).strftime(FMT_DASH))
-
-def test_prob_generate_contour_tstep_trace_AOD(ProbFigureHandler):
-    #test day 0
-    assert ProbFigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=0)[0].url == '/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/00_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
-    assert ProbFigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=0)[0].options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
-    assert ProbFigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=0)[1].classes ==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
-
-    #test day 1
-    assert ProbFigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=1)[0].url == '/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/01_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
-    assert ProbFigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=1)[0].options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
-    assert ProbFigureHandler.generate_contour_tstep_trace('OD550_DUST', tstep=1)[1].classes ==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
-
-def test_prob_generate_contour_tstep_trace_SCONC(ProbFigureHandler):
-    #test day 0
-    assert ProbFigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=0)[0].url == '/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/00_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
-    assert ProbFigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=0)[0].options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
-    assert ProbFigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=0)[1].classes ==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
-
-    #test day 1
-    assert ProbFigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=1)[0].url == '/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/01_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
-    assert ProbFigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=1)[0].options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
-    assert ProbFigureHandler.generate_contour_tstep_trace('SCONC_DUST', tstep=1)[1].classes == [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
-
-def test_prob_get_title(ProbFigureHandler):
-    assert ProbFigureHandler.get_title('OD550_DUST', tstep=0)[-30:] == '{edate} Valid: {edate}'.format(edate=EDATE_OBJ.strftime(FMT_MON))
-    assert ProbFigureHandler.get_title('SCONC_DUST', tstep=1)[-30:] == '{edate} Valid: {edate_next}'.format(edate=EDATE_OBJ.strftime(FMT_MON), edate_next=(EDATE_OBJ + timedelta(days=1)).strftime(FMT_MON))
-
-def test_prob_retrieve_var_tstep(ProbFigureHandler):
-    assert ProbFigureHandler.retrieve_var_tstep('OD550_DUST', 0, True, (1,1))[0].url == '/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/00_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
-    assert ProbFigureHandler.retrieve_var_tstep('OD550_DUST', 1, True, (1,1))[0].options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
-
-    assert ProbFigureHandler.retrieve_var_tstep('SCONC_DUST', 1, True, (1,1))[0].url =='/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/01_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
-    assert ProbFigureHandler.retrieve_var_tstep('SCONC_DUST', 0, True, (1,1))[0].options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
-
-
-# =================== Was Handler ============================
-@pytest.fixture
-def WasFigureHandler():
-    return code.WasFigureHandler(was='burkinafaso', model='median', variable='SCONC_DUST', selected_date=END_DATE)
-
-def test_was_get_regions_data(WasFigureHandler):
-    #day 1
-    assert WasFigureHandler.get_regions_data(day=1)[0][0] == 'Boucle du Mouhoun'
-    assert WasFigureHandler.get_regions_data(day=1)[0][1] == 'Cascades'
-    assert WasFigureHandler.get_regions_data(day=1)[0][-1] == 'Sud-Ouest'
-
-    assert WasFigureHandler.get_regions_data(day=1)[1][0] == 'green'
-    assert WasFigureHandler.get_regions_data(day=1)[1][1] == 'green'
-    assert WasFigureHandler.get_regions_data(day=1)[1][-1] == 'green'
-
-    assert WasFigureHandler.get_regions_data(day=1)[2][0] == 'Normal'
-    assert WasFigureHandler.get_regions_data(day=1)[2][1] == 'Normal'
-    assert WasFigureHandler.get_regions_data(day=1)[2][-1] =='Normal'
-
-    #day 2
-    assert WasFigureHandler.get_regions_data(day=2)[0][0] == 'Boucle du Mouhoun'
-    assert WasFigureHandler.get_regions_data(day=2)[0][1] == 'Cascades'
-    assert WasFigureHandler.get_regions_data(day=2)[0][-1] == 'Sud-Ouest'
-
-    assert WasFigureHandler.get_regions_data(day=2)[1][0] == 'green'
-    assert WasFigureHandler.get_regions_data(day=2)[1][1] == 'green'
-    assert WasFigureHandler.get_regions_data(day=2)[1][-1] == 'green'
-
-    assert WasFigureHandler.get_regions_data(day=2)[2][0] == 'Normal'
-    assert WasFigureHandler.get_regions_data(day=2)[2][1] == 'Normal'
-    assert WasFigureHandler.get_regions_data(day=2)[2][-1] =='Normal'
-
-def test_was_get_geojson_url(WasFigureHandler):
-    assert WasFigureHandler.get_geojson_url(day=1) == '/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_1.geojson'.format(edate=END_DATE)
-    assert WasFigureHandler.get_geojson_url(day=2) == '/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_2.geojson'.format(edate=END_DATE)
-    
-def test_was_retrieve_cdatetime(WasFigureHandler):
-    assert str(WasFigureHandler.retrieve_cdatetime(tstep=0)) == '{edate} 00:00:00'.format(edate=EDATE_OBJ.strftime(FMT_DASH))
-
-def test_was_generate_contour_tstep_trace(WasFigureHandler):
-    assert WasFigureHandler.generate_contour_tstep_trace(1)[0].options == {'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}
-    assert WasFigureHandler.generate_contour_tstep_trace(1)[0].url == '/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_1.geojson'.format(edate=END_DATE)
-    assert WasFigureHandler.generate_contour_tstep_trace(1)[1].className == 'was-legend'
-
-    assert WasFigureHandler.generate_contour_tstep_trace(2)[0].options == {'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}
-    assert WasFigureHandler.generate_contour_tstep_trace(2)[0].url == '/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_2.geojson'.format(edate=END_DATE)
-    assert WasFigureHandler.generate_contour_tstep_trace(2)[1].className == 'was-legend'
-    
-def test_was_get_title(WasFigureHandler):
-    assert str(WasFigureHandler.get_title(0)) =="Barcelona Dust Regional Center - Burkina Faso WAS.<br>Expected concentration of airborne dust.<br>Issued: {edate}. Valid: {edate}".format(edate=EDATE_OBJ.strftime(FMT_MON))
-    assert str(WasFigureHandler.get_title(1)) =="Barcelona Dust Regional Center - Burkina Faso WAS.<br>Expected concentration of airborne dust.<br>Issued: {edate}. Valid: {edate_next}".format(edate=EDATE_OBJ.strftime(FMT_MON), edate_next=(EDATE_OBJ + timedelta(days=1)).strftime(FMT_MON))
-
-def test_was_retrieve_var_tstep(WasFigureHandler):
-    assert WasFigureHandler.retrieve_var_tstep(1, True, (1,1))[0].url =='/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_1.geojson'.format(edate=END_DATE)
-    assert WasFigureHandler.retrieve_var_tstep(1, True, (1,1))[0].options =={'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}
-    assert WasFigureHandler.retrieve_var_tstep(2, True, (1,1))[0].url =='/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_2.geojson'.format(edate=END_DATE)
-    assert WasFigureHandler.retrieve_var_tstep(2, True, (1,1))[0].options =={'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}
diff --git a/tests/test_evaluation_callbacks.py b/tests/test_evaluation_callbacks.py
index 2d0353b1cb4d68116350964f3deb899a04f71bcb..e78bbc4ae96ddf99d8bac8eac6e1c5540cabef91 100644
--- a/tests/test_evaluation_callbacks.py
+++ b/tests/test_evaluation_callbacks.py
@@ -7,6 +7,7 @@ import dash
 from dash._callback_context import context_value
 from dash._utils import AttributeDict
 code = importlib.import_module('tabs.evaluation_callbacks')
+from map_handler import START_DATE, END_DATE
 
 #add equality checker for objects
 def __eq__(self, other):
@@ -14,9 +15,6 @@ def __eq__(self, other):
         return self.a == other.a and self.b == other.b
     return False
 
-#============ TEST extend_l============================================
-def test_extend_l():
-    assert code.extend_l([[1],[2],[3]]) == [1,2,3]
 
 #============ TEST render_evaluation_tab=================================
 def test_render_evaluation_tab():
@@ -35,7 +33,7 @@ def test_no_data_modis():
     assert code._no_modis_data() == ([{'name': 'NO DATA', 'id': ''}], [], {'display': 'block'})
 
 #============ TEST update_time_selection===================================
-def test_update_time_selection():
+def test_update_time_selection_seasonal():
     def run_callback():
         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "obs-timescale-dropdown.value"},{"prop_id": "obs-network-dropdown.value"}]}))
         return code.update_time_selection('seasonal', 'modis') 
@@ -44,7 +42,24 @@ def test_update_time_selection():
     output = ctx.run(run_callback)
     assert "'Spring 2018', 'value': '201803-201805'}], 'Select season')" in str(output)
 
+def test_update_time_selection_annual():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "obs-timescale-dropdown.value"},{"prop_id": "obs-network-dropdown.value"}]}))
+        return code.update_time_selection('annual', 'modis') 
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert "{'label': '2018', 'value': '201801-201812'}], 'Select year')" in str(output)
+
 
+def test_update_time_selection_monthly():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "obs-timescale-dropdown.value"},{"prop_id": "obs-network-dropdown.value"}]}))
+        return code.update_time_selection('monthly', 'modis') 
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert "{'label': 'April 2023', 'value': '202304'}, {'label': 'March 2023', 'value': '202303'}, {'label': 'February 2023', 'value': '202302'}, {'label': 'January 2023', 'value': '202301'}" in str(output)
 #============ TEST modis_scores_tables_retrieve========================
 def test_modis_scores_tables_retrieve_no_n_click():
     def run_callback():
@@ -141,3 +156,100 @@ def test_aeronet_scores_tables_retrieve_no_data():
     ctx = copy_context()
     output = ctx.run(run_callback)
     assert output[0] == [{'id': 'station', 'name': ['NO DATA']},{'id': 'station', 'name': ['NO DATA']}, {'id': 'station', 'name': ['NO DATA']},  {'id': 'station', 'name': ['NO DATA']}, {'id': 'station', 'name': ['NO DATA']}]
+
+#=====================test show eval modis timeseries===============================
+# def test_show_eval_modis_timeseries():
+#     def run_callback():
+#         #df_input is not the correct format and needs to be changed
+#         df_input = {'lon': {'10': 10.949999809265137}, 'lat': {'10': 44.630001068115234}, 'stations': {'10': 'Modena'}}
+#         context_value.set(AttributeDict(**{"triggered_inputs": 
+#             [{"prop_id": "ts-eval-modis-button.n_clicks"},
+#                 {"prop_id": "modis-clicked-coords.data"},
+#                 {"prop_id": "eval-date-picker.date"},
+#                 {"prop_id": "obs-dropdown.value"},
+#                 {"prop_id": "obs-mod-dropdown.value"}]}))
+#         return code.show_eval_modis_timeseries.uncached(1, df_input, START_DATE, 'aeronet', 'median')
+#
+#     ctx = copy_context()
+#     output = ctx.run(run_callback)
+#     assert output == 0
+
+#=====================test show aeronet modis timeseries===============================
+def test_show_eval_aeronet_timeseries():
+    def run_callback():
+        df_input = {'lon': {'10': 10.949999809265137}, 'lat': {'10': 44.630001068115234}, 'stations': {'10': 'Modena'}}
+        context_value.set(AttributeDict(**{"triggered_inputs": 
+            [{"prop_id": "ts-eval-button.n_clicks"},
+                {"prop_id": "stations-clicked-coords.data"},
+                {"prop_id": "eval-date-picker.start_date"},
+                {"prop_id": "eval-date-picker.end_date"},
+                {"prop_id": "obs-dropdown.value"},
+                {"prop_id": "obs-mod-dropdown.value"}]}))
+        return code.show_eval_aeronet_timeseries.uncached(1, df_input, START_DATE, END_DATE, 'aeronet', 'monarch')
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output[0].children.id == 'timeseries-eval-modal'
+    assert output[0].children.config == {'displayModeBar': True, 'displaylogo': False, 'modeBarButtonsToRemove': ['zoom2d', 'pan2d', 'select2d', 'lasso2d', 'autoScale2d']}
+    assert output[1] == True
+    
+#===================== test update_eval_aeronet ===============================
+def test_update_eval_aeronet():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": 
+            [{"prop_id": "eval-apply.n_clicks"},
+                {"prop_id": "obs-models-dropdown.start_date"},
+                {"prop_id": "obs-models-dropdown._date"},
+                {"prop_id": "obs-selection-dropdown.value"}]}))
+        return code.update_eval_aeronet.uncached(1, START_DATE, END_DATE, 'aeronet')  
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert list(output[0].keys()) == ['lon', 'lat', 'stations']
+    assert output[1].id == {'index': 'None', 'tag': 'empty-map'}
+    assert output[1].children[0].id == {'tag': 'empty-tile-layer', 'index': 'None'}
+    assert output[0]['stations'][88] == 'REIMS_GSMA'
+    assert output[0]['lat'][88] == 49.2400016784668
+    assert output[0]['lon'][88] == 4.070000171661377
+    assert "<a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors &copy; <a href='https://carto.com/attributions'>CARTO</a>" in str(output[1])
+
+#===================== test update_eval_modis ===============================
+def test_update_eval_modis():
+    def run_callback():
+        mod_div = {'props': {'children': [{'props': {'children': None, 'id': {'tag': 'empty-tile-layer', 'index': 'None'}, 'attribution': "&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors &copy; <a href='https://carto.com/attributions'>CARTO</a>", 'url': 'https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'}, 'type': 'TileLayer', 'namespace': 'dash_leaflet'}, {'props': {'position': 'topright'}, 'type': 'FullscreenControl', 'namespace': 'dash_leaflet'}, None, None, None, None], 'id': {'tag': 'empty-map', 'index': 'None'}, 'animate': False, 'center': [30, 15], 'inertia': True, 'minZoom': 2, 'preferCanvas': True, 'wheelDebounceTime': 80, 'wheelPxPerZoomLevel': 120, 'zoom': 2.9, 'zoomSnap': 0.1, 'bounds': [[-24.686952411999144, -31.640625000000004], [65.87472467098549, 61.52343750000001]]}, 'type': 'Map', 'namespace': 'dash_leaflet'}
+
+        context_value.set(AttributeDict(**{"triggered_inputs": 
+            [{"prop_id": "eval-apply.n_clicks"},
+                {"prop_id": "eval-date-picker.date"},
+                {"prop_id": "obs-models-dropdown.date"},
+                {"prop_id": "obs-dropdown.value"},
+                {"prop_id": "graph-eval-modis-mod.children"}]}))
+        return code.update_eval_modis.uncached(1, START_DATE, 'median', 'modis', mod_div)  
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output[0].id == {'index': 'modis', 'tag': 'modis-map'}
+    assert output[0].children[0].id == {'tag': 'modis-tile-layer', 'index': 'modis'}
+    assert output[0].children[0].attribution == "&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors &copy; <a href='https://carto.com/attributions'>CARTO</a>"
+    assert output[1].children[0].url == 'https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'
+    assert output[1].id == {'index': 'None', 'tag': 'empty-map'}
+
+#===================== test update_eval('modis') ===============================
+def test_update_eval_test_modis():
+    assert str(code.update_eval.uncached('modis')[0][0]) == "Label('Date')"
+    assert code.update_eval.uncached('modis')[0][1].id == "eval-date-picker"
+    assert code.update_eval.uncached('modis')[0][1].display_format == 'DD MMM YYYY'
+
+    assert " zoomSnap=0.1), id='graph-eval-modis-obs'), Div(children=P('Aerosol data ©2023 WMO Barcelona Dust Regional Center, NASA.')" in str(code.update_eval.uncached('modis')[1][0]) 
+    assert str(code.update_eval.uncached('modis')[2]) == "modis"
+    assert str(code.update_eval.uncached('modis')[3]) == "{'display': 'table-cell'}"
+
+#===================== test update_eval('aeronet') ===============================
+def test_update_eval_test_aeronet():
+    assert str(code.update_eval.uncached('aeronet')[0][0]) == "Label('Date range')"
+    assert code.update_eval.uncached('aeronet')[0][1].id == "eval-date-picker"
+    assert code.update_eval.uncached('aeronet')[0][1].display_format == 'DD MMM YYYY'
+
+    assert "id='graph-eval-aeronet'), Div(children=P('Aerosol data ©2023 WMO Barcelona Dust Regional Center, NASA.'), id='eval-aeronet-disclaimer', className='disclaimer" in str(code.update_eval.uncached('aeronet')[1]) 
+    assert str(code.update_eval.uncached('aeronet')[2]) == "aeronet"
+    assert str(code.update_eval.uncached('aeronet')[3]) == "{'display': 'none'}"
diff --git a/tests/test_forecast.py b/tests/test_forecast.py
index 3c7e26afe5e03c9ce0483d7d6f3a731b02a939f7..cade99fe2784e12b5bbdfdc8e3ad9e5570ad967d 100644
--- a/tests/test_forecast.py
+++ b/tests/test_forecast.py
@@ -1,17 +1,8 @@
 import importlib
-from data_handler import VARS 
-from data_handler import MODELS
+from map_handler import VARS 
+from map_handler import MODELS
 code = importlib.import_module('tabs.forecast')
 
-def test_layout_view():
-    assert  "Div(children=[Span(DropdownMenu(children=[DropdownMenuItem(children='Light', id={'tag': 'view-style', 'index': 'carto-positron'}, active=True), DropdownMenuItem(children='Open street map', id={'tag': 'view-style', 'index': 'open-street-map'}, active=False), DropdownMenuItem(children='Terrain', id={'tag': 'view-style', 'index': 'stamen-terrain'}, active=False), DropdownMenuItem(children='ESRI', id={'tag': 'view-style', 'index': 'esri-world'}, active=False)], id='map-view-dropdown', direction='up', in_navbar=True, label='VIEW'))], id='map-view-dropdown-div')" in str(code.layout_view())
-
-def test_time_series():
-    assert  "Div(children=[Spinner(children=[Modal(children=[], id='ts-modal', centered=True, is_open=False, size='xl')], id='loading-ts-modal', fullscreen=True, fullscreen_style={'opacity': '0.5', 'zIndex': '200000'}, show_initially=False)], id='open-timeseries')" in str(code.time_series())
-
-def test_layout_layers():
-    assert  "Div([Span(DropdownMenu(children=[DropdownMenuItem(children='AIRPORTS', id='airports')], id='map-layers-dropdown', direction='up', label='LAYERS'))])" in str(code.layout_layers())
-
 def test_model_time_bar():
     assert str(code.gen_time_bar('model', '20120120', '20220808').children[0]) == "Span(children=[DatePickerSingle(date='20220808', min_date_allowed=datetime.datetime(2012, 1, 20, 0, 0), max_date_allowed=datetime.datetime(2022, 8, 8, 0, 0), placeholder='DD MON YYYY', initial_visible_month=datetime.datetime(2022, 8, 8, 0, 0), display_format='DD MMM YYYY', id='model-date-picker'), Button(id='clear_button')], className='timesliderline')"
     assert str(code.gen_time_bar('model', '20120120', '20220808').children[1]) == "Span(children=[Button(id='btn-play', className='fa fa-play text-center', n_clicks=0, title='Play')], className='timesliderline anim-buttons')"
@@ -23,7 +14,7 @@ def test_was_time_bar():
     assert  "Div(children=[Span(children=[DatePickerSingle(date='20220808', min_date_allowed=datetime.datetime(2012, 1, 20, 0, 0), max_date_allowed=datetime.datetime(2022, 8, 8, 0, 0), placeholder='DD MON YYYY', initial_visible_month=datetime.datetime(2022, 8, 8, 0, 0), display_format='DD MMM YYYY', id='was-date-picker'), Button(id='clear_button')], className='timesliderline'), Span(children=Slider(min=1, max=2, step=1, marks={1: {'label': 'TUE 09'}, 2: {'label': 'WED 10', 'style': {'left': '', 'right': '-40px'}}}, value=1, id='was-slider-graph'), id='was-slider-container', className='timesliderline')], className='timeslider')" in str(code.gen_time_bar('was', '20120120', '20220808'))
 
 def test_models_children():
-    assert  "[Div(id={'tag': 'tab-name', 'index': 'models'}), Alert(children='To explore the forecast, please select a variable and click on APPLY.', id='alert-forecast', color='primary', duration=6000, fade=True, is_open=True, style={'overflow': 'auto', 'marginBottom': 0}), Div(children=[Container(children=[], id='graph-collection', fluid=True), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer')], id='div-collection'), Div([Store(id='model-clicked-coords'), Store(id='current-popups-stored')]), Div(Interval(id='slider-interval', disabled=True, interval=1000, n_intervals=0))" in str(code.models_children('20120120', '20220808'))
+    assert  "[Div(id={'tag': 'tab-name', 'index': 'models'}), Alert(children='To explore the forecast, please select a variable and click on APPLY.', id='alert-forecast', color='primary', duration=6000, fade=True, is_open=True, style={'overflow': 'auto', 'marginBottom': 0}), Div(children=[Container(children=[], id='graph-collection', fluid=True), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='models-disclaimer')], className='disclaimer')], id='div-collection'), Div([Store(id='model-clicked-coords'), Store(id='current-popups-stored')]), Div(Interval(id='slider-interval', disabled=True, interval=1000, n_intervals=0))" in str(code.models_children('20120120', '20220808'))
 
 def test_alert_3day_update():
     assert str(code.alert_3day_update()) == "Toast(children=[P(children='3 day forecast available starting Apr 01 2023', className='mb1'), I(className='fa fa-solid fa-caret-down')], id='toast', dismissable=True, duration=10000, icon='warning')" 
@@ -33,7 +24,7 @@ def test_prob_children():
     assert code.prob_children('20120120', '20220808')[0].id == {'tag': 'tab-name', 'index': 'prob'}
     assert str(code.prob_children('20120120', '20220808')[1]) == "Div(id='prob-graph', className='graph-with-slider')"
     assert str(code.prob_children('20120120', '20220808')[2]) == "Toast(children=[P(children='3 day forecast available starting Apr 01 2023', className='mb1'), I(className='fa fa-solid fa-caret-down')], id='toast', dismissable=True, duration=10000, icon='warning')"
-    assert str(code.prob_children('20120120', '20220808')[3]) == "Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer')"
+    assert str(code.prob_children('20120120', '20220808')[3]) == "Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='models-disclaimer')], className='disclaimer')"
 
 def test_was_children():
     assert "Div(children=[Span(DropdownMenu(children=[DropdownMenuItem(children='Light', id={'tag': 'view-style', 'index': 'carto-positron'}, active=True), DropdownMenuItem(children='Open street map', id={'tag': 'view-style', 'index': 'open-street-map'}, active=False), DropdownMenuItem(children='Terrain', id={'tag': 'view-style', 'index': 'stamen-terrain'}, active=False), DropdownMenuItem(children='ESRI', id={'tag': 'view-style', 'index': 'esri-world'}, active=False)], id='map-view-dropdown', direction='up', in_navbar=True, label='VIEW'))], id='map-view-dropdown-div')], id='layout-dropdown', className='layout-dropdown')], className='fixed-bottom navbar-timebar', dark=True, expand='lg', fixed='bottom', fluid=True)]" in str(code.was_children('20120120', '20220808'))
@@ -65,10 +56,10 @@ def test_expand_dropdown():
 
 def test_sidebar_forecast():
     #TEST MODELS
-    assert  "[Div(children=[Label('Variable'), Dropdown(options=[{'label': 'AOD', 'value': 'OD550_DUST'}, {'label': 'Concentration', 'value': 'SCONC_DUST'}, {'label': 'Dry deposition', 'value': 'DUST_DEPD'}, {'label': 'Wet deposition', 'value': 'DUST_DEPW'}, {'label': 'Load', 'value': 'DUST_LOAD'}, {'label': 'Extinction', 'value': 'DUST_EXT_SFC'}], value=['OD550_DUST'], clearable=False, searchable=False, optionHeight=50, maxHeight=400, id='variable-dropdown-forecast')], className='sidebar-first-item'), Div(children=[Card([CardHeader(H2(Button(children=['Models', Span(children=I(className='fa fa-solid fa-angle-up'), id='caret1', className='caret-span')], id='group-1-toggle', className='dropdown', color='link'))), Collapse(children=[CardBody([Checklist(id='model-dropdown', className='sidebar-dropdown', options=[{'label': 'MULTI-MODEL', 'value': 'median'}, {'label': 'MONARCH', 'value': 'monarch'}, {'label': 'CAMS-IFS', 'value': 'cams'}, {'label': 'DREAM8-CAMS', 'value': 'dream8-macc'}, {'label': 'NASA-GEOS', 'value': 'nasa-geos'}, {'label': 'MetOffice-UM', 'value': 'metoffice'}, {'label': 'NCEP-GEFS', 'value': 'ncep-gefs'}, {'label': 'EMA-RegCM4', 'value': 'ema-regcm4'}" in str(code.sidebar_forecast(VARS, ['OD550_DUST'], MODELS, ['median'], window='models', country='burkinafaso'))
+    assert  "[Div(children=[Label('Variable'), Dropdown(options=[{'label': 'AOD', 'value': 'OD550_DUST'}, {'label': 'Concentration', 'value': 'SCONC_DUST'}, {'label': 'Dry deposition', 'value': 'DUST_DEPD'}, {'label': 'Wet deposition', 'value': 'DUST_DEPW'}, {'label': 'Load', 'value': 'DUST_LOAD'}, {'label': 'Extinction', 'value': 'DUST_EXT_SFC'}], value=['OD550_DUST'], clearable=False, searchable=False, optionHeight=50, maxHeight=400, id='variable-dropdown-forecast')], className='sidebar-first-item'), Div(children=[Card([CardHeader(H2(Button(children=['Models', Span(children=I(className='fa fa-solid fa-angle-up'), id={'type': 'caret', 'index': 1}, className='caret-span')], id='group-1-toggle', className='dropdown', color='link'))), Collapse(children=[CardBody([Checklist(id='model-dropdown', class_name='sidebar-dropdown', options=[{'label': 'MULTI-MODEL', 'value': 'median'}" in str(code.sidebar_forecast(VARS, ['OD550_DUST'], MODELS, ['median'], window='models', country='burkinafaso'))
 
     #TEST PROB
-    assert  "[Div(children=[Label('Variable'), Dropdown(options=[{'label': 'AOD', 'value': 'OD550_DUST'}, {'label': 'Concentration', 'value': 'SCONC_DUST'}, {'label': 'Dry deposition', 'value': 'DUST_DEPD'}, {'label': 'Wet deposition', 'value': 'DUST_DEPW'}, {'label': 'Load', 'value': 'DUST_LOAD'}, {'label': 'Extinction', 'value': 'DUST_EXT_SFC'}], value=['OD550_DUST'], clearable=False, searchable=False, optionHeight=50, maxHeight=400, id='variable-dropdown-forecast')], className='sidebar-first-item'), Div(children=[Card([CardHeader(H2(Button(children=['Models', Span(children=I(className='fa fa-solid fa-angle-up'), id='caret1', className='caret-span')], id='group-1-toggle', className='dropdown', color='link'))), Collapse(children=[CardBody([Checklist(id='model-dropdown', className='sidebar-dropdown', options=[{'label': 'MULTI-MODEL', 'value': 'median'}, {'label': 'MONARCH', 'value': 'monarch'}, {'label': 'CAMS-IFS', 'value': 'cams'}, {'label': 'DREAM8-CAMS', 'value': 'dream8-macc'}, {'label': 'NASA-GEOS', 'value': 'nasa-geos'}, {'label': 'MetOffice-UM', " in str(code.sidebar_forecast(VARS, ['OD550_DUST'], MODELS, ['median'], window='prob', country='burkinafaso'))
+    assert  "[Div(children=[Label('Variable'), Dropdown(options=[{'label': 'AOD', 'value': 'OD550_DUST'}, {'label': 'Concentration', 'value': 'SCONC_DUST'}, {'label': 'Dry deposition', 'value': 'DUST_DEPD'}, {'label': 'Wet deposition', 'value': 'DUST_DEPW'}, {'label': 'Load', 'value': 'DUST_LOAD'}, {'label': 'Extinction', 'value': 'DUST_EXT_SFC'}], value=['OD550_DUST'], clearable=False, searchable=False, optionHeight=50, maxHeight=400, id='variable-dropdown-forecast')], className='sidebar-first-item'), Div(children=[Card([CardHeader(H2(Button(children=['Models', Span(children=I(className='fa fa-solid fa-angle-up'), id={'type': 'caret', 'index': 1}, className='caret-span')], id='group-1-toggle', className='dropdown', color='link'))), Collapse(children=[CardBody([Checklist(id='model-dropdown', class_name='sidebar-dropdown', options=[{'label': 'MULTI-MODEL', 'value': 'median'}" in str(code.sidebar_forecast(VARS, ['OD550_DUST'], MODELS, ['median'], window='prob', country='burkinafaso'))
 
     #TEST WAS
-    assert  "[Div(children=[Label('Variable'), Dropdown(options=[{'label': 'AOD', 'value': 'OD550_DUST'}, {'label': 'Concentration', 'value': 'SCONC_DUST'}, {'label': 'Dry deposition', 'value': 'DUST_DEPD'}, {'label': 'Wet deposition', 'value': 'DUST_DEPW'}, {'label': 'Load', 'value': 'DUST_LOAD'}, {'label': 'Extinction', 'value': 'DUST_EXT_SFC'}], value=['OD550_DUST'], clearable=False, searchable=False, optionHeight=50, maxHeight=400, id='variable-dropdown-forecast')], className='sidebar-first-item'), Div(children=[Card([CardHeader(H2(Button(children=['Models', Span(children=I(className='fa fa-solid fa-angle-up'), id='caret1', className='caret-span')], id='group-1-toggle', className='dropdown', color='link'))), Collapse(children=[CardBody([Checklist(id='model-dropdown', className='sidebar-dropdown', options=[{'label': 'MULTI-MODEL', 'value': 'median'}, {'label': 'MONARCH', 'value': 'monarch'}, {'label': 'CAMS-IFS', 'value': 'cams'}, {'label': 'DREAM8-CAMS', 'value': 'dream8-macc'}, {'label': 'NASA-GEOS', 'value': 'nasa-geos'}, {'label': 'MetOffice-UM', 'value': 'metoffice'}, {'label': 'NCEP-GEFS', 'value': 'ncep-gefs'}, {'label': 'EMA-RegCM4', 'value': 'ema-regcm4'}, {'label': 'SILAM'," in str(code.sidebar_forecast(VARS, ['OD550_DUST'], MODELS, ['median'], window='was', country='chad'))
+    assert  "[Div(children=[Label('Variable'), Dropdown(options=[{'label': 'AOD', 'value': 'OD550_DUST'}, {'label': 'Concentration', 'value': 'SCONC_DUST'}, {'label': 'Dry deposition', 'value': 'DUST_DEPD'}, {'label': 'Wet deposition', 'value': 'DUST_DEPW'}, {'label': 'Load', 'value': 'DUST_LOAD'}, {'label': 'Extinction', 'value': 'DUST_EXT_SFC'}], value=['OD550_DUST'], clearable=False, searchable=False, optionHeight=50, maxHeight=400, id='variable-dropdown-forecast')], className='sidebar-first-item'), Div(children=[Card([CardHeader(H2(Button(children=['Models', Span(children=I(className='fa fa-solid fa-angle-up'), id={'type': 'caret', 'index': 1}, className='caret-span')], id='group-1-toggle', className='dropdown', color='link'))), Collapse(children=[CardBody([Checklist(id='model-dropdown', class_name='sidebar-dropdown', options=[{'label': 'MULTI-MODEL', 'value': 'median'}" in str(code.sidebar_forecast(VARS, ['OD550_DUST'], MODELS, ['median'], window='was', country='chad'))
diff --git a/tests/test_forecast_callbacks.py b/tests/test_forecast_callbacks.py
index bd60063332ac7fac713730de3d94179be68fcaf3..c56e9bf9da3f027b500848e2f13dc6a2c21c8044 100644
--- a/tests/test_forecast_callbacks.py
+++ b/tests/test_forecast_callbacks.py
@@ -5,7 +5,7 @@ import dash
 from dash._callback_context import context_value
 from dash._utils import AttributeDict
 code = importlib.import_module('tabs.forecast_callbacks')
-
+from map_handler import START_DATE
 
 
 # =======================START render forecast test ===========================
@@ -23,34 +23,76 @@ def test_render_forecast_tab_group_1():
     assert output[4] == dash.no_update
     assert output[5] == dash.no_update
 
+def test_render_forecast_tab_group_1_modopen_false():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "group-1-toggle.n_clicks"},{"prop_id": "group-2-toggle.n_clicks"},{"prop_id": "group-3-toggle.n_clicks"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "collapse-1.is_open"},{"prop_id": "collapse-2.is_open"},{"prop_id": "collapse-3.is_open"}]}))
+        return code.render_forecast_tab(1, 0, 0, 'SCONC_DUST', False, False, False ) 
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output[0] == True
+    assert output[1] == False
+    assert output[2] == False
+    assert output[3] == dash.no_update
+    assert output[4] == dash.no_update
+    assert output[5] == dash.no_update
+
 def test_render_forecast_tab_group_2():
     def run_callback():
         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "group-1-toggle.n_clicks"},{"prop_id": "group-2-toggle.n_clicks"},{"prop_id": "group-3-toggle.n_clicks"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "collapse-1.is_open"},{"prop_id": "collapse-2.is_open"},{"prop_id": "collapse-3.is_open"}]}))
-        return code.render_forecast_tab(0, 1, 0, 'SCONC_DUST', False, True, False ) 
+        return code.render_forecast_tab(0, 1, 0, 'SCONC_DUST', True, True, False ) 
 
     ctx = copy_context()
     output = ctx.run(run_callback)
-    assert output[0] == False
+    assert output[0] == True
     assert output[1] == True
     assert output[2] == False
     assert output[3] == False
     assert output[4] == False
     assert output[5] == dash.no_update
 
-def test_render_forecast_tab_group_3():
+def test_render_forecast_tab_group_2_probopen_false():
     def run_callback():
         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "group-1-toggle.n_clicks"},{"prop_id": "group-2-toggle.n_clicks"},{"prop_id": "group-3-toggle.n_clicks"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "collapse-1.is_open"},{"prop_id": "collapse-2.is_open"},{"prop_id": "collapse-3.is_open"}]}))
-        return code.render_forecast_tab(0,0,1, 'SCONC_DUST', False, False, True ) 
+        return code.render_forecast_tab(0, 1, 0, 'SCONC_DUST', False, False, False ) 
 
     ctx = copy_context()
     output = ctx.run(run_callback)
     assert output[0] == False
     assert output[1] == False
+    assert output[2] == False
+    assert output[3] == False
+    assert output[4] == False
+    assert output[5] == dash.no_update
+
+def test_render_forecast_tab_group_3():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "group-1-toggle.n_clicks"},{"prop_id": "group-2-toggle.n_clicks"},{"prop_id": "group-3-toggle.n_clicks"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "collapse-1.is_open"},{"prop_id": "collapse-2.is_open"},{"prop_id": "collapse-3.is_open"}]}))
+        return code.render_forecast_tab(0,0,1, 'SCONC_DUST', True, False, True ) 
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output[0] == True
+    assert output[1] == False
     assert output[2] == True
     assert output[3] == False
     assert output[4] == False
     assert output[5] == dash.no_update
 
+def test_render_forecast_tab_group_3_wasopen_false():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "group-1-toggle.n_clicks"},{"prop_id": "group-2-toggle.n_clicks"},{"prop_id": "group-3-toggle.n_clicks"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "collapse-1.is_open"},{"prop_id": "collapse-2.is_open"},{"prop_id": "collapse-3.is_open"}]}))
+        return code.render_forecast_tab(0,0,1, 'SCONC_DUST', False, False, False ) 
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output[0] == False
+    assert output[1] == False
+    assert output[2] == False
+    assert output[3] == False
+    assert output[4] == False
+    assert output[5] == dash.no_update
+
 def test_render_forecast_tab_SCONC_DUST():
     def run_callback():
         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "group-1-toggle.n_clicks"},{"prop_id": "group-2-toggle.n_clicks"},{"prop_id": "group-3-toggle.n_clicks"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "collapse-1.is_open"},{"prop_id": "collapse-2.is_open"},{"prop_id": "collapse-3.is_open"}]}))
@@ -94,22 +136,6 @@ def test_update_models_dropdown():
     assert str(code.update_models_dropdown('OD550_DUST', ['median', 'monarch'])) == "([{'label': 'MULTI-MODEL', 'value': 'median', 'disabled': False}, {'label': 'MONARCH', 'value': 'monarch', 'disabled': False}, {'label': 'CAMS-IFS', 'value': 'cams', 'disabled': False}, {'label': 'DREAM8-CAMS', 'value': 'dream8-macc', 'disabled': False}, {'label': 'NASA-GEOS', 'value': 'nasa-geos', 'disabled': False}, {'label': 'MetOffice-UM', 'value': 'metoffice', 'disabled': False}, {'label': 'NCEP-GEFS', 'value': 'ncep-gefs', 'disabled': False}, {'label': 'EMA-RegCM4', 'value': 'ema-regcm4', 'disabled': False}, {'label': 'SILAM', 'value': 'silam', 'disabled': False}, {'label': 'LOTOS-EUROS', 'value': 'lotos-euros', 'disabled': False}, {'label': 'ICON-ART', 'value': 'icon-art', 'disabled': False}, {'label': 'NOA-WRF-CHEM', 'value': 'noa', 'disabled': False}, {'label': 'WRF-NEMO', 'value': 'wrf-nemo', 'disabled': False}, {'label': 'ALADIN', 'value': 'aladin', 'disabled': False}, {'label': 'ZAMG-WRF-CHEM', 'value': 'zamg', 'disabled': False}, {'label': 'MOCAGE', 'value': 'mocage', 'disabled': False}], ['median', 'monarch'], {'display': 'none'})"
 
     assert str(code.update_models_dropdown('SCONC_DUST', ['cams', 'silam'])) == "([{'label': 'MULTI-MODEL', 'value': 'median', 'disabled': False}, {'label': 'MONARCH', 'value': 'monarch', 'disabled': False}, {'label': 'CAMS-IFS', 'value': 'cams', 'disabled': False}, {'label': 'DREAM8-CAMS', 'value': 'dream8-macc', 'disabled': False}, {'label': 'NASA-GEOS', 'value': 'nasa-geos', 'disabled': False}, {'label': 'MetOffice-UM', 'value': 'metoffice', 'disabled': False}, {'label': 'NCEP-GEFS', 'value': 'ncep-gefs', 'disabled': False}, {'label': 'EMA-RegCM4', 'value': 'ema-regcm4', 'disabled': False}, {'label': 'SILAM', 'value': 'silam', 'disabled': False}, {'label': 'LOTOS-EUROS', 'value': 'lotos-euros', 'disabled': False}, {'label': 'ICON-ART', 'value': 'icon-art', 'disabled': False}, {'label': 'NOA-WRF-CHEM', 'value': 'noa', 'disabled': False}, {'label': 'WRF-NEMO', 'value': 'wrf-nemo', 'disabled': False}, {'label': 'ALADIN', 'value': 'aladin', 'disabled': False}, {'label': 'ZAMG-WRF-CHEM', 'value': 'zamg', 'disabled': False}, {'label': 'MOCAGE', 'value': 'mocage', 'disabled': False}], ['cams', 'silam'], {'display': 'none'})"
-# =======================END update_models_dropdown test ===========================
-
-
-# =======================START CARET TESTS ===========================
-def test_rotate_models_caret():
-    assert code.rotate_models_caret(True) == None
-    assert code.rotate_models_caret(False) == {'top': '.05rem', 'transform': 'rotate(180deg)', '-ms-transform': 'rotate(180deg)', '-webkit-transform': 'rotate(180deg)'}
-
-def test_rotate_prob_caret():
-    assert code.rotate_prob_caret(False) == None
-    assert code.rotate_prob_caret(True) == {'transform': 'rotate(0deg)', '-ms-transform': 'rotate(0deg)', '-webkit-transform': 'rotate(0deg)'}
-
-def test_rotate_was_caret():
-    assert code.rotate_was_caret(False) == None
-    assert code.rotate_was_caret(True) == {'transform': 'rotate(0deg)', '-ms-transform': 'rotate(0deg)', '-webkit-transform': 'rotate(0deg)'}
-# =======================END CARET TESTS ===========================
 
 # =======================START SIDEBAR_BOTTOM TESTS ===========================
 def test_sidebar_bottom_info():
@@ -142,7 +168,7 @@ def test_sidebar_bottom_download_clicked():
 def test_sidebar_bottom_download_clicked2():
     def run_callback():
         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "info-button.n_clicks"},{"prop_id": "download-button.n_clicks"},{"prop_id": "info-collapse.is_open"},{"prop_id": "download_collapse.is_open"}]}))
-        return code.sidebar_bottom(0,1,False,False) 
+        return code.sidebar_bottom(0,1,False,True) 
 
     ctx = copy_context()
     output = ctx.run(run_callback)
@@ -156,41 +182,73 @@ def test_download_anim_link():
     assert code.download_anim_link(['median','monarch'], 'SCONC_DUST', '20220831', 3) ==  'assets/comparison/all/sconc_dust/2022/08/20220831_all_loop.gif'
     assert code.download_anim_link(['monarch'], 'OD550_DUST', '20220831', 3) ==  'assets/comparison/monarch/od550_dust/2022/08/20220831_monarch_loop.gif'
     assert code.download_anim_link(['median','monarch'], 'OD550_DUST', '20220831', 3) ==  'assets/comparison/all/od550_dust/2022/08/20220831_all_loop.gif'
-# =======================END DOWNLOAD_ANIM_LINK TESTS===========================
 
+# =======================TEST ZOOM COUNTRY===========================
 def test_zoom_country():
     assert code.zoom_country(1, ['monarch'], 2, 45, 35) == ([2.0], [[45.0, 35.0]])
     assert code.zoom_country(1, ['median', 'monarch'], 2, 45, 35) == ([2.0, 2.0], [[45.0, 35.0], [45.0, 35.0]])
 
-# def test_zooms():
+# =======================TEST ZOOMS===========================
+def test_zooms():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{'prop_id': '{"index":"median","n_clicks":1,"tag":"model-map"}.viewport', 'value': {'center': [31.89971219631015, 19.511718750000004], 'zoom': 5}}]}))
+        return code.zooms([{'center': [31.89971219631015, 19.511718750000004], 'zoom': 5}],[{'tag': 'model-map', 'index': 'median', 'n_clicks': 1}]) 
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output == (1, 5, 31.89971219631015, 19.511718750000004)
+
+def test_zooms_multi():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{'prop_id': '{"index":"median","n_clicks":1,"tag":"model-map"}.viewport', 'value': {'center': [43.25, 19], 'zoom': 4}}]}))
+        return code.zooms([{'center': [43.25, 19], 'zoom': 4}, None],[{'tag': 'model-map', 'index': 'median', 'n_clicks': 1}, {'tag': 'model-map', 'index': 'monarch', 'n_clicks': 1}]) 
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output == (1, 4, 43.25, 19)
+
+# =======================TEST UPDATE STYLES BUTTON===========================
+def test_update_styles_button():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{'prop_id': '{"index":"open-street-map","tag":"view-style"}.n_clicks', 'value': 1}]}))
+        return code.update_styles_button.uncached([None, 1, None, None], ['https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'], [], [], [True, False, False, False]) 
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output == (['https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png'], ["&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors"], [], [], [], [], [False, True, False, False])
+
+
+def test_models_popup():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": '{"tag":"model-map", "index":"median","n_clicks":1}.click_lat_lng'}]}))
+        return code.models_popup([[56.739260373724775, 91.93359375]],[], [], '20230404', 0, 'OD550_DUST', None, {}) 
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output[0] == {}
+    assert output[1] == {}
+    # ASSERT OUTPUT[2] == RETURNS DASH.NO_UPDATE
+
+# def test_update_styles_button_from_open_streets():
+# ORJSON ERROR and INPUT IS EXTREMELY LONG
+# def test_models_popup():
 #     def run_callback():
-#         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "{'tag': 'model-map', 'index': 'median', 'n_clicks': 0}"},{"prop_id": "{'tag': 'model-map', 'index': 'median', 'n_clicks': 0}"}]}))
+#         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "{'tag': 'model-map', 'index': 'median'}.n_clicks"},{"prop_id": "{'tag': 'model-map', 'index': 'median'}.n_clicks"}]}))
 #         return code.zooms([None, None],[{'tag': 'model-map', 'index': 'median', 'n_clicks': 0}, {'tag': 'model-map', 'index': 'monarch', 'n_clicks': 1}]) 
 #     ctx = copy_context()
 #     output = ctx.run(run_callback)
 #     assert output == (True, False)
 #
 #
-# ORJSON ERROR
-# def test_update_was_styles_button():
-#     def run_callback():
-#         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "view-style.n_clicks"},{"prop_id": "was-tile-layer.url"},{"prop_id": "view-style.active"}]}))
-#         return code.update_was_styles_button.uncached([None, None, 1, None], ['https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'], [True, False, False, False]) 
-#
-#     ctx = copy_context()
-#     output = ctx.run(run_callback)
-#     assert output == (True, False)
 
-# ORJSON ERROR
-# def test_models_popup():
+# =======================Start show_timeseries===========================
+#SHOULD RETURN 3 ITEMS, CURRENTLY ONLY RETURNING NONE
+# def test_show_timeseries():
 #     def run_callback():
-#         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "model-map.click_lat_lng"},{"prop_id": "model-map.id"},{"prop_id": "model-map.children"},{"prop_id": "model-date-picker.date"},{"prop_id": "slider-graph.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "model-clicked-coords.data"},{"prop_id": "current-popups-stored.data"}]}))
-#         return code.models_popup([[56.739260373724775, 91.93359375]], [], [], '20230404', 0, 'OD550_DUST', None, None) 
+#         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id":'{"index":"median","random":66,"tag":"ts-button"}.n_clicks', 'value': 1}]}))
+#         assert code.show_timeseries.uncached([1], ['median'], '20230430', 'OD550_DUST', {'median': [28.272939391283685, 23.027343750000004]}, {'median': 1})
 #
 #     ctx = copy_context()
 #     output = ctx.run(run_callback)
-#     assert output == (True, False)
-
+#     assert output == None
 
 # =======================Start start_stop_autoslider tests===========================
 def test_start_stop_autoslider_pause():
@@ -223,47 +281,74 @@ def test_update_slider():
     assert code.update_slider.uncached(72) == 0
 # =======================END update_slider tests===========================
 
-# =======================START UPDATE WAS FIGURE TESTS===========================
-def test_update_was_figure():
+# =======================START UPDATE MODEL FIGURE TESTS===========================
+def test_update_model_figure():
     def run_callback():
-        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "was-apply.n_clicks"},{"prop_id": "was-date-picker.date"},{"prop_id": "was-slider-graph.value"},{"prop_id": "was-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "was-previous.data"},{"prop_id": "view-style.active"},{"prop_id": "was-map.zoom"},{"prop_id": "was-map.center"}]}))
-        return code.update_was_figure(1, '20230404', 1, 'burkinafaso', None, [True, False, False, False], [True], [], []) 
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "models-apply.n_clicks"},{"prop_id": "model-date-picker.date"},{"prop_id": "model-slider-graph.value"},{"prop_id": "model-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "view-style.active"},{"prop_id": "model-map.zoom"},{"prop_id": "model-map.center"}]}))
+        return code.update_models_figure.uncached(1, 1,  '20230404', ['monarch'], None, [True, False, False, False], [], []) 
 
     ctx = copy_context()
     output = ctx.run(run_callback)
-    assert "url='https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'), FullscreenControl(position='topright'), None, None, None, GeoJSON(hideout={'colorscale': ['green', 'gold', 'darkorange', 'red'], 'bounds': [0, 1, 2, 3], 'style': {'weight': 1, 'opacity': 1, 'color': 'white', 'dashArray': '3', 'fillOpacity': 0.7}, 'colorProp': 'value'}, hoverStyle={'arrow': {'weight': 2, 'color': 'white', 'dashArray': '', 'fillOpacity': 0.7}}, options={'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}, url='/dashboard/assets/geojsons/was/burkinafaso/geojson/20230404/20230404_SCONC_DUST_1.geojson'), Div(children=[Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'green'}), Span(children='Normal', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'gold'}), Span(children='High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'darkorange'}), Span(children='Very High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'red'}), Span(children='Extremely High', className='was-legend-label')], style={'display': 'block'})], className='was-legend'), Div(children=P(B(['Barcelona Dust Regional Center - Burkina Faso WAS.', Br(None), 'Expected concentration of airborne dust.', Br(None), 'Issued: 04 Apr 2023. Valid: 05 Apr 2023'])), id='was-info', className='info', style={'position': 'absolute', 'top': '10px', 'left': '10px', 'zIndex': '1000', 'fontFamily': " in str(output)
+    assert "Div(children=P(B(['MONARCH Dust Optical Depth (550nm)', Br(None), 'Valid: 00h 04 Apr 2023 (H+12)'])), id='monarch-info', className='info', style={'position': 'absolute', 'top': '10px', 'left': '10px', 'zIndex': '1000', 'fontFamily':" in str(output) 
+    assert "(position='topright'), GeoJSON(hideout={'colorscale': ['rgba(255,255,255,0.4)', '#a1ede3', '#5ce3ba', '#fcd775', '#da7230', '#9e6226', '#714921', '#392511', '#1d1309'], 'bounds': array([ 0. ,  0.1,  0.2,  0.4,  0.8,  1.2,  1.6,  3.2,  6.4, 10. ],\n      dtype=float32), 'style': {'weight': 0, 'opacity': 0, 'color': 'white', 'dashArray': '', 'fillOpacity': 0.7}, 'colorProp': 'value'}, options={'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}, url='/dashboard/assets/geojsons/NMMB-BSC/geojson/20230403/04_20230403_OD550_DUST.geojson')" in str(output)
 
-def test_update_was_figure_zooms():
+# =======================START UPDATE PROB FIGURE TESTS===========================
+def test_update_prob_figure():
     def run_callback():
-        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "was-apply.n_clicks"},{"prop_id": "was-date-picker.date"},{"prop_id": "was-slider-graph.value"},{"prop_id": "was-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "was-previous.data"},{"prop_id": "view-style.active"},{"prop_id": "was-map.zoom"},{"prop_id": "was-map.center"}]}))
-        return code.update_was_figure(2, '20230404', 1, 'cabo_verde', 'burkinafaso', [True, False, False, False],[True], [8], [[11.982397942974229, -2.6312255859375004]]) 
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "prob-apply.n_clicks"},{"prop_id": "prob-date-picker.date"},{"prop_id": "prob-slider-graph.value"},{"prop_id": "prob-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "view-style.active"},{"prop_id": "prob-map.zoom"},{"prop_id": "prob-map.center"}]}))
+        return code.update_prob_figure.uncached(1, '20230404', 1, 'prob_0.2', None, [True], [], []) 
 
     ctx = copy_context()
     output = ctx.run(run_callback)
-    assert "url='https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'), FullscreenControl(position='topright'), None, None, None, GeoJSON(hideout={'colorscale': ['green', 'gold', 'darkorange', 'red'], 'bounds': [0, 1, 2, 3], 'style': {'weight': 1, 'opacity': 1, 'color': 'white', 'dashArray': '3', 'fillOpacity': 0.7}, 'colorProp': 'value'}, hoverStyle={'arrow': {'weight': 2, 'color': 'white', 'dashArray': '', 'fillOpacity': 0.7}}, options={'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}, url='/dashboard/assets/geojsons/was/cabo_verde/geojson/20230404/20230404_SCONC_DUST_1.geojson'), Div(children=[Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'green'}), Span(children='Normal', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'gold'}), Span(children='High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'darkorange'}), Span(children='Very High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'red'}), Span(children='Extremely High', className='was-legend-label')], style={'display': 'block'})], className='was-legend'), Div(children=P(B(['Barcelona Dust Regional Center - Cape Verde WAS.', Br(None), 'Expected concentration of airborne dust.', Br(None), 'Issued: 04 Apr 2023. Valid: 05 Apr 2023'])), id='was-info', className='info', style={'position': 'absolute', 'top': '10px', 'left': '10px', 'zIndex': '1000', 'fontFamily':" in str(output)
-# =======================END UPDATE WAS FIGURE TESTS===========================
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+    assert output.children[0].id == {'tag': 'prob-tile-layer', 'index': 'None'}
+    assert output.children[0].attribution == "&copy; <a href='https://www.openstreetmap.org/copyright'>OpenStreetMap</a> contributors &copy; <a href='https://carto.com/attributions'>CARTO</a>"
+    assert output.children[0].url == 'https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'
+    assert output.children[1].position == 'topright'
+    assert output.children[2].url == '/dashboard/assets/geojsons/prob/od550_dust/0.2/geojson/20230404/01_20230404_OD550_DUST.geojson'
 
+def test_update_prob_figure_1():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "prob-apply.n_clicks"},{"prop_id": "prob-date-picker.date"},{"prop_id": "prob-slider-graph.value"},{"prop_id": "prob-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "view-style.active"},{"prop_id": "prob-map.zoom"},{"prop_id": "prob-map.center"}]}))
+        return code.update_prob_figure.uncached(1, '20230404', 1, None, None, [True], [], []) 
 
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output.children[2].url == '/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/20230404/01_20230404_OD550_DUST.geojson'
 
+def test_update_prob_figure_zoom():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "prob-apply.n_clicks"},{"prop_id": "prob-date-picker.date"},{"prop_id": "prob-slider-graph.value"},{"prop_id": "prob-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "view-style.active"},{"prop_id": "prob-map.zoom"},{"prop_id": "prob-map.center"}]}))
+        return code.update_prob_figure.uncached(1, '20230404', 1, None, None, [True], [5], []) 
 
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert 'zoom=5' in str(output)
 
+def test_update_prob_figure_center():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "prob-apply.n_clicks"},{"prop_id": "prob-date-picker.date"},{"prop_id": "prob-slider-graph.value"},{"prop_id": "prob-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "view-style.active"},{"prop_id": "prob-map.zoom"},{"prop_id": "prob-map.center"}]}))
+        return code.update_prob_figure.uncached(1, '20230404', 1, None, None, [True], [], [34, 45]) 
 
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert 'center=34' in str(output)
 
+# =======================START UPDATE WAS FIGURE TESTS===========================
+def test_update_was_figure():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "was-apply.n_clicks"},{"prop_id": "was-date-picker.date"},{"prop_id": "was-slider-graph.value"},{"prop_id": "was-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "was-previous.data"},{"prop_id": "view-style.active"},{"prop_id": "was-map.zoom"},{"prop_id": "was-map.center"}]}))
+        return code.update_was_figure(1, '20230404', 1, 'burkinafaso', None, [True, False, False, False], [True], [], []) 
 
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert "url='https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'), FullscreenControl(position='topright'), GeoJSON(hideout={'colorscale': ['green', 'gold', 'darkorange', 'red'], 'bounds': [0, 1, 2, 3], 'style': {'weight': 1, 'opacity': 1, 'color': 'white', 'dashArray': '3', 'fillOpacity': 0.7}, 'colorProp': 'value'}, hoverStyle={'arrow': {'weight': 2, 'color': 'white', 'dashArray': '', 'fillOpacity': 0.7}}, options={'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}, url='/dashboard/assets/geojsons/was/burkinafaso/geojson/20230404/20230404_SCONC_DUST_1.geojson'), Div(children=[Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'green'}), Span(children='Normal', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'gold'}), Span(children='High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'darkorange'}), Span(children='Very High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'red'}), Span(children='Extremely High', className='was-legend-label')], style={'display': 'block'})], className='was-legend'), Div(children=P(B(['Barcelona Dust Regional Center - Burkina Faso WAS.', Br(None), 'Expected concentration of airborne dust.', Br(None), 'Issued: 04 Apr 2023. Valid: 05 Apr 2023']" in str(output)
 
+def test_update_was_figure_zooms():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "was-apply.n_clicks"},{"prop_id": "was-date-picker.date"},{"prop_id": "was-slider-graph.value"},{"prop_id": "was-dropdown.value"},{"prop_id": "variable-dropdown-forecast.value"},{"prop_id": "was-previous.data"},{"prop_id": "view-style.active"},{"prop_id": "was-map.zoom"},{"prop_id": "was-map.center"}]}))
+        return code.update_was_figure(2, '20230404', 1, 'cabo_verde', 'burkinafaso', [True, False, False, False],[True], [8], [[11.982397942974229, -2.6312255859375004]]) 
 
-#some comment
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert "url='https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png'), FullscreenControl(position='topright'), GeoJSON(hideout={'colorscale': ['green', 'gold', 'darkorange', 'red'], 'bounds': [0, 1, 2, 3], 'style': {'weight': 1, 'opacity': 1, 'color': 'white', 'dashArray': '3', 'fillOpacity': 0.7}, 'colorProp': 'value'}, hoverStyle={'arrow': {'weight': 2, 'color': 'white', 'dashArray': '', 'fillOpacity': 0.7}}, options={'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}, url='/dashboard/assets/geojsons/was/cabo_verde/geojson/20230404/20230404_SCONC_DUST_1.geojson'), Div(children=[Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'green'}), Span(children='Normal', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'gold'}), Span(children='High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'darkorange'}), Span(children='Very High', className='was-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='was-legend-point', style={'backgroundColor': 'red'}), Span(children='Extremely High', className='was-legend-label')], style={'display': 'block'})], className='was-legend'), Div(children=P(B(['Barcelona Dust Regional Center - Cape Verde WAS.', Br(None), 'Expected concentration of airborne dust.', Br(None), 'Issued: 04 Apr 2023. Valid: 05 Apr 2023'])), id='was-info', className='info', style={'position': 'absolute', 'top': '10px', 'left': '10px', 'zIndex': '1000', 'fontFamily':" in str(output)
+# =======================END UPDATE WAS FIGURE TESTS===========================
diff --git a/tests/test_generic.py b/tests/test_generic.py
new file mode 100644
index 0000000000000000000000000000000000000000..c61db66e3d44a7a914c4a3b1ba5e5ba48d8fc975
--- /dev/null
+++ b/tests/test_generic.py
@@ -0,0 +1,20 @@
+import pytest
+import importlib
+code = importlib.import_module('tabs.generic')
+
+#=============================== START LAYOUT LAYERS ========================
+def test_layout_layers_single_input():
+    assert  "Div([Span(DropdownMenu(children=[DropdownMenuItem(children='AIRPORTS', id='airports')], id='map-layers-dropdown', direction='up', label='LAYERS'))])" in str(code.layout_layers('airports'))
+
+def test_layout_layers_double_input():
+    assert  "Div([Span(DropdownMenu(children=[DropdownMenuItem(children='AIRPORTS', id='airports'), DropdownMenuItem(children='SECOND_LAYER', id='second_layer')], id='map-layers-dropdown', direction='up', label='LAYERS'))])" in str(code.layout_layers('airports', 'second_layer'))
+
+#=============================== START TIME SERIES ========================
+def test_time_series():
+    assert  "Div(children=[Spinner(children=[Modal(children=[], id='ts-modal', centered=True, is_open=False, size='xl')], id='loading-ts-modal', fullscreen=True, fullscreen_style={'opacity': '0.5', 'zIndex': '200000'}, show_initially=False)], id='open-timeseries')" in str(code.time_series())
+
+#=============================== START LAYOUT VIEW ========================
+def test_layout_view():
+    assert  "Div(children=[Span(DropdownMenu(children=[DropdownMenuItem(children='Light', id={'tag': 'view-style', 'index': 'carto-positron'}, active=True), DropdownMenuItem(children='Open street map', id={'tag': 'view-style', 'index': 'open-street-map'}, active=False), DropdownMenuItem(children='Terrain', id={'tag': 'view-style', 'index': 'stamen-terrain'}, active=False), DropdownMenuItem(children='ESRI', id={'tag': 'view-style', 'index': 'esri-world'}, active=False)], id='map-view-dropdown', direction='up', in_navbar=True, label='VIEW'))], id='map-view-dropdown-div')" in str(code.layout_view())
+
+
diff --git a/tests/test_generic_callbacks.py b/tests/test_generic_callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..9522f45d610ce048e0410a92e984b61de22d4e21
--- /dev/null
+++ b/tests/test_generic_callbacks.py
@@ -0,0 +1,10 @@
+import pytest
+import importlib
+code = importlib.import_module('tabs.generic_callbacks')
+
+# =======================START CARET TESTS ===========================
+def test_rotate_section_caret():
+    assert code.rotate_section_caret(True) == {'-ms-transform': 'rotate(0deg)', '-webkit-transform': 'rotate(0deg)', 'transform': 'rotate(0deg)'}
+    assert code.rotate_section_caret(False) == {'transform': 'rotate(180deg)', '-ms-transform': 'rotate(180deg)', '-webkit-transform': 'rotate(180deg)'}
+
+# =======================END CARET TESTS ===========================
diff --git a/tests/test_ines_core_map_handler.py b/tests/test_ines_core_map_handler.py
new file mode 100644
index 0000000000000000000000000000000000000000..8989da9415c02e69144cc9a3f125e324b4738c93
--- /dev/null
+++ b/tests/test_ines_core_map_handler.py
@@ -0,0 +1,56 @@
+import pytest
+from datetime import datetime
+from datetime import timedelta
+import importlib
+code = importlib.import_module('ines_core_map_handler')
+from map_handler import END_DATE
+from map_handler import FREQ
+
+FMT_ISO = "%Y%m%d"
+FMT_DASH = "%Y-%m-%d"
+FMT_MON = "%d %b %Y"
+FMT_MON_HR = f"%Hh {FMT_MON}"
+FMT_HR = "%H:%M:%S"
+FMT_DASH_HR = f"{FMT_DASH} {FMT_HR}"
+EDATE_OBJ = datetime.strptime(END_DATE, FMT_ISO)
+
+# =================== FIGURE HANDLER ============================
+@pytest.fixture
+def MapHandler():
+    MapHandler = code.MapHandler()
+    MapHandler.rdatetime = datetime.strptime("2023-04-30 00:00:00", "%Y-%m-%d %H:%M:%S")
+    MapHandler.what = 'hours'
+    MapHandler.timesteps = [0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 
+                            57, 60, 63, 66, 69, 72]
+    return MapHandler
+
+def test_get_center(MapHandler):
+    assert MapHandler.get_center([35,45]) == [35, 45]
+    assert MapHandler.get_center([-35,-45]) == [-35, -45]
+
+def test_retrieve_cdatetime(MapHandler):
+    assert str(MapHandler.retrieve_cdatetime(tstep=0)) == EDATE_OBJ.strftime(FMT_DASH_HR)  # '2023-04-30 12:00:00'
+    assert str(MapHandler.retrieve_cdatetime(tstep=6)) == (EDATE_OBJ + timedelta(hours=6*FREQ)).strftime(FMT_DASH_HR)  # '2023-05-01 06:00:00'
+    assert str(MapHandler.retrieve_cdatetime(tstep=12)) == (EDATE_OBJ + timedelta(hours=12*FREQ)).strftime(FMT_DASH_HR)  # '2022-05-02 00:00:00'
+
+def test_get_title(MapHandler):
+
+    model_name = "MULTI-MODEL"
+
+    MapHandler.step = "{:02d}".format(0)
+    MapHandler.cdatetime = MapHandler.retrieve_cdatetime(tstep=0)
+    var_title = "Dust Optical Depth (550nm)<br>Valid: %(shour)sh %(sday)s %(smonth)s %(syear)s (H+%(step)s)"
+    MapHandler.base_title = " ".join([model_name, var_title])
+    assert MapHandler.get_title(varname='OD550_DUST', tstep=0) == 'MULTI-MODEL Dust Optical Depth (550nm)<br>Valid: {edate} (H+00)'.format(edate=EDATE_OBJ.strftime(FMT_MON_HR))
+    
+    MapHandler.step = "{:02d}".format(9*FREQ)
+    MapHandler.cdatetime = MapHandler.retrieve_cdatetime(tstep=9)
+    var_title = "Dust Surface Conc. (µg/m³)<br>Valid: %(shour)sh %(sday)s %(smonth)s %(syear)s (H+%(step)s)"
+    MapHandler.base_title = " ".join([model_name, var_title])
+    assert MapHandler.get_title(varname='SCONC_DUST', tstep=9) == 'MULTI-MODEL Dust Surface Conc. (µg/m³)<br>Valid: {edate} (H+27)'.format(edate=(EDATE_OBJ + timedelta(hours=9*FREQ)).strftime(FMT_MON_HR))
+
+def test_hour_to_tstep(MapHandler):
+    assert MapHandler.hour_to_tstep(0) == 0
+    assert MapHandler.hour_to_tstep(3) == int(3/FREQ)
+    assert MapHandler.hour_to_tstep(6) == int(6/FREQ)
+    assert MapHandler.hour_to_tstep(36) == int(36/FREQ)
diff --git a/tests/test_utils.py b/tests/test_ines_core_utils.py
similarity index 65%
rename from tests/test_utils.py
rename to tests/test_ines_core_utils.py
index 7e430e9dbd84802c902fb06df772bf8371ea0e53..c351cec9a8ceab90bc62545c9d27bfd082db6019 100644
--- a/tests/test_utils.py
+++ b/tests/test_ines_core_utils.py
@@ -1,11 +1,12 @@
 import pytest
+from unittest.mock import MagicMock, patch
 from datetime import datetime
 from datetime import timedelta
 import importlib
-code = importlib.import_module('utils')
+code = importlib.import_module('ines_core_utils')
 import numpy as np
-from data_handler import END_DATE
-from data_handler import FREQ
+from map_handler import END_DATE
+from map_handler import FREQ
 
 FMT_ISO = "%Y%m%d"
 FMT_DASH = "%Y-%m-%d"
@@ -101,14 +102,25 @@ def test_normalize_vals():
     n_bounds = code.normalize_vals(bounds, bounds[0], bounds[-1], magn)
     assert np.array_equiv(n_bounds, np.array(result).astype('float32'))
 
-def test_get_colorscale():
-    bounds1 = [-0.1, -0.08, -0.06, -0.04, -0.02, 0., 0.02, 0.04, 0.06, 0.08, 0.1]
-    bounds2 = [0., 0.2, 0.4, 0.6, 0.8, 1., 1.2, 1.4, 1.6, 1.8, 2.]
-    color1 = 'viridis'
-    color2 = 'RdBu_r'
-    assert code.get_colorscale(bounds1, color1, True)[0] == [0.0, 'rgba(68, 1, 84, 255)']
-    assert code.get_colorscale(bounds2, color2, True)[0] == [0.0, 'rgba(5, 48, 97, 255)']
-
-def test_get_vis_edate():
-    assert code.get_vis_edate(END_DATE, hour=9) == (END_DATE, 0)
-    assert code.get_vis_edate(END_DATE, hour=16) == (END_DATE, 6)
+def test_get_404_link_prod(monkeypatch):
+    """ Test the production url"""
+    # Mocking PATHNAME for testing
+    mock_pathname = "/daily_dashboard/"  # Set your desired value for testing
+    # Assign the mocked value to PATHNAME
+    monkeypatch.setattr("ines_core_utils.PATHNAME", mock_pathname)
+    assert code.get_404_link('forecast') == 'https://dust.aemet.es/products/daily-dust-products/?tab=forecast'
+    assert code.get_404_link('evaluation') == 'https://dust.aemet.es/products/daily-dust-products/?tab=evaluation'
+    assert code.get_404_link('observations') == 'https://dust.aemet.es/products/daily-dust-products/?tab=observations'
+
+def test_get_404_link_dev():
+    """ Test the dev url"""
+    assert code.get_404_link('forecast') == ('/dashboard//?tab=forecast',)
+    assert code.get_404_link('evaluation') == ('/dashboard//?tab=evaluation',)
+    assert code.get_404_link('observations') == ('/dashboard//?tab=observations',)
+
+def test_render404():
+    assert "Div(children=[Div(children=[H2(children='404 Error', id='error_title')" in str(code.render404()[0])
+    assert "P('Here are some links that might help:'), Link(children='Forecast', href=('/dashboard//?tab=forecast',), target='_parent', refresh=True, className='error_links', id='forecast_link'), Br(None), Br(None), Link(children='Evaluation', href=('/dashboard//?tab=evaluation',), target='_parent', refresh=True, className='error_links', id='evaluation_link'), Br(None), Br(None), Link(children='Observations', href=('/dashboard//?tab=observations',), target='_parent', refresh=True, className='error_links', id='observations_link')], id='error_div')], className='background')" in str(code.render404()[0])
+
+def test_extend_list():
+    assert code.extend_list([[1],[2],[3]]) == [1,2,3]
diff --git a/tests/test_map_handler.py b/tests/test_map_handler.py
new file mode 100644
index 0000000000000000000000000000000000000000..dea4bff74e88bf340a62b678ccca9715e87a599c
--- /dev/null
+++ b/tests/test_map_handler.py
@@ -0,0 +1,173 @@
+import pytest
+from datetime import datetime
+from datetime import timedelta
+import importlib
+map_handler = importlib.import_module('map_handler')
+timeseries_handler = importlib.import_module('timeseries_handler')
+from map_handler import END_DATE
+from map_handler import FREQ
+
+FMT_ISO = "%Y%m%d"
+FMT_DASH = "%Y-%m-%d"
+FMT_MON = "%d %b %Y"
+EDATE_OBJ = datetime.strptime(END_DATE, FMT_ISO)
+EDATE_PREV = (datetime.strptime(END_DATE, FMT_ISO) - timedelta(days=7)).strftime(FMT_ISO)
+
+# =================== AERONET OBSERVATIONS HANDLER ============================
+@pytest.fixture
+def EvaluationGroundFigureHandler():
+    return map_handler.EvaluationGroundFigureHandler(start_date=EDATE_PREV, end_date=END_DATE, 
+                                                     obs='aeronet', var='OD550_DUST') 
+
+def test_aeronet_get_figure_layers(EvaluationGroundFigureHandler):
+
+    EvaluationGroundFigureHandler.get_figure_layers()
+    assert str(type(EvaluationGroundFigureHandler.geojson)) == "<class 'dash_leaflet.GeoJSON.GeoJSON'>"
+
+# =================== TIME SERIES HANDLER ============================
+@pytest.fixture
+def TSHandler():
+    return timeseries_handler.ForecastModelsTimeSeriesHandler('median', END_DATE, 'OD550_DUST')
+
+def test_TimeSeriesHandler_retrieve_single_point(TSHandler):
+    run = TSHandler.retrieve_single_point(1, 45, 45, model='median')
+    assert float(run) == 0.13055419921875
+
+def test_TimeSeriesHandler_retrieve_single_point_1(TSHandler):
+    run = TSHandler.retrieve_single_point(3, 5, 5, model=None)
+    assert float(run) == 0.32350343465805054
+
+def test_retrieve_timeseries(TSHandler):
+    run = TSHandler.retrieve_timeseries(5, 5, model=None, method='netcdf', forecast=False)
+    assert run.layout.title.text =='Dust Optical Depth @ lat = 5 and lon = 5'
+
+def test_retrieve_timeseries_1(TSHandler):
+    run = TSHandler.retrieve_timeseries(35, 15, model='monarch', method='netcdf', forecast=True)
+    assert run.layout.title.text =='Dust Optical Depth @ lat = 35 and lon = 15'
+
+def test_retrieve_timeseries_2(TSHandler):
+    run = TSHandler.retrieve_timeseries(35, 15, model='monarch', method='netcdf', forecast=True)
+    assert run.layout.title.text =='Dust Optical Depth @ lat = 35 and lon = 15'
+
+# =================== Evaluation Statistics Figure Handler ============================
+@pytest.fixture
+def EvaluationStatisticsFigureHandler():
+    return map_handler.EvaluationStatisticsFigureHandler('aeronet', 'bias', 'median', '{edate}'.format(edate=EDATE_OBJ.strftime("%Y%m")))
+
+# =================== Visibility Figure Handler ============================
+@pytest.fixture
+def VisFigureHandler():
+    return map_handler.VisFigureHandler(selected_date=END_DATE)
+
+def test_vis_get_figure_layers_empty(VisFigureHandler):
+    VisFigureHandler.path_tpl = "fakepath"
+    VisFigureHandler.get_figure_layers(tstep=0)
+    assert VisFigureHandler.info.id == 'vis-info'
+    assert str(VisFigureHandler.info.children) == "P(B('DATA NOT AVAILABLE'))"
+
+def test_vis_get_figure_layers(VisFigureHandler):
+    VisFigureHandler.get_figure_layers(tstep=0)
+    assert str(type(VisFigureHandler.geojson)) == "<class 'dash_leaflet.GeoJSON.GeoJSON'>"
+
+def test_vis_get_title(VisFigureHandler):
+    assert str(VisFigureHandler.get_title(tstep=0)) == "Visibility reduced by airborne dust<br>{edate} 00-06 UTC".format(edate=EDATE_OBJ.strftime(FMT_MON))
+    assert str(VisFigureHandler.get_title(tstep=9)) == "Visibility reduced by airborne dust<br>{edate} 09-15 UTC".format(edate=EDATE_OBJ.strftime(FMT_MON))
+    assert str(VisFigureHandler.get_title(tstep=39)) == "Visibility reduced by airborne dust<br>{edate} 39-45 UTC".format(edate=EDATE_OBJ.strftime(FMT_MON))
+    assert str(VisFigureHandler.get_title(tstep=72)) == "Visibility reduced by airborne dust<br>{edate} 72-78 UTC".format(edate=EDATE_OBJ.strftime(FMT_MON))
+
+# =================== Prob Handler ============================
+@pytest.fixture
+def ForecastProbFigureHandler():
+    ForecastProbFigureHandler_OD550_DUST = map_handler.ForecastProbFigureHandler(var='OD550_DUST', prob=0.1, selected_date=END_DATE)
+    ForecastProbFigureHandler_SCONC_DUST = map_handler.ForecastProbFigureHandler(var='SCONC_DUST', prob=50, selected_date=END_DATE)
+    return ForecastProbFigureHandler_OD550_DUST, ForecastProbFigureHandler_SCONC_DUST
+
+# def test_prob_set_data(ForecastProbFigureHandler):
+#     assert ForecastProbFigureHandler[0].set_data(tstep=0)[0].data[0] == -24.75
+#     assert ForecastProbFigureHandler[0].set_data(tstep=0)[0].data[9] == -20.25
+#     assert ForecastProbFigureHandler[0].set_data(tstep=0)[1].data[9] == 5.25
+
+def test_prob_retrieve_cdatetime(ForecastProbFigureHandler):
+    assert str(ForecastProbFigureHandler[0].retrieve_cdatetime(tstep=0)) == '{edate} 00:00:00'.format(edate=EDATE_OBJ.strftime(FMT_DASH))
+    assert str(ForecastProbFigureHandler[0].retrieve_cdatetime(tstep=1)) == '{edate} 00:00:00'.format(edate=(EDATE_OBJ + timedelta(days=1)).strftime(FMT_DASH))
+
+def test_prob_get_title(ForecastProbFigureHandler):
+    assert ForecastProbFigureHandler[0].get_title(tstep=0)[-30:] == '{edate} Valid: {edate}'.format(edate=EDATE_OBJ.strftime(FMT_MON))
+    assert ForecastProbFigureHandler[1].get_title(tstep=1)[-30:] == '{edate} Valid: {edate_next}'.format(edate=EDATE_OBJ.strftime(FMT_MON), edate_next=(EDATE_OBJ + timedelta(days=1)).strftime(FMT_MON))
+
+def test_prob_get_figure_layers(ForecastProbFigureHandler):
+    # day 0 for od550_dust
+    ForecastProbFigureHandler[0].get_figure_layers(day=0)
+    assert ForecastProbFigureHandler[0].geojson.url == '/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/00_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
+    assert ForecastProbFigureHandler[0].geojson.options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
+    
+    # day 1 for od550_dust
+    ForecastProbFigureHandler[0].get_figure_layers(day=1)
+    assert ForecastProbFigureHandler[0].geojson.url =='/dashboard/assets/geojsons/prob/od550_dust/0.1/geojson/{edate}/01_{edate}_OD550_DUST.geojson'.format(edate=END_DATE)
+    assert ForecastProbFigureHandler[0].geojson.options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
+
+    # day 0 for sconc_dust
+    ForecastProbFigureHandler[1].get_figure_layers(day=0)
+    assert ForecastProbFigureHandler[1].geojson.url == '/dashboard/assets/geojsons/prob/sconc_dust/50/geojson/{edate}/00_{edate}_SCONC_DUST.geojson'.format(edate=END_DATE)
+    assert ForecastProbFigureHandler[1].geojson.options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
+    
+    # day 1 for sconc_dust
+    ForecastProbFigureHandler[1].get_figure_layers(day=1)
+    assert ForecastProbFigureHandler[1].geojson.url =='/dashboard/assets/geojsons/prob/sconc_dust/50/geojson/{edate}/01_{edate}_SCONC_DUST.geojson'.format(edate=END_DATE)
+    assert ForecastProbFigureHandler[1].geojson.options == {'style': {'variable': 'forecastTab.forecastMaps.styleHandle'}}
+
+# =================== Was Handler ============================
+@pytest.fixture
+def ForecastWasFigureHandler():
+    return map_handler.ForecastWasFigureHandler(was='burkinafaso', model='median', var='SCONC_DUST', 
+                                                 selected_date=END_DATE)
+
+def test_was_get_regions_data(ForecastWasFigureHandler):
+    # day 1
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[0][0] == 'Boucle du Mouhoun'
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[0][1] == 'Cascades'
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[0][-1] == 'Sud-Ouest'
+
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[1][0] == 'green'
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[1][1] == 'green'
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[1][-1] == 'green'
+
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[2][0] == 'Normal'
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[2][1] == 'Normal'
+    assert ForecastWasFigureHandler.get_regions_data(day=1)[2][-1] =='Normal'
+
+    # day 2
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[0][0] == 'Boucle du Mouhoun'
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[0][1] == 'Cascades'
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[0][-1] == 'Sud-Ouest'
+
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[1][0] == 'green'
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[1][1] == 'green'
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[1][-1] == 'green'
+
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[2][0] == 'Normal'
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[2][1] == 'Normal'
+    assert ForecastWasFigureHandler.get_regions_data(day=2)[2][-1] =='Normal'
+
+def test_was_get_geojson_url(ForecastWasFigureHandler):
+    assert ForecastWasFigureHandler.get_geojson_url(day=1) == 'geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_1.geojson'.format(edate=END_DATE)
+    assert ForecastWasFigureHandler.get_geojson_url(day=2) == 'geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_2.geojson'.format(edate=END_DATE)
+    
+def test_was_retrieve_cdatetime(ForecastWasFigureHandler):
+    assert str(ForecastWasFigureHandler.retrieve_cdatetime(tstep=0)) == '{edate} 00:00:00'.format(edate=EDATE_OBJ.strftime(FMT_DASH))
+
+def test_was_get_figure_layers(ForecastWasFigureHandler):
+    
+    ForecastWasFigureHandler.get_figure_layers(day=1)
+    assert ForecastWasFigureHandler.geojson.options == {'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}
+    assert ForecastWasFigureHandler.geojson.url == '/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_1.geojson'.format(edate=END_DATE)
+    assert ForecastWasFigureHandler.legend.className == 'was-legend'
+
+    ForecastWasFigureHandler.get_figure_layers(day=2)
+    assert ForecastWasFigureHandler.geojson.options == {'style': {'variable': 'forecastTab.wasMaps.styleHandle'}}
+    assert ForecastWasFigureHandler.geojson.url == '/dashboard/assets/geojsons/was/burkinafaso/geojson/{edate}/{edate}_SCONC_DUST_2.geojson'.format(edate=END_DATE)
+    assert ForecastWasFigureHandler.legend.className == 'was-legend'
+    
+def test_was_get_title(ForecastWasFigureHandler):
+    assert str(ForecastWasFigureHandler.get_title(day=0)) =="Barcelona Dust Regional Center - Burkina Faso WAS.<br>Expected concentration of airborne dust.<br>Issued: {edate}. Valid: {edate}".format(edate=EDATE_OBJ.strftime(FMT_MON))
+    assert str(ForecastWasFigureHandler.get_title(day=1)) =="Barcelona Dust Regional Center - Burkina Faso WAS.<br>Expected concentration of airborne dust.<br>Issued: {edate}. Valid: {edate_next}".format(edate=EDATE_OBJ.strftime(FMT_MON), edate_next=(EDATE_OBJ + timedelta(days=1)).strftime(FMT_MON))
diff --git a/tests/test_interp.py b/tests/test_nc2timeseries.py
similarity index 68%
rename from tests/test_interp.py
rename to tests/test_nc2timeseries.py
index 15c7ad275684d447b0396908798f938c8918c403..9a51a633b47d81f9b568ec66ee6ce0d55db49e8b 100644
--- a/tests/test_interp.py
+++ b/tests/test_nc2timeseries.py
@@ -1,14 +1,21 @@
 import pytest
 import importlib
-import xarray as xr
-import dask
 import numpy as np
-code = importlib.import_module('preproc.interp')
+import xarray as xr
+code = importlib.import_module('preproc.nc2timeseries_interp')
+
+
+def counter(model):
+    import os
+    import fnmatch
+    dir_path = r'./tmp/{}-feather'.format(model)
+    count = len(fnmatch.filter(os.listdir(dir_path), '*.*'))
+    return count
+
+# def test_convert2timeseries():
+#     assert code.convert2timeseries('test', fmt='feather', months=None) == None
+#     assert counter('test') > 0
 
-# def test_plot_station():
-#     assert code.plot_station(0) == 0
-#     assert code.plot_station(0) == 1
-#
 def test_preprocess():
     # Create sample dataset with 10 timesteps
     data = xr.DataArray(
@@ -22,8 +29,8 @@ def test_preprocess():
     preprocessed_ds = code.preprocess(ds, n=5)
     assert preprocessed_ds.dims == {"time": 5, "lat": 3, "lon": 3}
     assert preprocessed_ds.coords["time"].values.tolist() == [0, 1, 2, 3, 4]
-
     # Test that preprocess function keeps only first 3 timesteps
     preprocessed_ds = code.preprocess(ds, n=3)
     assert preprocessed_ds.dims == {"time": 3, "lat": 3, "lon": 3}
     assert preprocessed_ds.coords["time"].values.tolist() == [0, 1, 2]
+
diff --git a/tests/test_observations.py b/tests/test_observations.py
index 9c6566868838a326a9533cb6dd7c038cecabde4d..0f9ae48506195fdf4ebc3dddd41acf1d7fa35e55 100644
--- a/tests/test_observations.py
+++ b/tests/test_observations.py
@@ -10,9 +10,9 @@ from dash._callback_context import context_value
 from dash._utils import AttributeDict
 code = importlib.import_module('tabs.observations')
 
-from data_handler import START_DATE
-from data_handler import END_DATE
-from data_handler import FREQ
+from map_handler import START_DATE
+from map_handler import END_DATE
+from map_handler import FREQ
 
 FMT_ISO = "%Y%m%d"
 FMT_DASH = "%Y-%m-%d"
@@ -28,36 +28,35 @@ EDATE_OBJ_STR = str(EDATE_OBJ)
 SDATE_OBJ = datetime.strptime(START_DATE, FMT_ISO)
 SDATE_OBJ_STR = str(SDATE_OBJ)
 
-#=================TEST OBS_TIME_SLIDER===========================
+
 def test_obs_time_slider():
-    #TEST DIV=OBS
+    # TEST DIV=OBS
     assert f"display_format='DD MMM YYYY', id='obs-date-picker'), Button(id='clear_button', className='clear_button')], className='timesliderline'), Span(children=[Button(id='btn-obs-play', className='fa fa-play', n_clicks=0, title='Play')], className='timesliderline anim-buttons'), Span(children=Slider(min=0, max=23, step=1" in str(code.obs_time_slider(div='obs', start=0, end=23, step=1, start_date=START_DATE, end_date=END_DATE).children[0])
 
-    #TEST DIV=OBS-VIS
-    from utils import get_vis_edate
+    # TEST DIV=OBS-VIS
     from datetime import datetime
     hour = datetime.now().hour
-    _, default_tstep = get_vis_edate(END_DATE, hour=hour)
+    _, default_tstep = code.get_vis_edate(END_DATE, hour=hour)
     assert "Button(id='clear_button', className='clear_button')], className='timesliderline'), None, Span(children=Slider(min=0, max=18, step=6, marks={0: {'label': '00-06'}, 6: {'label': '06-12'}, 12: {'label': '12-18'}, 18: {'label': '18-24', 'style': {'left': '', 'right': '-32px'}}}, value=%(default_tstep)s, id='obs-vis-slider-graph'), className='timesliderline')], className='timeslider')]" % { 'default_tstep': default_tstep } in str(code.obs_time_slider(div='obs-vis', start=0, end=18, step=6, start_date=START_DATE, end_date=END_DATE))
 
-    #TEST DIV = OBS-AOD
+    # TEST DIV = OBS-AOD
     # assert "NavbarSimple(children=[Div(children=[Span(children=[DatePickerSingle(date='20210318', min_date_allowed=datetime.datetime(2023, 3, 30, 0, 0), max_date_allowed=datetime.datetime(2021, 3, 18, 0, 0), placeholder='DD MON YYYY', initial_visible_month=datetime.datetime(2021, 3, 18, 0, 0), display_format='DD MMM YYYY', id='obs-aod-date-picker'), Button(id='clear_button', className='clear_button')]" % { 'default_tstep': default_tstep }  in str (code.obs_time_slider(div='obs-aod', start=0, end=23, step=1))
 
-
-#=================TEST SIDEBAR OBSERVATIONS ===========================
 def test_sidebar_observations():
     assert "Button(children='EUMETSAT RGB', id='rgb', color='link', style={'fontWeight': 'bold'})" in str(code.sidebar_observations('rgb'))
     assert "Button(children='Visibility', id='visibility', color='link', style={'fontWeight': 'bold'})" in str(code.sidebar_observations('visibility'))
 
-
-#=================TEST TAB_OBSERVATIONS===========================
 def test_tab_observations():
-    #TEST RGB    
+    # TEST RGB    
     assert f"All observations are kindly offered by Partners of the WMO Barcelona Dust Regional Center. RGB is a qualitative satellite product that indicates desert dust in the entire atmospheric column (represented by pink colour).']), className='description-body'), Div(children=[Button(children='HEMISPHERIC', id='btn-fulldisc', active=True), Button(children='MIDDLE EAST', id='btn-middleeast', active=False)], id='rgb-buttons'), Div(children=[Img(id='rgb-image', alt='EUMETSAT RGB - NOT AVAILABLE', src='./assets/eumetsat/FullDiscHD/archive/{END_DATE}/FRAME_OIS_RGB-dust-all_{END_DATE}0000.gif')" in str(code.tab_observations('rgb', start_date=START_DATE, end_date=END_DATE))
 
-    #TEST VISIBILITY
-    from utils import get_vis_edate
+    # TEST VISIBILITY
     from datetime import datetime
     hour = datetime.now().hour
-    _, default_tstep = get_vis_edate(END_DATE, hour=hour)
-    assert "Button(id='clear_button', className='clear_button')], className='timesliderline'), None, Span(children=Slider(min=0, max=18, step=6, marks={0: {'label': '00-06'}, 6: {'label': '06-12'}, 12: {'label': '12-18'}, 18: {'label': '18-24', 'style': {'left': '', 'right': '-32px'}}}, value=%(default_tstep)s, id='obs-vis-slider-graph'), className='timesliderline')], className='timeslider')], id='rgb-navbar', className='fixed-bottom navbar-timebar', dark=True, expand='lg', fixed='bottom', fluid=True), Br(None), Br(None), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer')], className='layout-dropdown rgb-layout-dropdown')], id='observations-tab', className='horizontal-menu', label='Observations', value='observations-tab')" % { 'default_tstep': default_tstep } in str(code.tab_observations('visibility', start_date=START_DATE, end_date=END_DATE))
+    _, default_tstep = code.get_vis_edate(END_DATE, hour=hour)
+    assert "Button(id='clear_button', className='clear_button')], className='timesliderline'), None, Span(children=Slider(min=0, max=18, step=6, marks={0: {'label': '00-06'}, 6: {'label': '06-12'}, 12: {'label': '12-18'}, 18: {'label': '18-24', 'style': {'left': '', 'right': '-32px'}}}, value=%(default_tstep)s, id='obs-vis-slider-graph'), className='timesliderline')], className='timeslider')], id='rgb-navbar', className='fixed-bottom navbar-timebar', dark=True, expand='lg', fixed='bottom', fluid=True), Br(None), Br(None), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='models-disclaimer')], className='disclaimer')], className='layout-dropdown rgb-layout-dropdown')], id='observations-tab', className='horizontal-menu', label='Observations', value='observations-tab')" % { 'default_tstep': default_tstep } in str(code.tab_observations('visibility', start_date=START_DATE, end_date=END_DATE))
+
+def test_get_vis_edate():
+
+    assert code.get_vis_edate(END_DATE, hour=9) == (END_DATE, 0)
+    assert code.get_vis_edate(END_DATE, hour=16) == (END_DATE, 6)
diff --git a/tests/test_observations_callbacks.py b/tests/test_observations_callbacks.py
index 3f7b552e1dc59625e197d48c1fdea8b1e6e28e4d..3597969a8973218a35260a9896835c7bb6ce3a2e 100644
--- a/tests/test_observations_callbacks.py
+++ b/tests/test_observations_callbacks.py
@@ -5,25 +5,28 @@ from contextvars import copy_context
 from dash._callback_context import context_value
 from dash._utils import AttributeDict
 code = importlib.import_module('tabs.observations_callbacks')
-
-from data_handler import START_DATE, END_DATE
-from data_handler import FREQ
+from map_handler import START_DATE
+from unittest.mock import MagicMock
 
 #============ TEST render_evaluation_tab=================================
 def test_render_observations_tab():
     # CASE 1, RGB 1 CLICK, VISIBILITY NO CLICK
     def run_callback():
         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "rgb.n_clicks"}, {"prop_id": "visibility.n_clicks"}]}))
+        code.START_DATE = '20120120'
+        code.END_DATE = '20220831'
         return code.render_observations_tab(1, 0) 
 
     ctx = copy_context()
     output = ctx.run(run_callback)
-    print("*********************")
-    print(output[0])
-    print("---------------------")
-    print(output[1:])
-    print("*********************")
-    assert f"Button(children='HEMISPHERIC', id='btn-fulldisc', active=True), Button(children='MIDDLE EAST', id='btn-middleeast', active=False)], id='rgb-buttons'), Div(children=[Img(id='rgb-image', alt='EUMETSAT RGB - NOT AVAILABLE', src='./assets/eumetsat/FullDiscHD/archive/{END_DATE}/FRAME_OIS_RGB-dust-all_{END_DATE}0000.gif'), Div(children=NavbarSimple(children=[Div(children=[Span(children=[DatePickerSingle(date='{END_DATE}'" in str(output[0]) 
+    assert output[0].id == 'observations-tab'
+    assert output[0].children[0].className == 'description-title' 
+    check_date = output[0].children[3].children[1].children.children[0].children[0].children[0].date
+    assert check_date == code.END_DATE
+    check_id = output[0].children[3].children[1].children.children[0].children[0].children[0].id
+    assert check_id == 'obs-date-picker'
+    assert "All observations are kindly offered by Partners of the WMO Barcelona Dust Regional Center. RGB is a qualitative satellite product that indicates desert dust in the entire atmospheric column (represented by pink colour).']), className='description-body'), Div(children=[Button(children='HEMISPHERIC', id='btn-fulldisc', active=True), Button(children='MIDDLE EAST', id='btn-middleeast', active=False)], id='rgb-buttons'), " in str(output[0]) 
+    assert ", className='timesliderline')], className='timeslider')], id='rgb-navbar', className='fixed-bottom navbar-timebar', dark=True, expand='lg', fixed='bottom', fluid=True), className='layout-dropdown')], className='centered-image'), Div(Interval(id='obs-slider-interval', disabled=True, interval=1000, n_intervals=0))], id='observations-tab', className='horizontal-menu', label='Observations', value='observations-tab')" in str(output[0])
     assert output[1:] == ({ 'font-weight': 'bold' }, { 'font-weight': 'normal' }, 'rgb')
 
 
@@ -31,23 +34,103 @@ def test_render_observations_tab_visibility():
     # CASE 2, RGB NO CLICK, VISIBILITY 1 CLICK
     def run_callback():
         context_value.set(AttributeDict(**{"triggered_inputs": [{"prop_id": "visibility.n_clicks"}]}))
+        code.END_DATE = '20220831'
         return code.render_observations_tab(0, 1) 
 
-    from utils import get_vis_edate
+    from tabs.observations import get_vis_edate
     from datetime import datetime
     hour = datetime.now().hour
-    _, default_tstep = get_vis_edate(END_DATE, hour=hour)
+    _, default_tstep = get_vis_edate('20220831', hour=hour)
     ctx = copy_context()
     output = ctx.run(run_callback)
-    assert "Slider(min=0, max=18, step=6, marks={0: {'label': '00-06'}, 6: {'label': '06-12'}, 12: {'label': '12-18'}, 18: {'label': '18-24', 'style': {'left': '', 'right': '-32px'}}}, value=%(default_tstep)s, id='obs-vis-slider-graph'), className='timesliderline')], className='timeslider')], id='rgb-navbar', className='fixed-bottom navbar-timebar', dark=True, expand='lg', fixed='bottom', fluid=True), Br(None), Br(None), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer')], className='layout-dropdown rgb-layout-dropdown')], id='observations-tab', className='horizontal-menu', label='Observations', value='observations-tab')" % { 'default_tstep': default_tstep } in str(output[0]) 
+    assert "Slider(min=0, max=18, step=6, marks={0: {'label': '00-06'}, 6: {'label': '06-12'}, 12: {'label': '12-18'}, 18: {'label': '18-24', 'style': {'left': '', 'right': '-32px'}}}, value=%(default_tstep)s, id='obs-vis-slider-graph'), className='timesliderline')], className='timeslider')], id='rgb-navbar', className='fixed-bottom navbar-timebar', dark=True, expand='lg', fixed='bottom', fluid=True), Br(None), Br(None), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='models-disclaimer')], className='disclaimer')], className='layout-dropdown rgb-layout-dropdown')], id='observations-tab', className='horizontal-menu', label='Observations', value='observations-tab')" % { 'default_tstep': default_tstep } in str(output[0]) 
     assert output[1:] == ({ 'font-weight': 'normal' }, { 'font-weight': 'bold' }, 'visibility')
 
-# def update_image_src(btn_fulldisc, btn_middleeast, date, tstep, btn_fulldisc_active, btn_middleeast_active):
-# def start_stop_obs_autoslider(n_play, disabled, value):
-# def update_obs_slider(n):
+
+def test_update_image_src_fulldisc(mocker):
+    # Mocking dash.get_asset_url
+    mocked_get_asset_url = mocker.patch('dash.get_asset_url')
+    mocked_get_asset_url.return_value = 'mocked_url'
+
+    def run_callback():
+        # Set up the inputs for the callback
+        context_value.set(AttributeDict(**{"triggered_inputs": 
+            [{"prop_id": "btn-fulldisc.n_clicks"},
+                {"prop_id": "btn-middleeast.n_clicks"},
+                {"prop_id": "eval-date-picker.date"},
+                {"prop_id": "obs-slider-graph.value"},
+                {"prop_id": "btn-fulldisc.active"},
+                {"prop_id": "btn-middleeast.active"}]}))
+
+        return code.update_image_src.uncached(1, None, START_DATE, 3, False, True)
+
+    ctx = copy_context()
+    url, btn_fulldisc_active, btn_middleeast_active  = ctx.run(run_callback)
+    
+    # Assert the expected behavior
+    assert url == 'mocked_url'
+    assert btn_fulldisc_active == True
+    assert btn_middleeast_active == False
+
+def test_update_image_src_middleeast(mocker):
+    # Mocking dash.get_asset_url
+    mocked_get_asset_url = mocker.patch('dash.get_asset_url')
+    mocked_get_asset_url.return_value = 'mocked_url'
+
+    def run_callback():
+        # Set up the inputs for the callback
+        context_value.set(AttributeDict(**{"triggered_inputs": 
+            [{"prop_id": "btn-middleeast.n_clicks"},
+                {"prop_id": "eval-date-picker.date"},
+                {"prop_id": "obs-slider-graph.value"},
+                {"prop_id": "btn-fulldisc.active"},
+                {"prop_id": "btn-middleeast.active"}]}))
+
+        return code.update_image_src.uncached(None, 1, START_DATE, 0, True, False)
+
+    ctx = copy_context()
+    url, btn_fulldisc_active, btn_middleeast_active = ctx.run(run_callback)
+    
+    # Assert the expected behavior
+    assert url == 'mocked_url'
+    assert btn_fulldisc_active == False
+    assert btn_middleeast_active == True
+
+def test_start_stop_obs_autoslider_True():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": 
+            [{"prop_id": "btn-obs-play.n_clicks"},
+                {"prop_id": "obs-slider-interval.disabled"},
+                {"prop_id": "obs-slider-graph.value"}]}))
+        return code.start_stop_obs_autoslider.uncached(1, True, '3')
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output == (False, 3, 'fa fa-pause text-center') 
+
+def test_start_stop_obs_autoslider_False():
+    def run_callback():
+        context_value.set(AttributeDict(**{"triggered_inputs": 
+            [{"prop_id": "btn-obs-play.n_clicks"},
+                {"prop_id": "obs-slider-interval.disabled"},
+                {"prop_id": "obs-slider-graph.value"}]}))
+        return code.start_stop_obs_autoslider.uncached(1, False, '6')
+
+    ctx = copy_context()
+    output = ctx.run(run_callback)
+    assert output == (True, 6, 'fa fa-play text-center') 
+
+def test_update_obs_slider():
+    assert code.update_obs_slider.uncached(0) == 0 
+    assert code.update_obs_slider.uncached(13) == 13 
+    assert code.update_obs_slider.uncached(23) == 23 
+    assert code.update_obs_slider.uncached(24) == 0
+    assert code.update_obs_slider.uncached(36) == 12 
+    assert code.update_obs_slider.uncached(39) == 15 
+    assert code.update_obs_slider.uncached(49) == 1 
 
 def test_update_vis_figure():
-    run = code.update_vis_figure.uncached(END_DATE, 1, [5], [45,45])
+    run = code.update_vis_figure.uncached('20220808', 1, [5], [45,45])
     assert "Map(children=[TileLayer(id={'tag': 'obs-vis-tile-layer', 'index': 'None'}" in str(run)
 
     assert "id='vis-info', className='info', style={'position': 'absolute', 'top': '10px', 'left': '10px', 'zIndex': '1000', 'fontFamily'" in str(run)
diff --git a/tests/test_router.py b/tests/test_router.py
index 34bf61160190aad696bd2fc6d230873d7fc52a1b..6bb6cf67441fd1f63c498e2f2555b7c4a05a1812 100644
--- a/tests/test_router.py
+++ b/tests/test_router.py
@@ -1,7 +1,7 @@
 import pytest
 import importlib
 code = importlib.import_module('router')
-from data_handler import ROUTE_DEFAULTS
+from map_handler import ROUTE_DEFAULTS
 
 #============ TEST get_input_aliases=================================
 def test_get_input_aliases():
diff --git a/tests/test_tools.py b/tests/test_tools.py
index 6c2a78ebcf3ce933b278deb6021343b39a71ff1e..35e042767aa7e5dc2d35f572f4d56bca6c82d192 100644
--- a/tests/test_tools.py
+++ b/tests/test_tools.py
@@ -2,9 +2,9 @@ import pytest
 from datetime import datetime
 from datetime import timedelta
 import importlib
-code = importlib.import_module('tools')
-from data_handler import END_DATE
-from data_handler import FREQ
+code = importlib.import_module('callback_tools')
+from map_handler import END_DATE
+from map_handler import FREQ
 
 FMT_ISO = "%Y%m%d"
 FMT_DASH = "%Y-%m-%d"
@@ -32,15 +32,6 @@ def test_get_timeseries():
 #     assert float(code.get_single_point('median', '20220808', 3, 'OD550_DUST', 25, 40)) == 0.47600093483924866
 #     assert float(code.get_single_point('cams', '20220808', 12, 'SCONC_DUST', 15, 4)) == 1.8746418106729834e-07
 
-def test_get_scores_figure():
-    run1 = code.get_scores_figure('aeronet', 'monarch', 'bias', EDATE_OBJ.strftime("%Y%m"))
-    assert str(run1.data[0]) == 'Scattermapbox()'
-    assert str(run1.data[1].name) == 'MBE score'
-
-    run2 = code.get_scores_figure('modis', 'median', 'bias', EDATE_OBJ.strftime("%Y%m"))
-    assert str(run2.data[0]) == 'Scattermapbox()'
-    assert list(run2.data[1].lat[1:5]) ==[0.25, 0.25, 0.25, 0.25]
-
 def test_get_prob_figure():
     assert "Run: {edate} Valid: {edate}".format(edate=EDATE_OBJ.strftime(FMT_MON)) in str(code.get_prob_figure('OD550_DUST', prob=0.5, day=0, selected_date=END_DATE)[2].children)
     assert code.get_prob_figure('OD550_DUST', prob=0.8, day=1, selected_date=END_DATE)[1].classes ==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
@@ -53,21 +44,20 @@ def test_get_was_figure():
     assert result2 in str(code.get_was_figure(was='chad', day=0, selected_date=END_DATE))
 
 def test_get_vis_figure():
-    result = "Div(children=['Visibility reduced by airborne dust', Br(None), '08 August 2022 00-06 UTC'], id='vis-info', className='info', style={'position': 'absolute', 'top': '10px', 'left': '10px', 'zIndex': '1000', 'fontFamily': "
-    result2 = "Div(children=[Div(children=[Span(children='', className='vis-legend-point', style={'backgroundColor': '#714921'}), Span(children='< 1 km', className='vis-legend-label')], style={'display': 'block'}), Div(children=[Span(children='', className='vis-legend-point', style={'backgroundColor': '#da7230'}), Span(children='1 - 2 km', className='vis-legend-label')],"
-    run1 = str(code.get_vis_figure(tstep=0, selected_date='20220808')[1][1])
-    run2 = str(code.get_vis_figure(tstep=0, selected_date='20220808')[1][2])
-    assert result in run1
-    assert result2 in run2
+    code_run = code.get_vis_figure(tstep=0, selected_date='20230321')
+    assert code_run[1].children[0].children[0].className == 'vis-legend-point'
+    assert code_run[2].children.children.children[2] == '21 Mar 2023 00-06 UTC'
+    assert code_run[2].id == 'vis-info'
 
 def test_get_models_figure():
-    result = f"/dashboard/assets/geojsons/median/geojson/{END_DATE}/00_{END_DATE}_OD550_DUST.geojson"
-    run1 = str(code.get_models_figure(model='median', var='OD550_DUST',
-        selected_date=END_DATE, tstep=0).children[2].url)
-    assert result in run1
-
-    result2 = "{'tag': 'model-tile-layer', 'index': 'monarch'}"
-    run2 = str(code.get_models_figure(model='monarch', var='SCONC_DUST', selected_date=END_DATE, tstep=1,
-        hour=3, static=True, aspect=(1, 1), center=None,
-        view='carto-positron', zoom=None, layer=None, tag='empty').children[0].id)
+    result1 = f"/dashboard/assets/geojsons/median/geojson/{END_DATE}/00_{END_DATE}_OD550_DUST.geojson"
+    run1 = str(code.get_model_figure(var='OD550_DUST', model='median', tstep=0, 
+        selected_date=END_DATE)[0].url)
+    assert result1 in run1
+
+    if END_DATE == '20230430':
+        monarch_date = '20230429'
+    result2 = f"/dashboard/assets/geojsons/NMMB-BSC/geojson/{monarch_date}/00_{monarch_date}_SCONC_DUST.geojson"
+    run2 = str(code.get_model_figure(var='SCONC_DUST', model='monarch', tstep=1, hour=3, 
+        selected_date=END_DATE)[0].url)
     assert result2 in run2
diff --git a/timeseries_handler.py b/timeseries_handler.py
new file mode 100644
index 0000000000000000000000000000000000000000..d98a39e7430152582d08bb074f3707e352fd405a
--- /dev/null
+++ b/timeseries_handler.py
@@ -0,0 +1,446 @@
+# -*- coding: utf-8 -*-
+""" Timeseries Handler """
+
+import os
+from datetime import datetime as dt
+from datetime import timedelta
+from dateutil.relativedelta import relativedelta
+import plotly.graph_objs as go
+import numpy as np
+import pandas as pd
+import json
+import logging
+
+from ines_core_utils import concat_dataframes
+from ines_core_utils import retrieve_timeseries
+from ines_core_utils import retrieve_single_point
+
+from map_handler import DASH_LOG_LEVEL
+from map_handler import MODELS
+from map_handler import MODEBAR_CONFIG
+from map_handler import MODEBAR_CONFIG_TS
+from map_handler import MODEBAR_LAYOUT
+from map_handler import MODEBAR_LAYOUT_TS 
+from map_handler import DELAY
+from map_handler import DELAY_DATE
+from map_handler import FREQ
+from map_handler import VARS
+from map_handler import OBS
+
+DIR_PATH = os.path.dirname(os.path.realpath(__file__))
+
+
+class ForecastModelsTimeSeriesHandler:
+    """ Class to handle forecast time series """
+
+    def __init__(self, model, date, var):
+        """ Initialize ForecastModelsTimeSeriesHandler class
+
+        Parameters
+        ----------
+        model : str
+            Model name
+        date : str
+            Selected date
+        var : str
+            Variable name
+        """
+
+        if isinstance(model, str):
+            model = [model]
+        self.model = model
+        self.var = var
+        self.fpaths = []
+        try:
+            self.month = dt.strptime(date, "%Y%m%d").strftime("%Y%m")
+            self.currdate = dt.strptime(date, "%Y%m%d").strftime("%Y%m%d")
+        except:
+            self.month = dt.strptime(date, "%Y-%m-%d").strftime("%Y%m")
+            self.currdate = dt.strptime(date, "%Y-%m-%d").strftime("%Y%m%d")
+
+        return None
+
+    def retrieve_single_point(self, tstep, lat, lon, model=None):
+        """ Retrive data on single point
+
+        Parameters
+        ----------
+        tstep : int
+            Timestep
+        lat : float
+            Latitude
+        lon : float
+            Longitude
+        model : str, optional
+            Model name, by default None
+
+        Returns
+        -------
+        float
+            Variable value at closest available point from (lat, lon)
+        """
+
+        if not model:
+            model = self.model[0]
+
+        logging.debug("---------- %s", model)
+
+        method = 'netcdf'
+        if (MODELS[model]['start'] == 12 and not DELAY and DELAY_DATE and (dt.strptime(self.currdate, "%Y%m%d") >= dt.strptime(DELAY_DATE, "%Y%m%d"))) or \
+                (MODELS[model]['start'] == 12 and not DELAY and not DELAY_DATE):
+            mod_date = (dt.strptime(self.currdate, "%Y%m%d") -
+                    timedelta(days=1)).strftime("%Y%m%d")
+        else:
+            mod_date = self.currdate
+        path_template = '{}{}.nc'.format(mod_date,
+                                         MODELS[model]['template'],
+                                         self.var)
+
+        fpath = os.path.join(MODELS[model]['path'], method, path_template)
+
+        return retrieve_single_point(fpath, tstep, lat, lon, self.var)
+
+    def retrieve_timeseries(self, lat, lon, model=None, method='netcdf', forecast=False):
+        """ Retrieve timeseries plot for point in modal window
+
+        Parameters
+        ----------
+        lat : float
+            Latitude
+        lon : float
+            Longitude
+        model : str, optional
+            Model name, by default None
+        method : str, optional
+            Method name, by default 'netcdf'
+        forecast : bool, optional
+            Indicates if we are using forecast data, by default False
+
+        Returns
+        -------
+        go.Figure
+            Modal window with timeseries
+        """
+
+        if not model:
+            model = self.model
+
+        # logging.debug("---------- %s", model)
+
+        obs_eval = model[0] not in MODELS and model[0] in OBS
+        if obs_eval:
+            all_models = [model[0]] + list(MODELS.keys())
+        else:
+            all_models = list(MODELS.keys())
+
+        for mod in all_models:
+            if obs_eval:
+                filedir = OBS[model[0]]['path']
+                path_tpl = '{}-{}-{}_interp.ft'  # 202010-median-OD550_DUST_interp.ft
+            else:   # if mod in MODELS:
+                filedir = MODELS[mod]['path']
+                path_tpl = '{}-{}-{}.ft'  # 202010-median-OD550_DUST_interp.ft
+
+            if method == 'feather':
+                path_template = path_tpl.format(self.month, mod, self.var)
+            elif method == 'netcdf':
+                path_template = '{}*{}.nc'.format(self.month, MODELS[mod]['template'], self.var)
+
+            if forecast:
+                method = 'netcdf'
+                if (MODELS[mod]['start'] == 12 and not DELAY and DELAY_DATE and (dt.strptime(self.currdate, "%Y%m%d") >= dt.strptime(DELAY_DATE, "%Y%m%d"))) or \
+                        (MODELS[mod]['start'] == 12 and not DELAY and not DELAY_DATE):
+                    mod_date = (dt.strptime(self.currdate, "%Y%m%d") -
+                            timedelta(days=1)).strftime("%Y%m%d")
+                else:
+                    mod_date = self.currdate
+                path_template = '{}{}.nc'.format(mod_date, MODELS[mod]['template'], self.var)
+
+            fpath = os.path.join(filedir,
+                                 method,
+                                 path_template)
+            self.fpaths.append(fpath)
+
+        title = "{} @ lat = {} and lon = {}".format(
+            VARS[self.var]['name'], round(lat, 2), round(lon, 2)
+        )
+
+        mul = VARS[self.var]['mul']
+
+        fig = go.Figure()
+
+        for mod, fpath in zip(all_models, self.fpaths):
+            # logging.debug(' %s %s', mod, fpath)
+            if mod not in MODELS and mod in OBS:
+                var = OBS[mod]['obs_var']
+            else:
+                var = self.var
+
+            if not os.path.exists(fpath):
+                logging.debug("NOT retrieving %s File doesn't exist.", fpath)
+                continue
+
+            logging.debug('Retrieving *** FPATH *** %s', fpath)
+            try:
+                ts_lat, ts_lon, ts_index, ts_values = retrieve_timeseries(
+                        fpath, lat, lon, var, method=method, forecast=forecast)
+            except Exception as e:
+                logging.debug("NOT retrieving %s ERROR: %s", fpath, str(e))
+                continue
+
+            if forecast is True or mod in ('cams', 'ema-regcm4'):
+                ts = pd.Series(index=ts_index, data=ts_values)
+            else:
+                date_index = pd.date_range('{}01'.format(self.month),
+                        '{}01'.format((dt.strptime(self.month, '%Y%m') +
+                            relativedelta(days=31)).strftime('%Y%m')), freq=f'{FREQ}H')
+                ts = pd.Series(index=ts_index, data=ts_values).reindex(date_index)
+
+            if isinstance(ts_lat, np.ndarray):
+                ts_lat = float(ts_lat)
+                ts_lon = float(ts_lon)
+            if isinstance(ts.values, np.ndarray):
+                ts_values = (ts.values*mul).round(2)
+            else:
+                ts_values = round((ts.values*mul), 2)
+
+            if obs_eval and mod == model[0]:
+                sc_mode = 'markers'
+                marker = {'size': 12, 'symbol': "triangle-up-dot", 'color': '#f0b450'}
+                line = {}
+                visible = True
+                name = "{}".format(mod.upper())
+            elif obs_eval:
+                sc_mode = 'lines'
+                marker = {}
+                line = { 'color': MODELS[mod]['color'] }
+                if mod in model:
+                    visible = True
+                else:
+                    visible = 'legendonly'
+                name = "{}".format(MODELS[mod]['name'])
+            else:
+                sc_mode = 'lines'
+                marker = {}
+                line = { 'color': MODELS[mod]['color'] }
+                if mod in model:
+                    visible = True
+                else:
+                    visible = 'legendonly'
+                name = "{} ({}, {})".format(
+                        MODELS[mod]['name'], round(ts_lat, 2), round(ts_lon, 2))
+
+            if mod == 'median':
+                line['dash'] = 'dash'
+            else:
+                line['dash'] = 'solid'
+
+            fig.add_trace(dict(
+                    type='scatter',
+                    name=name,
+                    x=ts.index,
+                    y=ts_values,
+                    mode=sc_mode,
+                    marker=marker,
+                    line=line,
+                    visible=visible,
+                )
+            )
+
+        fig.update_layout(
+            title=dict(text=title, x=0.45, y=.99),
+            yaxis=dict(exponentformat="none"),
+            # uirevision=True,
+            autosize=True,
+            showlegend=True,
+            plot_bgcolor='#F9F9F9',
+            font_size=12,
+            # hovermode="closest",        # highlight closest point on hover
+            hovermode="x",        # highlight closest point on hover
+            margin={"r": 10, "t": 35, "l": 10, "b": 10},
+        )
+
+        return fig
+
+
+class EvaluationGroundTimeSeriesHandler:
+
+    def __init__(self, obs, start_date, end_date, var, models=None):
+        """ Initialize EvaluationGroundTimeSeriesHandler class
+
+        Parameters
+        ----------
+        obs : str
+            Observations name
+        start_date : str
+            Start date
+        end_date : str
+            End date
+        var : str
+            Variable name
+        models : str, optional
+            Model name, by default None
+        """
+
+        self.obs = obs
+        if models is None:
+            models = list(MODELS.keys())
+        self.model = models
+        self.var = var
+        self.dataframe = []
+        logging.debug("ObsTimeSeries %s %s", start_date, end_date)
+        self.date_range = pd.date_range(start_date, end_date, freq='D')
+
+        fname_tpl = os.path.join(OBS[obs]['path'],
+                                'feather',
+                                '{{}}-{dat}-{{}}_interp.ft')
+
+        months = np.unique([d.strftime("%Y%m") for d in self.date_range.to_pydatetime()])
+
+        self.date_index = pd.date_range('{}01'.format(months[0]),
+                '{}01'.format((dt.strptime(months[-1], '%Y%m') +
+                    relativedelta(days=31)).strftime('%Y%m')), freq=f'{FREQ}H')
+
+        logging.debug('MONTHS %s', months)
+        logging.debug('DATE_INDEX %s', self.date_index)
+
+        fname_obs = fname_tpl.format(dat=obs)
+        notnans, obs_df = concat_dataframes(fname_obs, months, self.var,
+            rename_from=OBS[obs]['obs_var'])
+        self.dataframe.append(obs_df)
+
+        if 'flt_var' in OBS[obs]:
+            fname_flt = fname_tpl.format(dat='{}_{}'.format(obs, OBS[obs]['flt_var']))
+            _, flt_df = concat_dataframes(fname_flt, months, self.var,
+                rename_from=OBS[obs]['flt_var'], notnans=notnans)
+            self.dataframe.append(flt_df)
+
+        for mod in self.model:
+            fname_mod = fname_tpl.format(dat=mod)
+            _, mod_df = concat_dataframes(fname_mod, months, self.var,
+                    rename_from=None, notnans=notnans)
+            self.dataframe.append(mod_df)
+
+        return None
+
+    def retrieve_timeseries(self, idx, station_name, model):
+        """ Retrieve timeseries plot for station in modal window
+
+        Parameters
+        ----------
+        idx : int
+            Station index
+        station_name : str
+            Station name
+        model : str, optional
+            Model name, by default None
+
+        Returns
+        -------
+        go.Figure
+            Modal window with timeseries
+        """
+
+        #FIXME pop filtering variable for now
+        self.dataframe.pop(1)
+        old_indexes = self.dataframe[0]['station'].unique()
+        new_indexes = np.arange(old_indexes.size)
+        dict_idx = dict(zip(new_indexes, old_indexes))
+        logging.debug("RETRIEVE TS %s %s %s %s", idx, dict_idx[idx], station_name, model)
+        fig = go.Figure()
+        for mod, df in zip([self.obs]+self.model, self.dataframe):
+            if df is None:
+                continue
+            logging.debug("MOD %s COLS %s", mod, df.columns)
+            if df.columns[-1].upper() == self.var:
+                df = df.rename(columns = { df.columns[-1]: self.var })
+
+            logging.debug("BUILDING TIME-SERIES")
+            try:
+                tmp_df = df[df['station']==dict_idx[idx]].set_index('time')
+                tmp_df.drop_duplicates(keep='first')
+                timeseries = \
+                   tmp_df.reindex(self.date_index)
+                if timeseries[self.var].isnull().all():
+                    continue
+            except Exception as e:
+                logging.debug("ERROR timeseries %s", str(e))
+                continue
+
+            logging.debug("SELECTING COORDS")
+            if 'lat' in df.columns:
+                lat_col = 'lat'
+                lon_col = 'lon'
+            else:
+                lat_col = 'latitude'
+                lon_col = 'longitude'
+
+            if mod == self.obs:
+                logging.debug("OBSERVATION")
+                sc_mode = 'markers'
+                marker = {'size': 10, 'symbol': "triangle-up-dot", 'color': '#f0b450'}
+                line = {}
+                visible = True
+                name = mod.upper()
+            else:
+                logging.debug("MODEL %s", mod)
+                try:
+                    sc_mode = 'lines'
+                    marker = {}
+                    line = { 'color': MODELS[mod]['color'] }
+                    visible = (mod == model) and True or 'legendonly'
+                    name = "{}".format(MODELS[mod]['name'])
+                    cur_lat = round(timeseries[lat_col].dropna()[0], 2)
+                    cur_lon = round(timeseries[lon_col].dropna()[0], 2)
+                except Exception as e:
+                    logging.debug("ERROR MODEL %s %s %s", mod, str(e), timeseries[lat_col].dropna())
+                    continue
+
+            if mod == 'median':
+                line['dash'] = 'dash'
+
+            logging.debug("ADD TRACE")
+            fig.add_trace(dict(
+                type='scatter',
+                name=name,
+                x=timeseries.index,
+                y=timeseries[self.var].round(2),
+                mode=sc_mode,
+                marker=marker,
+                line=line,
+                visible=visible,
+                connectgaps=False
+                )
+            )
+
+        title = "{} @ {} (lat = {:.2f}, lon = {:.2f})".format(
+            VARS[self.var]['name'], station_name, cur_lat, cur_lon,
+        )
+
+        fig.update_layout(
+            title=dict(text=title, x=0.45, y=0.99),
+            # uirevision=True,
+            autosize=True,
+            showlegend=True,
+            plot_bgcolor='#F9F9F9',
+            font_size=12,
+            hovermode="x",        # highlight closest point on hover
+            margin={"r": 10, "t": 35, "l": 10, "b": 10},
+        )
+        fig.update_xaxes(
+            range=[self.date_range[0], self.date_range[-1]],
+            rangeslider_visible=True,
+            rangeselector=dict(
+                buttons=list([
+                    dict(step="all", label="all"),
+                    dict(count=14, label="2w",
+                         step="day", stepmode="backward"),
+                    dict(count=7, # label="1w",
+                         step="day", stepmode="backward"),
+                ])
+            )
+        )
+
+        logging.debug('FIG TYPE %s', type(fig))
+
+        return fig
diff --git a/tools.py b/tools.py
deleted file mode 100644
index 2df73cbdadb2afe116ba3dd0779295fd5f58d2ce..0000000000000000000000000000000000000000
--- a/tools.py
+++ /dev/null
@@ -1,208 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-""" Tools module with functions related to plots """
-
-from datetime import datetime as dt
-from datetime import timedelta
-import os
-
-from data_handler import FigureHandler
-from data_handler import WasFigureHandler
-from data_handler import ProbFigureHandler
-from data_handler import VisFigureHandler
-from data_handler import ScoresFigureHandler
-from data_handler import TimeSeriesHandler
-from data_handler import ObsTimeSeriesHandler
-from data_handler import Observations1dHandler
-from data_handler import DEBUG
-from data_handler import MODELS
-from data_handler import END_DATE, DELAY, DELAY_DATE
-from utils import get_currdate_tstep
-
-def download_image_link(models, variable, curdate, tstep=0, anim=False):
-    """ Generates links to animated gifs """
-    if DEBUG:
-        print('CURRDIR', os.getcwd())
-    filepath = "assets/comparison/{model}/{variable}/{year}/{month}/{curdate}_{model}_{tstep}.{ext}"
-
-    if len(models) == 1:
-        model = models[0]
-        if DEBUG:
-            print('DOWNLOAD MODELS', model)
-    else:
-        if DEBUG:
-            print('DOWNLOAD ALL MODELS')
-        model = "all"
-    if anim:
-        tstep = "loop"
-        ext = "gif"
-        if DEBUG:
-            print('DOWNLOAD LOOP')
-    else:
-        tstep = "%02d" % tstep
-        ext = "png"
-        if DEBUG:
-            print('DOWNLOAD PNG', tstep)
-
-    filename = filepath.format(
-                model=model,
-                variable=variable.lower(),
-                year=curdate[:4],
-                month=curdate[4:6],
-                curdate=curdate,
-                tstep=tstep,
-                ext=ext
-            )
-    if DEBUG:
-        print('DOWNLOAD FILENAME', filename)
-    return filename 
-
-
-def get_eval_timeseries(obs, start_date, end_date, var, idx, name, model):
-    """ Retrieve timeseries """
-    if DEBUG:
-        print('SERVER: OBS TS init for obs {} ... '.format(str(obs)))
-    th = ObsTimeSeriesHandler(obs, start_date, end_date, var)
-    if DEBUG:
-        print('SERVER: OBS TS generation ... ')
-    return th.retrieve_timeseries(idx, name, model)
-
-
-def get_timeseries(model, date, var, lat, lon, forecast=False):
-    """ Retrieve timeseries """
-    if DEBUG:
-        print('SERVER: TS init for models {} ... '.format(str(model)))
-    th = TimeSeriesHandler(model, date, var)
-    if DEBUG:
-        print('SERVER: TS generation ... ')
-    return th.retrieve_timeseries(lat, lon, method='feather', forecast=forecast)
-
-
-def get_single_point(model, date, tstep, var, lat, lon):
-    """ Retrieve sigle point """
-    if DEBUG:
-        print('SERVER: SINGLE POINT init for models {} ... '.format(str(model)))
-    th = TimeSeriesHandler(model, date, var)
-    if DEBUG:
-        print('SERVER: SINGLE POINT generation ... ')
-    return th.retrieve_single_point(tstep, lat, lon)
-
-
-def get_obs1d(sdate, edate, obs, var):
-    """ Retrieve 1D observation """
-    obs_handler = Observations1dHandler(sdate, edate, obs)
-    return obs_handler.generate_obs1d_tstep_trace(var)
-
-
-def get_scores_figure(network, model, statistic, selection=END_DATE):
-    """ Retrieve 1D observation """
-    fh = ScoresFigureHandler(network, statistic, selection)
-    return fh.retrieve_scores(model) 
-
-
-def get_prob_figure(var, prob=None, day=0, selected_date=END_DATE):
-    """ Retrieve figure """
-    if DEBUG:
-        print(prob, day, selected_date)
-    try:
-        selected_date = dt.strptime(
-            selected_date, "%Y-%m-%d").strftime("%Y%m%d")
-    except:
-        pass
-    if DEBUG:
-        print(prob, day, selected_date)
-    if prob:
-        if DEBUG:
-            print('SERVER: PROB Figure init ... ')
-        fh = ProbFigureHandler(var=var, prob=prob, selected_date=selected_date)
-        if DEBUG:
-            print('SERVER: PROB Figure generation ... ')
-        return fh.retrieve_var_tstep(day=day)
-    if DEBUG:
-        print('SERVER: NO PROB Figure')
-    return ProbFigureHandler().retrieve_var_tstep()
-
-
-def get_was_figure(was=None, day=0, selected_date=END_DATE):
-    """ Retrieve figure """
-    if DEBUG:
-        print(was, day, selected_date)
-    try:
-        selected_date = dt.strptime(
-            selected_date, "%Y-%m-%d").strftime("%Y%m%d")
-    except:
-        pass
-    if DEBUG:
-        print(was, day, selected_date)
-    if was:
-        if DEBUG:
-            print('SERVER: WAS Figure init ... ')
-        fh = WasFigureHandler(was=was, selected_date=selected_date)
-        if DEBUG:
-            print('SERVER: WAS Figure generation ... ')
-        return fh.retrieve_var_tstep(day=day)
-    if DEBUG:
-        print('SERVER: NO WAS Figure')
-    return WasFigureHandler().retrieve_var_tstep()
-
-
-def get_vis_figure(tstep=0, selected_date=END_DATE):
-    """ Retrieve figure """
-    if DEBUG:
-        print(tstep, selected_date)
-    try:
-        selected_date = dt.strptime(
-            selected_date, "%Y-%m-%d").strftime("%Y%m%d")
-    except:
-        pass
-    if DEBUG:
-        print(tstep, selected_date)
-    if tstep is not None:
-        if DEBUG:
-            print('SERVER: VIS Figure init ... ')
-        fh = VisFigureHandler(selected_date=selected_date)
-        if DEBUG:
-            print('SERVER: VIS Figure generation ... ')
-        return fh.retrieve_var_tstep(tstep=tstep)
-    if DEBUG:
-        print('SERVER: NO VIS Figure')
-    return VisFigureHandler().retrieve_var_tstep()
-
-
-def get_models_figure(model=None, var=None, selected_date=END_DATE, tstep=0,
-        hour=None, static=True, aspect=(1, 1), center=None,
-        view='carto-positron', zoom=None, layer=None, tag='empty'):
-    """ Retrieve figure """
-    if DEBUG:
-        print("***", model, var, selected_date, tstep, hour, "***")
-    try:
-        selected_date = dt.strptime(
-            selected_date, "%Y-%m-%d %H:%M:%S").strftime("%Y%m%d")
-    except:
-        pass
-
-    if model in MODELS:
-        model_start = MODELS[model]['start']
-        model_start_before = ('start_before' in MODELS[model]) and MODELS[model]['start_before'] or False
-        current_time_before = (DELAY_DATE and dt.strptime(selected_date, "%Y%m%d") < dt.strptime(DELAY_DATE, "%Y%m%d"))
-        if DEBUG:
-            print(f"""
-************************ SERVER: Figure init *********************
-* DELAY: {DELAY}, DELAY_DATE: {DELAY_DATE}, SELECTED DATE: {selected_date}, CURR_BEFORE: {current_time_before}    *
-* MODEL: {model}, MODEL_START: {model_start}, MODEL_START_DELAYED: {model_start_before} *
-******************************************************************
-            """)
-        # If current date is later than the delay date and the model_start is 12
-        # or current date is before than the delay date and the model_start
-        selected_date, tstep, _ = get_currdate_tstep(model_start, model_start_before, current_time_before, DELAY, selected_date, tstep)
-
-        if DEBUG:
-            print('***** SERVER: Figure generation: CURR_DATE', selected_date, 'TSTEP', tstep, '*****')
-        #  return True
-        fh = FigureHandler(model, selected_date)
-        return fh.retrieve_var_tstep(var, tstep, hour, static, aspect, center,
-                                     view, zoom, layer, tag)
-
-    if DEBUG:
-        print('SERVER: No Figure')
-    return FigureHandler().retrieve_var_tstep(layer=layer, center=center, selected_tiles=view, zoom=zoom, tag=tag)
diff --git a/utils.py b/utils.py
index cbacd77709386e6d5bb76a0d2c92a539eebb106b..164e433afc699be7122066d9f41e8c365e87456b 100644
--- a/utils.py
+++ b/utils.py
@@ -2,252 +2,78 @@
 # -*- coding: utf-8 -*-
 """ Utils module with utility functions """
 
-import math
-import os.path
-from datetime import datetime
-from datetime import timedelta
-import matplotlib as mpl
-from matplotlib import cm
-import xarray as xr
-import numpy as np
 import pandas as pd
-import feather
-
-
-def concat_dataframes(fname_tpl, months, variable, rename_from=None, notnans=None):
-    """ Concatenate monthly dataframes """
-
-    # build feather files paths
-    opaths = [fname_tpl.format(month, variable)
-        for month in months if os.path.exists(fname_tpl.format(month, variable))]
-
-    print("__________", opaths, "__________")
-    if not opaths:
-        return None, None
-
-    # read monthly dataframes and concatenate into one
-    if rename_from:
-        mon_dfs = pd.concat([feather.read_dataframe(opath)
-            .rename(columns={rename_from: variable})
-            for opath in opaths])
-    # in case of models we don't rename the variable column
-    else:
-        mon_dfs = pd.concat([feather.read_dataframe(opath)
-            for opath in opaths])
-
-    # 1d observations
-    if 'station' in mon_dfs.columns:
-        if notnans is None:
-            notnans = [st for st in mon_dfs['station'].unique()
-                if not mon_dfs[mon_dfs['station']==st][variable].isnull().all()]
-        mon_dfs_filter = mon_dfs['station']
-        final_df = mon_dfs[mon_dfs_filter.isin(notnans)]
-    # 2d observations
-    else:
-        final_df = mon_dfs
-
-    return notnans, final_df
-
-
-def retrieve_single_point(fname, tstep, lat, lon, variable):
-    """ """
-    from data_handler import DEBUG
-    if DEBUG: print(fname, tstep, lat, lon, variable)
-    ds = xr.open_dataset(fname)
-    if variable not in ds.variables:
-        variable = variable.lower()
-    # print('TIMESERIES', fname, variable, lon, lat)
-    if 'lat' in ds.variables:
-        da = ds[variable].sel(lon=lon, lat=lat, method='nearest')
-    else:
-        da = ds[variable].sel(longitude=lon, latitude=lat, method='nearest')
-    if DEBUG: print(da)
-    return da.values[tstep]
-
-
-def retrieve_timeseries(fname, lat, lon, variable, method='netcdf', forecast=False):
-    """ """
-    if method == 'feather' and not forecast:
-        df = feather.read_dataframe(fname)
-        if 'lat' in df.columns:
-            lat_col = 'lat'
-            lon_col = 'lon'
-        else:
-            lat_col = 'latitude'
-            lon_col = 'longitude'
-
-        if variable not in df.columns:
-            variable = variable.lower()
-
-        if variable not in df.columns:
-            return None, None, None, None
-
-        n_lon = find_nearest(df[lon_col].values, lon)
-        n_lat = find_nearest(df[lat_col].values, lat)
-        ts = df[(df[lat_col] == n_lat) & (df[lon_col] == n_lon)][['time',
-            variable]].set_index('time')
-
-        return n_lat, n_lon, ts.index, ts[variable]
-
-    def preprocess(ds, n=8):
-        return ds.isel(time=range(n))
-
-    if forecast:
-        ds = xr.open_dataset(fname)
-    else:
-        ds = xr.open_mfdataset(fname, concat_dim='time', combine='nested',
-                preprocess=preprocess)
-    if variable not in ds.variables:
-        variable = variable.lower()
-    # print('TIMESERIES', fname, variable, lon, lat)
-    if 'lat' in ds.variables:
-        da = ds[variable].sel(lon=lon, lat=lat, method='nearest')
-        clat = 'lat'
-        clon = 'lon'
-    else:
-        da = ds[variable].sel(longitude=lon, latitude=lat, method='nearest')
-        clat = 'latitude'
-        clon = 'longitude'
-    return da[clat].values, da[clon].values, da.indexes['time'], da
-
-
-def find_nearest(array, value):
-    """ Find the nearest value of a couple of coordinates """
-    return array[np.abs(array-value).argmin()]
-
-
-def find_nearest2(array, value):
-    """ Find the nearest value of a couple of coordinates """
-    idx = np.searchsorted(array, value, side="left")
-    if idx > 0 and (idx == len(array) or math.fabs(value - array[idx-1]) <
-                    math.fabs(value - array[idx])):
-        return array[idx-1]
-
-    return array[idx]
-
-
-def calc_matrix(n):
-    """ Calculate the mosaic optimum matrix shape """
-    sqrt_n = math.sqrt(n)
-    ncols = sqrt_n == int(sqrt_n) and int(sqrt_n) or int(sqrt_n) + 1
-    nrows = n%ncols > 0 and int(n/ncols)+1 or int(n/ncols)
-    return ncols, nrows
-
-
-def magnitude(num):
-    """ Calculate magnitude """
-    if num == 0:
-        num = 1
-    return int(math.floor(math.log10(num)))
-
-
-def normalize_vals(vals, valsmin, valsmax, rnd=2):
-    """ Normalize values to 0-1 scale """
-    if len(vals) == 1:
-        return np.array([0])
-    vals = np.array(vals)
-    if rnd < 2:
-        rnd = 2
-    return np.around((vals-valsmin)/(valsmax-valsmin), rnd)
-
-
-def get_colorscale(bounds, colormap, discrete=True):
-    """ Create colorscale """
-    if isinstance(colormap, str):
-        colormap = cm.get_cmap(colormap)
-
-    bounds = np.array(bounds).astype('float32')
-    magn = magnitude(bounds[-1])
-    n_bounds = normalize_vals(bounds, bounds[0], bounds[-1], magn)
-    norm = mpl.colors.BoundaryNorm(bounds, colormap.N, clip=True)
-    s_map = cm.ScalarMappable(norm=norm, cmap=colormap)
-
-    norm_val = not (list(bounds) == list(n_bounds))
-
-    colorscale = [[idx,
-                   'rgba' + str(s_map.to_rgba(val,
-                                              alpha=True,
-                                              bytes=True,
-                                              norm=norm_val))]
-                  for idx, val in zip(n_bounds, bounds)]
-
-    if discrete is True:
-        for item in colorscale.copy():
-            if colorscale.index(item) < len(colorscale)-2:
-                colorscale.insert(colorscale.index(item)+1,
-                                  [colorscale[colorscale.index(item)+1][0],
-                                   colorscale[colorscale.index(item)][1]])
-            elif len(colorscale) == 1:
-                colorscale.insert(1, [1, colorscale[0][1]])
-
-    return colorscale
-
-
-def get_vis_edate(end_date, hour=None):
-    """ Return default date and timestep for visibility. """
-    from data_handler import DEBUG
-    delay = timedelta(hours=8)
-    half_day = timedelta(hours=12)
-    fmt_full = "%Y%m%d %H:%M"
-    fmt_date = "%Y%m%d"
-    hours = (0, 6, 12, 18)
-
-    now = datetime.now()
-    now_hour = now.hour
-    if hour is not None:
-        now_hour = hour
-    edate = datetime.strptime(end_date, fmt_date) + timedelta(hours=now_hour)
-    cdate = edate.strftime(fmt_date)
-
-    curr = None
-    for idx, h in enumerate(hours[:-1]):
-        curr = datetime.strptime("{} {:02d}:00".format(cdate, h), fmt_full)
-        curr1 = datetime.strptime("{} {:02d}:00".format(cdate, hours[idx+1]), fmt_full)
-        if edate < curr + delay:
-            curr = curr - half_day
-            curr1 = curr1 - half_day
-
-        if (edate >= curr + delay) and (edate < curr1 + delay):
-            if DEBUG: print("NOW", edate, "CURR", curr, "H", curr.hour)
-            break
-
-    if curr is not None:
-        return curr.strftime(fmt_date), curr.hour
-
-    return cdate, edate.hour
-
-
-def get_currdate_tstep(model_start, model_start_before, current_time_before, delay, selected_date, tstep=4):
-    """ Returns date and timestep """
-
-    # MODELS starting at 00 with 3 days of forecast
-    print("Starting at 0 and NOT DELAYED: 3 days forecast!")
-    cdo_tsteps = "1/25"
-    delayed = (current_time_before and not delay) or (not current_time_before and delay)
-
-    # MODELS not starting at 00
-    if (model_start == 12 and not model_start_before) or \
-            (current_time_before and model_start_before == 12):
-        if delayed:
-            print("Starting at 12 and DELAYED: 2 days forecast!")
-            # DELAYED (2 days): models that starts at 12h considering end_date = current_date - 1
-            if tstep < 4:
-                selected_date = (datetime.strptime(selected_date, "%Y%m%d") -
-                                 timedelta(days=1)).strftime("%Y%m%d")
-                tstep = int(tstep) + 4
-            else:
-                tstep = int(tstep) - 4
-            cdo_tsteps = "1/21"
-        else:
-            print("Starting at 12 and NOT DELAYED: 3 days forecast!")
-            # NOT DELAYED (3 days): models that starts at 12h considering end_date = current_date
-            selected_date = (datetime.strptime(selected_date, "%Y%m%d") -
-                             timedelta(days=1)).strftime("%Y%m%d")
-            tstep = int(tstep) + 4
-            cdo_tsteps = "5/29"
-    # MODELS starting at 00 with 2 days of forecast
-    elif delayed:
-        print("Starting at 0 and DELAYED: 2 days forecast!")
-        cdo_tsteps = "5/25"
-
-    return selected_date, tstep, cdo_tsteps
+
+
+def format_floats(dataframe):
+    """ Change all columns in a dataframe except for 'station',
+        so that floats will be formatted to 2 digits after the decimal place
+
+    Parameters
+    ----------
+    dataframe : pandas.core.frame.DataFrame
+        Dataframe
+
+    Returns
+    -------
+    pandas.core.frame.DataFrame
+        Dataframe with formatted columns
+    """
+
+    for col in dataframe.columns:
+        # check if the column is not 'station'
+        if col != 'station':
+            # convert the column to a string to allow for string formatting
+            dataframe[col] = dataframe[col].astype(str)
+            # iterate over the values in the column
+            for i, val in enumerate(dataframe[col]):
+                # check if the value is a float
+                if '.' in val:
+                    # if so, format it to have 2 decimal places
+                    dataframe.at[i, col] = '{:.2f}'.format(float(val))
+
+    return dataframe
+
+
+def alphabetize_stations(dataframe):
+    """ Alphabetize the stations for each region in the AERONET statistics table
+
+    Parameters
+    ----------
+    dataframe : pandas.core.frame.DataFrame
+        Dataframe
+
+    Returns
+    -------
+    pandas.core.frame.DataFrame
+        Dataframe with sorted columns
+    """
+
+    # Define a list of regions to sort between (in the desired order)
+    regions = ['Europe', 'Mediterranean', 'MiddleEast', 'NAfrica', 'Total']
+    region_dfs = []
+
+    # Iterate over each pair of consecutive regions and sort the rows between them
+    for i in range(len(regions)-1):
+        # Get the indices of the current and next regions
+        current_region_idx = dataframe[dataframe['station'] == regions[i]].index[0]
+        next_region_idx = dataframe[dataframe['station'] == regions[i+1]].index[0]
+        # Slice the dataframe to select the rows between the current and next regions
+        subset_df = dataframe.loc[current_region_idx+1:next_region_idx-1]
+        # Sort the rows alphabetically based on the 'station' column
+        subset_df = subset_df.sort_values(by='station')
+        # Create a new dataframe containing only the current region row
+        current_region_row = dataframe.loc[current_region_idx].to_frame().T
+        # Append the current region row and sorted subset dataframe to the list of region DataFrames
+        region_dfs.append(current_region_row)
+        region_dfs.append(subset_df)
+
+    # Add the 'Total' row back to the end of the sorted dataframe
+    total_row_idx = dataframe[dataframe['station'] == 'Total'].index[0]
+    total_row = dataframe.loc[total_row_idx].to_frame().T
+    region_dfs.append(total_row)
+
+    # Concatenate all of the region DataFrames into a single sorted DataFrame
+    sorted_df = pd.concat(region_dfs)
+
+    return sorted_df