diff --git a/assets/style.css b/assets/style.css
index e5ca1c5b91469b5bae2c48a7af999aa4a4eb882f..76a37e564827b6bafca72d41ac303d139012d531 100644
--- a/assets/style.css
+++ b/assets/style.css
@@ -1000,3 +1000,22 @@ td.column-0 {
     max-width: 100%;
     min-width: 10%;
 }
+
+.toast-body {
+    padding: .25rem .75rem;
+}
+
+ #toast {
+    left: 340px;
+    bottom: 72px;
+    z-index: 10000;
+    position: absolute;
+}
+
+.fa-caret-down {
+    color: white;
+    position: absolute;
+    top: 59px;
+    left: 7px;
+    font-size: xxx-large;
+}
diff --git a/tabs/forecast.py b/tabs/forecast.py
index 30da9490543437b16f2d022d1d770434e0fc1610..a22c56da1d686ea3d23531fa70e291a875e71b6f 100644
--- a/tabs/forecast.py
+++ b/tabs/forecast.py
@@ -278,6 +278,25 @@ def models_children(start_date=START_DATE, end_date=END_DATE):
                 )
             ]
 
+def alert_3day_update():
+    """ Create the alert to notify users that after April, 3 days of forecast is now
+    available for PROB and WAS maps"""
+    if DELAY_DATE:
+        date = dt.strptime(DELAY_DATE, "%Y%m%d").strftime("%b %d %Y")
+        message = "3 day forecast available starting {}".format(date)
+        return dbc.Toast(
+                [html.P(message, className="mb1"),
+                 html.I(
+                     className="fa fa-solid fa-caret-down",
+                     )],
+                 id="toast",
+                 header=None,
+                 icon="warning",
+                 duration=10000,
+                 dismissable=True,
+                 )
+    return
+
 def prob_children(start_date=START_DATE, end_date=END_DATE):
     """ Return html for probablility maps"""
     return [
@@ -290,6 +309,7 @@ def prob_children(start_date=START_DATE, end_date=END_DATE):
             html.Div(
                 id='prob-graph',
                 className='graph-with-slider'),
+            alert_3day_update(), 
             html.Div(DISCLAIMER_MODELS,
                      className='disclaimer'),
             dbc.NavbarSimple([
@@ -327,6 +347,7 @@ def was_children(start_date=START_DATE, end_date=END_DATE):
                     id='was-graph',
                     className='graph-with-slider'),
                 ),
+            alert_3day_update(), 
             html.Div(DISCLAIMER_MODELS,
                      className='disclaimer'),
             dbc.NavbarSimple([
diff --git a/tests/test_forecast.py b/tests/test_forecast.py
index ae24b6e46e04207c52c1f340e02ea8ea360ccbc9..bcd0166533f9e1555c5830acf81818d6f4543eb7 100644
--- a/tests/test_forecast.py
+++ b/tests/test_forecast.py
@@ -25,21 +25,38 @@ def test_was_time_bar():
 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'))
 
+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')" 
+
 def test_prob_children():
-    assert  "[Div(id={'tag': 'tab-name', 'index': 'prob'}), Div(id='prob-graph', className='graph-with-slider'), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer'), NavbarSimple(children=[Div(children=[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='prob-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='prob-slider-graph'), id='prob-slider-container', className='timesliderline')], className='timeslider'), 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.prob_children('20120120', '20220808'))
+    assert  "date='20220808'" in str(code.prob_children('20120120', '20220808'))
+    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')"
 
 def test_was_children():
-    assert """[Div(id={'tag': 'tab-name', 'index': 'was'}), Spinner(Div(children=[Div(id="{'index':'None', 'tag': 'empty-map'}")], id='was-graph', className='graph-with-slider')), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer'), NavbarSimple(children=[Div(children=[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'), 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'))
+    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'))
 
 def test_tab_forecast():
     #TEST MODELS
-    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'), 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')], id='layout-dropdown', className='layout-dropdown')], className='fixed-bottom navbar-timebar', dark=True, expand='lg', fixed='bottom', fluid=True)], id='forecast-tab', className='horizontal-menu', label='Forecast', value='forecast-tab')" in str(code.tab_forecast('models', '20120120', '20220808'))
+    assert  "id='forecast-tab', className='horizontal-menu', label='Forecast', value='forecast-tab')" in str(code.tab_forecast('models', '20120120', '20220808'))
+    assert "Div(id={'tag': 'tab-name', 'index': 'models'})" in str(code.tab_forecast('models', '20120120', '20220808').children[0])
+    assert "Dust data ©2023 WMO Barcelona Dust Regional Center." in str(code.tab_forecast('models', '20120120', '20220808').children[2])
+    assert "date='20220808" in str(code.tab_forecast('models', '20120120', '20220808').children[5])
+
 
     #TEST WAS
-    assert  """Tab(children=[Div(id={'tag': 'tab-name', 'index': 'was'}), Spinner(Div(children=[Div(id="{'index':'None', 'tag': 'empty-map'}")], id='was-graph', className='graph-with-slider')), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer'), NavbarSimple(children=[Div(children=[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'), 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)], id='forecast-tab', className='horizontal-menu', label='Forecast', value='forecast-tab')""" in str(code.tab_forecast('was', '20120120', '20220808'))
+    assert  "id='forecast-tab', className='horizontal-menu', label='Forecast', value='forecast-tab'" in str(code.tab_forecast('was', '20120120', '20220808'))
+    assert "Div(id={'tag': 'tab-name', 'index': 'was'})" in str(code.tab_forecast('was', '20120120', '20220808').children[0])
+    assert "Toast(children=[P(children='3 day forecast available starting Apr 01 2023', className='mb1')" in str(code.tab_forecast('was', '20120120', '20220808').children[2])
+    assert "date='20220808" in str(code.tab_forecast('was', '20120120', '20220808').children[4])
 
     #TEST PROB
-    assert  "Tab(children=[Div(id={'tag': 'tab-name', 'index': 'prob'}), Div(id='prob-graph', className='graph-with-slider'), Div(children=[Span(children=P('Dust data ©2023 WMO Barcelona Dust Regional Center.'), id='forecast-disclaimer')], className='disclaimer'), NavbarSimple(children=[Div(children=[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='prob-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='prob-slider-graph'), id='prob-slider-container', className='timesliderline')], className='timeslider'), 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)], id='forecast-tab', className='horizontal-menu', label='Forecast', value='forecast-tab')" in str(code.tab_forecast('prob', '20120120', '20220808'))
+    assert  "id='forecast-tab', className='horizontal-menu', label='Forecast', value='forecast-tab'" in str(code.tab_forecast('prob', '20120120', '20220808'))
+    assert "Div(id={'tag': 'tab-name', 'index': 'prob'})" in str(code.tab_forecast('prob', '20120120', '20220808').children[0])
+    assert "Toast(children=[P(children='3 day forecast available starting Apr 01 2023', className='mb1')" in str(code.tab_forecast('prob', '20120120', '20220808').children[2])
+    assert "date='20220808" in str(code.tab_forecast('prob', '20120120', '20220808').children[4])
 
 def test_expand_dropdown():
     assert  "{'models': True, 'prob': False, 'was': False}" in str(code.expand_dropdown('models'))
diff --git a/tests/test_interp.py b/tests/test_interp.py
new file mode 100644
index 0000000000000000000000000000000000000000..15c7ad275684d447b0396908798f938c8918c403
--- /dev/null
+++ b/tests/test_interp.py
@@ -0,0 +1,29 @@
+import pytest
+import importlib
+import xarray as xr
+import dask
+import numpy as np
+code = importlib.import_module('preproc.interp')
+
+# 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(
+        np.random.randn(10, 3, 3),
+        dims=("time", "lat", "lon"),
+        coords={"time": range(10), "lat": [10, 20, 30], "lon": [-120, -110, -100]},
+    )
+    ds = xr.Dataset({"var": data})
+
+    # Test that preprocess function keeps only first 5 timesteps
+    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_median_calc.py b/tests/test_median_calc.py
new file mode 100644
index 0000000000000000000000000000000000000000..e0d7fccaffb62e4077dc46ea15686b6fd2d1bd4f
--- /dev/null
+++ b/tests/test_median_calc.py
@@ -0,0 +1,9 @@
+import pytest
+import importlib
+import os
+code = importlib.import_module('preproc.median_calc')
+
+# main_output_path = "/data/products/median/"
+# archive_path = os.path.join(main_output_path, "tmp")
+# def test_generate_median_file():
+#     assert code.generate_median_file('20220505') == 0