From 8b132385c63266b5a024a997ee10a03518ba2db5 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Tue, 13 Dec 2022 07:58:00 +0100
Subject: [PATCH 01/84] Adapt to new as.s2dv_cube()

---
 modules/Loading/Loading.R         | 6 ++++--
 modules/Loading/Loading_decadal.R | 8 ++++----
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/modules/Loading/Loading.R b/modules/Loading/Loading.R
index 8d54d63d..93eadea7 100644
--- a/modules/Loading/Loading.R
+++ b/modules/Loading/Loading.R
@@ -4,7 +4,9 @@ source("/esarchive/scratch/vagudets/repos/csoperational/R/get_regrid_params.R")
 source("modules/Loading/dates2load.R")
 source("modules/Loading/check_latlon.R")
 source("tools/libs.R")
-
+#TODO: remove these two lines when new as.s2dv_cube() is in CSTools
+source('https://earth.bsc.es/gitlab/external/cstools/-/raw/develop-new_s2dv_cube/R/as.s2dv_cube.R')
+source('https://earth.bsc.es/gitlab/external/cstools/-/raw/develop-new_s2dv_cube/R/zzz.R')
 
 load_datasets <- function(recipe) {
 
@@ -203,7 +205,7 @@ load_datasets <- function(recipe) {
 
   # Obtain dates and date dimensions from the loaded hcst data to make sure
   # the corresponding observations are loaded correctly.
-  dates <- hcst$Dates$start
+  dates <- hcst$attrs$Dates
   dim(dates) <- dim(Subset(hcst$data, 
 			   along=c('dat', 'var',
 			   'latitude', 'longitude', 'ensemble'),
diff --git a/modules/Loading/Loading_decadal.R b/modules/Loading/Loading_decadal.R
index 8046344b..394d29ff 100644
--- a/modules/Loading/Loading_decadal.R
+++ b/modules/Loading/Loading_decadal.R
@@ -11,8 +11,9 @@ source("modules/Loading/helper_loading_decadal.R")
 source("modules/Loading/dates2load.R")
 source("modules/Loading/check_latlon.R")
 source("tools/libs.R")
-## TODO: Remove once the fun is included in CSTools
-source("tools/tmp/as.s2dv_cube.R")
+#TODO: remove these two lines when new as.s2dv_cube() is in CSTools
+source('https://earth.bsc.es/gitlab/external/cstools/-/raw/develop-new_s2dv_cube/R/as.s2dv_cube.R')
+source('https://earth.bsc.es/gitlab/external/cstools/-/raw/develop-new_s2dv_cube/R/zzz.R')
 
 #====================================================================
 
@@ -275,7 +276,7 @@ load_datasets <- function(recipe) {
   # Get from startR_cube
 #  dates <- attr(hcst, 'Variables')$common$time
   # Get from s2dv_cube
-  dates <- hcst$Dates$start 
+  dates <- hcst$attrs$Dates  
   dates_file <- sapply(dates, format, '%Y%m')
   dim(dates_file) <- dim(dates)
 
@@ -358,7 +359,6 @@ load_datasets <- function(recipe) {
   obs <- as.s2dv_cube(obs)
   )
 
-
 #-------------------------------------------
 # Step 4. Verify the consistance between data
 #-------------------------------------------
-- 
GitLab


From cc0be2e9f75bd786a97b3aff0cdb0f48c5f5c3d7 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Tue, 13 Dec 2022 08:14:53 +0100
Subject: [PATCH 02/84] Correct time attributes

---
 tests/testthat/test-decadal_daily_1.R   | 12 ++++++------
 tests/testthat/test-decadal_monthly_1.R | 10 +++++-----
 tests/testthat/test-decadal_monthly_2.R | 10 +++++-----
 tests/testthat/test-decadal_monthly_3.R | 10 +++++-----
 tests/testthat/test-seasonal_daily.R    | 10 +++++-----
 tests/testthat/test-seasonal_monthly.R  | 10 +++++-----
 6 files changed, 31 insertions(+), 31 deletions(-)

diff --git a/tests/testthat/test-decadal_daily_1.R b/tests/testthat/test-decadal_daily_1.R
index c9833d2b..264371f7 100644
--- a/tests/testthat/test-decadal_daily_1.R
+++ b/tests/testthat/test-decadal_daily_1.R
@@ -72,7 +72,7 @@ dim(data$fcst$data),
 c(dat = 1, var = 1, sday = 1, sweek = 1, syear = 2, time = 90, latitude = 7, longitude = 11, ensemble = 3)
 )
 expect_equal(
-dim(data$hcst$Dates$start),
+dim(data$hcst$attrs$Dates),
 c(sday = 1, sweek = 1, syear = 3, time = 90)
 )
 # hcst data
@@ -111,23 +111,23 @@ tolerance = 0.0001
 
 # time value
 expect_equal(
-(data$hcst$Dates$start)[1],
+(data$hcst$attrs$Dates)[1],
 as.POSIXct("1991-01-01 12:00:00", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[2],
+(data$hcst$attrs$Dates)[2],
 as.POSIXct("1992-01-01 12:00:00", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[5],
+(data$hcst$attrs$Dates)[5],
 as.POSIXct("1992-01-02 12:00:00", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[1, 1, 3, 90],
+(data$hcst$attrs$Dates)[1, 1, 3, 90],
 as.POSIXct("1993-03-31 12:00:00", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[1, 1, 2, 90],
+(data$hcst$attrs$Dates)[1, 1, 2, 90],
 as.POSIXct("1992-03-30 12:00:00", tz = 'UTC')
 )
 
diff --git a/tests/testthat/test-decadal_monthly_1.R b/tests/testthat/test-decadal_monthly_1.R
index 5cf1922e..249bcc6e 100644
--- a/tests/testthat/test-decadal_monthly_1.R
+++ b/tests/testthat/test-decadal_monthly_1.R
@@ -91,7 +91,7 @@ dim(data$fcst$data),
 c(dat = 1, var = 1, sday = 1, sweek = 1, syear = 1, time = 3, latitude = 5, longitude = 4, ensemble = 2)
 )
 expect_equal(
-dim(data$hcst$Dates$start),
+dim(data$hcst$attr$Dates),
 c(sday = 1, sweek = 1, syear = 4, time = 3)
 )
 expect_equal(
@@ -110,19 +110,19 @@ c(281.7395, 294.2467),
 tolerance = 0.0001
 )
 expect_equal(
-(data$hcst$Dates$start)[1],
+(data$hcst$attrs$Dates)[1],
 as.POSIXct("1991-11-16", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[2],
+(data$hcst$attrs$Dates)[2],
 as.POSIXct("1992-11-16", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[5],
+(data$hcst$attrs$Dates)[5],
 as.POSIXct("1991-12-16 12:00:00", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[10],
+(data$hcst$attrs$Dates)[10],
 as.POSIXct("1993-01-16 12:00:00", tz = 'UTC')
 )
 
diff --git a/tests/testthat/test-decadal_monthly_2.R b/tests/testthat/test-decadal_monthly_2.R
index 4dd72ebf..7e9f74b4 100644
--- a/tests/testthat/test-decadal_monthly_2.R
+++ b/tests/testthat/test-decadal_monthly_2.R
@@ -73,7 +73,7 @@ dim(data$fcst$data),
 c(dat = 1, var = 1, sday = 1, sweek = 1, syear = 2, time = 14, latitude = 8, longitude = 5, ensemble = 3)
 )
 expect_equal(
-dim(data$hcst$Dates$start),
+dim(data$hcst$attrs$Dates),
 c(sday = 1, sweek = 1, syear = 3, time = 14)
 )
 #expect_equal(
@@ -109,19 +109,19 @@ tolerance = 0.0001
 )
 
 expect_equal(
-(data$hcst$Dates$start)[1],
+(data$hcst$attrs$Dates)[1],
 as.POSIXct("1990-11-16", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[2],
+(data$hcst$attrs$Dates)[2],
 as.POSIXct("1991-11-16", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[5],
+(data$hcst$attrs$Dates)[5],
 as.POSIXct("1991-12-16 12:00:00", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[10],
+(data$hcst$attrs$Dates)[10],
 as.POSIXct("1991-02-15", tz = 'UTC')
 )
 
diff --git a/tests/testthat/test-decadal_monthly_3.R b/tests/testthat/test-decadal_monthly_3.R
index 7535e8dc..042f2055 100644
--- a/tests/testthat/test-decadal_monthly_3.R
+++ b/tests/testthat/test-decadal_monthly_3.R
@@ -66,7 +66,7 @@ dim(data$hcst$data),
 c(dat = 1, var = 1, sday = 1, sweek = 1, syear = 4, time = 3, latitude = 25, longitude = 16, ensemble = 3)
 )
 expect_equal(
-dim(data$hcst$Dates$start),
+dim(data$hcst$attrs$Dates),
 c(sday = 1, sweek = 1, syear = 4, time = 3)
 )
 # hcst data
@@ -87,19 +87,19 @@ tolerance = 0.0001
 )
 
 expect_equal(
-(data$hcst$Dates$start)[1],
+(data$hcst$attrs$Dates)[1],
 as.POSIXct("2016-04-16", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[2],
+(data$hcst$attrs$Dates)[2],
 as.POSIXct("2017-04-16", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[5],
+(data$hcst$attrs$Dates)[5],
 as.POSIXct("2016-05-16 12:00:00", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[12],
+(data$hcst$attrs$Dates)[12],
 as.POSIXct("2019-06-16", tz = 'UTC')
 )
 
diff --git a/tests/testthat/test-seasonal_daily.R b/tests/testthat/test-seasonal_daily.R
index 5b771d77..89686ad3 100644
--- a/tests/testthat/test-seasonal_daily.R
+++ b/tests/testthat/test-seasonal_daily.R
@@ -61,7 +61,7 @@ dim(data$obs$data),
 c(dat = 1, var = 1, sday = 1, sweek = 1, syear = 4, time = 31, latitude = 4, longitude = 4, ensemble = 1)
 )
 expect_equal(
-dim(data$obs$Dates$start),
+dim(data$obs$attrs$Dates),
 c(sday = 1, sweek = 1, syear = 4, time = 31)
 )
 expect_equal(
@@ -80,19 +80,19 @@ c(280.1490, 298.2324),
 tolerance = 0.0001
 )
 expect_equal(
-(data$hcst$Dates$start)[1],
+(data$hcst$attrs$Dates)[1],
 as.POSIXct("1993-12-01 18:00:00 UTC", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[2],
+(data$hcst$attrs$Dates)[2],
 as.POSIXct("1994-12-01 18:00:00 UTC", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[5],
+(data$hcst$attrs$Dates)[5],
 as.POSIXct("1993-12-02 18:00:00 UTC", tz = 'UTC')
 )
 expect_equal(
-(data$obs$Dates$start)[10],
+(data$obs$attrs$Dates)[10],
 as.POSIXct("1994-12-03 11:30:00 UTC", tz = 'UTC')
 )
 
diff --git a/tests/testthat/test-seasonal_monthly.R b/tests/testthat/test-seasonal_monthly.R
index 86feedfb..2052bfab 100644
--- a/tests/testthat/test-seasonal_monthly.R
+++ b/tests/testthat/test-seasonal_monthly.R
@@ -88,7 +88,7 @@ dim(data$fcst$data),
 c(dat = 1, var = 1, sday = 1, sweek = 1, syear = 1, time = 3, latitude = 3, longitude = 3, ensemble = 51)
 )
 expect_equal(
-dim(data$hcst$Dates$start),
+dim(data$hcst$attrs$Dates),
 c(sday = 1, sweek = 1, syear = 4, time = 3)
 )
 expect_equal(
@@ -107,19 +107,19 @@ c(284.7413, 299.6219),
 tolerance = 0.0001
 )
 expect_equal(
-(data$hcst$Dates$start)[1],
+(data$hcst$attrs$Dates)[1],
 as.POSIXct("1993-12-01", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[2],
+(data$hcst$attrs$Dates)[2],
 as.POSIXct("1994-12-01", tz = 'UTC')
 )
 expect_equal(
-(data$hcst$Dates$start)[5],
+(data$hcst$attrs$Dates)[5],
 as.POSIXct("1994-01-01", tz = 'UTC')
 )
 expect_equal(
-(data$obs$Dates$start)[10],
+(data$obs$attrs$Dates)[10],
 as.POSIXct("1995-02-14", tz = 'UTC')
 )
 
-- 
GitLab


From 50a70879ce2171fd5c97f035f641e6c4d623e423 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Tue, 13 Dec 2022 08:20:45 +0100
Subject: [PATCH 03/84] Correct s2dv_cube list name

---
 tests/testthat/test-decadal_daily_1.R   | 2 +-
 tests/testthat/test-decadal_monthly_1.R | 2 +-
 tests/testthat/test-decadal_monthly_2.R | 2 +-
 tests/testthat/test-decadal_monthly_3.R | 2 +-
 tests/testthat/test-seasonal_daily.R    | 2 +-
 tests/testthat/test-seasonal_monthly.R  | 2 +-
 6 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/tests/testthat/test-decadal_daily_1.R b/tests/testthat/test-decadal_daily_1.R
index 264371f7..400b864d 100644
--- a/tests/testthat/test-decadal_daily_1.R
+++ b/tests/testthat/test-decadal_daily_1.R
@@ -53,7 +53,7 @@ class(data$obs),
 )
 expect_equal(
 names(data$hcst),
-c("data", "lon", "lat", "Variable", "Datasets", "Dates", "when", "source_files", "load_parameters")
+c("data", "dims", "coords", "attrs")
 )
 expect_equal(
 names(data$hcst),
diff --git a/tests/testthat/test-decadal_monthly_1.R b/tests/testthat/test-decadal_monthly_1.R
index 249bcc6e..69b51b06 100644
--- a/tests/testthat/test-decadal_monthly_1.R
+++ b/tests/testthat/test-decadal_monthly_1.R
@@ -72,7 +72,7 @@ class(data$obs),
 )
 expect_equal(
 names(data$hcst),
-c("data", "lon", "lat", "Variable", "Datasets", "Dates", "when", "source_files", "load_parameters")
+c("data", "dims", "coords", "attrs")
 )
 expect_equal(
 names(data$hcst),
diff --git a/tests/testthat/test-decadal_monthly_2.R b/tests/testthat/test-decadal_monthly_2.R
index 7e9f74b4..c0860fd4 100644
--- a/tests/testthat/test-decadal_monthly_2.R
+++ b/tests/testthat/test-decadal_monthly_2.R
@@ -54,7 +54,7 @@ class(data$obs),
 )
 expect_equal(
 names(data$hcst),
-c("data", "lon", "lat", "Variable", "Datasets", "Dates", "when", "source_files", "load_parameters")
+c("data", "dims", "coords", "attrs")
 )
 expect_equal(
 names(data$hcst),
diff --git a/tests/testthat/test-decadal_monthly_3.R b/tests/testthat/test-decadal_monthly_3.R
index 042f2055..c1e9a8af 100644
--- a/tests/testthat/test-decadal_monthly_3.R
+++ b/tests/testthat/test-decadal_monthly_3.R
@@ -55,7 +55,7 @@ class(data$obs),
 )
 expect_equal(
 names(data$hcst),
-c("data", "lon", "lat", "Variable", "Datasets", "Dates", "when", "source_files", "load_parameters")
+c("data", "dims", "coords", "attrs")
 )
 expect_equal(
 names(data$hcst),
diff --git a/tests/testthat/test-seasonal_daily.R b/tests/testthat/test-seasonal_daily.R
index 89686ad3..cf403a47 100644
--- a/tests/testthat/test-seasonal_daily.R
+++ b/tests/testthat/test-seasonal_daily.R
@@ -46,7 +46,7 @@ class(data$obs),
 )
 expect_equal(
 names(data$hcst),
-c("data", "lon", "lat", "Variable", "Datasets", "Dates", "when", "source_files", "load_parameters")
+c("data", "dims", "coords", "attrs")
 )
 expect_equal(
 names(data$hcst),
diff --git a/tests/testthat/test-seasonal_monthly.R b/tests/testthat/test-seasonal_monthly.R
index 2052bfab..e8b661b6 100644
--- a/tests/testthat/test-seasonal_monthly.R
+++ b/tests/testthat/test-seasonal_monthly.R
@@ -69,7 +69,7 @@ class(data$obs),
 )
 expect_equal(
 names(data$hcst),
-c("data", "lon", "lat", "Variable", "Datasets", "Dates", "when", "source_files", "load_parameters")
+c("data", "dims", "coords", "attrs")
 )
 expect_equal(
 names(data$hcst),
-- 
GitLab


From 908dcf20f92d79372fa3ceaee5a849c758ba8f0a Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Tue, 13 Dec 2022 08:33:52 +0100
Subject: [PATCH 04/84] Correct time attributes

---
 modules/Loading/Loading_decadal.R     |  4 ++--
 modules/Saving/Saving.R               | 20 ++++++++++----------
 modules/Visualization/Visualization.R |  6 +++---
 tools/data_summary.R                  |  6 +++---
 4 files changed, 18 insertions(+), 18 deletions(-)

diff --git a/modules/Loading/Loading_decadal.R b/modules/Loading/Loading_decadal.R
index 394d29ff..d8715ba8 100644
--- a/modules/Loading/Loading_decadal.R
+++ b/modules/Loading/Loading_decadal.R
@@ -378,8 +378,8 @@ load_datasets <- function(recipe) {
   }
 
   # time attribute
-  if (!identical(format(hcst$Dates$start, '%Y%m'),
-                 format(obs$Dates$start, '%Y%m'))) {
+  if (!identical(format(hcst$attrs$Dates, '%Y%m'),
+                 format(obs$attrs$Dates, '%Y%m'))) {
     error(recipe$Run$logger,
 	  "hcst and obs don't share the same time.")
     stop()
diff --git a/modules/Saving/Saving.R b/modules/Saving/Saving.R
index 961bacee..e49e9781 100644
--- a/modules/Saving/Saving.R
+++ b/modules/Saving/Saving.R
@@ -183,7 +183,7 @@ save_forecast <- function(data_cube,
 #  }
   
   # Generate vector containing leadtimes
-  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$Dates$start, 'syear', 1),
+  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$attrs$Dates, 'syear', 1),
 		    cal = calendar)
   if (fcst.horizon == 'decadal') {
     # Method 1: Use the first date as init_date. But it may be better to use the real initialized date (ask users)
@@ -216,7 +216,7 @@ save_forecast <- function(data_cube,
 
   syears <- seq(1:dim(data_cube$data)['syear'][[1]])
   # expect dim = [sday = 1, sweek = 1, syear, time]
-  syears_val <- lubridate::year(data_cube$Dates$start[1, 1, , 1])
+  syears_val <- lubridate::year(data_cube$attrs$Dates[1, 1, , 1])
   for (i in syears) {
     # Select year from array and rearrange dimensions
     fcst <- ClimProjDiags::Subset(data_cube$data, 'syear', i, drop = T)
@@ -318,7 +318,7 @@ save_observations <- function(data_cube,
   
   # Generate vector containing leadtimes
   ## TODO: Move to a separate function?
-  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$Dates$start, 'syear', 1),
+  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$attrs$Dates, 'syear', 1),
 		    cal = calendar)
   if (fcst.horizon == 'decadal') {
     # Method 1: Use the first date as init_date. But it may be better to use the real initialized date (ask users)
@@ -339,7 +339,7 @@ save_observations <- function(data_cube,
 
   syears <- seq(1:dim(data_cube$data)['syear'][[1]])
   ## expect dim = [sday = 1, sweek = 1, syear, time]
-  syears_val <- lubridate::year(data_cube$Dates$start[1, 1, , 1])
+  syears_val <- lubridate::year(data_cube$attrs$Dates[1, 1, , 1])
   for (i in syears) {
     # Select year from array and rearrange dimensions
     fcst <- ClimProjDiags::Subset(data_cube$data, 'syear', i, drop = T)
@@ -390,7 +390,7 @@ save_observations <- function(data_cube,
         fcst.sdate <- data_cube$load_parameters$dat1$file_date[[1]][i]
         fcst.sdate <- as.Date(paste0(fcst.sdate, "01"), '%Y%m%d')
       } else {
-        fcst.sdate <- as.Date(data_cube$Dates$start[i])
+        fcst.sdate <- as.Date(data_cube$attrs$Dates[i])
       }
     }
 
@@ -485,7 +485,7 @@ save_metrics <- function(skill,
   calendar <- archive$System[[global_attributes$system]]$calendar
 
   # Generate vector containing leadtimes
-  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$Dates$start, 'syear', 1),
+  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$attrs$Dates, 'syear', 1),
 		    cal = calendar)
 
   if (fcst.horizon == 'decadal') {
@@ -592,7 +592,7 @@ save_corr <- function(skill,
   calendar <- archive$System[[global_attributes$system]]$calendar
   
   # Generate vector containing leadtimes
-  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$Dates$start, 'syear', 1),
+  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$attrs$Dates, 'syear', 1),
 		    cal = calendar)
   if (fcst.horizon == 'decadal') {
     init_month <- archive$System[[recipe$Analysis$Datasets$System$name]]$initial_month
@@ -691,7 +691,7 @@ save_percentiles <- function(percentiles,
   store.freq <- recipe$Analysis$Variables$freq
   calendar <- archive$System[[global_attributes$system]]$calendar
   # Generate vector containing leadtimes
-  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$Dates$start, 'syear', 1),
+  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$attrs$Dates, 'syear', 1),
 		    cal = calendar)
   if (fcst.horizon == 'decadal') {
     init_month <- archive$System[[recipe$Analysis$Datasets$System$name]]$initial_month
@@ -775,7 +775,7 @@ save_probabilities <- function(probs,
 
   # Generate vector containing leadtimes
   ## TODO: Move to a separate function?
-  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$Dates$start, 'syear', 1),
+  dates <- as.PCICt(ClimProjDiags::Subset(data_cube$attrs$Dates, 'syear', 1),
 		    cal = calendar)
   if (fcst.horizon == 'decadal') {
     init_month <- archive$System[[recipe$Analysis$Datasets$System$name]]$initial_month
@@ -793,7 +793,7 @@ save_probabilities <- function(probs,
 
   syears <- seq(1:dim(data_cube$data)['syear'][[1]])
   ## expect dim = [sday = 1, sweek = 1, syear, time]
-  syears_val <- lubridate::year(data_cube$Dates$start[1, 1, , 1])
+  syears_val <- lubridate::year(data_cube$attrs$Dates[1, 1, , 1])
   for (i in syears) {
     # Select year from array and rearrange dimensions
     probs_syear <- lapply(probs, ClimProjDiags::Subset, 'syear', i, drop = 'selected')
diff --git a/modules/Visualization/Visualization.R b/modules/Visualization/Visualization.R
index 2d50a1a0..ff9b4981 100644
--- a/modules/Visualization/Visualization.R
+++ b/modules/Visualization/Visualization.R
@@ -168,7 +168,7 @@ plot_skill_metrics <- function(recipe, archive, data_cube, skill_metrics,
     outfile <- paste0(outdir, name, ".png")
     toptitle <- paste(display_name, "-", data_cube$Variable$varName,
       		 "-", system_name, "-", init_month, hcst_period)
-    months <- unique(lubridate::month(data_cube$Dates$start,
+    months <- unique(lubridate::month(data_cube$attrs$Dates,
       			              label = T, abb = F))
     titles <- as.vector(months)
     # Plot
@@ -247,7 +247,7 @@ plot_ensemble_mean <- function(recipe, archive, fcst, outdir) {
     }
     toptitle <- paste("Forecast Ensemble Mean -", variable, "-", system_name,
   	  	      "- Initialization:", i_syear)
-    months <- lubridate::month(fcst$Dates$start[1, 1, which(start_date == i_syear), ],
+    months <- lubridate::month(fcst$attrs$Dates[1, 1, which(start_date == i_syear), ],
                                label = T, abb = F)
     titles <- as.vector(months)
     # Plots
@@ -326,7 +326,7 @@ plot_most_likely_terciles <- function(recipe, archive,
     }
     toptitle <- paste("Most Likely Tercile -", variable, "-", system_name, "-",
  		      "Initialization:", i_syear)
-    months <- lubridate::month(fcst$Dates$start[1, 1, which(start_date == i_syear), ],
+    months <- lubridate::month(fcst$attrs$Dates[1, 1, which(start_date == i_syear), ],
 	  	               label = T, abb = F)
     ## TODO: Ensure this works for daily and sub-daily cases
     titles <- as.vector(months)
diff --git a/tools/data_summary.R b/tools/data_summary.R
index 34b6bd6e..8fffd3b4 100644
--- a/tools/data_summary.R
+++ b/tools/data_summary.R
@@ -12,10 +12,10 @@ data_summary <- function(data_cube, recipe) {
   } else if (recipe$Analysis$Variables$freq == "daily_mean") {
     date_format <- '%b %d %Y'
   }
-  months <- unique(format(as.Date(data_cube$Dates[[1]]), format = '%B'))
+  months <- unique(format(as.Date(data_cube$attrs$Dates[[1]]), format = '%B'))
   months <- paste(as.character(months), collapse=", ")
-  sdate_min <- format(min(as.Date(data_cube$Dates[[1]])), format = date_format)
-  sdate_max <- format(max(as.Date(data_cube$Dates[[1]])), format = date_format)
+  sdate_min <- format(min(as.Date(data_cube$attrs$Dates[[1]])), format = date_format)
+  sdate_max <- format(max(as.Date(data_cube$attrs$Dates[[1]])), format = date_format)
   
   # Create log instance and sink output to logfile and terminal
   info(recipe$Run$logger, "DATA SUMMARY:")
-- 
GitLab


From 4bc28d1a46349d496fd3b53dd4f5cd1b924cdf67 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Wed, 14 Dec 2022 06:32:22 +0100
Subject: [PATCH 05/84] Correct varName attributes

---
 modules/Saving/Saving.R | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/modules/Saving/Saving.R b/modules/Saving/Saving.R
index e49e9781..c7a26a57 100644
--- a/modules/Saving/Saving.R
+++ b/modules/Saving/Saving.R
@@ -170,7 +170,7 @@ save_forecast <- function(data_cube,
 
   lalo <- c('longitude', 'latitude')
   
-  variable <- data_cube$Variable$varName
+  variable <- data_cube$attrs$Variable$varName
   var.longname <- attr(data_cube$Variable, 'variable')$long_name
   global_attributes <- get_global_attributes(recipe, archive)
   fcst.horizon <- tolower(recipe$Analysis$Horizon)
@@ -273,7 +273,7 @@ save_forecast <- function(data_cube,
     time <- times$time
 
     # Generate name of output file
-    outfile <- get_filename(outdir, recipe, data_cube$Variable$varName,
+    outfile <- get_filename(outdir, recipe, data_cube$attrs$Variable$varName,
   			    fcst.sdate, agg, "exp")
   
     # Get grid data and metadata and export to netCDF
@@ -309,7 +309,7 @@ save_observations <- function(data_cube,
 
   lalo <- c('longitude', 'latitude')
   
-  variable <- data_cube$Variable$varName
+  variable <- data_cube$attrs$Variable$varName
   var.longname <- attr(data_cube$Variable, 'variable')$long_name
   global_attributes <- get_global_attributes(recipe, archive)
   fcst.horizon <- tolower(recipe$Analysis$Horizon)
@@ -408,7 +408,7 @@ save_observations <- function(data_cube,
     time <- times$time
 
     # Generate name of output file
-    outfile <- get_filename(outdir, recipe, data_cube$Variable$varName,
+    outfile <- get_filename(outdir, recipe, data_cube$attrs$Variable$varName,
   			    fcst.sdate, agg, "obs")
   
     # Get grid data and metadata and export to netCDF
@@ -525,7 +525,7 @@ save_metrics <- function(skill,
   time <- times$time
 
   # Generate name of output file
-  outfile <- get_filename(outdir, recipe, data_cube$Variable$varName,
+  outfile <- get_filename(outdir, recipe, data_cube$attrs$Variable$varName,
 			  fcst.sdate, agg, "skill")
 
   # Get grid data and metadata and export to netCDF
@@ -631,7 +631,7 @@ save_corr <- function(skill,
   time <- times$time
 
   # Generate name of output file
-  outfile <- get_filename(outdir, recipe, data_cube$Variable$varName,
+  outfile <- get_filename(outdir, recipe, data_cube$attrs$Variable$varName,
 			  fcst.sdate, agg,  "corr")
 
   # Get grid data and metadata and export to netCDF
@@ -730,7 +730,7 @@ save_percentiles <- function(percentiles,
   time <- times$time
 
   # Generate name of output file
-  outfile <- get_filename(outdir, recipe, data_cube$Variable$varName,
+  outfile <- get_filename(outdir, recipe, data_cube$attrs$Variable$varName,
 			  fcst.sdate, agg, "percentiles")
 
   # Get grid data and metadata and export to netCDF
@@ -766,7 +766,7 @@ save_probabilities <- function(probs,
 
   lalo <- c('longitude', 'latitude')
   
-  variable <- data_cube$Variable$varName
+  variable <- data_cube$attrs$Variable$varName
   var.longname <- attr(data_cube$Variable, 'variable')$long_name
   global_attributes <- get_global_attributes(recipe, archive)
   fcst.horizon <- tolower(recipe$Analysis$Horizon)
@@ -837,7 +837,7 @@ save_probabilities <- function(probs,
     time <- times$time
 
     # Generate name of output file
-    outfile <- get_filename(outdir, recipe, data_cube$Variable$varName,
+    outfile <- get_filename(outdir, recipe, data_cube$attrs$Variable$varName,
   			    fcst.sdate, agg, "probs")
   
     # Get grid data and metadata and export to netCDF
-- 
GitLab


From a483ea10d1c55eb3ee3c9de325ab4aca84aae315 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Wed, 14 Dec 2022 06:44:40 +0100
Subject: [PATCH 06/84] Change lat/lon attributes level

---
 modules/Saving/Saving.R | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/modules/Saving/Saving.R b/modules/Saving/Saving.R
index c7a26a57..77c6ad03 100644
--- a/modules/Saving/Saving.R
+++ b/modules/Saving/Saving.R
@@ -281,8 +281,8 @@ save_forecast <- function(data_cube,
       country <- get_countries(grid)
       ArrayToNc(append(country, time, fcst), outfile)
     } else {
-      latitude <- data_cube$lat[1:length(data_cube$lat)]
-      longitude <- data_cube$lon[1:length(data_cube$lon)]
+      latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
+      longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
       latlon <- get_latlon(latitude, longitude)
       # Compile variables into a list and export to netCDF
       vars <- list(latlon$lat, latlon$lon, time)
@@ -416,8 +416,8 @@ save_observations <- function(data_cube,
       country <- get_countries(grid)
       ArrayToNc(append(country, time, fcst), outfile)
     } else {
-      latitude <- data_cube$lat[1:length(data_cube$lat)]
-      longitude <- data_cube$lon[1:length(data_cube$lon)]
+      latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
+      longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
       latlon <- get_latlon(latitude, longitude)
       # Compile variables into a list and export to netCDF
       vars <- list(latlon$lat, latlon$lon, time)
@@ -533,8 +533,8 @@ save_metrics <- function(skill,
     country <- get_countries(grid)
     ArrayToNc(append(country, time, skill), outfile)
   } else {
-    latitude <- data_cube$lat[1:length(data_cube$lat)]
-    longitude <- data_cube$lon[1:length(data_cube$lon)]
+    latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
+    longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
     latlon <- get_latlon(latitude, longitude)
     # Compile variables into a list and export to netCDF
     vars <- list(latlon$lat, latlon$lon, time)
@@ -639,8 +639,8 @@ save_corr <- function(skill,
     country <- get_countries(grid)
     ArrayToNc(append(country, time, skill), outfile)
   } else {
-    latitude <- data_cube$lat[1:length(data_cube$lat)]
-    longitude <- data_cube$lon[1:length(data_cube$lon)]
+    latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
+    longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
     latlon <- get_latlon(latitude, longitude)
     # Compile variables into a list and export to netCDF
     vars <- list(latlon$lat, latlon$lon, time)
@@ -738,8 +738,8 @@ save_percentiles <- function(percentiles,
     country <- get_countries(grid)
     ArrayToNc(append(country, time, percentiles), outfile)
   } else {
-    latitude <- data_cube$lat[1:length(data_cube$lat)]
-    longitude <- data_cube$lon[1:length(data_cube$lon)]
+    latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
+    longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
     latlon <- get_latlon(latitude, longitude)
     # Compile variables into a list and export to netCDF
     vars <- list(latlon$lat, latlon$lon, time)
@@ -845,8 +845,8 @@ save_probabilities <- function(probs,
       country <- get_countries(grid)
       ArrayToNc(append(country, time, probs_syear), outfile)
     } else {
-      latitude <- data_cube$lat[1:length(data_cube$lat)]
-      longitude <- data_cube$lon[1:length(data_cube$lon)]
+      latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
+      longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
       latlon <- get_latlon(latitude, longitude)
       # Compile variables into a list and export to netCDF
       vars <- list(latlon$lat, latlon$lon, time)
-- 
GitLab


From 95fa10cc86e47db4dcaf6d8fd17807cb7699a295 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Wed, 14 Dec 2022 07:17:57 +0100
Subject: [PATCH 07/84] Crrect attributes levels

---
 modules/Saving/Saving.R | 42 ++++++++++++++++++++---------------------
 1 file changed, 21 insertions(+), 21 deletions(-)

diff --git a/modules/Saving/Saving.R b/modules/Saving/Saving.R
index 77c6ad03..5246b320 100644
--- a/modules/Saving/Saving.R
+++ b/modules/Saving/Saving.R
@@ -171,7 +171,7 @@ save_forecast <- function(data_cube,
   lalo <- c('longitude', 'latitude')
   
   variable <- data_cube$attrs$Variable$varName
-  var.longname <- attr(data_cube$Variable, 'variable')$long_name
+  var.longname <- data_cube$attrs$Variable$variables[[variable]]$long_name
   global_attributes <- get_global_attributes(recipe, archive)
   fcst.horizon <- tolower(recipe$Analysis$Horizon)
   store.freq <- recipe$Analysis$Variables$freq
@@ -241,7 +241,7 @@ save_forecast <- function(data_cube,
       dims <- c(lalo, 'ensemble', 'time')
       var.expname <- variable
       var.sdname <- var.sdname
-      var.units <- attr(data_cube$Variable, 'variable')$units
+      var.units <- data_cube$attrs$Variable$variables[[variable]]$units
     }
   
     metadata <- list(fcst = list(name = var.expname,
@@ -265,7 +265,7 @@ save_forecast <- function(data_cube,
       fcst.sdate <- format(fcst.sdate, '%Y%m%d')
 
     } else {
-      fcst.sdate <- data_cube$load_parameters$dat1$file_date[[1]][i]
+      fcst.sdate <- data_cube$attrs$load_parameters$dat1$file_date[[1]][i]
     }
 
     # Get time dimension values and metadata
@@ -281,8 +281,8 @@ save_forecast <- function(data_cube,
       country <- get_countries(grid)
       ArrayToNc(append(country, time, fcst), outfile)
     } else {
-      latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
-      longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
+      latitude <- data_cube$coords$lat[1:length(data_cube$coords$lat)]
+      longitude <- data_cube$coords$lon[1:length(data_cube$coords$lon)]
       latlon <- get_latlon(latitude, longitude)
       # Compile variables into a list and export to netCDF
       vars <- list(latlon$lat, latlon$lon, time)
@@ -310,7 +310,7 @@ save_observations <- function(data_cube,
   lalo <- c('longitude', 'latitude')
   
   variable <- data_cube$attrs$Variable$varName
-  var.longname <- attr(data_cube$Variable, 'variable')$long_name
+  var.longname <- data_cube$attrs$Variable$variables[[variable]]$long_name
   global_attributes <- get_global_attributes(recipe, archive)
   fcst.horizon <- tolower(recipe$Analysis$Horizon)
   store.freq <- recipe$Analysis$Variables$freq
@@ -359,11 +359,11 @@ save_observations <- function(data_cube,
       dims <- c('Country', 'time')
       var.expname <- paste0(variable, '_country') 
       var.longname <- paste0("Country-Aggregated ", var.longname)
-      var.units <- attr(data_cube$Variable, 'variable')$units
+      var.units <- data_cube$attrs$Variable$variables[[variable]]$units
     } else {
       dims <- c(lalo, 'time')
       var.expname <- variable
-      var.units <- attr(data_cube$Variable, 'variable')$units
+      var.units <- data_cube$attrs$Variable$variables[[variable]]$units
     }
   
     metadata <- list(fcst = list(name = var.expname,
@@ -387,7 +387,7 @@ save_observations <- function(data_cube,
     } else {
 
       if (store.freq == "monthly_mean") {
-        fcst.sdate <- data_cube$load_parameters$dat1$file_date[[1]][i]
+        fcst.sdate <- data_cube$attrs$load_parameters$dat1$file_date[[1]][i]
         fcst.sdate <- as.Date(paste0(fcst.sdate, "01"), '%Y%m%d')
       } else {
         fcst.sdate <- as.Date(data_cube$attrs$Dates[i])
@@ -416,8 +416,8 @@ save_observations <- function(data_cube,
       country <- get_countries(grid)
       ArrayToNc(append(country, time, fcst), outfile)
     } else {
-      latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
-      longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
+      latitude <- data_cube$coords$lat[1:length(data_cube$coords$lat)]
+      longitude <- data_cube$coords$lon[1:length(data_cube$coords$lon)]
       latlon <- get_latlon(latitude, longitude)
       # Compile variables into a list and export to netCDF
       vars <- list(latlon$lat, latlon$lon, time)
@@ -533,8 +533,8 @@ save_metrics <- function(skill,
     country <- get_countries(grid)
     ArrayToNc(append(country, time, skill), outfile)
   } else {
-    latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
-    longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
+    latitude <- data_cube$coords$lat[1:length(data_cube$coords$lat)]
+    longitude <- data_cube$coords$lon[1:length(data_cube$coords$lon)]
     latlon <- get_latlon(latitude, longitude)
     # Compile variables into a list and export to netCDF
     vars <- list(latlon$lat, latlon$lon, time)
@@ -639,8 +639,8 @@ save_corr <- function(skill,
     country <- get_countries(grid)
     ArrayToNc(append(country, time, skill), outfile)
   } else {
-    latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
-    longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
+    latitude <- data_cube$coords$lat[1:length(data_cube$coords$lat)]
+    longitude <- data_cube$coords$lon[1:length(data_cube$coords$lon)]
     latlon <- get_latlon(latitude, longitude)
     # Compile variables into a list and export to netCDF
     vars <- list(latlon$lat, latlon$lon, time)
@@ -738,8 +738,8 @@ save_percentiles <- function(percentiles,
     country <- get_countries(grid)
     ArrayToNc(append(country, time, percentiles), outfile)
   } else {
-    latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
-    longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
+    latitude <- data_cube$coords$lat[1:length(data_cube$coords$lat)]
+    longitude <- data_cube$coords$lon[1:length(data_cube$coords$lon)]
     latlon <- get_latlon(latitude, longitude)
     # Compile variables into a list and export to netCDF
     vars <- list(latlon$lat, latlon$lon, time)
@@ -767,7 +767,7 @@ save_probabilities <- function(probs,
   lalo <- c('longitude', 'latitude')
   
   variable <- data_cube$attrs$Variable$varName
-  var.longname <- attr(data_cube$Variable, 'variable')$long_name
+  var.longname <- data_cube$attrs$Variable$variables[[variable]]$long_name
   global_attributes <- get_global_attributes(recipe, archive)
   fcst.horizon <- tolower(recipe$Analysis$Horizon)
   store.freq <- recipe$Analysis$Variables$freq
@@ -829,7 +829,7 @@ save_probabilities <- function(probs,
       fcst.sdate <- init_date + lubridate::years(syears_val[i] - lubridate::year(init_date))
       fcst.sdate <- format(fcst.sdate, '%Y%m%d')
     } else {
-      fcst.sdate <- data_cube$load_parameters$dat1$file_date[[1]][i]
+      fcst.sdate <- data_cube$attrs$load_parameters$dat1$file_date[[1]][i]
     }
 
     # Get time dimension values and metadata
@@ -845,8 +845,8 @@ save_probabilities <- function(probs,
       country <- get_countries(grid)
       ArrayToNc(append(country, time, probs_syear), outfile)
     } else {
-      latitude <- data_cube$coords$lat[1:length(data_cube$lat)]
-      longitude <- data_cube$coords$lon[1:length(data_cube$lon)]
+      latitude <- data_cube$coords$lat[1:length(data_cube$coords$lat)]
+      longitude <- data_cube$coords$lon[1:length(data_cube$coords$lon)]
       latlon <- get_latlon(latitude, longitude)
       # Compile variables into a list and export to netCDF
       vars <- list(latlon$lat, latlon$lon, time)
-- 
GitLab


From 2a5ca81b6a70ec6dc7283631980f5d783a2f4e44 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Wed, 14 Dec 2022 07:24:28 +0100
Subject: [PATCH 08/84] Correct lat/lon attribures level

---
 modules/Visualization/Visualization.R | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/modules/Visualization/Visualization.R b/modules/Visualization/Visualization.R
index ff9b4981..f9498739 100644
--- a/modules/Visualization/Visualization.R
+++ b/modules/Visualization/Visualization.R
@@ -81,8 +81,8 @@ plot_skill_metrics <- function(recipe, archive, data_cube, skill_metrics,
     stop("The element 'skill_metrics' must be a list of named arrays.")
   }
   
-  latitude <- data_cube$lat
-  longitude <- data_cube$lon
+  latitude <- data_cube$coords$lat
+  longitude <- data_cube$coords$lon
   system_name <- archive$System[[recipe$Analysis$Datasets$System$name]]$name
   hcst_period <- paste0(recipe$Analysis$Time$hcst_start, "-",
 			recipe$Analysis$Time$hcst_end)
@@ -166,7 +166,7 @@ plot_skill_metrics <- function(recipe, archive, data_cube, skill_metrics,
     }
     # Define output file name and titles
     outfile <- paste0(outdir, name, ".png")
-    toptitle <- paste(display_name, "-", data_cube$Variable$varName,
+    toptitle <- paste(display_name, "-", data_cube$attrs$Variable$varName,
       		 "-", system_name, "-", init_month, hcst_period)
     months <- unique(lubridate::month(data_cube$attrs$Dates,
       			              label = T, abb = F))
-- 
GitLab


From 32c44e8846cdb6bb56ca5095bff97a8aedd8b8d1 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Wed, 14 Dec 2022 07:52:03 +0100
Subject: [PATCH 09/84] Correct attributes level

---
 modules/Visualization/Visualization.R | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/Visualization/Visualization.R b/modules/Visualization/Visualization.R
index f9498739..b16fb4a7 100644
--- a/modules/Visualization/Visualization.R
+++ b/modules/Visualization/Visualization.R
@@ -201,8 +201,8 @@ plot_ensemble_mean <- function(recipe, archive, fcst, outdir) {
     stop("Visualization functions not yet implemented for daily data.")
   }
 
-  latitude <- fcst$lat
-  longitude <- fcst$lon
+  latitude <- fcst$coords$lat
+  longitude <- fcst$coords$lon
   system_name <- archive$System[[recipe$Analysis$Datasets$System$name]]$name
   variable <- recipe$Analysis$Variables$name
   units <- attr(fcst$Variable, "variable")$units
@@ -278,8 +278,8 @@ plot_most_likely_terciles <- function(recipe, archive,
     stop("Visualization functions not yet implemented for daily data.")
   }
 
-  latitude <- fcst$lat
-  longitude <- fcst$lon
+  latitude <- fcst$coords$lat
+  longitude <- fcst$coords$lon
   system_name <- archive$System[[recipe$Analysis$Datasets$System$name]]$name
   variable <- recipe$Analysis$Variables$name
   start_date <- paste0(recipe$Analysis$Time$fcst_year,
-- 
GitLab


From 086eb3ae63b98477c071579611eee55471d4684e Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Mon, 30 Jan 2023 17:16:05 +0100
Subject: [PATCH 10/84] Adapt Anomalies module

---
 modules/Anomalies/Anomalies.R | 22 ++++++++++++----------
 1 file changed, 12 insertions(+), 10 deletions(-)

diff --git a/modules/Anomalies/Anomalies.R b/modules/Anomalies/Anomalies.R
index 552f895a..41fd286f 100644
--- a/modules/Anomalies/Anomalies.R
+++ b/modules/Anomalies/Anomalies.R
@@ -45,13 +45,14 @@ compute_anomalies <- function(recipe, data) {
     data$obs <- anom$obs
     remove(anom)
     # Change variable metadata
-    # data$hcst$Variable$varName <- paste0(data$hcst$Variable$varName, "anomaly")
-    attr(data$hcst$Variable, "variable")$long_name <- 
-      paste(attr(data$hcst$Variable, "variable")$long_name, "anomaly")
-    # data$obs$Variable$varName <- paste0(data$obs$Variable$varName, "anomaly")
-    attr(data$obs$Variable, "variable")$long_name <-
-      paste(attr(data$obs$Variable, "variable")$long_name, "anomaly")
-
+    for (var in data$hcst$attrs$Variable$varName) {
+      # Change hcst longname
+      data$hcst$attrs$Variable$variables[[var]]$long_name <-
+        paste(data$hcst$attrs$Variable$variables[[var]]$long_name, "anomaly")
+      # Change obs longname
+      data$obs$attrs$Variable$variables[[var]]$long_name <- 
+	paste(data$obs$attrs$Variable$variables[[var]]$long_name, "anomaly")
+    }
     # Compute forecast anomaly field
     if (!is.null(data$fcst)) {
       # Compute hindcast climatology ensemble mean
@@ -70,9 +71,10 @@ compute_anomalies <- function(recipe, data) {
       # Get fcst anomalies
       data$fcst$data <- data$fcst$data - clim_hcst
       # Change metadata
-      # data$fcst$Variable$varName <- paste0(data$fcst$Variable$varName, "anomaly")
-      attr(data$fcst$Variable, "variable")$long_name <- 
-        paste(attr(data$fcst$Variable, "variable")$long_name, "anomaly")
+      for (var in data$fcst$attrs$Variable$varName) {
+	data$fcst$attrs$Variable$variables[[var]]$long_name <-
+	  paste(data$fcst$attrs$Variable$variables[[var]]$long_name, "anomaly")
+      }
     }
 
     info(recipe$Run$logger,
-- 
GitLab


From c235b4932a91ee4d051de89b3196371002aba56d Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 8 Feb 2023 09:51:36 +0100
Subject: [PATCH 11/84] Fix bug in data summary

---
 tools/data_summary.R | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tools/data_summary.R b/tools/data_summary.R
index 49f3c8ea..597f42cb 100644
--- a/tools/data_summary.R
+++ b/tools/data_summary.R
@@ -11,10 +11,10 @@ data_summary <- function(data_cube, recipe) {
   } else if (recipe$Analysis$Variables$freq == "daily_mean") {
     date_format <- '%b %d %Y'
   }
-  months <- unique(format(as.Date(data_cube$attrs$Dates[[1]]), format = '%B'))
+  months <- unique(format(as.Date(data_cube$attrs$Dates), format = '%B'))
   months <- paste(as.character(months), collapse=", ")
-  sdate_min <- format(min(as.Date(data_cube$attrs$Dates[[1]])), format = date_format)
-  sdate_max <- format(max(as.Date(data_cube$attrs$Dates[[1]])), format = date_format)
+  sdate_min <- format(min(as.Date(data_cube$attrs$Dates)), format = date_format)
+  sdate_max <- format(max(as.Date(data_cube$attrs$Dates)), format = date_format)
   
   # Create log instance and sink output to logfile and terminal
   info(recipe$Run$logger, "DATA SUMMARY:")
-- 
GitLab


From 571293eba68fb32b2d334913714c1da1d90714e9 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Tue, 14 Mar 2023 13:05:50 +0100
Subject: [PATCH 12/84] GRIB loading module, testing recipe and script, archive

---
 conf/archive_GRIB.yml                         |  24 ++
 .../griddes_GRIB_system5_m1.txt               | 246 ++++++++++++++
 modules/Loading/GRIB/GrbLoad.R                | 227 +++++++++++++
 modules/Loading/GRIB/s2dv_cube.R              | 227 +++++++++++++
 modules/Loading/Loading_GRIB.R                | 299 ++++++++++++++++++
 .../recipe_GRIB_system5_era5.yml              |  50 +++
 modules/test_GRIB.R                           |  57 ++++
 7 files changed, 1130 insertions(+)
 create mode 100644 conf/archive_GRIB.yml
 create mode 100644 conf/grid_description/griddes_GRIB_system5_m1.txt
 create mode 100644 modules/Loading/GRIB/GrbLoad.R
 create mode 100644 modules/Loading/GRIB/s2dv_cube.R
 create mode 100644 modules/Loading/Loading_GRIB.R
 create mode 100644 modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml
 create mode 100644 modules/test_GRIB.R

diff --git a/conf/archive_GRIB.yml b/conf/archive_GRIB.yml
new file mode 100644
index 00000000..c01e6a11
--- /dev/null
+++ b/conf/archive_GRIB.yml
@@ -0,0 +1,24 @@
+archive:
+    src: "/esarchive/scratch/aho/tmp/GRIB/"  #"/mars/"
+    System:
+        ECMWF-SEAS5:
+            name: "ECMWF SEAS5"
+            institution: "European Centre for Medium-Range Weather Forecasts"
+            src: "GRIB_system5_tas_CORRECTED/"
+            monthly_mean: {"tas":""}
+            nmember:
+              fcst: 51
+              hcst: 51
+            calendar: "proleptic_gregorian"
+            time_stamp_lag: "+1"
+            reference_grid: "conf/grid_description/griddes_GRIB_system5_m1.txt"
+    Reference:
+        ERA5:
+            name: "ERA5"
+            institution: "European Centre for Medium-Range Weather Forecasts"
+            src: "GRIB_era5_tas/"
+            monthly_mean: {"tas":""}
+            calendar: "standard"
+            reference_grid: "conf/grid_description/griddes_GRIB_system5_m1.txt"
+
+
diff --git a/conf/grid_description/griddes_GRIB_system5_m1.txt b/conf/grid_description/griddes_GRIB_system5_m1.txt
new file mode 100644
index 00000000..7e38b73a
--- /dev/null
+++ b/conf/grid_description/griddes_GRIB_system5_m1.txt
@@ -0,0 +1,246 @@
+#
+# gridID system5_m1
+#
+gridtype  = lonlat
+gridsize  = 819200
+xname     = longitude
+xlongname = longitude
+xunits    = degrees_east
+yname     = latitude
+ylongname = latitude
+yunits    = degrees_north
+xsize     = 1280
+ysize     = 640
+xvals     = 0 0.2812502 0.5625004 0.8437506 1.125001 1.406251 1.687501 1.968751 2.250002 
+	2.531252 2.812502 3.093752 3.375002 3.656253 3.937503 4.218753 4.500003 
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diff --git a/modules/Loading/GRIB/GrbLoad.R b/modules/Loading/GRIB/GrbLoad.R
new file mode 100644
index 00000000..2ba86bea
--- /dev/null
+++ b/modules/Loading/GRIB/GrbLoad.R
@@ -0,0 +1,227 @@
+#----------------------------------------------------------------------------------
+# Use gribr package to load GRIB files
+# Assume that all the messages have the same metadata; one message is one time step
+# If exp, has.memb is a number; if obs, has.memb = NULL
+# syear_time_dim is the time attr dim of exp as the input for obs
+#----------------------------------------------------------------------------------
+GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL) {
+
+  library(gribr)
+
+  result <- vector('list', length = length(dat))
+  times <- vector('list', length = length(dat))
+  times <- lapply(times, '[<-', rep(NA, length(time_step))) #NOTE: length is 0 (slower in loop?)
+#  times <- lapply(times, '[<-', .POSIXct(rep(NA, length(time_step)), tz = 'UTC'))
+
+  for (dat_i in 1:length(dat)) {
+
+    file_to_load <- grib_open(dat[[dat_i]])
+
+    #----------------------------------------
+    # HOW TO FIND THE VALUE OF EACH FTIME STEP?
+    #----------------------------------------
+    #NOTE: ValidityTime is not considered now. So if the time frequency is less than daily, it has problem.
+
+    # METHOD 1: Get first message to figure out the validityDate/Time of each message
+    #NOTE: gm1$validityDate should be "s", "m", "h", etc. according to document. But our files have "1".
+    gm1 <- grib_get_message(file_to_load, 1)
+    first_ftime <- as.character(gm1$validityDate)
+    first_ftime_hour <- gm1$validityTime
+    # For monthly data
+    #NOTE: may not be correct because it is calculated by the first message
+    cdo_time_attr <- clock::add_months(as.POSIXct(paste0(first_ftime, ' ', first_ftime_hour), 
+                                       format = "%Y%m%d %H", tz = 'UTC'), time_step - 1)
+    cdo_time <- format(cdo_time_attr, "%Y%m%d") 
+
+#    # METHOD 2: Use cdo showtimestamp (DEPENDENCY!)
+#    #TODO: Change to method 1 because can't predict what cdo will produce
+#    cdo_time <- system(paste0("cdo showtimestamp ", dat[[dat_i]]), intern = T)
+#    cdo_time <- strsplit(cdo_time, " ")[[length(cdo_time)]]
+#    cdo_time <- cdo_time[which(cdo_time != "")]
+##    # Check if there is member dim or not
+##    has_memb <- ifelse((length(unique(cdo_time)) == length(cdo_time)), FALSE, TRUE)
+#    if (has.memb) memb_dim_length <- length(cdo_time)/length(unique(cdo_time))
+#    cdo_time <- unique(cdo_time)[time_step]  #"2000-12-01T00:00:00"
+#    cdo_time_attr <- as.POSIXct(gsub('T', ' ', cdo_time), tz = 'UTC')
+#    cdo_time <- sapply(sapply(cdo_time, strsplit, "T"), '[[', 1)
+#    cdo_time <- gsub('-', '', cdo_time)
+
+    #----------------------------------------
+
+    # all members + ftimes: length should be memb*ftime (e.g., 51*7)
+    ## Method 1: use grib_select and real values to filter
+    memb_ftime <- grib_select(file_to_load, list(validityDate = cdo_time))
+    if (inherits(memb_ftime, 'gribMessage')) memb_ftime <- list(memb_ftime)
+
+#    ## Method 2: Calculate which messages are the desired ones
+#    gm <- grib_get_message(file_to_load, time_step)
+#    if (length(time_step) == 1) {
+#      gm <- list(gm)
+#    }
+
+  ##################################################################
+  # Get data as an array [longitude, latitude, (memb*)time]
+  ##################################################################
+  if (grepl("reduced", memb_ftime[[1]]$gridType)) {
+    #NOTE: Need to call gribr::grib_expand_grids because I don't know how to make .Call("gribr_redtoreg") work outside that function
+    #      https://github.com/nawendt/gribr/blob/main/src/redtoreg.c
+    values_l <- vector('list', length = length(memb_ftime))
+    for (gm_i in 1:length(memb_ftime)) {
+      values_l[[gm_i]] <- grib_expand_grids(memb_ftime[[gm_i]])
+    }
+    result[[dat_i]] <- array(unlist(values_l), dim = c(longitude = memb_ftime[[1]]$Nj * 2, latitude = memb_ftime[[1]]$Nj, time = length(values_l)))
+
+  } else {
+    result[[dat_i]] <- .grib_expand_grids(memb_ftime)
+  }
+
+  ##################################################################
+  # Get metadata
+  ##################################################################
+  ## (1-1) Everything from the first message of first file
+  if (dat_i == 1) {
+    gm1 <- memb_ftime[[1]]
+    ## (1-1) Everything from the first message of first file
+#    dims <- dim(result[[dat_i]])
+#    attributes(result) <- gm1
+#    # turn result into array again
+#    dim(result[[dat_i]]) <- dims
+
+    ## (1-2) Only save the necessary attributes
+    attr(result, 'edition') <- gm1$edition
+    attr(result, 'shortName') <- gm1$shortName
+    #NOTE: Tune varaible name!!
+    if (gm1$shortName == '2t') attr(result, 'shortName') <- 'tas'
+    attr(result, 'name') <- gm1$name
+    attr(result, 'units') <- gm1$units
+#    attr(result, 'validityDate') <- gm1$validityDate
+#    attr(result, 'validityTime') <- gm1$validityTime
+
+    ## (2) Lat and lon
+    latlon <- grib_latlons(gm1, expand = TRUE)
+    lats <- unique(as.vector(c(latlon$lats)))
+    lons <- unique(as.vector(c(latlon$lons)))
+
+    #NOTE: Find another way to check regular grid; Ni/Nj not always exist
+#    if (has.key(gm1, "Nx") && has.key(gm1, "Ny")) {
+#      nx <- gm1$Nx
+#      ny <- gm1$Ny
+#    } else {
+#      nx <- gm1$Ni
+#      ny <- gm1$Nj
+#    }
+#    if (length(lats) != ny | length(lons) != nx) {
+#      stop("Latitude and Longitude seem to be non-regular grid.")
+#    }
+    attr(result, 'longitude') <- lons
+    attr(result, 'latitude') <- lats
+
+  }
+
+#--------------------------------
+#NOTE: Just use cdo_time
+#  ## (3) Date and time: Need to get from each massage
+#  for (time_i in 1:length(time_step)) {
+#    gm1 <- gm[[time_i]]
+#    #NOTE: What's the correct time?
+##    dates <- gm1$validityDate #Date of validity of the forecast
+##    times <- gm1$validityTime
+##    dates <- gm1$dataDate # Reference date
+#    times[[dat_i]][time_i] <- as.POSIXct(
+#                       lubridate::ymd_hms(paste0(paste(gm1$year,gm1$month,gm1$day, '-'), ' ',
+#                                          paste(gm1$hour, gm1$minute, gm1$second, ':')))
+#                     )
+#  }
+   times[[dat_i]] <- cdo_time_attr
+#--------------------------------
+
+  ##################################################################
+  grib_close(file_to_load)
+  gc()
+  ##################################################################
+}  #for loop dat
+
+  # Turn result list into array
+  attr <- attributes(result)
+  res_dim <- c(dim(result[[1]]), syear = length(result)) #[longitude, latitude, (memb*)time, syear]
+  result <- unlist(result)
+  dim(result) <- res_dim
+
+  # Generate date/time attributes
+  times <- array(unlist(times), dim = c(time = length(time_step), syear = length(dat),
+                                        sday = 1, sweek = 1))
+  times <- s2dv::Reorder(times, c('sday', 'sweek', 'syear', 'time'))
+  if (!is.null(syear_time_dim)) dim(times) <- syear_time_dim
+  times <- as.POSIXct(times, origin = '1970-01-01', tz = 'UTC')
+
+  # Reshape and reorder array
+  if (is.null(has.memb)) {  # obs doesn't have memb; reshape syear/time dim
+    result <- s2dv::Reorder(result, c("syear", "time", "latitude", "longitude"))
+    result <- array(result, dim = c(dat = 1, var = 1, 
+                                    syear_time_dim, dim(result)[3:4]))
+  } else {
+    result <- array(result, dim = c(dim(result)[1:2], ensemble = has.memb,
+                                    time = length(time_step), dim(result)[4]))
+    result <- s2dv::Reorder(result, c("syear", "time", "latitude", "longitude", "ensemble"))
+    dim(result) <- c(dat = 1, var = 1, sday = 1, sweek = 1, dim(result))
+  }
+
+  # Add attributes back
+  attr$dim <- dim(result)
+  attributes(result) <- attr
+  attr(result, 'time') <- times
+
+  return(result)
+}
+
+#########################################################################
+#########################################################################
+
+.grib_expand_grids <- function(gribMessages, vector = FALSE) {
+  # gribMessages is a list of multiple messages
+  gribMessage <- gribMessages[[1]]
+
+  if (gribr::has.key(gribMessage, "Nx") && gribr::has.key(gribMessage, "Ny")) {
+    nx <- gribMessage$Nx
+    ny <- gribMessage$Ny
+  } else {
+    nx <- gribMessage$Ni
+    ny <- gribMessage$Nj
+  }
+
+  if (is.null(nx) || is.null(ny)) {
+    stop("Unsupported grid type: ", gribMessage$gridType)
+  }
+
+  if (grepl("reduced", gribMessage$gridType)) {
+    #TODO: This part is not used now. 
+    nx <- ny * 2
+    values <- .Call("gribr_redtoreg", nx, gribMessage$pl,
+                    gribMessage$values)
+    values <- matrix(values, nx, ny,
+                     byrow = gribMessage$jPointsAreConsecutive)
+
+#    values_l <- vector('list', length = length(gribMessages))
+#    for (gm_i in 1:length(gribMessages)) {
+#      values <- .Call("gribr_redtoreg", nx, gribMessages[[gm_i]]$pl, 
+#                      gribMessages[[gm_i]]$values)
+#      values <- matrix(values, nx, ny,
+#                       byrow = gribMessage$jPointsAreConsecutive)
+#      values_l[[gm_i]] <- values
+#    }
+
+  } else {
+#    values <- matrix(gribMessage$values, nx, ny,
+#                     byrow = gribMessage$jPointsAreConsecutive)
+    values_l <- lapply(gribMessages, '[[', 'values')
+    values_l <- lapply(values_l, matrix, nx, ny, byrow = gribMessage$jPointsAreConsecutive)
+    values <- array(unlist(values_l), dim = c(longitude = nx, latitude = ny, time = length(values_l)))
+  }
+
+  if (vector) {
+    values <- as.numeric(values)
+  }
+
+  values
+}
+
diff --git a/modules/Loading/GRIB/s2dv_cube.R b/modules/Loading/GRIB/s2dv_cube.R
new file mode 100644
index 00000000..d44b99e2
--- /dev/null
+++ b/modules/Loading/GRIB/s2dv_cube.R
@@ -0,0 +1,227 @@
+#'Creation of a 's2dv_cube' object
+#'
+#'@description This function allows to create an 's2dv_cube' object by passing 
+#'information through its parameters. This function will be needed if the data 
+#'hasn't been loaded using CST_Load or has been transformed with other methods. 
+#'An 's2dv_cube' object has many different components including metadata. This 
+#'function will allow to create 's2dv_cube' objects even if not all elements 
+#'are defined and for each expected missed parameter a warning message will be 
+#'returned.
+#'
+#'@author Perez-Zanon Nuria, \email{nuria.perez@bsc.es}
+#'
+#'@param data A multidimensional array with named dimensions, typically with 
+#'  dimensions: dataset, member, sdate, ftime, lat and lon.
+#'@param coords A named list with elements of the coordinates corresponding to 
+#'  the dimensions of the data parameter. The names and length of each element 
+#'  must correspond to the names of the dimensions. If any coordinate is not 
+#'  provided, it is set as an index vector with the values from 1 to the length 
+#'  of the corresponding dimension.
+#'@param varName A character string indicating the abbreviation of the variable 
+#'  name.
+#'@param metadata A named list where each element is a variable containing the
+#'  corresponding information. The information can be contained in a list of 
+#'  lists for each variable.
+#'@param Datasets Character strings indicating the names of the dataset. It 
+#'  there are multiple datasets it can be a vector of its names or a list of
+#'  lists with additional information.
+#'@param Dates A POSIXct array of time dimensions containing the Dates.
+#'@param when A time stamp of the date when the data has been loaded. This 
+#'  parameter is also found in Load() and Start() functions output.
+#'@param source_files A vector of character strings with complete paths to all 
+#'  the found files involved in loading the data.
+#'@param \dots Additional elements to be added in the object. They will be 
+#'  stored in the end of 'attrs' element. Multiple elements are accepted.
+#'
+#'@return The function returns an object of class 's2dv_cube' with the following 
+#' elements in the structure:\cr
+#'\itemize{
+#'  \item{'data', array with named dimensions.}
+#'  \item{'dims', named vector of the data dimensions.}
+#'  \item{'coords', named list with elements of the coordinates corresponding to
+#'  the dimensions of the data parameter. If any coordinate is not provided, it 
+#'  is set as an index vector with the values from 1 to the length of the 
+#'  corresponding dimension. The attribute 'indices' indicates wether the 
+#'  coordinate is an index vector (TRUE) or not (FALSE).}
+#'  \item{'attrs', named list with elements:
+#'    \itemize{
+#'      \item{'Dates', array with named temporal dimensions of class 'POSIXct' from 
+#'      time values in the data.}
+#'      \item{'Variable', has the following components:
+#'        \itemize{
+#'          \item{'varName', with the short name of the loaded variable as specified 
+#'          in the parameter 'var'.}
+#'          \item{''metadata', named list of elements with variable metadata. 
+#'                They can be from coordinates variables (e.g. longitude) or 
+#'                main variables (e.g. 'var').}
+#'        }
+#'      }
+#'      \item{'Datasets', character strings indicating the names of the dataset.}
+#'      \item{'source_files', a vector of character strings with complete paths to 
+#'      all the found files involved in loading the data.}
+#'      \item{'when', a time stamp of the date issued by the Start() or Load() call to 
+#'      obtain the data.}
+#'      \item{'load_parameters', it contains the components used in the arguments to 
+#'      load the data from Start() or Load() functions.}
+#'    }
+#'  }
+#'}
+#'
+#'@seealso \code{\link[s2dv]{Load}} and \code{\link{CST_Load}}
+#'@examples
+#'exp_original <- 1:100
+#'dim(exp_original) <- c(lat = 2, time = 10, lon = 5)
+#'exp1 <- s2dv_cube(data = exp_original)
+#'class(exp1)
+#'coords <- list(lon = seq(-10, 10, 5), lat = c(45, 50))
+#'exp2 <- s2dv_cube(data = exp_original, coords = coords) 
+#'class(exp2)
+#'metadata <- list(tas = list(level = '2m'))
+#'exp3 <- s2dv_cube(data = exp_original, coords = coords,
+#'                  varName = 'tas', metadata = metadata)
+#'class(exp3)
+#'Dates = as.POSIXct(paste0(rep("01", 10), rep("01", 10), 1990:1999), format = "%d%m%Y")
+#'dim(Dates) <- c(time = 10)
+#'exp4 <- s2dv_cube(data = exp_original, coords = coords,
+#'                  varName = 'tas', metadata = metadata,
+#'                  Dates = Dates)  
+#'class(exp4)
+#'exp5 <- s2dv_cube(data = exp_original, coords = coords,
+#'                  varName = 'tas', metadata = metadata,
+#'                  Dates = Dates, when = "2019-10-23 19:15:29 CET")  
+#'class(exp5)
+#'exp6 <- s2dv_cube(data = exp_original, coords = coords,
+#'                  varName = 'tas', metadata = metadata,
+#'                  Dates = Dates,
+#'                  when = "2019-10-23 19:15:29 CET", 
+#'                  source_files = c("/path/to/file1.nc", "/path/to/file2.nc"))
+#'class(exp6)
+#'exp7 <- s2dv_cube(data = exp_original, coords = coords,
+#'                  varName = 'tas', metadata = metadata,
+#'                  Dates = Dates,
+#'                  when = "2019-10-23 19:15:29 CET", 
+#'                  source_files = c("/path/to/file1.nc", "/path/to/file2.nc"),
+#'                  Datasets = list(
+#'                    exp1 = list(InitializationsDates = list(Member_1 = "01011990", 
+#'                                                            Members = "Member_1"))))  
+#'class(exp7)
+#'dim(exp_original) <- c(dataset = 1, member = 1, time = 10, lat = 2, lon = 5)
+#'exp8 <- s2dv_cube(data = exp_original, coords = coords,
+#'                  varName = 'tas', metadata = metadata,
+#'                  Dates = Dates, original_dates = Dates)  
+#'class(exp8)
+#'@export
+s2dv_cube <- function(data, coords = NULL, varName = NULL, metadata = NULL, 
+                      Datasets = NULL, Dates = NULL, when = NULL, 
+                      source_files = NULL, ...) {
+
+  # data
+  if (is.null(data) | !is.array(data) | is.null(names(dim(data)))) {
+    stop("Parameter 'data' must be an array with named dimensions.")
+  }
+  # dims
+  dims <- dim(data)
+
+  ## coords
+  if (!is.null(coords)) {
+    if (!all(names(coords) %in% names(dims))) {
+      coords <- coords[-which(!names(coords) %in% names(dims))]
+    }
+    for (i_coord in names(dims)) {
+      if (i_coord %in% names(coords)) {
+        if (length(coords[[i_coord]]) != dims[i_coord]) {
+          warning(paste0("Coordinate '", i_coord, "' has different lenght as ",
+                         "its dimension and it will not be used."))
+          coords[[i_coord]] <- 1:dims[i_coord]
+          attr(coords[[i_coord]], 'indices') <- TRUE
+        } else {
+          attr(coords[[i_coord]], 'indices') <- FALSE
+        }
+      } else {
+        warning(paste0("Coordinate '", i_coord, "' is not provided ",
+                       "and it will be set as index in element coords."))
+        coords[[i_coord]] <- 1:dims[i_coord]
+        attr(coords[[i_coord]], 'indices') <- TRUE
+      }
+    }
+  } else {
+    coords <- sapply(names(dims), function(x) 1:dims[x])
+    for (i in 1:length(coords)) {
+      attr(coords[[i]], "indices") <- TRUE
+    }
+  }
+
+  ## attrs
+  attrs <- list()
+  # Dates
+  if (is.null(Dates)) {
+    warning("Parameter 'Dates' is not provided so the metadata ",
+            "of 's2dv_cube' object will be incomplete.")
+    attrs$Dates <- NULL
+  } else if (length(Dates) == 1 & inherits(Dates[1], "POSIXct")) {
+    attrs$Dates <- Dates
+  } else {
+    if (!is.array(Dates)) {
+      warning("Parameter 'Dates' must be an array with named time dimensions.")
+    } else {
+      if (is.null(names(dim(Dates)))) {
+        warning("Parameter 'Dates' must have dimension names.")
+      } else if (!all(names(dim(Dates)) %in% names(dims))) {
+        warning("Parameter 'Dates' must have the corresponding time dimension names in 'data'.")
+      } else {
+        if (inherits(Dates[1], "POSIXct")) {
+          attrs$Dates <- Dates
+        } else {
+          warning("Parameter 'Dates' must be of class 'POSIXct'.")
+        }
+      }
+    }
+  }
+  # Variable
+  if (is.null(varName)) {
+    warning("Parameter 'varName' is not provided so the metadata ",
+            "of 's2dv_cube' object will be incomplete.")
+    attrs$Variable$varName <- NULL
+  } else {
+    if (!is.character(varName)) {
+      warning("Parameter 'varName' must be a character.")
+    } else {
+      attrs$Variable$varName <- varName
+    }
+  }
+  if (is.null(metadata)) {
+    warning("Parameter 'metadata' is not provided so the metadata ",
+            "of 's2dv_cube' object will be incomplete.")
+    attrs$Variable$metadata <- NULL
+  } else {
+    if (!is.list(metadata)) {
+       metadata <- list(metadata)
+    }
+    attrs$Variable$metadata <- metadata
+  }
+  # Datasets
+  if (!is.null(Datasets)) {
+    attrs$Datasets <- Datasets
+  }
+  # when
+  if (!is.null(when)) {
+    attrs$when <- when
+  }
+  # source_files
+  if (!is.null(source_files)) {
+    attrs$source_files <- source_files
+  }
+  # dots
+  dots <- list(...)
+  if (length(dots) != 0) {
+    for (i_arg in 1:length(dots)) {
+      attrs[[names(dots)[[i_arg]]]] <- dots[[i_arg]]
+    }
+  }
+
+  ## object
+  object <- list(data = data, dims = dims, coords = coords, attrs = attrs)
+  class(object) <- 's2dv_cube'
+  return(object)
+}
+
diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
new file mode 100644
index 00000000..cfac3df1
--- /dev/null
+++ b/modules/Loading/Loading_GRIB.R
@@ -0,0 +1,299 @@
+#################################################
+# Load GRIB files from MARS
+#################################################
+
+source('modules/Loading/GRIB/GrbLoad.R')
+library(yaml)
+library(clock)
+
+load_datasets <- function(recipe) {
+
+
+  # Set params
+  #-------------------------------------------------------------------
+
+  # get recipe info
+  hcst.inityear <- recipe$Analysis$Time$hcst_start
+  hcst.endyear <- recipe$Analysis$Time$hcst_end
+  hcst.sdate <- recipe$Analysis$Time$sdate
+  hcst.ftime <-  as.numeric(recipe$Analysis$Time$ftime_min):as.numeric(recipe$Analysis$Time$ftime_max)
+  fcst.year <- recipe$Analysis$Time$fcst_year
+  lats.min <- recipe$Analysis$Region$latmin  # can only be -90
+  lats.max <- recipe$Analysis$Region$latmax  # can only be 90
+  lons.min <- recipe$Analysis$Region$lonmin  # can only be 0
+  lons.max <- recipe$Analysis$Region$lonmax  # can only be 360
+  ref.name <- recipe$Analysis$Datasets$Reference$name
+  exp.name <- recipe$Analysis$Datasets$System$name
+  variable <- recipe$Analysis$Variables$name  #'tas'
+  store.freq <- recipe$Analysis$Variables$freq
+
+  # get MARS datasets dict:
+  archive <- read_yaml("/esarchive/scratch/aho/git/aho-testtest/GRIB/GrbLoad/archive_GRIB.yml")$archive
+  exp_descrip <- archive$System[[exp.name]]
+  freq.hcst <- unlist(exp_descrip[[store.freq]][variable])
+  reference_descrip <- archive$Reference[[ref.name]]
+  freq.obs <- unlist(reference_descrip[[store.freq]][variable])
+  obs.dir <- reference_descrip$src
+  fcst.dir <- exp_descrip$src
+  hcst.dir <- exp_descrip$src
+  #NOTE: We can use this info in GrbLoad() to substitute param 'has.memb'
+  fcst.nmember <- exp_descrip$nmember$fcst
+  hcst.nmember <- exp_descrip$nmember$hcst
+
+  print("========== PARAMETERS RETRIEVED. ==========")
+
+  # Load hindcast 
+  #-------------------------------------------------------------------
+
+## original file dir
+#exp_path <- "/esarchive/exp/ecmwf/system5_m1/original_files/fcmean_od_sfc_msmm_ecmf/"
+## soft link to original file dir
+#exp_path <- "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas/"  #files are not correct
+# The correct files
+#exp_path <- "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas_CORRECTED/"
+
+  hcst.path <- paste0(archive$src, hcst.dir)
+  hcst.year <- paste0(as.numeric(hcst.inityear):as.numeric(hcst.endyear))
+  hcst.files <- paste0(hcst.path, variable, '_', hcst.year, hcst.sdate, '.grb')
+
+  hcst <- GrbLoad(dat = as.list(hcst.files), time_step = hcst.ftime, has.memb = hcst.nmember)
+
+  print("========== HCST LOADED. ==========")
+
+  # Load forecast
+  #-------------------------------------------------------------------
+  if (!is.null(fcst.year)) {
+    fcst.path <- paste0(archive$src, hcst.dir)
+    fcst.files <- paste0(fcst.path, variable, '_', fcst.year, hcst.sdate, '.grb')
+
+    fcst <- GrbLoad(dat = as.list(fcst.files), time_step = hcst.ftime, has.memb = fcst.nmember)
+  } else {
+    fcst <- NULL
+  }
+
+  print("========== FCST LOADED. ==========")
+
+  # Load reference
+  #-------------------------------------------------------------------
+#obs_path <- "/esarchive/scratch/aho/tmp/GRIB/GRIB_era5_tas/"
+  obs.path <- paste0(archive$src, obs.dir)
+  # Use hcst time attr to load obs
+  hcst_times <- attr(hcst, 'time')
+  hcst_times_strings <- format(hcst_times, '%Y%m')
+
+  obs.files <- paste0(obs.path, variable, '_', hcst_times_strings, '.grb')
+
+  #NOTE: only 1 time step in each obs file
+  obs <- GrbLoad(dat = as.list(obs.files), time_step = 1, has.memb = NULL, syear_time_dim = dim(hcst_times))
+
+  print("========== OBS LOADED. ==========")
+
+
+#################################################################################
+
+#dim(hcst)
+#    syear      time  latitude longitude  ensemble 
+#        4         3       640      1280        51 
+
+##BEFORE TRANSFER TO S2DV_CUBE
+#str(hcst)
+# num [1:4, 1:3, 1:640, 1:1280, 1:51] 252 252 252 252 251 ...
+# - attr(*, "edition")= num 1
+# - attr(*, "shortName")= chr "2t"
+# - attr(*, "longitude")= num [1:1280] 0 0.281 0.563 0.844 1.125 ...
+# - attr(*, "latitude")= num [1:640] 89.8 89.5 89.2 88.9 88.7 ...
+# - attr(*, "time")= POSIXct[1:12], format: "2000-12-01" "2001-12-01" ...
+
+#dim(attr(hcst, 'time'))
+#syear  time 
+#    4     3 
+
+##BEFORE TRANSFER TO S2DV_CUBE
+#str(obs)
+# num [1:4, 1:3, 1:640, 1:1280] 251 251 251 251 251 ...
+# - attr(*, "edition")= num 1
+# - attr(*, "shortName")= chr "2t"
+# - attr(*, "longitude")= num [1:1280] 0 0.281 0.562 0.844 1.125 ...
+# - attr(*, "latitude")= num [1:640] 89.8 89.5 89.2 88.9 88.7 ...
+# - attr(*, "time")= POSIXct[1:12], format: "2000-12-01" "2001-12-01" ...
+
+#################################################################################
+
+  # Regridding
+  #-------------------------------------------------------------------
+  regrid.method <- recipe$Analysis$Regrid$method
+  regrid.type <- recipe$Analysis$Regrid$type
+  if (!is.null(regrid.method) & !is.null(regrid.type)) {
+    if (regrid.type == 'to_reference') {
+      gridtype <- exp_descrip$reference_grid
+      #NOTE: Do we need force_remap?
+      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
+                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+      hcst <- tmp$data_array
+      attr(hcst, 'latitude') <- tmp$lats
+      attr(hcst, 'longitude') <- tmp$lons
+
+      if (!is.null(fcst)) {
+        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
+                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+        fcst <- tmp$data_array
+        attr(fcst, 'latitude') <- tmp$lats
+        attr(fcst, 'longitude') <- tmp$lons
+      }
+
+    } else if (regrid.type == 'to_system') {
+      gridtype <- reference_descrip$reference_grid
+      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
+                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+      obs <- tmp$data_array
+      attr(obs, 'latitude') <- tmp$lats
+      attr(obs, 'longitude') <- tmp$lons
+
+    } else if (regrid.type != 'none') {
+      gridtype <- recipe$Analysis$Regrid$type
+      # hcst
+      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
+                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+      hcst <- tmp$data_array
+      attr(hcst, 'latitude') <- tmp$lats
+      attr(hcst, 'longitude') <- tmp$lons
+      # fcst
+      if (!is.null(fcst)) {
+        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
+                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+        fcst <- tmp$data_array
+        attr(fcst, 'latitude') <- tmp$lats
+        attr(fcst, 'longitude') <- tmp$lons
+      }
+      # obs
+      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
+                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+      obs <- tmp$data_array
+      attr(obs, 'latitude') <- tmp$lats
+      attr(obs, 'longitude') <- tmp$lons
+    }
+
+  }
+
+  print("========== REGRID DONE. ==========")
+
+
+  # Turn into s2dv_cube
+  #-------------------------------------------------------------------
+  # hcst
+  metadata_list <- vector("list", length = 1)
+  names(metadata_list) <- variable
+  metadata_list[[variable]] <- list(long_name = attr(hcst, 'name'),
+                                    units = attr(hcst, 'units'))
+  load_parameters_list <- list(dat1 = list(file_date = list(paste0(hcst.year, hcst.sdate))))
+
+  hcst <- s2dv_cube(data = array(hcst, dim = dim(hcst)),
+                    coords = list(dat = 'dat1',
+                                  var = variable,
+                                  sday = 1,
+                                  sweek = 1,
+                                  syear = hcst.year,
+                                  time = hcst.ftime,
+                                  latitude = attr(hcst, 'latitude'),
+                                  longitude = attr(hcst, 'longitude'),
+                                  ensemble = 1:hcst.nmember),
+                    varName = attr(hcst, 'shortName'),
+                    metadata = metadata_list,
+                    Dates = attributes(hcst)$time,
+                    source_files = hcst.files,
+                    load_parameters = load_parameters_list,
+                    # extra attrs
+                    gribEdition = attr(hcst, 'edition'))
+
+  # fcst
+  if (!is.null(fcst)) {
+    metadata_list <- vector("list", length = 1)
+    names(metadata_list) <- variable
+    metadata_list[[variable]] <- list(long_name = attr(fcst, 'name'),
+                                    units = attr(fcst, 'units'))
+    load_parameters_list <- list(dat1 = list(file_date = list(paste0(fcst.year, hcst.sdate))))
+
+    fcst <- s2dv_cube(data = array(fcst, dim = dim(fcst)),
+                      coords = list(dat = 'dat1',
+                                    var = variable,
+                                    sday = 1,
+                                    sweek = 1,
+                                    syear = fcst.year,
+                                    time = hcst.ftime,
+                                    latitude = attr(fcst, 'latitude'),
+                                    longitude = attr(fcst, 'longitude'),
+                                    ensemble = 1:fcst.nmember),
+                      varName = attr(fcst, 'shortName'),
+                      metadata = metadata_list,
+                      Dates = attributes(fcst)$time,
+                      source_files = fcst.files,
+                      load_parameters = load_parameters_list,
+                      gribEdition = attr(fcst, 'edition'))
+  }
+
+  # obs
+  metadata_list <- vector("list", length = 1)
+  names(metadata_list) <- variable
+  metadata_list[[variable]] <- list(long_name = attr(obs, 'name'),
+                                    units = attr(obs, 'units'))
+  load_parameters_list <- list(dat1 = list(file_date = list(hcst_times_strings)))
+
+  obs <-  s2dv_cube(data = array(obs, dim = dim(obs)),
+                    coords = list(dat = 'dat1',
+                                  var = variable,
+                                  sday = 1,
+                                  sweek = 1,
+                                  #NOTE: Can we directly use hcst info?
+                                  syear = hcst.year,
+                                  time = hcst.ftime,
+                                  latitude = attr(obs, 'latitude'), 
+                                  longitude = attr(obs, 'longitude')),
+                    varName = attr(obs, 'shortName'),
+                    metadata = metadata_list,
+                    Dates = attributes(obs)$time,
+                    source_files = obs.files,
+                    load_parameters = load_parameters_list,
+                    gribEdition = attr(obs, 'edition'))
+
+
+#str(hcst)
+#List of 4
+# $ data  : num [1, 1, 1, 1, 1:2, 1:2, 1:640, 1:1280, 1:51] 252 253 248 251 251 ...
+#  ..- attr(*, "edition")= num 1
+#  ..- attr(*, "shortName")= chr "2t"
+#  ..- attr(*, "longitude")= num [1:1280] 0 0.281 0.563 0.844 1.125 ...
+#  ..- attr(*, "latitude")= num [1:640] 89.8 89.5 89.2 88.9 88.7 ...
+#  ..- attr(*, "time")= POSIXct[1:4], format: "2000-12-01" "2001-12-01" ...
+# $ dims  : Named int [1:9] 1 1 1 1 2 2 640 1280 51
+#  ..- attr(*, "names")= chr [1:9] "dat" "var" "sday" "sweek" ...
+# $ coords:List of 9
+#  ..$ dat      : chr "dat1"
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ var      : chr "tas"
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ sday     : num 1
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ sweek    : num 1
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ syear    : chr [1:2] "2000" "2001"
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ time     : int [1:2] 1 2
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ latitude : num [1:640] 89.8 89.5 89.2 88.9 88.7 ...
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ longitude: num [1:1280] 0 0.281 0.563 0.844 1.125 ...
+#  .. ..- attr(*, "indices")= logi FALSE
+#  ..$ ensemble : int [1:51] 1 2 3 4 5 6 7 8 9 10 ...
+#  .. ..- attr(*, "indices")= logi FALSE
+# $ attrs :List of 4
+#  ..$ Dates       : POSIXct[1:4], format: "2000-12-01" "2001-12-01" ...
+#  ..$ Variable    :List of 1
+#  .. ..$ varName: chr "2t"
+#  ..$ source_files: chr [1:2] "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas_CORRECTED/tas_20001101.grb" "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas_CORRECTED/tas_20011101.grb"
+#  ..$ gribEdition : num 1
+# - attr(*, "class")= chr "s2dv_cube"
+
+
+  return(list(hcst = hcst, fcst = fcst, obs = obs))
+
+}
diff --git a/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml b/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml
new file mode 100644
index 00000000..e50aa2a3
--- /dev/null
+++ b/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml
@@ -0,0 +1,50 @@
+Description:
+  Author: A. Ho
+
+Analysis:
+  Horizon: Seasonal
+  Variables:
+    name: tas
+    freq: monthly_mean
+  Datasets:
+    System:
+      name: ECMWF-SEAS5
+    Multimodel: False
+    Reference:
+      name: ERA5
+  Time:
+    sdate: '1101'
+    fcst_year: '2020'
+    hcst_start: '2000'
+    hcst_end: '2003'
+    ftime_min: 1
+    ftime_max: 3
+  Region:  #NOT USED
+    latmin: -90
+    latmax: 90
+    lonmin: 0
+    lonmax: 360
+  Regrid:
+    method: bilinear
+    type: 'r360x180' #to_system 
+  Workflow:
+    Calibration:
+      method: mse_min
+    Anomalies:
+      compute: yes
+      cross_validation: yes
+    Skill:
+      metric: mean_bias 
+    Probabilities:
+      percentiles: [[1/3, 2/3], [1/10, 9/10]]
+    Indicators:
+      index: no
+  ncores: 8
+  remove_NAs: yes
+  Output_format: S2S4E #Scorecards
+Run:
+  Loglevel: INFO
+  Terminal: yes
+  output_dir: ./tests/out-logs/
+  code_dir: /esarchive/scratch/aho/git/auto-s2s/
+
diff --git a/modules/test_GRIB.R b/modules/test_GRIB.R
new file mode 100644
index 00000000..429c8032
--- /dev/null
+++ b/modules/test_GRIB.R
@@ -0,0 +1,57 @@
+source('modules/Loading/GRIB/GrbLoad.R')
+source('modules/Loading//Loading_GRIB.R')
+source("tools/libs.R") # for prepare_outputs.R
+#TODO: remove this line when new s2dv_cube() is in CSTools
+source('modules/Loading/GRIB/s2dv_cube.R')
+
+library(yaml)
+library(clock)
+
+recipe <- "modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml"
+recipe <- prepare_outputs(recipe)
+
+# Load datasets
+data <- load_datasets(recipe)
+
+str(data)
+
+#============================
+# Test the remaining modules
+#============================
+source("modules/Calibration/Calibration.R")
+source("modules/Skill/Skill.R")
+source("modules/Saving/Saving.R")
+source("modules/Visualization/Visualization.R")
+
+# Calibrate data
+suppressWarnings({invisible(capture.output(
+calibrated_data <- calibrate_datasets(recipe, data)
+))})
+#pryr::mem_used()
+#975 MB
+
+# Compute skill metrics
+suppressWarnings({invisible(capture.output(
+skill_metrics <- compute_skill_metrics(recipe, calibrated_data)
+))})
+
+suppressWarnings({invisible(capture.output(
+probs <- compute_probabilities(recipe, calibrated_data)
+))})
+
+# Saving
+suppressWarnings({invisible(capture.output(
+save_data(recipe = recipe, data = calibrated_data,
+	  skill_metrics = skill_metrics, probabilities = probs,
+          archive = read_yaml("conf/archive_GRIB.yml")$archive)
+))})
+
+# Plotting
+suppressWarnings({invisible(capture.output(
+plot_data(recipe = recipe,  data = calibrated_data,
+	  skill_metrics = skill_metrics, probabilities = probs,
+	  significance = T,
+          archive = read_yaml("conf/archive_GRIB.yml")$archive)
+))})
+outdir <- get_dir(recipe)
+
-- 
GitLab


From bf47d55dd0bbf5d47c6cd09dcd80033032a73ffc Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Tue, 14 Mar 2023 18:22:57 +0100
Subject: [PATCH 13/84] Change archive path in Loading

---
 modules/Loading/Loading_GRIB.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index cfac3df1..2adc6aa3 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -28,7 +28,7 @@ load_datasets <- function(recipe) {
   store.freq <- recipe$Analysis$Variables$freq
 
   # get MARS datasets dict:
-  archive <- read_yaml("/esarchive/scratch/aho/git/aho-testtest/GRIB/GrbLoad/archive_GRIB.yml")$archive
+  archive <- read_yaml(paste0(recipe$Run$code_dir, "conf/archive_GRIB.yml"))$archive
   exp_descrip <- archive$System[[exp.name]]
   freq.hcst <- unlist(exp_descrip[[store.freq]][variable])
   reference_descrip <- archive$Reference[[ref.name]]
-- 
GitLab


From 456a34334bbf707920f9747c0195dc153e0aad1b Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Wed, 15 Mar 2023 14:12:30 +0100
Subject: [PATCH 14/84] remove not needed object and add gc()

---
 modules/Loading/GRIB/GrbLoad.R | 30 +++++++++++++++++++++---------
 modules/Loading/Loading_GRIB.R |  3 +++
 2 files changed, 24 insertions(+), 9 deletions(-)

diff --git a/modules/Loading/GRIB/GrbLoad.R b/modules/Loading/GRIB/GrbLoad.R
index 2ba86bea..5f15f627 100644
--- a/modules/Loading/GRIB/GrbLoad.R
+++ b/modules/Loading/GRIB/GrbLoad.R
@@ -50,9 +50,16 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
 
     # all members + ftimes: length should be memb*ftime (e.g., 51*7)
     ## Method 1: use grib_select and real values to filter
+#--------NEW-------------
     memb_ftime <- grib_select(file_to_load, list(validityDate = cdo_time))
     if (inherits(memb_ftime, 'gribMessage')) memb_ftime <- list(memb_ftime)
 
+#    needed_attrs <- c('Nx', 'Ny', 'Ni', 'Nj', 'pl', 'values', 'jPointsAreConsecutive')
+#    memb_ftime <- lapply(grib_select(file_to_load, list(validityDate = cdo_time)), 
+#                         '[', needed_attrs)
+#    if (inherits(memb_ftime, 'gribMessage')) memb_ftime <- list(memb_ftime)
+#-----------NEW_END------------
+
 #    ## Method 2: Calculate which messages are the desired ones
 #    gm <- grib_get_message(file_to_load, time_step)
 #    if (length(time_step) == 1) {
@@ -62,14 +69,16 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
   ##################################################################
   # Get data as an array [longitude, latitude, (memb*)time]
   ##################################################################
-  if (grepl("reduced", memb_ftime[[1]]$gridType)) {
+  if (grepl("reduced", gm1$gridType)) {
     #NOTE: Need to call gribr::grib_expand_grids because I don't know how to make .Call("gribr_redtoreg") work outside that function
     #      https://github.com/nawendt/gribr/blob/main/src/redtoreg.c
     values_l <- vector('list', length = length(memb_ftime))
     for (gm_i in 1:length(memb_ftime)) {
       values_l[[gm_i]] <- grib_expand_grids(memb_ftime[[gm_i]])
     }
-    result[[dat_i]] <- array(unlist(values_l), dim = c(longitude = memb_ftime[[1]]$Nj * 2, latitude = memb_ftime[[1]]$Nj, time = length(values_l)))
+    result[[dat_i]] <- array(unlist(values_l), dim = c(longitude = gm1$Nj * 2, latitude = gm1$Nj, time = length(values_l)))
+    # Save memory
+    rm(values_l); gc()
 
   } else {
     result[[dat_i]] <- .grib_expand_grids(memb_ftime)
@@ -80,7 +89,6 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
   ##################################################################
   ## (1-1) Everything from the first message of first file
   if (dat_i == 1) {
-    gm1 <- memb_ftime[[1]]
     ## (1-1) Everything from the first message of first file
 #    dims <- dim(result[[dat_i]])
 #    attributes(result) <- gm1
@@ -99,8 +107,10 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
 
     ## (2) Lat and lon
     latlon <- grib_latlons(gm1, expand = TRUE)
-    lats <- unique(as.vector(c(latlon$lats)))
-    lons <- unique(as.vector(c(latlon$lons)))
+    attr(result, 'latitude') <- unique(as.vector(c(latlon$lats)))
+    attr(result, 'longitude') <- unique(as.vector(c(latlon$lons)))
+    # Save memory (though it's small)
+    rm(latlon); gc()
 
     #NOTE: Find another way to check regular grid; Ni/Nj not always exist
 #    if (has.key(gm1, "Nx") && has.key(gm1, "Ny")) {
@@ -113,8 +123,6 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
 #    if (length(lats) != ny | length(lons) != nx) {
 #      stop("Latitude and Longitude seem to be non-regular grid.")
 #    }
-    attr(result, 'longitude') <- lons
-    attr(result, 'latitude') <- lats
 
   }
 
@@ -136,8 +144,9 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
 #--------------------------------
 
   ##################################################################
-  grib_close(file_to_load)
-  gc()
+  # Save memory
+  rm(memb_ftime); rm(gm1); gc()
+  grib_close(file_to_load)  # Doesn't impact memory
   ##################################################################
 }  #for loop dat
 
@@ -171,6 +180,9 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
   attributes(result) <- attr
   attr(result, 'time') <- times
 
+  # Save memory
+  rm(times); rm(attr); gc()
+
   return(result)
 }
 
diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index 2adc6aa3..c8e675a9 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -57,6 +57,7 @@ load_datasets <- function(recipe) {
   hcst.files <- paste0(hcst.path, variable, '_', hcst.year, hcst.sdate, '.grb')
 
   hcst <- GrbLoad(dat = as.list(hcst.files), time_step = hcst.ftime, has.memb = hcst.nmember)
+  gc()
 
   print("========== HCST LOADED. ==========")
 
@@ -67,6 +68,7 @@ load_datasets <- function(recipe) {
     fcst.files <- paste0(fcst.path, variable, '_', fcst.year, hcst.sdate, '.grb')
 
     fcst <- GrbLoad(dat = as.list(fcst.files), time_step = hcst.ftime, has.memb = fcst.nmember)
+    gc()
   } else {
     fcst <- NULL
   }
@@ -85,6 +87,7 @@ load_datasets <- function(recipe) {
 
   #NOTE: only 1 time step in each obs file
   obs <- GrbLoad(dat = as.list(obs.files), time_step = 1, has.memb = NULL, syear_time_dim = dim(hcst_times))
+  gc()
 
   print("========== OBS LOADED. ==========")
 
-- 
GitLab


From 9865d8cc194ee3c812141e7fee8ed2dd4cbe8ca0 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 21 Mar 2023 16:24:58 +0100
Subject: [PATCH 15/84] Add log4r to GRIB loading, source libs.R, make archive
 path relative

---
 modules/Loading/Loading_GRIB.R | 23 ++++++++++++++---------
 modules/test_GRIB.R            |  3 ---
 tools/libs.R                   |  1 +
 3 files changed, 15 insertions(+), 12 deletions(-)

diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index c8e675a9..313dc0a8 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -3,8 +3,7 @@
 #################################################
 
 source('modules/Loading/GRIB/GrbLoad.R')
-library(yaml)
-library(clock)
+source('tools/libs.R')
 
 load_datasets <- function(recipe) {
 
@@ -28,7 +27,7 @@ load_datasets <- function(recipe) {
   store.freq <- recipe$Analysis$Variables$freq
 
   # get MARS datasets dict:
-  archive <- read_yaml(paste0(recipe$Run$code_dir, "conf/archive_GRIB.yml"))$archive
+  archive <- read_yaml("conf/archive_GRIB.yml")$archive
   exp_descrip <- archive$System[[exp.name]]
   freq.hcst <- unlist(exp_descrip[[store.freq]][variable])
   reference_descrip <- archive$Reference[[ref.name]]
@@ -40,7 +39,8 @@ load_datasets <- function(recipe) {
   fcst.nmember <- exp_descrip$nmember$fcst
   hcst.nmember <- exp_descrip$nmember$hcst
 
-  print("========== PARAMETERS RETRIEVED. ==========")
+  info(recipe$Run$logger,
+       "========== PARAMETERS RETRIEVED. ==========")
 
   # Load hindcast 
   #-------------------------------------------------------------------
@@ -59,7 +59,8 @@ load_datasets <- function(recipe) {
   hcst <- GrbLoad(dat = as.list(hcst.files), time_step = hcst.ftime, has.memb = hcst.nmember)
   gc()
 
-  print("========== HCST LOADED. ==========")
+  info(recipe$Run$logger,
+       "========== HCST LOADED. ==========")
 
   # Load forecast
   #-------------------------------------------------------------------
@@ -73,7 +74,8 @@ load_datasets <- function(recipe) {
     fcst <- NULL
   }
 
-  print("========== FCST LOADED. ==========")
+  info(recipe$Run$logger,
+       "========== FCST LOADED. ==========")
 
   # Load reference
   #-------------------------------------------------------------------
@@ -89,7 +91,8 @@ load_datasets <- function(recipe) {
   obs <- GrbLoad(dat = as.list(obs.files), time_step = 1, has.memb = NULL, syear_time_dim = dim(hcst_times))
   gc()
 
-  print("========== OBS LOADED. ==========")
+  info(recipe$Run$logger,
+       "========== OBS LOADED. ==========")
 
 
 #################################################################################
@@ -178,7 +181,8 @@ load_datasets <- function(recipe) {
 
   }
 
-  print("========== REGRID DONE. ==========")
+  info(recipe$Run$logger,
+       "========== REGRID DONE. ==========")
 
 
   # Turn into s2dv_cube
@@ -295,7 +299,8 @@ load_datasets <- function(recipe) {
 #  ..$ source_files: chr [1:2] "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas_CORRECTED/tas_20001101.grb" "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas_CORRECTED/tas_20011101.grb"
 #  ..$ gribEdition : num 1
 # - attr(*, "class")= chr "s2dv_cube"
-
+  info(recipe$Run$logger,
+       "##### GRIB DATA LOADED SUCCESSFULLY #####")
 
   return(list(hcst = hcst, fcst = fcst, obs = obs))
 
diff --git a/modules/test_GRIB.R b/modules/test_GRIB.R
index 429c8032..b29e6e54 100644
--- a/modules/test_GRIB.R
+++ b/modules/test_GRIB.R
@@ -4,9 +4,6 @@ source("tools/libs.R") # for prepare_outputs.R
 #TODO: remove this line when new s2dv_cube() is in CSTools
 source('modules/Loading/GRIB/s2dv_cube.R')
 
-library(yaml)
-library(clock)
-
 recipe <- "modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml"
 recipe <- prepare_outputs(recipe)
 
diff --git a/tools/libs.R b/tools/libs.R
index 387d9b90..3ea238c2 100644
--- a/tools/libs.R
+++ b/tools/libs.R
@@ -12,6 +12,7 @@ library(easyNCDF)
 library(CSTools)
 library(lubridate)
 library(PCICt)
+library(clock)
 library(RColorBrewer)
 #
 #  library(parallel)
-- 
GitLab


From 13ba15c34037454092a43e31e87e3f16543659cb Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 22 Mar 2023 14:40:24 +0100
Subject: [PATCH 16/84] Add mars archive development to GRIB functions

---
 conf/archive.yml                              | 177 +-----------------
 conf/archive_GRIB.yml                         |  24 ---
 modules/Loading/Loading_GRIB.R                |   2 +-
 .../recipe_GRIB_system5_era5.yml              |   1 +
 4 files changed, 10 insertions(+), 194 deletions(-)
 delete mode 100644 conf/archive_GRIB.yml

diff --git a/conf/archive.yml b/conf/archive.yml
index a982b84f..0bab1c06 100644
--- a/conf/archive.yml
+++ b/conf/archive.yml
@@ -198,186 +198,25 @@ esarchive:
             calendar: "proleptic_gregorian"
             reference_grid: "/esarchive/recon/ecmwf/cerraland/monthly_mean/prlr_f6h-r2631x1113/prlr_200412.nc"
 
-
-
 mars:
-    src: "/esarchive/"
+    src: "/esarchive/scratch/aho/tmp/GRIB/"  #"/mars/"
     System:
         ECMWF-SEAS5:
             name: "ECMWF SEAS5"
             institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/ecmwf/system5c3s/"
-            daily_mean: {"tas":"_f6h/", "rsds":"_s0-24h/",
-                         "prlr":"_s0-24h/", "sfcWind":"_f6h/",
-                         "tasmin":"_f24h/", "tasmax":"_f24h/",
-                         "ta300":"_f12h/", "ta500":"_f12h/", "ta850":"_f12h/",
-                         "g300":"_f12h/", "g500":"_f12h/", "g850":"_f12h/",
-                         "tdps":"_f6h/", "hurs":"_f6h/"}
-            monthly_mean: {"tas":"_f6h/", "rsds":"_s0-24h/",
-                           "prlr":"_s0-24h/", "sfcWind":"_f6h/",
-                           "tasmin":"_f24h/", "tasmax":"_f24h/",
-                           "ta300":"_f12h/", "ta500":"_f12h/", "ta850":"_f12h/",
-                           "g300":"_f12h/", "g500":"_f12h/", "g850":"_f12h/",
-                           "tdps":"_f6h/"}
+            src: "GRIB_system5_tas_CORRECTED/"
+            monthly_mean: {"tas":""}
             nmember:
               fcst: 51
-              hcst: 25
-            calendar: "proleptic_gregorian"
-            time_stamp_lag: "0"
-            reference_grid: "/esarchive/exp/ecmwf/system5c3s/monthly_mean/tas_f6h/tas_20180501.nc"
-        ECMWF-SEAS5.1:
-            name: "ECMWF SEAS5 (v5.1)"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/ecmwf/system51c3s/"
-            daily_mean: {"tas":"_f6h/", "prlr":"_s0-24h/", "sfcWind":"_f6h/",
-                         "uas":"_f6h/", "vas":"_f6h/", "psl":"_f6h/",
-                         "tdps":"_f6h/"}
-            monthly_mean: {"tas":"_f6h/", "rsds":"_s0-24h/", "prlr":"_s0-24h/",
-                           "sfcWind":"_f6h/", "tasmin":"_f24h/", "tasmax":"_f24h/",
-                           "uas":"_f6h/", "vas":"_f6h/", "psl":"_f6h/",
-                           "tdps":"_f6h/"}
-            nmember:
-              fcst: 51
-              hcst: 25
-            calendar: "proleptic_gregorian"
-            time_stamp_lag: "0"
-            reference_grid: "conf/grid_description/griddes_system51c3s.txt"
-        Meteo-France-System7:
-            name: "Meteo-France System 7"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/meteofrance/system7c3s/"
-            monthly_mean: {"tas":"_f6h/", "g500":"_f12h/",
-                           "prlr":"_f24h/", "sfcWind": "_f6h/",
-                           "tasmax":"_f6h/", "tasmin": "_f6h/"}
-            nmember:
-              fcst: 51
-              hcst: 25
-            time_stamp_lag: "+1"
-            calendar: "proleptic_gregorian"
-            reference_grid: "conf/grid_description/griddes_system7c3s.txt"
-        DWD-GCFS2.1:
-            name: "DWD GCFS 2.1"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/dwd/system21_m1/"
-            monthly_mean: {"tas":"_f6h/", "prlr":"_f24h/",
-                           "g500":"_f12h/", "sfcWind":"_f6h/",
-                           "tasmin":"_f24h/", "tasmax":"_f24h/"}
-            nmember:
-              fcst: 50
-              hcst: 30
-            calendar: "proleptic_gregorian"
-            time_stamp_lag: "+1"
-            reference_grid: "conf/grid_description/griddes_system21_m1.txt"
-        CMCC-SPS3.5:
-            name: "CMCC-SPS3.5"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/cmcc/system35c3s/"
-            monthly_mean: {"tas":"_f6h/", "g500":"_f12h/",
-                           "prlr":"_f24h/", "sfcWind": "_f6h/",
-                           "tasmax":"_f24h/", "tasmin":"_f24h"}
-            nmember:
-              fcst: 50
-              hcst: 40
-            calendar: "proleptic_gregorian"
-            time_stamp_lag: "+1"
-            reference_grid: "conf/grid_description/griddes_system35c3s.txt"
-        JMA-CPS2:
-            name: "JMA System 2"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/jma/system2c3s/"
-            monthly_mean: {"tas":"_f6h/", "prlr":"_f6h/",
-                           "tasmax":"_f6h/", "tasmin":"_f6h/"}
-            nmember:
-              fcst: 10
-              hcst: 10
+              hcst: 51
             calendar: "proleptic_gregorian"
             time_stamp_lag: "+1"
-            reference_grid: "conf/grid_description/griddes_system2c3s.txt"
-        ECCC-CanCM4i:
-            name: "ECCC CanCM4i"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/eccc/eccc1/"
-            monthly_mean: {"tas":"_f6h/", "prlr":"_f6h/",
-                           "tasmax":"_f6h/", "tasmin":"_f6h/"}
-            nmember:
-              fcst: 10
-              hcst: 10
-            calendar: "proleptic_gregorian"
-            time_stamp_lag: "+1"
-            reference_grid: "conf/grid_description/griddes_eccc1.txt"
-        UK-MetOffice-Glosea600:
-            name: "UK MetOffice GloSea 6 (v6.0)"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "exp/ukmo/glosea6_system600-c3s/"
-            monthly_mean: {"tas":"_f6h/", "tasmin":"_f24h/",
-                           "tasmax":"_f24h/", "prlr":"_f24h/"}
-            nmember:
-              fcst: 62
-              hcst: 28
-            calendar: "proleptic_gregorian"
-            time_stamp_lag: "+1"
-            reference_grid: "conf/grid_description/griddes_ukmo600.txt"
-        NCEP-CFSv2:
-            name: "NCEP CFSv2"
-            institution: "NOAA NCEP" #?
-            src: "exp/ncep/cfs-v2/"
-            monthly_mean: {"tas":"_f6h/", "prlr":"_f6h/",
-                           "tasmax":"_f6h/", "tasmin":"_f6h/"}
-            nmember:
-              fcst: 20
-              hcst: 20
-            calendar: "gregorian"
-            time_stamp_lag: "0"
-            reference_grid: "conf/grid_description/griddes_ncep-cfsv2.txt"
+            reference_grid: "conf/grid_description/griddes_GRIB_system5_m1.txt"
     Reference:
         ERA5:
             name: "ERA5"
             institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "recon/ecmwf/era5/"
-            daily_mean: {"tas":"_f1h-r1440x721cds/",
-                         "rsds":"_f1h-r1440x721cds/",
-                         "prlr":"_f1h-r1440x721cds/",
-                          "g300":"_f1h-r1440x721cds/",
-                         "g500":"_f1h-r1440x721cds/",
-                         "g850":"_f1h-r1440x721cds/",
-                         "sfcWind":"_f1h-r1440x721cds/",
-                         "tasmax":"_f1h-r1440x721cds/",
-                         "tasmin":"_f1h-r1440x721cds/",
-                         "ta300":"_f1h-r1440x721cds/",
-                         "ta500":"_f1h-r1440x721cds/", 
-                         "ta850":"_f1h-r1440x721cds/",
-                         "hurs":"_f1h-r1440x721cds/"}
-            monthly_mean: {"tas":"_f1h-r1440x721cds/",
-                           "prlr":"_f1h-r1440x721cds/",
-                           "rsds":"_f1h-r1440x721cds/",
-                           "g300":"_f1h-r1440x721cds/",
-                           "g500":"_f1h-r1440x721cds/",
-                           "g850":"_f1h-r1440x721cds/",
-                           "sfcWind":"_f1h-r1440x721cds/",
-                           "tasmax":"_f1h-r1440x721cds/",
-                           "tasmin":"_f1h-r1440x721cds/",
-                           "ta300":"_f1h-r1440x721cds/",
-                           "ta500":"_f1h-r1440x721cds/", 
-                           "ta850":"_f1h-r1440x721cds/"}
+            src: "GRIB_era5_tas/"
+            monthly_mean: {"tas":""}
             calendar: "standard"
-            reference_grid: "/esarchive/recon/ecmwf/era5/monthly_mean/tas_f1h-r1440x721cds/tas_201805.nc"
-        ERA5-Land:
-            name: "ERA5-Land"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "recon/ecmwf/era5land/"
-            daily_mean: {"tas":"_f1h/", "rsds":"_f1h/",
-                         "prlr":"_f1h/", "sfcWind":"_f1h/"}
-            monthly_mean: {"tas":"_f1h/","tasmin":"_f24h/",
-                           "tasmax":"_f24h/", "prlr":"_f1h/",
-                           "sfcWind":"_f1h/", "rsds":"_f1h/",
-                           "tdps":"_f1h/"}
-            calendar: "proleptic_gregorian"
-            reference_grid: "/esarchive/recon/ecmwf/era5land/daily_mean/tas_f1h/tas_201805.nc"
-        UERRA:
-            name: "ECMWF UERRA"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "recon/ecmwf/uerra_mescan/"
-            daily_mean: {"tas":"_f6h/"}
-            monthly_mean: {"tas":"_f6h/"}
-            calendar: "proleptic_gregorian"
-            reference_grid: "/esarchive/recon/ecmwf/uerra_mescan/daily_mean/tas_f6h/tas_201805.nc"
+            reference_grid: "conf/grid_description/griddes_GRIB_system5_m1.txt"
diff --git a/conf/archive_GRIB.yml b/conf/archive_GRIB.yml
deleted file mode 100644
index c01e6a11..00000000
--- a/conf/archive_GRIB.yml
+++ /dev/null
@@ -1,24 +0,0 @@
-archive:
-    src: "/esarchive/scratch/aho/tmp/GRIB/"  #"/mars/"
-    System:
-        ECMWF-SEAS5:
-            name: "ECMWF SEAS5"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "GRIB_system5_tas_CORRECTED/"
-            monthly_mean: {"tas":""}
-            nmember:
-              fcst: 51
-              hcst: 51
-            calendar: "proleptic_gregorian"
-            time_stamp_lag: "+1"
-            reference_grid: "conf/grid_description/griddes_GRIB_system5_m1.txt"
-    Reference:
-        ERA5:
-            name: "ERA5"
-            institution: "European Centre for Medium-Range Weather Forecasts"
-            src: "GRIB_era5_tas/"
-            monthly_mean: {"tas":""}
-            calendar: "standard"
-            reference_grid: "conf/grid_description/griddes_GRIB_system5_m1.txt"
-
-
diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index 313dc0a8..8e19dd82 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -27,7 +27,7 @@ load_datasets <- function(recipe) {
   store.freq <- recipe$Analysis$Variables$freq
 
   # get MARS datasets dict:
-  archive <- read_yaml("conf/archive_GRIB.yml")$archive
+  archive <- read_yaml("conf/archive_GRIB.yml")[[recipe$Run$filesystem]]
   exp_descrip <- archive$System[[exp.name]]
   freq.hcst <- unlist(exp_descrip[[store.freq]][variable])
   reference_descrip <- archive$Reference[[ref.name]]
diff --git a/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml b/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml
index e50aa2a3..71615afd 100644
--- a/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml
+++ b/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml
@@ -47,4 +47,5 @@ Run:
   Terminal: yes
   output_dir: ./tests/out-logs/
   code_dir: /esarchive/scratch/aho/git/auto-s2s/
+  filesystem: mars
 
-- 
GitLab


From d4625b9163169386c5558e197296113bee172229 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Mon, 27 Mar 2023 12:02:31 +0200
Subject: [PATCH 17/84] Adjustments to run in the condaCerise env

---
 ...tion-v4.sh => auto-verification-CERISE.sh} |  0
 autosubmit/conf_mars/autosubmit.yml           |  2 +-
 modules/Loading/GRIB/GrbLoad.R                |  3 ++-
 modules/Loading/Loading_GRIB.R                |  5 ++--
 modules/test_parallel_GRIB.R                  | 27 +++++++++++++++++++
 recipes/tests/recipe_autosubmit_marstest.yml  | 23 +++++++---------
 6 files changed, 43 insertions(+), 17 deletions(-)
 rename autosubmit/{auto-verification-v4.sh => auto-verification-CERISE.sh} (100%)
 create mode 100644 modules/test_parallel_GRIB.R

diff --git a/autosubmit/auto-verification-v4.sh b/autosubmit/auto-verification-CERISE.sh
similarity index 100%
rename from autosubmit/auto-verification-v4.sh
rename to autosubmit/auto-verification-CERISE.sh
diff --git a/autosubmit/conf_mars/autosubmit.yml b/autosubmit/conf_mars/autosubmit.yml
index 0fd5d5c6..03008116 100644
--- a/autosubmit/conf_mars/autosubmit.yml
+++ b/autosubmit/conf_mars/autosubmit.yml
@@ -1,6 +1,6 @@
 config:
   EXPID:
-  AUTOSUBMIT_VERSION: 4.0.0b0
+  AUTOSUBMIT_VERSION: 4.0.73
   MAXWAITINGJOBS: 16
   # Default maximum number of jobs to be running at the same time at any platform
   # Default: 6
diff --git a/modules/Loading/GRIB/GrbLoad.R b/modules/Loading/GRIB/GrbLoad.R
index 5f15f627..29bcc8a3 100644
--- a/modules/Loading/GRIB/GrbLoad.R
+++ b/modules/Loading/GRIB/GrbLoad.R
@@ -167,7 +167,8 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
   if (is.null(has.memb)) {  # obs doesn't have memb; reshape syear/time dim
     result <- s2dv::Reorder(result, c("syear", "time", "latitude", "longitude"))
     result <- array(result, dim = c(dat = 1, var = 1, 
-                                    syear_time_dim, dim(result)[3:4]))
+                                    syear_time_dim, dim(result)[3:4],
+				    ensemble = 1))
   } else {
     result <- array(result, dim = c(dim(result)[1:2], ensemble = has.memb,
                                     time = length(time_step), dim(result)[4]))
diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index 8e19dd82..6db2e6cd 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -27,7 +27,7 @@ load_datasets <- function(recipe) {
   store.freq <- recipe$Analysis$Variables$freq
 
   # get MARS datasets dict:
-  archive <- read_yaml("conf/archive_GRIB.yml")[[recipe$Run$filesystem]]
+  archive <- read_yaml("conf/archive.yml")[[recipe$Run$filesystem]]
   exp_descrip <- archive$System[[exp.name]]
   freq.hcst <- unlist(exp_descrip[[store.freq]][variable])
   reference_descrip <- archive$Reference[[ref.name]]
@@ -254,7 +254,8 @@ load_datasets <- function(recipe) {
                                   syear = hcst.year,
                                   time = hcst.ftime,
                                   latitude = attr(obs, 'latitude'), 
-                                  longitude = attr(obs, 'longitude')),
+                                  longitude = attr(obs, 'longitude'),
+				  ensemble = 1),
                     varName = attr(obs, 'shortName'),
                     metadata = metadata_list,
                     Dates = attributes(obs)$time,
diff --git a/modules/test_parallel_GRIB.R b/modules/test_parallel_GRIB.R
new file mode 100644
index 00000000..a13f9e59
--- /dev/null
+++ b/modules/test_parallel_GRIB.R
@@ -0,0 +1,27 @@
+source("modules/Loading/GRIB/GrbLoad.R")
+source("modules/Loading/Loading_GRIB.R")
+source('modules/Loading/GRIB/s2dv_cube.R')
+source("modules/Calibration/Calibration.R")
+source("modules/Anomalies/Anomalies.R")
+source("modules/Skill/Skill.R")
+source("modules/Saving/Saving.R")
+source("modules/Visualization/Visualization.R")
+
+args = commandArgs(trailingOnly = TRUE)
+recipe_file <- args[1]
+recipe <- read_atomic_recipe(recipe_file)
+# Load datasets
+data <- load_datasets(recipe)
+# Calibrate datasets
+data <- calibrate_datasets(recipe, data)
+# Compute anomalies
+data <- compute_anomalies(recipe, data)
+# Compute skill metrics 
+skill_metrics <- compute_skill_metrics(recipe, data)
+# Compute percentiles and probability bins
+probabilities <- compute_probabilities(recipe, data)
+# Export all data to netCDF
+save_data(recipe, data, skill_metrics, probabilities)
+# Plot data
+plot_data(recipe, data, skill_metrics, probabilities,
+	  significance = T)
diff --git a/recipes/tests/recipe_autosubmit_marstest.yml b/recipes/tests/recipe_autosubmit_marstest.yml
index dfd2159f..14e86231 100644
--- a/recipes/tests/recipe_autosubmit_marstest.yml
+++ b/recipes/tests/recipe_autosubmit_marstest.yml
@@ -4,7 +4,7 @@
 
 Description:
   Author: V. Agudetse
-  Info: Test Independent verification of two variables, two sdates, two systems
+  Info: Test Autosubmit WF for CERISE
 
 ################################################################################
 ## ANALYSIS CONFIGURATION
@@ -14,28 +14,25 @@ Analysis:
   Horizon: Seasonal
   Variables: # ECVs and Indicators?
     - {name: tas, freq: monthly_mean}
-    - {name: prlr, freq: monthly_mean}
   Datasets:
     System: # multiple systems for single model, split if Multimodel = F
       - {name: ECMWF-SEAS5}
-      - {name: Meteo-France-System7}
     Multimodel: False # single option
     Reference:
       - {name: ERA5} # multiple references for single model?
   Time:
     sdate: # list, split
       - '0101'
-      - '0201'
-    fcst_year: # list, don't split, handled internally
+    fcst_year: '2020' # list, don't split, handled internally
     hcst_start: '2000' # single option
-    hcst_end: '2016' # single option
+    hcst_end: '2003' # single option
     ftime_min: 1 # single option
-    ftime_max: 6 # single option
+    ftime_max: 3 # single option
   Region: # multiple lists, Add region name if there is more than 1 region
-    - {latmin: -10, latmax: 10, lonmin: -10, lonmax: 10}
+    - {latmin: -90, latmax: 90, lonmin: 0, lonmax: 360}
   Regrid:
-    method: conservative
-    type: to_system
+    method: bilinear
+    type: r360x180
   Workflow:
     Anomalies:
       compute: yes
@@ -48,7 +45,7 @@ Analysis:
       percentiles: [[1/3, 2/3], [1/10, 9/10], [1/4, 2/4, 3/4]] # list, don't split
     Indicators:
       index: no # ? 
-  ncores: 8
+  ncores: 14
   remove_NAs: yes # bool, don't split
   Output_format: S2S4E # string, don't split
 
@@ -64,11 +61,11 @@ Run:
   autosubmit: yes
   # fill only if using autosubmit
   auto_conf:
-    script: /esarchive/scratch/vagudets/repos/auto-s2s/modules/test_parallel_workflow.R # path to the script to run
+    script: /esarchive/scratch/vagudets/repos/auto-s2s/modules/test_parallel_GRIB.R # path to the script to run
     expid: a5ta ## if left empty, create new exp?
     hpc_user: bsc32762 # your hpc username
     wallclock: 04:00 # hh:mm
-    processors_per_job: 8 # use ncores parameter?
+    processors_per_job: 14 # use ncores parameter?
     platform: nord3v2 # make this constant?
     email_notifications: yes # enable/disable email notifications
     email_address: victoria.agudetse@bsc.es # email address for notifications
-- 
GitLab


From d3ec5f10f4a992332019999947377f51b5775ea5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Pierre-Antoine=20Bretonni=C3=A8re?=
 <pierre-antoine.bretonniere@bsc.es>
Date: Mon, 27 Mar 2023 12:41:46 +0200
Subject: [PATCH 18/84] Add conda installation scripts

---
 conda_installation/environment-cerise.yml | 364 ++++++++++++++++++++++
 conda_installation/load_cerise.bash       |  11 +
 2 files changed, 375 insertions(+)
 create mode 100644 conda_installation/environment-cerise.yml
 create mode 100755 conda_installation/load_cerise.bash

diff --git a/conda_installation/environment-cerise.yml b/conda_installation/environment-cerise.yml
new file mode 100644
index 00000000..d3eedd56
--- /dev/null
+++ b/conda_installation/environment-cerise.yml
@@ -0,0 +1,364 @@
+name: condaCerise
+channels:
+  - r
+  - conda-forge
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_gnu
+  - _r-mutex=1.0.1=anacondar_1
+  - alsa-lib=1.2.8=h166bdaf_0
+  - atk-1.0=2.38.0=hd4edc92_1
+  - attr=2.5.1=h166bdaf_1
+  - binutils_impl_linux-64=2.40=hf600244_0
+  - brotli=1.0.9=h166bdaf_8
+  - brotli-bin=1.0.9=h166bdaf_8
+  - brotlipy=0.7.0=py37h540881e_1004
+  - bwidget=1.9.14=ha770c72_1
+  - bzip2=1.0.8=h7f98852_4
+  - c-ares=1.18.1=h7f98852_0
+  - ca-certificates=2022.12.7=ha878542_0
+  - cairo=1.16.0=ha61ee94_1014
+  - cdo=2.1.1=h4f55462_2
+  - certifi=2022.12.7=pyhd8ed1ab_0
+  - cffi=1.15.1=py37h43b0acd_1
+  - colorama=0.4.6=pyhd8ed1ab_0
+  - conda=4.14.0=py37h89c1867_0
+  - conda-package-handling=1.9.0=py37h540881e_0
+  - cov-core=1.15.0=py_1
+  - curl=7.88.1=hdc1c0ab_1
+  - cycler=0.11.0=pyhd8ed1ab_0
+  - dbus=1.13.6=h5008d03_3
+  - eccodes=2.29.0=h7986f14_1
+  - expat=2.5.0=h27087fc_0
+  - fftw=3.3.10=nompi_hf0379b8_106
+  - findlibs=0.0.2=pyhd8ed1ab_0
+  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
+  - font-ttf-inconsolata=3.000=h77eed37_0
+  - font-ttf-source-code-pro=2.038=h77eed37_0
+  - font-ttf-ubuntu=0.83=hab24e00_0
+  - fontconfig=2.14.2=h14ed4e7_0
+  - fonts-conda-ecosystem=1=0
+  - fonts-conda-forge=1=0
+  - fonttools=4.38.0=py37h540881e_0
+  - freeglut=3.2.2=h9c3ff4c_1
+  - freetype=2.12.1=hca18f0e_1
+  - fribidi=1.0.10=h36c2ea0_0
+  - gcc_impl_linux-64=12.2.0=hcc96c02_19
+  - gdk-pixbuf=2.42.10=h05c8ddd_0
+  - gettext=0.21.1=h27087fc_0
+  - gfortran_impl_linux-64=12.2.0=h55be85b_19
+  - giflib=5.2.1=h0b41bf4_3
+  - glib=2.74.1=h6239696_1
+  - glib-tools=2.74.1=h6239696_1
+  - graphite2=1.3.13=h58526e2_1001
+  - graphviz=7.1.0=h2e5815a_0
+  - gsl=2.7=he838d99_0
+  - gst-plugins-base=1.22.0=h4243ec0_2
+  - gstreamer=1.22.0=h25f0c4b_2
+  - gstreamer-orc=0.4.33=h166bdaf_0
+  - gtk2=2.24.33=h90689f9_2
+  - gts=0.7.6=h64030ff_2
+  - gxx_impl_linux-64=12.2.0=hcc96c02_19
+  - harfbuzz=6.0.0=h8e241bc_0
+  - hdf4=4.2.15=h9772cbc_5
+  - hdf5=1.12.2=nompi_h4df4325_101
+  - icu=70.1=h27087fc_0
+  - idna=3.4=pyhd8ed1ab_0
+  - jack=1.9.22=h11f4161_0
+  - jasper=4.0.0=h0ff4b12_0
+  - jpeg=9e=h0b41bf4_3
+  - kernel-headers_linux-64=2.6.32=he073ed8_15
+  - keyutils=1.6.1=h166bdaf_0
+  - kiwisolver=1.4.4=py37h7cecad7_0
+  - krb5=1.20.1=h81ceb04_0
+  - lame=3.100=h166bdaf_1003
+  - lcms2=2.15=hfd0df8a_0
+  - ld_impl_linux-64=2.40=h41732ed_0
+  - lerc=4.0.0=h27087fc_0
+  - libaec=1.0.6=hcb278e6_1
+  - libblas=3.9.0=16_linux64_openblas
+  - libbrotlicommon=1.0.9=h166bdaf_8
+  - libbrotlidec=1.0.9=h166bdaf_8
+  - libbrotlienc=1.0.9=h166bdaf_8
+  - libcap=2.66=ha37c62d_0
+  - libcblas=3.9.0=16_linux64_openblas
+  - libclang=15.0.7=default_had23c3d_1
+  - libclang13=15.0.7=default_h3e3d535_1
+  - libcups=2.3.3=h36d4200_3
+  - libcurl=7.88.1=hdc1c0ab_1
+  - libdb=6.2.32=h9c3ff4c_0
+  - libdeflate=1.17=h0b41bf4_0
+  - libedit=3.1.20191231=he28a2e2_2
+  - libev=4.33=h516909a_1
+  - libevent=2.1.10=h28343ad_4
+  - libffi=3.4.2=h7f98852_5
+  - libflac=1.4.2=h27087fc_0
+  - libgcc-devel_linux-64=12.2.0=h3b97bd3_19
+  - libgcc-ng=12.2.0=h65d4601_19
+  - libgcrypt=1.10.1=h166bdaf_0
+  - libgd=2.3.3=h5aea950_4
+  - libgfortran-ng=12.2.0=h69a702a_19
+  - libgfortran5=12.2.0=h337968e_19
+  - libglib=2.74.1=h606061b_1
+  - libglu=9.0.0=he1b5a44_1001
+  - libgomp=12.2.0=h65d4601_19
+  - libgpg-error=1.46=h620e276_0
+  - libiconv=1.17=h166bdaf_0
+  - liblapack=3.9.0=16_linux64_openblas
+  - libllvm15=15.0.7=hadd5161_1
+  - libnetcdf=4.9.1=nompi_h34a3ff0_101
+  - libnghttp2=1.52.0=h61bc06f_0
+  - libnsl=2.0.0=h7f98852_0
+  - libogg=1.3.4=h7f98852_1
+  - libopenblas=0.3.21=pthreads_h78a6416_3
+  - libopus=1.3.1=h7f98852_1
+  - libpng=1.6.39=h753d276_0
+  - libpq=15.2=hb675445_0
+  - librsvg=2.54.4=h7abd40a_0
+  - libsanitizer=12.2.0=h46fd767_19
+  - libsndfile=1.2.0=hb75c966_0
+  - libsodium=1.0.18=h36c2ea0_1
+  - libsqlite=3.40.0=h753d276_0
+  - libssh2=1.10.0=hf14f497_3
+  - libstdcxx-devel_linux-64=12.2.0=h3b97bd3_19
+  - libstdcxx-ng=12.2.0=h46fd767_19
+  - libsystemd0=252=h2a991cd_0
+  - libtiff=4.5.0=h6adf6a1_2
+  - libtool=2.4.7=h27087fc_0
+  - libudev1=253=h0b41bf4_0
+  - libuuid=2.32.1=h7f98852_1000
+  - libvorbis=1.3.7=h9c3ff4c_0
+  - libwebp=1.2.4=h1daa5a0_1
+  - libwebp-base=1.2.4=h166bdaf_0
+  - libxcb=1.13=h7f98852_1004
+  - libxkbcommon=1.5.0=h79f4944_1
+  - libxml2=2.10.3=hca2bb57_4
+  - libzip=1.9.2=hc929e4a_1
+  - libzlib=1.2.13=h166bdaf_4
+  - lz4-c=1.9.4=hcb278e6_0
+  - magics=4.13.0=h37abd2f_1
+  - magics-python=1.5.8=pyhd8ed1ab_1
+  - make=4.3=hd18ef5c_1
+  - matplotlib=3.5.3=py37h89c1867_2
+  - matplotlib-base=3.5.3=py37hf395dca_2
+  - mock=5.0.1=pyhd8ed1ab_0
+  - mpg123=1.31.3=hcb278e6_0
+  - munkres=1.1.4=pyh9f0ad1d_0
+  - mysql-common=8.0.32=ha901b37_0
+  - mysql-libs=8.0.32=hd7da12d_0
+  - ncurses=6.3=h27087fc_1
+  - nose=1.3.7=py_1006
+  - nose-cov=1.6=py_1
+  - nspr=4.35=h27087fc_0
+  - nss=3.89=he45b914_0
+  - numpy=1.21.6=py37h976b520_0
+  - openssl=3.1.0=h0b41bf4_0
+  - packaging=23.0=pyhd8ed1ab_0
+  - pandas=1.3.5=py37he8f5f7f_0
+  - pango=1.50.14=hd33c08f_0
+  - paramiko=3.1.0=pyhd8ed1ab_0
+  - pcre2=10.40=hc3806b6_0
+  - phantomjs=2.1.1=1
+  - pillow=9.4.0=py37h6a678d5_0
+  - pip=23.0.1=pyhd8ed1ab_0
+  - pixman=0.40.0=h36c2ea0_0
+  - ply=3.11=py_1
+  - proj=9.1.1=h8ffa02c_2
+  - pthread-stubs=0.4=h36c2ea0_1001
+  - pulseaudio=16.1=ha8d29e2_1
+  - pycosat=0.6.4=py37h540881e_0
+  - pycparser=2.21=pyhd8ed1ab_0
+  - pynacl=1.5.0=py37h540881e_1
+  - pyopenssl=23.0.0=pyhd8ed1ab_0
+  - pyparsing=3.0.9=pyhd8ed1ab_0
+  - pyqt=5.15.7=py37hf30b843_1
+  - pyqt5-sip=12.11.0=py37hd23a5d3_1
+  - pysocks=1.7.1=py37h89c1867_5
+  - python=3.7.12=hf930737_100_cpython
+  - python-dateutil=2.8.2=pyhd8ed1ab_0
+  - python_abi=3.7=3_cp37m
+  - pytz=2022.7.1=pyhd8ed1ab_0
+  - qt-main=5.15.8=h5d23da1_6
+  - r-abind=1.4_5=r42hc72bb7e_1004
+  - r-assertthat=0.2.1=r42hc72bb7e_3
+  - r-base=4.2.3=ha7d60f8_0
+  - r-bigmemory=4.6.1=r42h7525677_1
+  - r-bigmemory.sri=0.1.6=r42hc72bb7e_0
+  - r-brio=1.1.3=r42h76d94ec_0
+  - r-callr=3.7.0=r42h6115d3f_0
+  - r-cli=3.6.0=r42h38f115c_0
+  - r-climdex.pcic=1.1_11=r42h7525677_1
+  - r-climprojdiags=0.3.0=r42hc72bb7e_0
+  - r-clock=0.6.1=r42h7525677_1
+  - r-codetools=0.2_19=r42hc72bb7e_0
+  - r-colorspace=2.1_0=r42h133d619_0
+  - r-configr=0.3.5=r42hc72bb7e_0
+  - r-cpp11=0.4.3=r42hc72bb7e_0
+  - r-crayon=1.5.2=r42hc72bb7e_1
+  - r-desc=1.4.1=r42h6115d3f_0
+  - r-diffobj=0.3.5=r42h76d94ec_0
+  - r-digest=0.6.31=r42h38f115c_0
+  - r-doparallel=1.0.17=r42hc72bb7e_1
+  - r-dotcall64=1.0_2=r42hac0b197_1
+  - r-easyncdf=0.1.1=r42hc72bb7e_1
+  - r-easyverification=0.4.4=r42h7525677_2
+  - r-ellipsis=0.3.2=r42h06615bd_1
+  - r-evaluate=0.15=r42h6115d3f_0
+  - r-fansi=1.0.4=r42h133d619_0
+  - r-farver=2.1.1=r42h7525677_1
+  - r-fields=14.1=r42hac0b197_1
+  - r-foreach=1.5.2=r42hc72bb7e_1
+  - r-future=1.32.0=r42hc72bb7e_0
+  - r-generics=0.1.2=r42h142f84f_0
+  - r-geomap=2.5_0=r42h06615bd_1
+  - r-geomapdata=2.0_0=r42hc72bb7e_1
+  - r-ggplot2=3.4.1=r42hc72bb7e_0
+  - r-globals=0.16.2=r42hc72bb7e_0
+  - r-glue=1.6.2=r42h06615bd_1
+  - r-gribr=1.2.4=r42h9ecb321_2
+  - r-gridextra=2.3=r42hc72bb7e_1004
+  - r-gtable=0.3.3=r42hc72bb7e_0
+  - r-ini=0.3.1=r42hc72bb7e_1004
+  - r-isoband=0.2.7=r42h38f115c_1
+  - r-iterators=1.0.14=r42hc72bb7e_1
+  - r-jsonlite=1.8.0=r42h76d94ec_0
+  - r-labeling=0.4.2=r42hc72bb7e_2
+  - r-lattice=0.20_45=r42h06615bd_1
+  - r-lifecycle=1.0.3=r42hc72bb7e_1
+  - r-listenv=0.9.0=r42hc72bb7e_0
+  - r-lobstr=1.1.2=r42h38f115c_2
+  - r-log4r=0.4.3=r42h06615bd_0
+  - r-lubridate=1.8.0=r42h884c59f_0
+  - r-magrittr=2.0.3=r42h06615bd_1
+  - r-mapproj=1.2.11=r42h133d619_0
+  - r-maps=3.4.1=r42h06615bd_1
+  - r-mass=7.3_58.3=r42h133d619_0
+  - r-matrix=1.5_3=r42h5f7b363_0
+  - r-mba=0.1_0=r42h7525677_0
+  - r-mgcv=1.8_42=r42he1ae0d6_0
+  - r-multiapply=2.1.3=r42hc72bb7e_1
+  - r-munsell=0.5.0=r42hc72bb7e_1005
+  - r-nbclust=3.0.1=r42hc72bb7e_1
+  - r-ncdf4=1.21=r42h93dc0a4_1
+  - r-nlme=3.1_162=r42hac0b197_0
+  - r-parallelly=1.34.0=r42hc72bb7e_0
+  - r-pbapply=1.7_0=r42hc72bb7e_0
+  - r-pcict=0.5_4.4=r42h133d619_0
+  - r-pillar=1.8.1=r42hc72bb7e_1
+  - r-pkgconfig=2.0.3=r42hc72bb7e_2
+  - r-pkgload=1.2.4=r42h142f84f_0
+  - r-plyr=1.8.8=r42h7525677_0
+  - r-praise=1.0.0=r42h6115d3f_4
+  - r-prettyunits=1.1.1=r42hc72bb7e_2
+  - r-processx=3.5.3=r42h76d94ec_0
+  - r-proj4=1.0_12=r42h66e2efa_1
+  - r-pryr=0.1.6=r42h38f115c_0
+  - r-ps=1.7.0=r42h76d94ec_0
+  - r-r6=2.5.1=r42hc72bb7e_1
+  - r-rcolorbrewer=1.1_3=r42h785f33e_1
+  - r-rcpp=1.0.10=r42h38f115c_0
+  - r-rcpparmadillo=0.11.4.4.0=r42h358215d_0
+  - r-rcpptoml=0.1.7=r42h7525677_2
+  - r-rematch2=2.1.2=r42h142f84f_0
+  - r-rlang=1.1.0=r42h38f115c_0
+  - r-rpmg=2.2_3=r42hc72bb7e_2
+  - r-rprojroot=2.0.3=r42h6115d3f_0
+  - r-rstudioapi=0.13=r42h6115d3f_0
+  - r-s2dv=1.4.0=r42hc72bb7e_0
+  - r-s2dverification=2.10.3=r42hc72bb7e_1
+  - r-scales=1.2.1=r42hc72bb7e_1
+  - r-sp=1.6_0=r42h133d619_0
+  - r-spam=2.9_1=r42hb20cf53_1
+  - r-specsverification=0.5_3=r42h7525677_2
+  - r-splancs=2.01_43=r42h8da6f51_1
+  - r-startr=2.2.1=r42hc72bb7e_0
+  - r-stringi=1.7.12=r42h1ae9187_0
+  - r-stringr=1.5.0=r42h785f33e_0
+  - r-testthat=3.1.4=r42h884c59f_0
+  - r-tibble=3.2.1=r42h133d619_1
+  - r-tzdb=0.3.0=r42h7525677_1
+  - r-utf8=1.2.3=r42h133d619_0
+  - r-uuid=1.1_0=r42h06615bd_1
+  - r-vctrs=0.6.0=r42h38f115c_0
+  - r-viridis=0.6.2=r42hc72bb7e_1
+  - r-viridislite=0.4.1=r42hc72bb7e_1
+  - r-waldo=0.4.0=r42h6115d3f_0
+  - r-withr=2.5.0=r42hc72bb7e_1
+  - r-yaml=2.3.7=r42h133d619_0
+  - readline=8.1.2=h0f457ee_0
+  - requests=2.28.2=pyhd8ed1ab_0
+  - ruamel_yaml=0.15.80=py37h540881e_1007
+  - scipy=1.7.3=py37hf2a6cf1_0
+  - sed=4.8=he412f7d_0
+  - simplejson=3.17.6=py37h540881e_1
+  - sip=6.7.2=py37hd23a5d3_0
+  - six=1.16.0=pyh6c4a22f_0
+  - sqlite=3.40.0=h4ff8645_0
+  - sysroot_linux-64=2.12=he073ed8_15
+  - tk=8.6.12=h27826a3_0
+  - tktable=2.10=hb7b940f_3
+  - toml=0.10.2=pyhd8ed1ab_0
+  - tomli=2.0.1=pyhd8ed1ab_0
+  - toolz=0.12.0=pyhd8ed1ab_0
+  - tornado=6.2=py37h540881e_0
+  - tqdm=4.65.0=pyhd8ed1ab_1
+  - typing-extensions=4.5.0=hd8ed1ab_0
+  - typing_extensions=4.5.0=pyha770c72_0
+  - udunits2=2.2.28=hc3e0081_0
+  - unicodedata2=14.0.0=py37h540881e_1
+  - urllib3=1.26.15=pyhd8ed1ab_0
+  - wheel=0.40.0=pyhd8ed1ab_0
+  - xcb-util=0.4.0=h166bdaf_0
+  - xcb-util-image=0.4.0=h166bdaf_0
+  - xcb-util-keysyms=0.4.0=h166bdaf_0
+  - xcb-util-renderutil=0.3.9=h166bdaf_0
+  - xcb-util-wm=0.4.1=h166bdaf_0
+  - xkeyboard-config=2.38=h0b41bf4_0
+  - xorg-fixesproto=5.0=h7f98852_1002
+  - xorg-inputproto=2.3.2=h7f98852_1002
+  - xorg-kbproto=1.0.7=h7f98852_1002
+  - xorg-libice=1.0.10=h7f98852_0
+  - xorg-libsm=1.2.3=hd9c2040_1000
+  - xorg-libx11=1.8.4=h0b41bf4_0
+  - xorg-libxau=1.0.9=h7f98852_0
+  - xorg-libxdmcp=1.1.3=h7f98852_0
+  - xorg-libxext=1.3.4=h0b41bf4_2
+  - xorg-libxfixes=5.0.3=h7f98852_1004
+  - xorg-libxi=1.7.10=h7f98852_0
+  - xorg-libxrender=0.9.10=h7f98852_1003
+  - xorg-libxt=1.2.1=h7f98852_2
+  - xorg-renderproto=0.11.1=h7f98852_1002
+  - xorg-xextproto=7.3.0=h0b41bf4_1003
+  - xorg-xproto=7.0.31=h7f98852_1007
+  - xz=5.2.6=h166bdaf_0
+  - yaml=0.2.5=h7f98852_2
+  - zlib=1.2.13=h166bdaf_4
+  - zstd=1.5.2=h3eb15da_6
+  - pip:
+      - argparse==1.4.0
+      - attrs==22.2.0
+      - autosubmit==4.0.73
+      - autosubmitconfigparser==1.0.21
+      - bcrypt==4.0.1
+      - bscearth-utils==0.5.2
+      - charset-normalizer==3.1.0
+      - configobj==5.0.8
+      - coverage==7.2.2
+      - cryptography==39.0.2
+      - exceptiongroup==1.1.1
+      - importlib-metadata==6.1.0
+      - iniconfig==2.0.0
+      - networkx==2.6.3
+      - pluggy==1.0.0
+      - portalocker==2.7.0
+      - py3dotplus==1.1.0
+      - pygments==2.14.0
+      - pytest==7.2.2
+      - pythondialog==3.5.3
+      - ruamel-yaml==0.17.21
+      - ruamel-yaml-clib==0.2.7
+      - setuptools==67.6.0
+      - xlib==0.21
+      - zipp==3.15.0
+prefix: /esarchive/scratch/pbretonn/conda-cerise/conda/envs/condaCerise
diff --git a/conda_installation/load_cerise.bash b/conda_installation/load_cerise.bash
new file mode 100755
index 00000000..2247baf4
--- /dev/null
+++ b/conda_installation/load_cerise.bash
@@ -0,0 +1,11 @@
+#!/bin/bash
+
+prefix=$1
+
+if [[ -z $prefix ]]; then
+  conda env create --file environment-cerise.yml
+else
+  conda env create --file environment-cerise.yml --prefix $prefix
+fi
+conda activate condaCerise
+R -e "options(timeout = 600) ; install.packages('CSTools', repos='https://ftp.cixug.es/CRAN/')"                                  
-- 
GitLab


From 866f71e8c6c09fe7a161250e5ef8729cfa98be0e Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 28 Mar 2023 11:42:13 +0200
Subject: [PATCH 19/84] Modify verification CERISE script to load conda env

---
 autosubmit/auto-verification-CERISE.sh | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/autosubmit/auto-verification-CERISE.sh b/autosubmit/auto-verification-CERISE.sh
index e21bef2d..caf2dd0e 100644
--- a/autosubmit/auto-verification-CERISE.sh
+++ b/autosubmit/auto-verification-CERISE.sh
@@ -7,13 +7,16 @@ script=%common.SCRIPT%
 CHUNK=%CHUNK%
 ###############################
 
-## TODO: How to define the script
 cd $proj_dir
 
-# script=modules/test_parallel_workflow.R
 atomic_recipe_number=$(printf "%02d" $CHUNK)
 atomic_recipe=${outdir}/logs/recipes/atomic_recipe_${atomic_recipe_number}.yml
 
-source MODULES
+## Workaround to avoid bug in conda activate/source activate when running
+## inside bash script
+set +eu
+source /gpfs/projects/bsc32/software/suselinux/11/software/Miniconda3/4.7.10/etc/profile.d/conda.sh
+conda activate /esarchive/scratch/vagudets/conda-cerise/conda/envs
+set -eu
 
 Rscript ${script} ${atomic_recipe}
-- 
GitLab


From aa11e231b19443bfb1d011192e18efe69aa1374d Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 6 Apr 2023 15:41:11 +0200
Subject: [PATCH 20/84] fix MARS recipe

---
 recipes/tests/recipe_autosubmit_marstest.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/recipes/tests/recipe_autosubmit_marstest.yml b/recipes/tests/recipe_autosubmit_marstest.yml
index 14e86231..f90f2da2 100644
--- a/recipes/tests/recipe_autosubmit_marstest.yml
+++ b/recipes/tests/recipe_autosubmit_marstest.yml
@@ -56,7 +56,7 @@ Run:
   Loglevel: INFO
   Terminal: yes
   filesystem: mars
-  output_dir: /esarchive/scratch/vagudets/repos/auto-s2s/out-logs/
+  output_dir: /esarchive/scratch/vagudets/auto-s2s-outputs/
   code_dir: /esarchive/scratch/vagudets/repos/auto-s2s/
   autosubmit: yes
   # fill only if using autosubmit
-- 
GitLab


From 6c8ce05d6f76c2530a546f97249fa9c75af3c120 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 6 Apr 2023 16:44:32 +0200
Subject: [PATCH 21/84] Correct MARS test recipe

---
 recipes/tests/recipe_autosubmit_marstest.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/recipes/tests/recipe_autosubmit_marstest.yml b/recipes/tests/recipe_autosubmit_marstest.yml
index f90f2da2..aaec7ed1 100644
--- a/recipes/tests/recipe_autosubmit_marstest.yml
+++ b/recipes/tests/recipe_autosubmit_marstest.yml
@@ -22,7 +22,7 @@ Analysis:
       - {name: ERA5} # multiple references for single model?
   Time:
     sdate: # list, split
-      - '0101'
+      - '1101'
     fcst_year: '2020' # list, don't split, handled internally
     hcst_start: '2000' # single option
     hcst_end: '2003' # single option
-- 
GitLab


From 1f95599a3ab97f9412e19f1af7d07bae2178bbc6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Pierre-Antoine=20Bretonni=C3=A8re?=
 <pierre-antoine.bretonniere@bsc.es>
Date: Mon, 24 Apr 2023 14:27:33 +0200
Subject: [PATCH 22/84] Add shiny server dependencies

---
 conda_installation/environment-cerise.yml | 21 ++++++++++++++++++++-
 conda_installation/load_cerise.bash       |  4 +++-
 2 files changed, 23 insertions(+), 2 deletions(-)

diff --git a/conda_installation/environment-cerise.yml b/conda_installation/environment-cerise.yml
index d3eedd56..44a0e719 100644
--- a/conda_installation/environment-cerise.yml
+++ b/conda_installation/environment-cerise.yml
@@ -153,7 +153,7 @@ dependencies:
   - nspr=4.35=h27087fc_0
   - nss=3.89=he45b914_0
   - numpy=1.21.6=py37h976b520_0
-  - openssl=3.1.0=h0b41bf4_0
+  - openssl=3.1.0=hd590300_1
   - packaging=23.0=pyhd8ed1ab_0
   - pandas=1.3.5=py37he8f5f7f_0
   - pango=1.50.14=hd33c08f_0
@@ -183,9 +183,12 @@ dependencies:
   - r-abind=1.4_5=r42hc72bb7e_1004
   - r-assertthat=0.2.1=r42hc72bb7e_3
   - r-base=4.2.3=ha7d60f8_0
+  - r-base64enc=0.1_3=r42h06615bd_1005
   - r-bigmemory=4.6.1=r42h7525677_1
   - r-bigmemory.sri=0.1.6=r42hc72bb7e_0
   - r-brio=1.1.3=r42h76d94ec_0
+  - r-bslib=0.4.2=r42hc72bb7e_0
+  - r-cachem=1.0.7=r42h133d619_0
   - r-callr=3.7.0=r42h6115d3f_0
   - r-cli=3.6.0=r42h38f115c_0
   - r-climdex.pcic=1.1_11=r42h7525677_1
@@ -193,6 +196,7 @@ dependencies:
   - r-clock=0.6.1=r42h7525677_1
   - r-codetools=0.2_19=r42hc72bb7e_0
   - r-colorspace=2.1_0=r42h133d619_0
+  - r-commonmark=1.9.0=r42h133d619_0
   - r-configr=0.3.5=r42hc72bb7e_0
   - r-cpp11=0.4.3=r42hc72bb7e_0
   - r-crayon=1.5.2=r42hc72bb7e_1
@@ -207,8 +211,11 @@ dependencies:
   - r-evaluate=0.15=r42h6115d3f_0
   - r-fansi=1.0.4=r42h133d619_0
   - r-farver=2.1.1=r42h7525677_1
+  - r-fastmap=1.1.1=r42h38f115c_0
   - r-fields=14.1=r42hac0b197_1
+  - r-fontawesome=0.5.1=r42hc72bb7e_0
   - r-foreach=1.5.2=r42hc72bb7e_1
+  - r-fs=1.6.1=r42h38f115c_0
   - r-future=1.32.0=r42hc72bb7e_0
   - r-generics=0.1.2=r42h142f84f_0
   - r-geomap=2.5_0=r42h06615bd_1
@@ -219,11 +226,15 @@ dependencies:
   - r-gribr=1.2.4=r42h9ecb321_2
   - r-gridextra=2.3=r42hc72bb7e_1004
   - r-gtable=0.3.3=r42hc72bb7e_0
+  - r-htmltools=0.5.5=r42h38f115c_0
+  - r-httpuv=1.6.9=r42h38f115c_0
   - r-ini=0.3.1=r42hc72bb7e_1004
   - r-isoband=0.2.7=r42h38f115c_1
   - r-iterators=1.0.14=r42hc72bb7e_1
+  - r-jquerylib=0.1.4=r42hc72bb7e_1
   - r-jsonlite=1.8.0=r42h76d94ec_0
   - r-labeling=0.4.2=r42hc72bb7e_2
+  - r-later=1.3.0=r42h7525677_1
   - r-lattice=0.20_45=r42h06615bd_1
   - r-lifecycle=1.0.3=r42hc72bb7e_1
   - r-listenv=0.9.0=r42hc72bb7e_0
@@ -236,7 +247,9 @@ dependencies:
   - r-mass=7.3_58.3=r42h133d619_0
   - r-matrix=1.5_3=r42h5f7b363_0
   - r-mba=0.1_0=r42h7525677_0
+  - r-memoise=2.0.1=r42hc72bb7e_1
   - r-mgcv=1.8_42=r42he1ae0d6_0
+  - r-mime=0.12=r42h06615bd_1
   - r-multiapply=2.1.3=r42hc72bb7e_1
   - r-munsell=0.5.0=r42hc72bb7e_1005
   - r-nbclust=3.0.1=r42hc72bb7e_1
@@ -253,9 +266,11 @@ dependencies:
   - r-prettyunits=1.1.1=r42hc72bb7e_2
   - r-processx=3.5.3=r42h76d94ec_0
   - r-proj4=1.0_12=r42h66e2efa_1
+  - r-promises=1.2.0.1=r42h7525677_1
   - r-pryr=0.1.6=r42h38f115c_0
   - r-ps=1.7.0=r42h76d94ec_0
   - r-r6=2.5.1=r42hc72bb7e_1
+  - r-rappdirs=0.3.3=r42h06615bd_1
   - r-rcolorbrewer=1.1_3=r42h785f33e_1
   - r-rcpp=1.0.10=r42h38f115c_0
   - r-rcpparmadillo=0.11.4.4.0=r42h358215d_0
@@ -267,7 +282,10 @@ dependencies:
   - r-rstudioapi=0.13=r42h6115d3f_0
   - r-s2dv=1.4.0=r42hc72bb7e_0
   - r-s2dverification=2.10.3=r42hc72bb7e_1
+  - r-sass=0.4.5=r42h38f115c_0
   - r-scales=1.2.1=r42hc72bb7e_1
+  - r-shiny=1.7.4=r42h785f33e_0
+  - r-sourcetools=0.1.7_1=r42h38f115c_0
   - r-sp=1.6_0=r42h133d619_0
   - r-spam=2.9_1=r42hb20cf53_1
   - r-specsverification=0.5_3=r42h7525677_2
@@ -285,6 +303,7 @@ dependencies:
   - r-viridislite=0.4.1=r42hc72bb7e_1
   - r-waldo=0.4.0=r42h6115d3f_0
   - r-withr=2.5.0=r42hc72bb7e_1
+  - r-xtable=1.8_4=r42hc72bb7e_4
   - r-yaml=2.3.7=r42h133d619_0
   - readline=8.1.2=h0f457ee_0
   - requests=2.28.2=pyhd8ed1ab_0
diff --git a/conda_installation/load_cerise.bash b/conda_installation/load_cerise.bash
index 2247baf4..5d5bb83c 100755
--- a/conda_installation/load_cerise.bash
+++ b/conda_installation/load_cerise.bash
@@ -8,4 +8,6 @@ else
   conda env create --file environment-cerise.yml --prefix $prefix
 fi
 conda activate condaCerise
-R -e "options(timeout = 600) ; install.packages('CSTools', repos='https://ftp.cixug.es/CRAN/')"                                  
+R -e "options(timeout = 600) ; install.packages('CSTools', repos='https://ftp.cixug.es/CRAN/')"
+
+#conda env export > environment-cerise.yml                                  
-- 
GitLab


From bdc229b9cd14eacdd55ed00190145c692ddbf2e4 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Fri, 5 May 2023 15:11:12 +0200
Subject: [PATCH 23/84] Regrid right after each file is loaded

---
 modules/Loading/GRIB/GrbLoad.R |  21 ++++-
 modules/Loading/Loading_GRIB.R | 155 ++++++++++++++++++++-------------
 modules/test_GRIB.R            |   2 -
 3 files changed, 115 insertions(+), 63 deletions(-)

diff --git a/modules/Loading/GRIB/GrbLoad.R b/modules/Loading/GRIB/GrbLoad.R
index 29bcc8a3..1163a459 100644
--- a/modules/Loading/GRIB/GrbLoad.R
+++ b/modules/Loading/GRIB/GrbLoad.R
@@ -4,8 +4,10 @@
 # If exp, has.memb is a number; if obs, has.memb = NULL
 # syear_time_dim is the time attr dim of exp as the input for obs
 #----------------------------------------------------------------------------------
-GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL) {
-
+#--------NEW--------
+GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL,
+                     regrid = NULL) {
+#-------NEW_END-----------
   library(gribr)
 
   result <- vector('list', length = length(dat))
@@ -143,6 +145,21 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL)
    times[[dat_i]] <- cdo_time_attr
 #--------------------------------
 
+  ##################################################################
+  # regrid
+  ##################################################################
+  if (!is.null(regrid)) {
+    # result[[dat_i]]: [longitude, latitude, time]
+    res_data <- s2dv::CDORemap(result[[dat_i]], lons = attr(result, 'longitude'), lats = attr(result, 'latitude'),
+                               grid = regrid$type, method = regrid$method, force_remap = TRUE)
+    if (dat_i == length(dat)) {
+      attr(result, 'longitude') <- res_data$lons
+      attr(result, 'latitude') <- res_data$lats
+    }
+    result[[dat_i]] <- res_data$data_array
+  }
+
+
   ##################################################################
   # Save memory
   rm(memb_ftime); rm(gm1); gc()
diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index 6db2e6cd..619baf19 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -26,6 +26,11 @@ load_datasets <- function(recipe) {
   variable <- recipe$Analysis$Variables$name  #'tas'
   store.freq <- recipe$Analysis$Variables$freq
 
+#-----------NEW---------
+  regrid.method <- recipe$Analysis$Regrid$method
+  regrid.type <- recipe$Analysis$Regrid$type
+#--------NEW_END--------
+
   # get MARS datasets dict:
   archive <- read_yaml("conf/archive.yml")[[recipe$Run$filesystem]]
   exp_descrip <- archive$System[[exp.name]]
@@ -56,7 +61,20 @@ load_datasets <- function(recipe) {
   hcst.year <- paste0(as.numeric(hcst.inityear):as.numeric(hcst.endyear))
   hcst.files <- paste0(hcst.path, variable, '_', hcst.year, hcst.sdate, '.grb')
 
-  hcst <- GrbLoad(dat = as.list(hcst.files), time_step = hcst.ftime, has.memb = hcst.nmember)
+#---------NEW--------------
+  if (!regrid.type %in% c('none', 'to_system')) {
+    if (regrid.type == 'to_reference') {
+      regrid_list <- c(method = regrid.method, type = reference_descrip$reference_grid)
+    } else { # e.g., "r360x181"
+      regrid_list <- list(method = regrid.method, type = regrid.type)
+    }
+  } else {
+    regrid_list <- NULL
+  }
+
+  hcst <- GrbLoad(dat = as.list(hcst.files), time_step = hcst.ftime, has.memb = hcst.nmember,
+                    syear_time_dim = NULL, regrid = regrid_list)
+#-----------NEW_END-----------
   gc()
 
   info(recipe$Run$logger,
@@ -67,8 +85,10 @@ load_datasets <- function(recipe) {
   if (!is.null(fcst.year)) {
     fcst.path <- paste0(archive$src, hcst.dir)
     fcst.files <- paste0(fcst.path, variable, '_', fcst.year, hcst.sdate, '.grb')
-
-    fcst <- GrbLoad(dat = as.list(fcst.files), time_step = hcst.ftime, has.memb = fcst.nmember)
+#----------NEW------------
+    fcst <- GrbLoad(dat = as.list(fcst.files), time_step = hcst.ftime, has.memb = fcst.nmember,
+                    syear_time_dim = NULL, regrid = regrid_list)
+#---------NEW_END----------
     gc()
   } else {
     fcst <- NULL
@@ -87,8 +107,21 @@ load_datasets <- function(recipe) {
 
   obs.files <- paste0(obs.path, variable, '_', hcst_times_strings, '.grb')
 
+#----------NEW-----------
+  if (!regrid.type %in% c('none', 'to_reference')) {
+    if (regrid.type == 'to_system') {
+      regrid_list <- c(method = regrid.method, type = exp_descrip$reference_grid)
+    } else { # e.g., "r360x181"
+      regrid_list <- list(method = regrid.method, type = regrid.type)
+    }
+  } else {
+    regrid_list <- NULL
+  }
+
   #NOTE: only 1 time step in each obs file
-  obs <- GrbLoad(dat = as.list(obs.files), time_step = 1, has.memb = NULL, syear_time_dim = dim(hcst_times))
+  obs <- GrbLoad(dat = as.list(obs.files), time_step = 1, has.memb = NULL, 
+                 syear_time_dim = dim(hcst_times), regrid = regrid_list)
+#--------NEW_END--------
   gc()
 
   info(recipe$Run$logger,
@@ -125,61 +158,65 @@ load_datasets <- function(recipe) {
 
 #################################################################################
 
-  # Regridding
-  #-------------------------------------------------------------------
-  regrid.method <- recipe$Analysis$Regrid$method
-  regrid.type <- recipe$Analysis$Regrid$type
-  if (!is.null(regrid.method) & !is.null(regrid.type)) {
-    if (regrid.type == 'to_reference') {
-      gridtype <- exp_descrip$reference_grid
-      #NOTE: Do we need force_remap?
-      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
-                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-      hcst <- tmp$data_array
-      attr(hcst, 'latitude') <- tmp$lats
-      attr(hcst, 'longitude') <- tmp$lons
-
-      if (!is.null(fcst)) {
-        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
-                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-        fcst <- tmp$data_array
-        attr(fcst, 'latitude') <- tmp$lats
-        attr(fcst, 'longitude') <- tmp$lons
-      }
-
-    } else if (regrid.type == 'to_system') {
-      gridtype <- reference_descrip$reference_grid
-      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
-                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-      obs <- tmp$data_array
-      attr(obs, 'latitude') <- tmp$lats
-      attr(obs, 'longitude') <- tmp$lons
-
-    } else if (regrid.type != 'none') {
-      gridtype <- recipe$Analysis$Regrid$type
-      # hcst
-      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
-                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-      hcst <- tmp$data_array
-      attr(hcst, 'latitude') <- tmp$lats
-      attr(hcst, 'longitude') <- tmp$lons
-      # fcst
-      if (!is.null(fcst)) {
-        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
-                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-        fcst <- tmp$data_array
-        attr(fcst, 'latitude') <- tmp$lats
-        attr(fcst, 'longitude') <- tmp$lons
-      }
-      # obs
-      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
-                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-      obs <- tmp$data_array
-      attr(obs, 'latitude') <- tmp$lats
-      attr(obs, 'longitude') <- tmp$lons
-    }
-
-  }
+#------------NEW----------
+#  # Regridding
+#  #-------------------------------------------------------------------
+##  regrid.method <- recipe$Analysis$Regrid$method
+##  regrid.type <- recipe$Analysis$Regrid$type
+#  if (!is.null(regrid.method) & !is.null(regrid.type)) {
+#    if (regrid.type == 'to_reference') {
+#      gridtype <- reference_descrip$reference_grid
+#      #NOTE: Do we need force_remap?
+#      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
+#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+#      hcst <- tmp$data_array
+#      attr(hcst, 'latitude') <- tmp$lats
+#      attr(hcst, 'longitude') <- tmp$lons
+#
+#      if (!is.null(fcst)) {
+#        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
+#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+#        fcst <- tmp$data_array
+#        attr(fcst, 'latitude') <- tmp$lats
+#        attr(fcst, 'longitude') <- tmp$lons
+#      }
+#
+#    } else if (regrid.type == 'to_system') {
+##------------NEW----------
+#      gridtype <- exp_descrip$reference_grid
+##---------NEW_END------------
+#      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
+#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+#      obs <- tmp$data_array
+#      attr(obs, 'latitude') <- tmp$lats
+#      attr(obs, 'longitude') <- tmp$lons
+#
+#    } else if (regrid.type != 'none') {
+#      gridtype <- recipe$Analysis$Regrid$type
+#      # hcst
+#      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
+#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+#      hcst <- tmp$data_array
+#      attr(hcst, 'latitude') <- tmp$lats
+#      attr(hcst, 'longitude') <- tmp$lons
+#      # fcst
+#      if (!is.null(fcst)) {
+#        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
+#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+#        fcst <- tmp$data_array
+#        attr(fcst, 'latitude') <- tmp$lats
+#        attr(fcst, 'longitude') <- tmp$lons
+#      }
+#      # obs
+#      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
+#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
+#      obs <- tmp$data_array
+#      attr(obs, 'latitude') <- tmp$lats
+#      attr(obs, 'longitude') <- tmp$lons
+#    }
+#
+#  }
+#----------NEW_END---------
 
   info(recipe$Run$logger,
        "========== REGRID DONE. ==========")
diff --git a/modules/test_GRIB.R b/modules/test_GRIB.R
index b29e6e54..27cf3c9a 100644
--- a/modules/test_GRIB.R
+++ b/modules/test_GRIB.R
@@ -1,8 +1,6 @@
 source('modules/Loading/GRIB/GrbLoad.R')
 source('modules/Loading//Loading_GRIB.R')
 source("tools/libs.R") # for prepare_outputs.R
-#TODO: remove this line when new s2dv_cube() is in CSTools
-source('modules/Loading/GRIB/s2dv_cube.R')
 
 recipe <- "modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml"
 recipe <- prepare_outputs(recipe)
-- 
GitLab


From 6873ee977513bca07d851031fbb2722286cff598 Mon Sep 17 00:00:00 2001
From: aho <an.ho@bsc.es>
Date: Fri, 5 May 2023 15:14:26 +0200
Subject: [PATCH 24/84] Remove comments

---
 modules/Loading/GRIB/GrbLoad.R |  9 -----
 modules/Loading/Loading_GRIB.R | 68 ----------------------------------
 2 files changed, 77 deletions(-)

diff --git a/modules/Loading/GRIB/GrbLoad.R b/modules/Loading/GRIB/GrbLoad.R
index 1163a459..ef1df0cb 100644
--- a/modules/Loading/GRIB/GrbLoad.R
+++ b/modules/Loading/GRIB/GrbLoad.R
@@ -4,10 +4,8 @@
 # If exp, has.memb is a number; if obs, has.memb = NULL
 # syear_time_dim is the time attr dim of exp as the input for obs
 #----------------------------------------------------------------------------------
-#--------NEW--------
 GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL,
                      regrid = NULL) {
-#-------NEW_END-----------
   library(gribr)
 
   result <- vector('list', length = length(dat))
@@ -52,16 +50,9 @@ GrbLoad <- function (dat, time_step = 1, has.memb = NULL, syear_time_dim = NULL,
 
     # all members + ftimes: length should be memb*ftime (e.g., 51*7)
     ## Method 1: use grib_select and real values to filter
-#--------NEW-------------
     memb_ftime <- grib_select(file_to_load, list(validityDate = cdo_time))
     if (inherits(memb_ftime, 'gribMessage')) memb_ftime <- list(memb_ftime)
 
-#    needed_attrs <- c('Nx', 'Ny', 'Ni', 'Nj', 'pl', 'values', 'jPointsAreConsecutive')
-#    memb_ftime <- lapply(grib_select(file_to_load, list(validityDate = cdo_time)), 
-#                         '[', needed_attrs)
-#    if (inherits(memb_ftime, 'gribMessage')) memb_ftime <- list(memb_ftime)
-#-----------NEW_END------------
-
 #    ## Method 2: Calculate which messages are the desired ones
 #    gm <- grib_get_message(file_to_load, time_step)
 #    if (length(time_step) == 1) {
diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index 619baf19..d7ad36fc 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -26,10 +26,8 @@ load_datasets <- function(recipe) {
   variable <- recipe$Analysis$Variables$name  #'tas'
   store.freq <- recipe$Analysis$Variables$freq
 
-#-----------NEW---------
   regrid.method <- recipe$Analysis$Regrid$method
   regrid.type <- recipe$Analysis$Regrid$type
-#--------NEW_END--------
 
   # get MARS datasets dict:
   archive <- read_yaml("conf/archive.yml")[[recipe$Run$filesystem]]
@@ -61,7 +59,6 @@ load_datasets <- function(recipe) {
   hcst.year <- paste0(as.numeric(hcst.inityear):as.numeric(hcst.endyear))
   hcst.files <- paste0(hcst.path, variable, '_', hcst.year, hcst.sdate, '.grb')
 
-#---------NEW--------------
   if (!regrid.type %in% c('none', 'to_system')) {
     if (regrid.type == 'to_reference') {
       regrid_list <- c(method = regrid.method, type = reference_descrip$reference_grid)
@@ -74,7 +71,6 @@ load_datasets <- function(recipe) {
 
   hcst <- GrbLoad(dat = as.list(hcst.files), time_step = hcst.ftime, has.memb = hcst.nmember,
                     syear_time_dim = NULL, regrid = regrid_list)
-#-----------NEW_END-----------
   gc()
 
   info(recipe$Run$logger,
@@ -85,10 +81,8 @@ load_datasets <- function(recipe) {
   if (!is.null(fcst.year)) {
     fcst.path <- paste0(archive$src, hcst.dir)
     fcst.files <- paste0(fcst.path, variable, '_', fcst.year, hcst.sdate, '.grb')
-#----------NEW------------
     fcst <- GrbLoad(dat = as.list(fcst.files), time_step = hcst.ftime, has.memb = fcst.nmember,
                     syear_time_dim = NULL, regrid = regrid_list)
-#---------NEW_END----------
     gc()
   } else {
     fcst <- NULL
@@ -107,7 +101,6 @@ load_datasets <- function(recipe) {
 
   obs.files <- paste0(obs.path, variable, '_', hcst_times_strings, '.grb')
 
-#----------NEW-----------
   if (!regrid.type %in% c('none', 'to_reference')) {
     if (regrid.type == 'to_system') {
       regrid_list <- c(method = regrid.method, type = exp_descrip$reference_grid)
@@ -121,7 +114,6 @@ load_datasets <- function(recipe) {
   #NOTE: only 1 time step in each obs file
   obs <- GrbLoad(dat = as.list(obs.files), time_step = 1, has.memb = NULL, 
                  syear_time_dim = dim(hcst_times), regrid = regrid_list)
-#--------NEW_END--------
   gc()
 
   info(recipe$Run$logger,
@@ -158,66 +150,6 @@ load_datasets <- function(recipe) {
 
 #################################################################################
 
-#------------NEW----------
-#  # Regridding
-#  #-------------------------------------------------------------------
-##  regrid.method <- recipe$Analysis$Regrid$method
-##  regrid.type <- recipe$Analysis$Regrid$type
-#  if (!is.null(regrid.method) & !is.null(regrid.type)) {
-#    if (regrid.type == 'to_reference') {
-#      gridtype <- reference_descrip$reference_grid
-#      #NOTE: Do we need force_remap?
-#      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
-#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-#      hcst <- tmp$data_array
-#      attr(hcst, 'latitude') <- tmp$lats
-#      attr(hcst, 'longitude') <- tmp$lons
-#
-#      if (!is.null(fcst)) {
-#        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
-#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-#        fcst <- tmp$data_array
-#        attr(fcst, 'latitude') <- tmp$lats
-#        attr(fcst, 'longitude') <- tmp$lons
-#      }
-#
-#    } else if (regrid.type == 'to_system') {
-##------------NEW----------
-#      gridtype <- exp_descrip$reference_grid
-##---------NEW_END------------
-#      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
-#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-#      obs <- tmp$data_array
-#      attr(obs, 'latitude') <- tmp$lats
-#      attr(obs, 'longitude') <- tmp$lons
-#
-#    } else if (regrid.type != 'none') {
-#      gridtype <- recipe$Analysis$Regrid$type
-#      # hcst
-#      tmp <- s2dv::CDORemap(hcst, lons = attr(hcst, 'longitude'), lats = attr(hcst, 'latitude'),
-#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-#      hcst <- tmp$data_array
-#      attr(hcst, 'latitude') <- tmp$lats
-#      attr(hcst, 'longitude') <- tmp$lons
-#      # fcst
-#      if (!is.null(fcst)) {
-#        tmp <- s2dv::CDORemap(fcst, lons = attr(fcst, 'longitude'), lats = attr(fcst, 'latitude'),
-#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-#        fcst <- tmp$data_array
-#        attr(fcst, 'latitude') <- tmp$lats
-#        attr(fcst, 'longitude') <- tmp$lons
-#      }
-#      # obs
-#      tmp <- s2dv::CDORemap(obs, lons = attr(obs, 'longitude'), lats = attr(obs, 'latitude'),
-#                            grid = gridtype, method = regrid.method, force_remap = TRUE)
-#      obs <- tmp$data_array
-#      attr(obs, 'latitude') <- tmp$lats
-#      attr(obs, 'longitude') <- tmp$lons
-#    }
-#
-#  }
-#----------NEW_END---------
-
   info(recipe$Run$logger,
        "========== REGRID DONE. ==========")
 
-- 
GitLab


From 5c58c890a9e127db073dc2a07c2dde527662b3c7 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 16 May 2023 09:20:01 +0200
Subject: [PATCH 25/84] Create function to print memory usage details when
 loglevel is DEBUG

---
 modules/Loading/Loading_GRIB.R               |  3 +++
 recipes/tests/recipe_autosubmit_marstest.yml |  6 +++---
 tools/Utils.R                                | 13 +++++++++++++
 tools/libs.R                                 |  2 ++
 4 files changed, 21 insertions(+), 3 deletions(-)
 create mode 100644 tools/Utils.R

diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/Loading_GRIB.R
index d7ad36fc..3c82172a 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/Loading_GRIB.R
@@ -69,6 +69,7 @@ load_datasets <- function(recipe) {
     regrid_list <- NULL
   }
 
+  .log_memory_usage(recipe$Run$logger, when = "Before loading the data")
   hcst <- GrbLoad(dat = as.list(hcst.files), time_step = hcst.ftime, has.memb = hcst.nmember,
                     syear_time_dim = NULL, regrid = regrid_list)
   gc()
@@ -116,6 +117,7 @@ load_datasets <- function(recipe) {
                  syear_time_dim = dim(hcst_times), regrid = regrid_list)
   gc()
 
+  .log_memory_usage(recipe$Run$logger, when = "After loading the data")
   info(recipe$Run$logger,
        "========== OBS LOADED. ==========")
 
@@ -269,6 +271,7 @@ load_datasets <- function(recipe) {
 #  ..$ source_files: chr [1:2] "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas_CORRECTED/tas_20001101.grb" "/esarchive/scratch/aho/tmp/GRIB/GRIB_system5_tas_CORRECTED/tas_20011101.grb"
 #  ..$ gribEdition : num 1
 # - attr(*, "class")= chr "s2dv_cube"
+  .log_memory_usage(recipe$Run$logger, when = "After regridding")
   info(recipe$Run$logger,
        "##### GRIB DATA LOADED SUCCESSFULLY #####")
 
diff --git a/recipes/tests/recipe_autosubmit_marstest.yml b/recipes/tests/recipe_autosubmit_marstest.yml
index aaec7ed1..27131e3b 100644
--- a/recipes/tests/recipe_autosubmit_marstest.yml
+++ b/recipes/tests/recipe_autosubmit_marstest.yml
@@ -23,9 +23,9 @@ Analysis:
   Time:
     sdate: # list, split
       - '1101'
-    fcst_year: '2020' # list, don't split, handled internally
+    fcst_year: # list, don't split, handled internally
     hcst_start: '2000' # single option
-    hcst_end: '2003' # single option
+    hcst_end: '2020' # single option
     ftime_min: 1 # single option
     ftime_max: 3 # single option
   Region: # multiple lists, Add region name if there is more than 1 region
@@ -53,7 +53,7 @@ Analysis:
 ## Run CONFIGURATION
 ################################################################################
 Run:
-  Loglevel: INFO
+  Loglevel: DEBUG
   Terminal: yes
   filesystem: mars
   output_dir: /esarchive/scratch/vagudets/auto-s2s-outputs/
diff --git a/tools/Utils.R b/tools/Utils.R
new file mode 100644
index 00000000..c0acf374
--- /dev/null
+++ b/tools/Utils.R
@@ -0,0 +1,13 @@
+## TODO: Write header
+## TODO: Add if 'DEBUG'
+.log_memory_usage <- function(logger, when) {
+  debug(logger, paste0(when, ":"))
+  mem_info <- capture.output(memuse::Sys.meminfo())
+  for (i in mem_info) {
+    debug(recipe$Run$logger, i)
+  }
+  proc_mem <- capture.output(memuse::Sys.procmem())
+  for (i in proc_mem) {
+    debug(recipe$Run$logger, i)
+  }
+}
diff --git a/tools/libs.R b/tools/libs.R
index 67936799..d3933064 100644
--- a/tools/libs.R
+++ b/tools/libs.R
@@ -18,6 +18,7 @@ library(configr)
 #
 #  library(parallel)
 library(pryr) # To check mem usage.
+library(memuse)
 #setwd("/esarchive/scratch/nperez/git/S2S4E-backend-BSC/data-analysis/")
 #  source('export_2_nc.R')
 #  source('S2S/s2s.filefmt.R')
@@ -36,4 +37,5 @@ source("tools/data_summary.R")
 source("tools/read_atomic_recipe.R")
 source("tools/write_autosubmit_conf.R")
 source("tools/get_archive.R")
+source("tools/Utils.R")
 # source("tools/add_dims.R") # Not sure if necessary yet
-- 
GitLab


From 7446cb795e6defa05c1cd6add54bc9e6fab26774 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 17 May 2023 16:49:48 +0200
Subject: [PATCH 26/84] Add debug memory usage logs to the modules

---
 modules/Anomalies/Anomalies.R     | 1 +
 modules/Calibration/Calibration.R | 1 +
 modules/Loading/Loading.R         | 1 +
 modules/Loading/Loading_decadal.R | 2 +-
 modules/Skill/Skill.R             | 3 +++
 5 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/modules/Anomalies/Anomalies.R b/modules/Anomalies/Anomalies.R
index 06f955a8..59a825ce 100644
--- a/modules/Anomalies/Anomalies.R
+++ b/modules/Anomalies/Anomalies.R
@@ -95,6 +95,7 @@ compute_anomalies <- function(recipe, data) {
   }
 
   ## TODO: Return fcst full value?
+  .log_memory_usage(recipe$Run$logger, "After computing anomalies")
 
   return(list(hcst = data$hcst, obs = data$obs, fcst = data$fcst,
 	      hcst.full_val = hcst_fullvalue, obs.full_val = obs_fullvalue))
diff --git a/modules/Calibration/Calibration.R b/modules/Calibration/Calibration.R
index 899b1291..091f8a1d 100644
--- a/modules/Calibration/Calibration.R
+++ b/modules/Calibration/Calibration.R
@@ -163,6 +163,7 @@ calibrate_datasets <- function(recipe, data) {
     }
   }
   info(recipe$Run$logger, CALIB_MSG)
+  .log_memory_usage(recipe$Run$logger, "After calibration")
   ## TODO: Sort out returns
   return_list <- list(hcst = hcst_calibrated,
 		      obs = data$obs,
diff --git a/modules/Loading/Loading.R b/modules/Loading/Loading.R
index 46fa00fd..f2705fd0 100644
--- a/modules/Loading/Loading.R
+++ b/modules/Loading/Loading.R
@@ -418,6 +418,7 @@ load_datasets <- function(recipe) {
   
   ############################################################################
   ############################################################################
+  .log_memory_usage(recipe$Run$logger, when = "After loading")
  
   return(list(hcst = hcst, fcst = fcst, obs = obs))
 
diff --git a/modules/Loading/Loading_decadal.R b/modules/Loading/Loading_decadal.R
index b9a145e3..4f6b6b6e 100644
--- a/modules/Loading/Loading_decadal.R
+++ b/modules/Loading/Loading_decadal.R
@@ -517,7 +517,7 @@ load_datasets <- function(recipe) {
 
   info(recipe$Run$logger,
        "##### DATA LOADING COMPLETED SUCCESSFULLY #####")
-
+  .log_memory_usage(recipe$Run$logger, when = "After loading")
 
   return(list(hcst = hcst, fcst = fcst, obs = obs))
 }
diff --git a/modules/Skill/Skill.R b/modules/Skill/Skill.R
index d83d92c1..dcc6436f 100644
--- a/modules/Skill/Skill.R
+++ b/modules/Skill/Skill.R
@@ -277,6 +277,7 @@ compute_skill_metrics <- function(recipe, data) {
     }
   }
   info(recipe$Run$logger, "##### SKILL METRIC COMPUTATION COMPLETE #####")
+  .log_memory_usage(recipe$Run$logger, when = "After skill metric computation")
   return(skill_metrics)
 }
 
@@ -379,6 +380,8 @@ compute_probabilities <- function(recipe, data) {
     
     info(recipe$Run$logger,
 	 "##### PERCENTILES AND PROBABILITY CATEGORIES COMPUTED #####")
+    .log_memory_usage(recipe$Run$logger, when = "After anomaly computation")
+
     return(results)
   }
 }
-- 
GitLab


From 3b7b04754686de9fb1f49fc187ae2b2bf49bb330 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 17 May 2023 16:49:56 +0200
Subject: [PATCH 27/84] update recipe

---
 recipes/tests/recipe_autosubmit_marstest.yml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/recipes/tests/recipe_autosubmit_marstest.yml b/recipes/tests/recipe_autosubmit_marstest.yml
index 27131e3b..d9d6660f 100644
--- a/recipes/tests/recipe_autosubmit_marstest.yml
+++ b/recipes/tests/recipe_autosubmit_marstest.yml
@@ -25,9 +25,9 @@ Analysis:
       - '1101'
     fcst_year: # list, don't split, handled internally
     hcst_start: '2000' # single option
-    hcst_end: '2020' # single option
+    hcst_end: '2019' # single option
     ftime_min: 1 # single option
-    ftime_max: 3 # single option
+    ftime_max: 4 # single option
   Region: # multiple lists, Add region name if there is more than 1 region
     - {latmin: -90, latmax: 90, lonmin: 0, lonmax: 360}
   Regrid:
@@ -64,7 +64,7 @@ Run:
     script: /esarchive/scratch/vagudets/repos/auto-s2s/modules/test_parallel_GRIB.R # path to the script to run
     expid: a5ta ## if left empty, create new exp?
     hpc_user: bsc32762 # your hpc username
-    wallclock: 04:00 # hh:mm
+    wallclock: 02:30 # hh:mm
     processors_per_job: 14 # use ncores parameter?
     platform: nord3v2 # make this constant?
     email_notifications: yes # enable/disable email notifications
-- 
GitLab


From 6dded665cef35736dcd04d4dad1f3bb666985adc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Pierre-Antoine=20Bretonni=C3=A8re?=
 <pierre-antoine.bretonniere@bsc.es>
Date: Wed, 31 May 2023 17:10:59 +0200
Subject: [PATCH 28/84] Add formattable and kableextra + gribr

---
 conda_installation/environment-cerise.yml | 28 +++++++++++++++++++----
 1 file changed, 24 insertions(+), 4 deletions(-)

diff --git a/conda_installation/environment-cerise.yml b/conda_installation/environment-cerise.yml
index 44a0e719..ea1ffa3d 100644
--- a/conda_installation/environment-cerise.yml
+++ b/conda_installation/environment-cerise.yml
@@ -17,10 +17,10 @@ dependencies:
   - bwidget=1.9.14=ha770c72_1
   - bzip2=1.0.8=h7f98852_4
   - c-ares=1.18.1=h7f98852_0
-  - ca-certificates=2022.12.7=ha878542_0
+  - ca-certificates=2023.5.7=hbcca054_0
   - cairo=1.16.0=ha61ee94_1014
   - cdo=2.1.1=h4f55462_2
-  - certifi=2022.12.7=pyhd8ed1ab_0
+  - certifi=2023.5.7=pyhd8ed1ab_0
   - cffi=1.15.1=py37h43b0acd_1
   - colorama=0.4.6=pyhd8ed1ab_0
   - conda=4.14.0=py37h89c1867_0
@@ -153,9 +153,10 @@ dependencies:
   - nspr=4.35=h27087fc_0
   - nss=3.89=he45b914_0
   - numpy=1.21.6=py37h976b520_0
-  - openssl=3.1.0=hd590300_1
+  - openssl=3.1.1=hd590300_1
   - packaging=23.0=pyhd8ed1ab_0
   - pandas=1.3.5=py37he8f5f7f_0
+  - pandoc=2.19.2=h32600fe_2
   - pango=1.50.14=hd33c08f_0
   - paramiko=3.1.0=pyhd8ed1ab_0
   - pcre2=10.40=hc3806b6_0
@@ -181,6 +182,7 @@ dependencies:
   - pytz=2022.7.1=pyhd8ed1ab_0
   - qt-main=5.15.8=h5d23da1_6
   - r-abind=1.4_5=r42hc72bb7e_1004
+  - r-askpass=1.1=r42h06615bd_3
   - r-assertthat=0.2.1=r42hc72bb7e_3
   - r-base=4.2.3=ha7d60f8_0
   - r-base64enc=0.1_3=r42h06615bd_1005
@@ -200,6 +202,7 @@ dependencies:
   - r-configr=0.3.5=r42hc72bb7e_0
   - r-cpp11=0.4.3=r42hc72bb7e_0
   - r-crayon=1.5.2=r42hc72bb7e_1
+  - r-curl=4.3.3=r42h06615bd_1
   - r-desc=1.4.1=r42h6115d3f_0
   - r-diffobj=0.3.5=r42h76d94ec_0
   - r-digest=0.6.31=r42h38f115c_0
@@ -215,6 +218,7 @@ dependencies:
   - r-fields=14.1=r42hac0b197_1
   - r-fontawesome=0.5.1=r42hc72bb7e_0
   - r-foreach=1.5.2=r42hc72bb7e_1
+  - r-formattable=0.2.1=r42ha770c72_1
   - r-fs=1.6.1=r42h38f115c_0
   - r-future=1.32.0=r42hc72bb7e_0
   - r-generics=0.1.2=r42h142f84f_0
@@ -223,16 +227,21 @@ dependencies:
   - r-ggplot2=3.4.1=r42hc72bb7e_0
   - r-globals=0.16.2=r42hc72bb7e_0
   - r-glue=1.6.2=r42h06615bd_1
-  - r-gribr=1.2.4=r42h9ecb321_2
+  - r-gribr=1.2.5=r42hd590300_3
   - r-gridextra=2.3=r42hc72bb7e_1004
   - r-gtable=0.3.3=r42hc72bb7e_0
+  - r-highr=0.10=r42hc72bb7e_0
   - r-htmltools=0.5.5=r42h38f115c_0
+  - r-htmlwidgets=1.6.2=r42hc72bb7e_0
   - r-httpuv=1.6.9=r42h38f115c_0
+  - r-httr=1.4.6=r42hc72bb7e_0
   - r-ini=0.3.1=r42hc72bb7e_1004
   - r-isoband=0.2.7=r42h38f115c_1
   - r-iterators=1.0.14=r42hc72bb7e_1
   - r-jquerylib=0.1.4=r42hc72bb7e_1
   - r-jsonlite=1.8.0=r42h76d94ec_0
+  - r-kableextra=1.3.4=r42hc72bb7e_1
+  - r-knitr=1.43=r42hc72bb7e_0
   - r-labeling=0.4.2=r42hc72bb7e_2
   - r-later=1.3.0=r42h7525677_1
   - r-lattice=0.20_45=r42h06615bd_1
@@ -255,6 +264,7 @@ dependencies:
   - r-nbclust=3.0.1=r42hc72bb7e_1
   - r-ncdf4=1.21=r42h93dc0a4_1
   - r-nlme=3.1_162=r42hac0b197_0
+  - r-openssl=2.0.6=r42habfbb5e_0
   - r-parallelly=1.34.0=r42hc72bb7e_0
   - r-pbapply=1.7_0=r42hc72bb7e_0
   - r-pcict=0.5_4.4=r42h133d619_0
@@ -277,13 +287,16 @@ dependencies:
   - r-rcpptoml=0.1.7=r42h7525677_2
   - r-rematch2=2.1.2=r42h142f84f_0
   - r-rlang=1.1.0=r42h38f115c_0
+  - r-rmarkdown=2.21=r42hc72bb7e_0
   - r-rpmg=2.2_3=r42hc72bb7e_2
   - r-rprojroot=2.0.3=r42h6115d3f_0
   - r-rstudioapi=0.13=r42h6115d3f_0
+  - r-rvest=1.0.3=r42hc72bb7e_1
   - r-s2dv=1.4.0=r42hc72bb7e_0
   - r-s2dverification=2.10.3=r42hc72bb7e_1
   - r-sass=0.4.5=r42h38f115c_0
   - r-scales=1.2.1=r42hc72bb7e_1
+  - r-selectr=0.4_2=r42hc72bb7e_2
   - r-shiny=1.7.4=r42h785f33e_0
   - r-sourcetools=0.1.7_1=r42h38f115c_0
   - r-sp=1.6_0=r42h133d619_0
@@ -293,8 +306,12 @@ dependencies:
   - r-startr=2.2.1=r42hc72bb7e_0
   - r-stringi=1.7.12=r42h1ae9187_0
   - r-stringr=1.5.0=r42h785f33e_0
+  - r-svglite=2.1.1=r42he8f5e61_0
+  - r-sys=3.4.2=r42h57805ef_0
+  - r-systemfonts=1.0.4=r42h0ff29ef_1
   - r-testthat=3.1.4=r42h884c59f_0
   - r-tibble=3.2.1=r42h133d619_1
+  - r-tinytex=0.45=r42hc72bb7e_0
   - r-tzdb=0.3.0=r42h7525677_1
   - r-utf8=1.2.3=r42h133d619_0
   - r-uuid=1.1_0=r42h06615bd_1
@@ -302,7 +319,10 @@ dependencies:
   - r-viridis=0.6.2=r42hc72bb7e_1
   - r-viridislite=0.4.1=r42hc72bb7e_1
   - r-waldo=0.4.0=r42h6115d3f_0
+  - r-webshot=0.5.4=r42hc72bb7e_1
   - r-withr=2.5.0=r42hc72bb7e_1
+  - r-xfun=0.39=r42ha503ecb_0
+  - r-xml2=1.3.3=r42h884c59f_0
   - r-xtable=1.8_4=r42hc72bb7e_4
   - r-yaml=2.3.7=r42h133d619_0
   - readline=8.1.2=h0f457ee_0
-- 
GitLab


From 520cdafee3a639ca9d9cb55e87a1868483ceff57 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Pierre-Antoine=20Bretonni=C3=A8re?=
 <pierre-antoine.bretonniere@bsc.es>
Date: Thu, 1 Jun 2023 16:44:08 +0200
Subject: [PATCH 29/84] Add gribr (local and official)

---
 .../environment-cerise-localgribr.yml         | 398 ++++++++++++++++++
 conda_installation/environment-cerise.yml     | 192 +++++----
 conda_installation/gribr_1.2.5.tar.gz         | Bin 0 -> 3161637 bytes
 conda_installation/load_cerise.bash           |  12 +-
 4 files changed, 500 insertions(+), 102 deletions(-)
 create mode 100644 conda_installation/environment-cerise-localgribr.yml
 create mode 100644 conda_installation/gribr_1.2.5.tar.gz

diff --git a/conda_installation/environment-cerise-localgribr.yml b/conda_installation/environment-cerise-localgribr.yml
new file mode 100644
index 00000000..20808ef8
--- /dev/null
+++ b/conda_installation/environment-cerise-localgribr.yml
@@ -0,0 +1,398 @@
+name: condaCerise
+channels:
+  - r
+  - conda-forge
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_gnu
+  - _r-mutex=1.0.0=anacondar_1
+  - alsa-lib=1.2.8=h166bdaf_0
+  - atk-1.0=2.36.0=ha1a6a79_0
+  - attr=2.5.1=h166bdaf_1
+  - binutils_impl_linux-64=2.40=hf600244_0
+  - brotli=1.0.9=h5eee18b_7
+  - brotli-bin=1.0.9=h5eee18b_7
+  - brotlipy=0.7.0=py37h27cfd23_1003
+  - bwidget=1.9.11=1
+  - bzip2=1.0.8=h7b6447c_0
+  - c-ares=1.19.0=h5eee18b_0
+  - ca-certificates=2023.01.10=h06a4308_0
+  - cairo=1.16.0=ha61ee94_1014
+  - cdo=2.1.1=h4f55462_2
+  - certifi=2022.12.7=py37h06a4308_0
+  - cffi=1.15.1=py37h5eee18b_3
+  - conda=4.14.0=py37h89c1867_0
+  - conda-package-handling=2.0.2=py37h06a4308_0
+  - conda-package-streaming=0.7.0=py37h06a4308_0
+  - cov-core=1.15.0=py_1
+  - curl=7.88.1=hdc1c0ab_1
+  - cycler=0.11.0=pyhd3eb1b0_0
+  - dbus=1.13.18=hb2f20db_0
+  - eccodes=2.29.0=h7986f14_1
+  - expat=2.5.0=h27087fc_0
+  - fftw=3.3.10=nompi_hf0379b8_106
+  - findlibs=0.0.2=pyhd8ed1ab_0
+  - flit-core=3.6.0=pyhd3eb1b0_0
+  - font-ttf-dejavu-sans-mono=2.37=hd3eb1b0_0
+  - font-ttf-inconsolata=2.001=hcb22688_0
+  - font-ttf-source-code-pro=2.030=hd3eb1b0_0
+  - font-ttf-ubuntu=0.83=h8b1ccd4_0
+  - fontconfig=2.14.2=h14ed4e7_0
+  - fonts-anaconda=1=h8fa9717_0
+  - fonts-conda-ecosystem=1=hd3eb1b0_0
+  - fonttools=4.25.0=pyhd3eb1b0_0
+  - freeglut=3.2.2=h9c3ff4c_1
+  - freetype=2.12.1=h4a9f257_0
+  - fribidi=1.0.10=h7b6447c_0
+  - gcc_impl_linux-64=12.2.0=hcc96c02_19
+  - gdk-pixbuf=2.42.10=h5eee18b_0
+  - gettext=0.21.1=h27087fc_0
+  - gfortran_impl_linux-64=12.2.0=h55be85b_19
+  - giflib=5.2.1=h5eee18b_3
+  - glib=2.74.1=h6239696_1
+  - glib-tools=2.74.1=h6239696_1
+  - gobject-introspection=1.72.0=py37hbb6d50b_1
+  - graphite2=1.3.14=h295c915_1
+  - graphviz=7.1.0=h2e5815a_0
+  - gsl=2.7.1=h6e86dc7_1
+  - gst-plugins-base=1.22.0=h4243ec0_2
+  - gstreamer=1.22.0=h25f0c4b_2
+  - gstreamer-orc=0.4.33=h166bdaf_0
+  - gtk2=2.24.33=h73c1081_2
+  - gts=0.7.6=hb67d8dd_3
+  - gxx_impl_linux-64=12.2.0=hcc96c02_19
+  - harfbuzz=6.0.0=h8e241bc_0
+  - hdf4=4.2.15=h9772cbc_5
+  - hdf5=1.12.2=nompi_h4df4325_101
+  - icu=70.1=h27087fc_0
+  - idna=3.4=py37h06a4308_0
+  - jack=1.9.22=h11f4161_0
+  - jasper=4.0.0=h0ff4b12_0
+  - jpeg=9e=h5eee18b_1
+  - kernel-headers_linux-64=2.6.32=he073ed8_15
+  - keyutils=1.6.1=h166bdaf_0
+  - kiwisolver=1.4.4=py37h6a678d5_0
+  - krb5=1.20.1=h81ceb04_0
+  - lame=3.100=h7b6447c_0
+  - lcms2=2.12=h3be6417_0
+  - ld_impl_linux-64=2.40=h41732ed_0
+  - lerc=3.0=h295c915_0
+  - libaec=1.0.6=hcb278e6_1
+  - libblas=3.9.0=16_linux64_openblas
+  - libbrotlicommon=1.0.9=h5eee18b_7
+  - libbrotlidec=1.0.9=h5eee18b_7
+  - libbrotlienc=1.0.9=h5eee18b_7
+  - libcap=2.66=ha37c62d_0
+  - libcblas=3.9.0=16_linux64_openblas
+  - libclang=15.0.7=default_had23c3d_1
+  - libclang13=15.0.7=default_h3e3d535_1
+  - libcups=2.3.3=h36d4200_3
+  - libcurl=7.88.1=hdc1c0ab_1
+  - libdb=6.2.32=h6a678d5_1
+  - libdeflate=1.17=h5eee18b_0
+  - libedit=3.1.20221030=h5eee18b_0
+  - libev=4.33=h7f8727e_1
+  - libevent=2.1.10=h28343ad_4
+  - libffi=3.4.4=h6a678d5_0
+  - libflac=1.4.2=h27087fc_0
+  - libgcc-devel_linux-64=12.2.0=h3b97bd3_19
+  - libgcc-ng=12.2.0=h65d4601_19
+  - libgcrypt=1.10.1=h166bdaf_0
+  - libgd=2.3.3=h695aa2c_1
+  - libgfortran-ng=12.2.0=h69a702a_19
+  - libgfortran5=12.2.0=h337968e_19
+  - libglib=2.74.1=h606061b_1
+  - libglu=9.0.0=hf484d3e_1
+  - libgomp=12.2.0=h65d4601_19
+  - libgpg-error=1.46=h620e276_0
+  - libiconv=1.17=h166bdaf_0
+  - liblapack=3.9.0=16_linux64_openblas
+  - libllvm15=15.0.7=hadd5161_1
+  - libnetcdf=4.9.1=nompi_h34a3ff0_101
+  - libnghttp2=1.52.0=h61bc06f_0
+  - libnsl=2.0.0=h5eee18b_0
+  - libogg=1.3.5=h27cfd23_1
+  - libopenblas=0.3.21=h043d6bf_0
+  - libopus=1.3.1=h7b6447c_0
+  - libpng=1.6.39=h5eee18b_0
+  - libpq=15.2=hb675445_0
+  - librsvg=2.54.4=h7abd40a_0
+  - libsanitizer=12.2.0=h46fd767_19
+  - libsndfile=1.2.0=hb75c966_0
+  - libsodium=1.0.18=h7b6447c_0
+  - libsqlite=3.40.0=h753d276_0
+  - libssh2=1.10.0=hf14f497_3
+  - libstdcxx-devel_linux-64=12.2.0=h3b97bd3_19
+  - libstdcxx-ng=12.2.0=h46fd767_19
+  - libsystemd0=252=h2a991cd_0
+  - libtiff=4.5.0=h6a678d5_2
+  - libtool=2.4.7=h27087fc_0
+  - libudev1=253=h0b41bf4_0
+  - libuuid=2.32.1=h7f98852_1000
+  - libvorbis=1.3.7=h7b6447c_0
+  - libwebp=1.2.4=h11a3e52_1
+  - libwebp-base=1.2.4=h5eee18b_1
+  - libxcb=1.13=h1bed415_1
+  - libxkbcommon=1.5.0=h79f4944_1
+  - libxml2=2.10.3=hca2bb57_4
+  - libzip=1.9.2=hc929e4a_1
+  - libzlib=1.2.13=h166bdaf_4
+  - lz4-c=1.9.4=h6a678d5_0
+  - magics=4.13.0=h37abd2f_1
+  - magics-python=1.5.8=pyhd8ed1ab_1
+  - make=4.2.1=h1bed415_1
+  - matplotlib=3.5.3=py37h89c1867_2
+  - matplotlib-base=3.5.3=py37hf590b9c_0
+  - mock=5.0.1=pyhd8ed1ab_0
+  - mpg123=1.31.3=hcb278e6_0
+  - munkres=1.1.4=py_0
+  - mysql-common=8.0.32=ha901b37_0
+  - mysql-libs=8.0.32=hd7da12d_0
+  - ncurses=6.4=h6a678d5_0
+  - ninja=1.10.2=h06a4308_5
+  - ninja-base=1.10.2=hd09550d_5
+  - nose=1.3.7=py_1006
+  - nose-cov=1.6=py_1
+  - nspr=4.35=h6a678d5_0
+  - nss=3.89=he45b914_0
+  - numpy=1.21.6=py37h976b520_0
+  - openssl=3.1.1=hd590300_1
+  - packaging=22.0=py37h06a4308_0
+  - pandoc=2.12=h06a4308_3
+  - pango=1.50.14=hd33c08f_0
+  - paramiko=3.1.0=pyhd8ed1ab_0
+  - pcre2=10.40=hc3806b6_0
+  - phantomjs=2.1.1=1
+  - pillow=9.4.0=py37h6a678d5_0
+  - pip=23.0.1=pyhd8ed1ab_0
+  - pixman=0.40.0=h7f8727e_1
+  - ply=3.11=py37_0
+  - proj=9.1.1=h8ffa02c_2
+  - pulseaudio=16.1=ha8d29e2_1
+  - pycosat=0.6.4=py37h5eee18b_0
+  - pycparser=2.21=pyhd3eb1b0_0
+  - pynacl=1.5.0=py37h5eee18b_0
+  - pyopenssl=23.0.0=py37h06a4308_0
+  - pyparsing=3.0.9=pyhd8ed1ab_0
+  - pyqt=5.15.7=py37hf30b843_1
+  - pyqt5-sip=12.11.0=py37hd23a5d3_1
+  - pysocks=1.7.1=py37_1
+  - python=3.7.12=hf930737_100_cpython
+  - python-dateutil=2.8.2=pyhd8ed1ab_0
+  - python_abi=3.7=3_cp37m
+  - qt-main=5.15.8=h5d23da1_6
+  - r-abind=1.4_5=r42hc72bb7e_1004
+  - r-askpass=1.1=r42h06615bd_3
+  - r-assertthat=0.2.1=r42hc72bb7e_3
+  - r-base=4.2.3=ha7d60f8_0
+  - r-base64enc=0.1_3=r42h06615bd_1005
+  - r-bigmemory=4.6.1=r42h7525677_1
+  - r-bigmemory.sri=0.1.6=r42hc72bb7e_0
+  - r-brio=1.1.3=r42h76d94ec_0
+  - r-bslib=0.4.2=r42hc72bb7e_0
+  - r-cachem=1.0.7=r42h133d619_0
+  - r-callr=3.7.0=r42h6115d3f_0
+  - r-cli=3.6.0=r42h38f115c_0
+  - r-climdex.pcic=1.1_11=r42h7525677_1
+  - r-climprojdiags=0.3.0=r42hc72bb7e_0
+  - r-clock=0.6.1=r42h7525677_1
+  - r-codetools=0.2_19=r42hc72bb7e_0
+  - r-colorspace=2.1_0=r42h133d619_0
+  - r-commonmark=1.9.0=r42h133d619_0
+  - r-configr=0.3.5=r42hc72bb7e_0
+  - r-cpp11=0.4.3=r42hc72bb7e_0
+  - r-crayon=1.5.2=r42hc72bb7e_1
+  - r-curl=4.3.3=r42h06615bd_1
+  - r-desc=1.4.1=r42h6115d3f_0
+  - r-diffobj=0.3.5=r42h76d94ec_0
+  - r-digest=0.6.31=r42h38f115c_0
+  - r-doparallel=1.0.17=r42hc72bb7e_1
+  - r-dotcall64=1.0_2=r42hac0b197_1
+  - r-easyncdf=0.1.1=r42hc72bb7e_1
+  - r-easyverification=0.4.4=r42h7525677_2
+  - r-ellipsis=0.3.2=r42h06615bd_1
+  - r-evaluate=0.15=r42h6115d3f_0
+  - r-fansi=1.0.4=r42h133d619_0
+  - r-farver=2.1.1=r42h7525677_1
+  - r-fastmap=1.1.1=r42h38f115c_0
+  - r-fields=14.1=r42hac0b197_1
+  - r-fontawesome=0.5.1=r42hc72bb7e_0
+  - r-foreach=1.5.2=r42hc72bb7e_1
+  - r-formattable=0.2.1=r42ha770c72_1
+  - r-fs=1.6.1=r42h38f115c_0
+  - r-future=1.32.0=r42hc72bb7e_0
+  - r-generics=0.1.2=r42h142f84f_0
+  - r-geomap=2.5_0=r42h06615bd_1
+  - r-geomapdata=2.0_0=r42hc72bb7e_1
+  - r-ggplot2=3.4.1=r42hc72bb7e_0
+  - r-globals=0.16.2=r42hc72bb7e_0
+  - r-glue=1.6.2=r42h06615bd_1
+  - r-gridextra=2.3=r42hc72bb7e_1004
+  - r-gtable=0.3.3=r42hc72bb7e_0
+  - r-highr=0.10=r42hc72bb7e_0
+  - r-htmltools=0.5.5=r42h38f115c_0
+  - r-htmlwidgets=1.6.2=r42hc72bb7e_0
+  - r-httpuv=1.6.9=r42h38f115c_0
+  - r-httr=1.4.6=r42hc72bb7e_0
+  - r-ini=0.3.1=r42hc72bb7e_1004
+  - r-isoband=0.2.7=r42h38f115c_1
+  - r-iterators=1.0.14=r42hc72bb7e_1
+  - r-jquerylib=0.1.4=r42hc72bb7e_1
+  - r-jsonlite=1.8.0=r42h76d94ec_0
+  - r-kableextra=1.3.4=r42hc72bb7e_1
+  - r-knitr=1.43=r42hc72bb7e_0
+  - r-labeling=0.4.2=r42hc72bb7e_2
+  - r-later=1.3.0=r42h7525677_1
+  - r-lattice=0.20_45=r42h06615bd_1
+  - r-lifecycle=1.0.3=r42hc72bb7e_1
+  - r-listenv=0.9.0=r42hc72bb7e_0
+  - r-lobstr=1.1.2=r42h38f115c_2
+  - r-log4r=0.4.3=r42h06615bd_0
+  - r-lubridate=1.8.0=r42h884c59f_0
+  - r-magrittr=2.0.3=r42h06615bd_1
+  - r-mapproj=1.2.11=r42h133d619_0
+  - r-maps=3.4.1=r42h06615bd_1
+  - r-mass=7.3_58.3=r42h133d619_0
+  - r-matrix=1.5_3=r42h5f7b363_0
+  - r-mba=0.1_0=r42h7525677_0
+  - r-memoise=2.0.1=r42hc72bb7e_1
+  - r-mgcv=1.8_42=r42he1ae0d6_0
+  - r-mime=0.12=r42h06615bd_1
+  - r-multiapply=2.1.3=r42hc72bb7e_1
+  - r-munsell=0.5.0=r42hc72bb7e_1005
+  - r-nbclust=3.0.1=r42hc72bb7e_1
+  - r-ncdf4=1.21=r42h93dc0a4_1
+  - r-nlme=3.1_162=r42hac0b197_0
+  - r-openssl=2.0.6=r42habfbb5e_0
+  - r-parallelly=1.34.0=r42hc72bb7e_0
+  - r-pbapply=1.7_0=r42hc72bb7e_0
+  - r-pcict=0.5_4.4=r42h133d619_0
+  - r-pillar=1.8.1=r42hc72bb7e_1
+  - r-pkgconfig=2.0.3=r42hc72bb7e_2
+  - r-pkgload=1.2.4=r42h142f84f_0
+  - r-plyr=1.8.8=r42h7525677_0
+  - r-praise=1.0.0=r42h6115d3f_4
+  - r-prettyunits=1.1.1=r42hc72bb7e_2
+  - r-processx=3.5.3=r42h76d94ec_0
+  - r-proj4=1.0_12=r42h66e2efa_1
+  - r-promises=1.2.0.1=r42h7525677_1
+  - r-pryr=0.1.6=r42h38f115c_0
+  - r-ps=1.7.0=r42h76d94ec_0
+  - r-r6=2.5.1=r42hc72bb7e_1
+  - r-rappdirs=0.3.3=r42h06615bd_1
+  - r-rcolorbrewer=1.1_3=r42h785f33e_1
+  - r-rcpp=1.0.10=r42h38f115c_0
+  - r-rcpparmadillo=0.11.4.4.0=r42h358215d_0
+  - r-rcpptoml=0.1.7=r42h7525677_2
+  - r-rematch2=2.1.2=r42h142f84f_0
+  - r-rlang=1.1.0=r42h38f115c_0
+  - r-rmarkdown=2.21=r42hc72bb7e_0
+  - r-rpmg=2.2_3=r42hc72bb7e_2
+  - r-rprojroot=2.0.3=r42h6115d3f_0
+  - r-rstudioapi=0.13=r42h6115d3f_0
+  - r-rvest=1.0.3=r42hc72bb7e_1
+  - r-s2dv=1.4.0=r42hc72bb7e_0
+  - r-s2dverification=2.10.3=r42hc72bb7e_1
+  - r-sass=0.4.5=r42h38f115c_0
+  - r-scales=1.2.1=r42hc72bb7e_1
+  - r-selectr=0.4_2=r42hc72bb7e_2
+  - r-shiny=1.7.4=r42h785f33e_0
+  - r-sourcetools=0.1.7_1=r42h38f115c_0
+  - r-sp=1.6_0=r42h133d619_0
+  - r-spam=2.9_1=r42hb20cf53_1
+  - r-specsverification=0.5_3=r42h7525677_2
+  - r-splancs=2.01_43=r42h8da6f51_1
+  - r-startr=2.2.1=r42hc72bb7e_0
+  - r-stringi=1.7.12=r42h1ae9187_0
+  - r-stringr=1.5.0=r42h785f33e_0
+  - r-svglite=2.1.1=r42he8f5e61_0
+  - r-sys=3.4.2=r42h57805ef_0
+  - r-systemfonts=1.0.4=r42h0ff29ef_1
+  - r-testthat=3.1.4=r42h884c59f_0
+  - r-tibble=3.2.1=r42h133d619_1
+  - r-tinytex=0.45=r42hc72bb7e_0
+  - r-tzdb=0.3.0=r42h7525677_1
+  - r-utf8=1.2.3=r42h133d619_0
+  - r-uuid=1.1_0=r42h06615bd_1
+  - r-vctrs=0.6.0=r42h38f115c_0
+  - r-viridis=0.6.2=r42hc72bb7e_1
+  - r-viridislite=0.4.1=r42hc72bb7e_1
+  - r-waldo=0.4.0=r42h6115d3f_0
+  - r-webshot=0.5.4=r42hc72bb7e_1
+  - r-withr=2.5.0=r42hc72bb7e_1
+  - r-xfun=0.39=r42ha503ecb_0
+  - r-xml2=1.3.3=r42h884c59f_0
+  - r-xtable=1.8_4=r42hc72bb7e_4
+  - r-yaml=2.3.7=r42h133d619_0
+  - readline=8.2=h5eee18b_0
+  - requests=2.28.1=py37h06a4308_0
+  - ruamel_yaml=0.15.100=py37h27cfd23_0
+  - sed=4.8=h7b6447c_0
+  - simplejson=3.17.6=py37h7f8727e_0
+  - sip=6.7.2=py37hd23a5d3_0
+  - six=1.16.0=pyhd3eb1b0_1
+  - sqlite=3.40.0=h4ff8645_0
+  - sysroot_linux-64=2.12=he073ed8_15
+  - tk=8.6.12=h1ccaba5_0
+  - tktable=2.10=h14c3975_0
+  - toml=0.10.2=pyhd3eb1b0_0
+  - toolz=0.12.0=py37h06a4308_0
+  - tornado=6.2=py37h5eee18b_0
+  - typing_extensions=4.4.0=py37h06a4308_0
+  - udunits2=2.2.25=hd30922c_1
+  - urllib3=1.26.14=py37h06a4308_0
+  - wheel=0.38.4=py37h06a4308_0
+  - xcb-util=0.4.0=h166bdaf_0
+  - xcb-util-image=0.4.0=h166bdaf_0
+  - xcb-util-keysyms=0.4.0=h166bdaf_0
+  - xcb-util-renderutil=0.3.9=h166bdaf_0
+  - xcb-util-wm=0.4.1=h166bdaf_0
+  - xkeyboard-config=2.38=h0b41bf4_0
+  - xorg-fixesproto=5.0=h7f98852_1002
+  - xorg-inputproto=2.3.2=h7f98852_1002
+  - xorg-kbproto=1.0.7=h7f98852_1002
+  - xorg-libice=1.0.10=h7f98852_0
+  - xorg-libsm=1.2.3=hd9c2040_1000
+  - xorg-libx11=1.8.4=h0b41bf4_0
+  - xorg-libxau=1.0.9=h7f98852_0
+  - xorg-libxext=1.3.4=h0b41bf4_2
+  - xorg-libxfixes=5.0.3=h7f98852_1004
+  - xorg-libxi=1.7.10=h7f98852_0
+  - xorg-libxrender=0.9.10=h7f98852_1003
+  - xorg-libxt=1.2.1=h7f98852_2
+  - xorg-renderproto=0.11.1=h7f98852_1002
+  - xorg-xextproto=7.3.0=h0b41bf4_1003
+  - xorg-xproto=7.0.31=h27cfd23_1007
+  - xz=5.2.10=h5eee18b_1
+  - yaml=0.2.5=h7b6447c_0
+  - zlib=1.2.13=h166bdaf_4
+  - zstandard=0.19.0=py37h5eee18b_0
+  - zstd=1.5.5=hc292b87_0
+  - pip:
+      - argparse==1.4.0
+      - attrs==22.2.0
+      - autosubmit==4.0.73
+      - autosubmitconfigparser==1.0.21
+      - bcrypt==4.0.1
+      - bscearth-utils==0.5.2
+      - charset-normalizer==3.1.0
+      - configobj==5.0.8
+      - coverage==7.2.2
+      - cryptography==39.0.2
+      - exceptiongroup==1.1.1
+      - importlib-metadata==6.1.0
+      - iniconfig==2.0.0
+      - networkx==2.6.3
+      - pluggy==1.0.0
+      - portalocker==2.7.0
+      - py3dotplus==1.1.0
+      - pygments==2.14.0
+      - pytest==7.2.2
+      - pythondialog==3.5.3
+      - ruamel-yaml==0.17.21
+      - ruamel-yaml-clib==0.2.7
+      - setuptools==67.6.0
+      - xlib==0.21
+      - zipp==3.15.0
+prefix: /esarchive/scratch/pbretonn/conda-cerise/conda/envs/condaCerise
diff --git a/conda_installation/environment-cerise.yml b/conda_installation/environment-cerise.yml
index ea1ffa3d..9be18a85 100644
--- a/conda_installation/environment-cerise.yml
+++ b/conda_installation/environment-cerise.yml
@@ -6,102 +6,104 @@ channels:
 dependencies:
   - _libgcc_mutex=0.1=conda_forge
   - _openmp_mutex=4.5=2_gnu
-  - _r-mutex=1.0.1=anacondar_1
+  - _r-mutex=1.0.0=anacondar_1
   - alsa-lib=1.2.8=h166bdaf_0
-  - atk-1.0=2.38.0=hd4edc92_1
+  - atk-1.0=2.36.0=ha1a6a79_0
   - attr=2.5.1=h166bdaf_1
   - binutils_impl_linux-64=2.40=hf600244_0
-  - brotli=1.0.9=h166bdaf_8
-  - brotli-bin=1.0.9=h166bdaf_8
-  - brotlipy=0.7.0=py37h540881e_1004
-  - bwidget=1.9.14=ha770c72_1
-  - bzip2=1.0.8=h7f98852_4
-  - c-ares=1.18.1=h7f98852_0
+  - brotli=1.0.9=h5eee18b_7
+  - brotli-bin=1.0.9=h5eee18b_7
+  - brotlipy=0.7.0=py37h27cfd23_1003
+  - bwidget=1.9.11=1
+  - bzip2=1.0.8=h7b6447c_0
+  - c-ares=1.19.0=h5eee18b_0
   - ca-certificates=2023.5.7=hbcca054_0
   - cairo=1.16.0=ha61ee94_1014
   - cdo=2.1.1=h4f55462_2
   - certifi=2023.5.7=pyhd8ed1ab_0
-  - cffi=1.15.1=py37h43b0acd_1
-  - colorama=0.4.6=pyhd8ed1ab_0
+  - cffi=1.15.1=py37h5eee18b_3
   - conda=4.14.0=py37h89c1867_0
-  - conda-package-handling=1.9.0=py37h540881e_0
+  - conda-package-handling=2.0.2=py37h06a4308_0
+  - conda-package-streaming=0.7.0=py37h06a4308_0
   - cov-core=1.15.0=py_1
   - curl=7.88.1=hdc1c0ab_1
-  - cycler=0.11.0=pyhd8ed1ab_0
-  - dbus=1.13.6=h5008d03_3
+  - cycler=0.11.0=pyhd3eb1b0_0
+  - dbus=1.13.18=hb2f20db_0
   - eccodes=2.29.0=h7986f14_1
   - expat=2.5.0=h27087fc_0
   - fftw=3.3.10=nompi_hf0379b8_106
   - findlibs=0.0.2=pyhd8ed1ab_0
-  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
-  - font-ttf-inconsolata=3.000=h77eed37_0
-  - font-ttf-source-code-pro=2.038=h77eed37_0
-  - font-ttf-ubuntu=0.83=hab24e00_0
+  - flit-core=3.6.0=pyhd3eb1b0_0
+  - font-ttf-dejavu-sans-mono=2.37=hd3eb1b0_0
+  - font-ttf-inconsolata=2.001=hcb22688_0
+  - font-ttf-source-code-pro=2.030=hd3eb1b0_0
+  - font-ttf-ubuntu=0.83=h8b1ccd4_0
   - fontconfig=2.14.2=h14ed4e7_0
-  - fonts-conda-ecosystem=1=0
-  - fonts-conda-forge=1=0
-  - fonttools=4.38.0=py37h540881e_0
+  - fonts-anaconda=1=h8fa9717_0
+  - fonts-conda-ecosystem=1=hd3eb1b0_0
+  - fonttools=4.25.0=pyhd3eb1b0_0
   - freeglut=3.2.2=h9c3ff4c_1
-  - freetype=2.12.1=hca18f0e_1
-  - fribidi=1.0.10=h36c2ea0_0
+  - freetype=2.12.1=h4a9f257_0
+  - fribidi=1.0.10=h7b6447c_0
   - gcc_impl_linux-64=12.2.0=hcc96c02_19
-  - gdk-pixbuf=2.42.10=h05c8ddd_0
+  - gdk-pixbuf=2.42.10=h5eee18b_0
   - gettext=0.21.1=h27087fc_0
   - gfortran_impl_linux-64=12.2.0=h55be85b_19
-  - giflib=5.2.1=h0b41bf4_3
+  - giflib=5.2.1=h5eee18b_3
   - glib=2.74.1=h6239696_1
   - glib-tools=2.74.1=h6239696_1
-  - graphite2=1.3.13=h58526e2_1001
+  - gobject-introspection=1.72.0=py37hbb6d50b_1
+  - graphite2=1.3.14=h295c915_1
   - graphviz=7.1.0=h2e5815a_0
-  - gsl=2.7=he838d99_0
+  - gsl=2.7.1=h6e86dc7_1
   - gst-plugins-base=1.22.0=h4243ec0_2
   - gstreamer=1.22.0=h25f0c4b_2
   - gstreamer-orc=0.4.33=h166bdaf_0
-  - gtk2=2.24.33=h90689f9_2
-  - gts=0.7.6=h64030ff_2
+  - gtk2=2.24.33=h73c1081_2
+  - gts=0.7.6=hb67d8dd_3
   - gxx_impl_linux-64=12.2.0=hcc96c02_19
   - harfbuzz=6.0.0=h8e241bc_0
   - hdf4=4.2.15=h9772cbc_5
   - hdf5=1.12.2=nompi_h4df4325_101
   - icu=70.1=h27087fc_0
-  - idna=3.4=pyhd8ed1ab_0
+  - idna=3.4=py37h06a4308_0
   - jack=1.9.22=h11f4161_0
   - jasper=4.0.0=h0ff4b12_0
-  - jpeg=9e=h0b41bf4_3
+  - jpeg=9e=h5eee18b_1
   - kernel-headers_linux-64=2.6.32=he073ed8_15
   - keyutils=1.6.1=h166bdaf_0
-  - kiwisolver=1.4.4=py37h7cecad7_0
+  - kiwisolver=1.4.4=py37h6a678d5_0
   - krb5=1.20.1=h81ceb04_0
-  - lame=3.100=h166bdaf_1003
-  - lcms2=2.15=hfd0df8a_0
+  - lame=3.100=h7b6447c_0
+  - lcms2=2.12=h3be6417_0
   - ld_impl_linux-64=2.40=h41732ed_0
-  - lerc=4.0.0=h27087fc_0
+  - lerc=3.0=h295c915_0
   - libaec=1.0.6=hcb278e6_1
   - libblas=3.9.0=16_linux64_openblas
-  - libbrotlicommon=1.0.9=h166bdaf_8
-  - libbrotlidec=1.0.9=h166bdaf_8
-  - libbrotlienc=1.0.9=h166bdaf_8
+  - libbrotlicommon=1.0.9=h5eee18b_7
+  - libbrotlidec=1.0.9=h5eee18b_7
+  - libbrotlienc=1.0.9=h5eee18b_7
   - libcap=2.66=ha37c62d_0
   - libcblas=3.9.0=16_linux64_openblas
   - libclang=15.0.7=default_had23c3d_1
   - libclang13=15.0.7=default_h3e3d535_1
   - libcups=2.3.3=h36d4200_3
   - libcurl=7.88.1=hdc1c0ab_1
-  - libdb=6.2.32=h9c3ff4c_0
-  - libdeflate=1.17=h0b41bf4_0
-  - libedit=3.1.20191231=he28a2e2_2
-  - libev=4.33=h516909a_1
+  - libdb=6.2.32=h6a678d5_1
+  - libdeflate=1.17=h5eee18b_0
+  - libedit=3.1.20221030=h5eee18b_0
+  - libev=4.33=h7f8727e_1
   - libevent=2.1.10=h28343ad_4
-  - libffi=3.4.2=h7f98852_5
+  - libffi=3.4.4=h6a678d5_0
   - libflac=1.4.2=h27087fc_0
   - libgcc-devel_linux-64=12.2.0=h3b97bd3_19
   - libgcc-ng=12.2.0=h65d4601_19
   - libgcrypt=1.10.1=h166bdaf_0
-  - libgd=2.3.3=h5aea950_4
+  - libgd=2.3.3=h695aa2c_1
   - libgfortran-ng=12.2.0=h69a702a_19
   - libgfortran5=12.2.0=h337968e_19
   - libglib=2.74.1=h606061b_1
-  - libglu=9.0.0=he1b5a44_1001
+  - libglu=9.0.0=hf484d3e_1
   - libgomp=12.2.0=h65d4601_19
   - libgpg-error=1.46=h620e276_0
   - libiconv=1.17=h166bdaf_0
@@ -109,77 +111,76 @@ dependencies:
   - libllvm15=15.0.7=hadd5161_1
   - libnetcdf=4.9.1=nompi_h34a3ff0_101
   - libnghttp2=1.52.0=h61bc06f_0
-  - libnsl=2.0.0=h7f98852_0
-  - libogg=1.3.4=h7f98852_1
-  - libopenblas=0.3.21=pthreads_h78a6416_3
-  - libopus=1.3.1=h7f98852_1
-  - libpng=1.6.39=h753d276_0
+  - libnsl=2.0.0=h5eee18b_0
+  - libogg=1.3.5=h27cfd23_1
+  - libopenblas=0.3.21=h043d6bf_0
+  - libopus=1.3.1=h7b6447c_0
+  - libpng=1.6.39=h5eee18b_0
   - libpq=15.2=hb675445_0
   - librsvg=2.54.4=h7abd40a_0
   - libsanitizer=12.2.0=h46fd767_19
   - libsndfile=1.2.0=hb75c966_0
-  - libsodium=1.0.18=h36c2ea0_1
+  - libsodium=1.0.18=h7b6447c_0
   - libsqlite=3.40.0=h753d276_0
   - libssh2=1.10.0=hf14f497_3
   - libstdcxx-devel_linux-64=12.2.0=h3b97bd3_19
   - libstdcxx-ng=12.2.0=h46fd767_19
   - libsystemd0=252=h2a991cd_0
-  - libtiff=4.5.0=h6adf6a1_2
+  - libtiff=4.5.0=h6a678d5_2
   - libtool=2.4.7=h27087fc_0
   - libudev1=253=h0b41bf4_0
   - libuuid=2.32.1=h7f98852_1000
-  - libvorbis=1.3.7=h9c3ff4c_0
-  - libwebp=1.2.4=h1daa5a0_1
-  - libwebp-base=1.2.4=h166bdaf_0
-  - libxcb=1.13=h7f98852_1004
+  - libvorbis=1.3.7=h7b6447c_0
+  - libwebp=1.2.4=h11a3e52_1
+  - libwebp-base=1.2.4=h5eee18b_1
+  - libxcb=1.13=h1bed415_1
   - libxkbcommon=1.5.0=h79f4944_1
   - libxml2=2.10.3=hca2bb57_4
   - libzip=1.9.2=hc929e4a_1
   - libzlib=1.2.13=h166bdaf_4
-  - lz4-c=1.9.4=hcb278e6_0
+  - lz4-c=1.9.4=h6a678d5_0
   - magics=4.13.0=h37abd2f_1
   - magics-python=1.5.8=pyhd8ed1ab_1
-  - make=4.3=hd18ef5c_1
+  - make=4.2.1=h1bed415_1
   - matplotlib=3.5.3=py37h89c1867_2
-  - matplotlib-base=3.5.3=py37hf395dca_2
+  - matplotlib-base=3.5.3=py37hf590b9c_0
   - mock=5.0.1=pyhd8ed1ab_0
   - mpg123=1.31.3=hcb278e6_0
-  - munkres=1.1.4=pyh9f0ad1d_0
+  - munkres=1.1.4=py_0
   - mysql-common=8.0.32=ha901b37_0
   - mysql-libs=8.0.32=hd7da12d_0
-  - ncurses=6.3=h27087fc_1
+  - ncurses=6.4=h6a678d5_0
+  - ninja=1.10.2=h06a4308_5
+  - ninja-base=1.10.2=hd09550d_5
   - nose=1.3.7=py_1006
   - nose-cov=1.6=py_1
-  - nspr=4.35=h27087fc_0
+  - nspr=4.35=h6a678d5_0
   - nss=3.89=he45b914_0
   - numpy=1.21.6=py37h976b520_0
   - openssl=3.1.1=hd590300_1
-  - packaging=23.0=pyhd8ed1ab_0
-  - pandas=1.3.5=py37he8f5f7f_0
-  - pandoc=2.19.2=h32600fe_2
+  - packaging=22.0=py37h06a4308_0
+  - pandoc=2.12=h06a4308_3
   - pango=1.50.14=hd33c08f_0
   - paramiko=3.1.0=pyhd8ed1ab_0
   - pcre2=10.40=hc3806b6_0
   - phantomjs=2.1.1=1
   - pillow=9.4.0=py37h6a678d5_0
   - pip=23.0.1=pyhd8ed1ab_0
-  - pixman=0.40.0=h36c2ea0_0
-  - ply=3.11=py_1
+  - pixman=0.40.0=h7f8727e_1
+  - ply=3.11=py37_0
   - proj=9.1.1=h8ffa02c_2
-  - pthread-stubs=0.4=h36c2ea0_1001
   - pulseaudio=16.1=ha8d29e2_1
-  - pycosat=0.6.4=py37h540881e_0
-  - pycparser=2.21=pyhd8ed1ab_0
-  - pynacl=1.5.0=py37h540881e_1
-  - pyopenssl=23.0.0=pyhd8ed1ab_0
+  - pycosat=0.6.4=py37h5eee18b_0
+  - pycparser=2.21=pyhd3eb1b0_0
+  - pynacl=1.5.0=py37h5eee18b_0
+  - pyopenssl=23.0.0=py37h06a4308_0
   - pyparsing=3.0.9=pyhd8ed1ab_0
   - pyqt=5.15.7=py37hf30b843_1
   - pyqt5-sip=12.11.0=py37hd23a5d3_1
-  - pysocks=1.7.1=py37h89c1867_5
+  - pysocks=1.7.1=py37_1
   - python=3.7.12=hf930737_100_cpython
   - python-dateutil=2.8.2=pyhd8ed1ab_0
   - python_abi=3.7=3_cp37m
-  - pytz=2022.7.1=pyhd8ed1ab_0
   - qt-main=5.15.8=h5d23da1_6
   - r-abind=1.4_5=r42hc72bb7e_1004
   - r-askpass=1.1=r42h06615bd_3
@@ -325,29 +326,24 @@ dependencies:
   - r-xml2=1.3.3=r42h884c59f_0
   - r-xtable=1.8_4=r42hc72bb7e_4
   - r-yaml=2.3.7=r42h133d619_0
-  - readline=8.1.2=h0f457ee_0
-  - requests=2.28.2=pyhd8ed1ab_0
-  - ruamel_yaml=0.15.80=py37h540881e_1007
-  - scipy=1.7.3=py37hf2a6cf1_0
-  - sed=4.8=he412f7d_0
-  - simplejson=3.17.6=py37h540881e_1
+  - readline=8.2=h5eee18b_0
+  - requests=2.28.1=py37h06a4308_0
+  - ruamel_yaml=0.15.100=py37h27cfd23_0
+  - sed=4.8=h7b6447c_0
+  - simplejson=3.17.6=py37h7f8727e_0
   - sip=6.7.2=py37hd23a5d3_0
-  - six=1.16.0=pyh6c4a22f_0
+  - six=1.16.0=pyhd3eb1b0_1
   - sqlite=3.40.0=h4ff8645_0
   - sysroot_linux-64=2.12=he073ed8_15
-  - tk=8.6.12=h27826a3_0
-  - tktable=2.10=hb7b940f_3
-  - toml=0.10.2=pyhd8ed1ab_0
-  - tomli=2.0.1=pyhd8ed1ab_0
-  - toolz=0.12.0=pyhd8ed1ab_0
-  - tornado=6.2=py37h540881e_0
-  - tqdm=4.65.0=pyhd8ed1ab_1
-  - typing-extensions=4.5.0=hd8ed1ab_0
-  - typing_extensions=4.5.0=pyha770c72_0
-  - udunits2=2.2.28=hc3e0081_0
-  - unicodedata2=14.0.0=py37h540881e_1
-  - urllib3=1.26.15=pyhd8ed1ab_0
-  - wheel=0.40.0=pyhd8ed1ab_0
+  - tk=8.6.12=h1ccaba5_0
+  - tktable=2.10=h14c3975_0
+  - toml=0.10.2=pyhd3eb1b0_0
+  - toolz=0.12.0=py37h06a4308_0
+  - tornado=6.2=py37h5eee18b_0
+  - typing_extensions=4.4.0=py37h06a4308_0
+  - udunits2=2.2.25=hd30922c_1
+  - urllib3=1.26.14=py37h06a4308_0
+  - wheel=0.38.4=py37h06a4308_0
   - xcb-util=0.4.0=h166bdaf_0
   - xcb-util-image=0.4.0=h166bdaf_0
   - xcb-util-keysyms=0.4.0=h166bdaf_0
@@ -361,7 +357,6 @@ dependencies:
   - xorg-libsm=1.2.3=hd9c2040_1000
   - xorg-libx11=1.8.4=h0b41bf4_0
   - xorg-libxau=1.0.9=h7f98852_0
-  - xorg-libxdmcp=1.1.3=h7f98852_0
   - xorg-libxext=1.3.4=h0b41bf4_2
   - xorg-libxfixes=5.0.3=h7f98852_1004
   - xorg-libxi=1.7.10=h7f98852_0
@@ -369,11 +364,12 @@ dependencies:
   - xorg-libxt=1.2.1=h7f98852_2
   - xorg-renderproto=0.11.1=h7f98852_1002
   - xorg-xextproto=7.3.0=h0b41bf4_1003
-  - xorg-xproto=7.0.31=h7f98852_1007
-  - xz=5.2.6=h166bdaf_0
-  - yaml=0.2.5=h7f98852_2
+  - xorg-xproto=7.0.31=h27cfd23_1007
+  - xz=5.2.10=h5eee18b_1
+  - yaml=0.2.5=h7b6447c_0
   - zlib=1.2.13=h166bdaf_4
-  - zstd=1.5.2=h3eb15da_6
+  - zstandard=0.19.0=py37h5eee18b_0
+  - zstd=1.5.5=hc292b87_0
   - pip:
       - argparse==1.4.0
       - attrs==22.2.0
diff --git a/conda_installation/gribr_1.2.5.tar.gz b/conda_installation/gribr_1.2.5.tar.gz
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zvYBTA9}Mu_gWh}3eKD3J@p0)6#bXwpW&y(k1^>IV{e9OSCVIgjS>@@S8yO9?ksC1{
zn27gcm;y70VNsj_s(h1>QzY-r#c<Xt-eI%iAXu{$ao5QxY3tG1`MJ7;_(GwWir&%z
zjAzS1>i4@<ICHxUC$bA1$A_DE?U8vT%vR?EqxYP=SWG*Zsq}$E&3J&WQrtVv-Uog2
zOWPPPJodnwhmE&nJ%#=}`_kb71L5Pi9`0#IVmX${#R%BWN{6%n@f9SXS{X-?Ss@Xv
zY@Ie!=Y~DL!kZ`wCHzw?=_RFH@D>`TH?`oUkS_wD>Q;8TKi!}1&-e55{{u2n2K@j!
FH~>u_0MY;e

literal 0
HcmV?d00001

diff --git a/conda_installation/load_cerise.bash b/conda_installation/load_cerise.bash
index 5d5bb83c..3a10f3f6 100755
--- a/conda_installation/load_cerise.bash
+++ b/conda_installation/load_cerise.bash
@@ -1,13 +1,17 @@
 #!/bin/bash
 
 prefix=$1
+local_gribr=$2
+
 
 if [[ -z $prefix ]]; then
-  conda env create --file environment-cerise.yml
+  conda env create --file environment-cerise${local_gribr}.yml
 else
-  conda env create --file environment-cerise.yml --prefix $prefix
+  conda env create --file environment-cerise${local_gribr}.yml --prefix $prefix
 fi
 conda activate condaCerise
-R -e "options(timeout = 600) ; install.packages('CSTools', repos='https://ftp.cixug.es/CRAN/')"
+[[ -n ${local_gribr} ]] && module load ecCodes 
 
-#conda env export > environment-cerise.yml                                  
+R -e "options(timeout = 600) ; install.packages('CSTools', repos='https://ftp.cixug.es/CRAN/')"
+[[ -n ${local_gribr} ]] && R -e "options(timeout = 600) ; install.packages('conda_installation/gribr_1.2.5.tar.gz', repos = NULL)"
+#conda env export > environment-cerise${local_gribr}.yml                                  
-- 
GitLab


From 7e644d55abd101abfcda6a4c83bb173a1f9149af Mon Sep 17 00:00:00 2001
From: Nadia Milders <nadia.milders@bsc.es>
Date: Thu, 20 Jul 2023 15:33:44 +0200
Subject: [PATCH 30/84] scorecards module code

---
 MODULES                                       |   1 +
 autosubmit/auto-scorecards.sh                 |  15 +
 autosubmit/conf_esarchive/jobs.conf           |   8 +
 modules/Scorecards/Scorecards.R               | 179 +++++++
 modules/Scorecards/tmp/LoadMetrics.R          | 207 ++++++++
 modules/Scorecards/tmp/SCPlotScorecard.R      | 444 ++++++++++++++++++
 modules/Scorecards/tmp/SCTransform.R          |  42 ++
 modules/Scorecards/tmp/ScorecardsMulti.R      | 360 ++++++++++++++
 modules/Scorecards/tmp/ScorecardsSingle.R     | 343 ++++++++++++++
 modules/Scorecards/tmp/ScorecardsSystemDiff.R | 350 ++++++++++++++
 modules/Scorecards/tmp/Utils.R                | 361 ++++++++++++++
 modules/Scorecards/tmp/WeightedMetrics.R      | 134 ++++++
 .../recipe_scorecards_atomic.yml              |  69 +++
 recipes/recipe_scoreacards.yml                | 105 +++++
 14 files changed, 2618 insertions(+)
 create mode 100644 autosubmit/auto-scorecards.sh
 create mode 100644 modules/Scorecards/Scorecards.R
 create mode 100644 modules/Scorecards/tmp/LoadMetrics.R
 create mode 100644 modules/Scorecards/tmp/SCPlotScorecard.R
 create mode 100644 modules/Scorecards/tmp/SCTransform.R
 create mode 100644 modules/Scorecards/tmp/ScorecardsMulti.R
 create mode 100644 modules/Scorecards/tmp/ScorecardsSingle.R
 create mode 100644 modules/Scorecards/tmp/ScorecardsSystemDiff.R
 create mode 100644 modules/Scorecards/tmp/Utils.R
 create mode 100644 modules/Scorecards/tmp/WeightedMetrics.R
 create mode 100644 recipes/atomic_recipes/recipe_scorecards_atomic.yml
 create mode 100644 recipes/recipe_scoreacards.yml

diff --git a/MODULES b/MODULES
index ff2a2a34..48f0a52a 100644
--- a/MODULES
+++ b/MODULES
@@ -19,6 +19,7 @@ elif [[ $BSC_MACHINE == "nord3v2" ]]; then
   module load CDO/1.9.8-foss-2019b
   module load R/4.1.2-foss-2019b
   module load OpenMPI/4.0.5-GCC-8.3.0-nord3-v2
+  module load Phantomjs
 
 else
 
diff --git a/autosubmit/auto-scorecards.sh b/autosubmit/auto-scorecards.sh
new file mode 100644
index 00000000..ac26e9c1
--- /dev/null
+++ b/autosubmit/auto-scorecards.sh
@@ -0,0 +1,15 @@
+#!/bin/bash
+
+############ AUTOSUBMIT INPUTS ############
+proj_dir=%PROJDIR%
+outdir=%OUTDIR%
+recipe=%RECIPE%
+###############################
+
+cd $proj_dir
+
+recipe=${outdir}/logs/recipes/${recipe}
+
+source MODULES
+
+Rscript /modules/Scorecards/Scorecards.R ${recipe}
diff --git a/autosubmit/conf_esarchive/jobs.conf b/autosubmit/conf_esarchive/jobs.conf
index 88f3565c..4767dcc1 100644
--- a/autosubmit/conf_esarchive/jobs.conf
+++ b/autosubmit/conf_esarchive/jobs.conf
@@ -6,3 +6,11 @@ NOTIFY_ON =
 PLATFORM = nord3v2
 PROCESSORS = 
 
+[scorecards]
+FILE = autosubmit/auto-scorecards.sh
+RUNNING = ONCE
+WALLCLOCK = 00:10
+PLATFORM = nord3v2
+PROCESSORS = 1
+DEPENDENCIES = verification
+RECIPE = recipes/recipe_scorecards.yml
diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
new file mode 100644
index 00000000..9d4eb946
--- /dev/null
+++ b/modules/Scorecards/Scorecards.R
@@ -0,0 +1,179 @@
+###############################################################################
+##################### SCORECARDS MODULE FOR SUNSET SUITE ######################
+###############################################################################
+
+##### Load source functions #####
+source('/modules/Scorecards/tmp/LoadMetrics.R')
+source('/modules/Scorecards/tmp/WeightedMetrics.R')
+source('/modules/Scorecards/tmp/Utils.R')
+source('/modules/Scorecards/tmp/SCTransform.R')
+source('/modules/Scorecards/tmp/ScorecardsSingle.R')
+source('/modules/Scorecards/tmp/ScorecardsMulti.R')
+source('/modules/Scorecards/tmp/ScorecardsSystemDiff.R')
+source('/modules/Scorecards/tmp/SCPlotScorecard.R') 
+
+## Define function
+plot_scorecards <- function(recipe) {
+
+    ## set parameters
+    input.path <- '/esarchive/scratch/nmilders/scorecards_data/to_system/cross_validation/both_cross_val/' #recipe$Run$output_dir
+    output.path <- recipe$Run$output_dir
+    
+    system <- recipe$Analysis$Datasets$System$name
+    reference <- recipe$Analysis$Datasets$Reference$name
+    var <- recipe$Analysis$Variables$name
+    start.year <- as.numeric(recipe$Analysis$Time$hcst_start)
+    end.year <- as.numeric(recipe$Analysis$Time$hcst_end)
+    forecast.months <- recipe$Analysis$Time$ftime_min : recipe$Analysis$Time$ftime_max
+    
+    start.months <- 1:12 #recipe$Analysis$Workflow$Scorecards$start_months
+    
+    regions <- recipe$Analysis$Workflow$Scorecards$regions  
+    for (i in names(regions)){regions[[i]] <- unlist(regions[[i]])}
+    
+    metric.aggregation <- recipe$Analysis$Workflow$Scorecards$metric_aggregation
+    metrics.load <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Skill$metric), ", | |,"))
+    metrics.visualize <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Scorecards$metric), ", | |,"))
+    table.label <-  recipe$Analysis$Workflow$Scorecards$table_label
+    fileout.label <- recipe$Analysis$Workflow$Scorecards$fileout_label
+    legend.white.space <- recipe$Analysis$Workflow$Scorecards$legend_white_space 
+    col1.width <- recipe$Analysis$Workflow$Scorecards$col1_width
+    col2.width <- recipe$Analysis$Workflow$Scorecards$col2_width
+    calculate.diff <- recipe$Analysis$Workflow$Scorecards$calculate_diff
+    ncores <- recipe$Analysis$ncores
+    
+    ## Load data files
+    loaded_metrics <- LoadMetrics(system = system,
+                                  reference = reference,
+                                  var = var,
+                                  start.year = start.year,
+                                  end.year = end.year,
+                                  metrics =  metrics.load,
+                                  start.months = start.months,
+                                  forecast.months = forecast.months,
+                                  input.path = input.path)
+    
+    
+    if('region' %in% names(dim(loaded_metrics[[1]][[1]]))){
+      
+      ### Convert loaded metrics to array for allready aggregated data
+      metrics.dim <- attributes(loaded_metrics[[1]][[1]])$metrics 
+      forecast.months.dim <- attributes(loaded_metrics[[1]][[1]])$forecast.months 
+      start.months.dim <- attributes(loaded_metrics[[1]][[1]])$start.months 
+      regions.dim <- regions #list('NAO' = c(lon.min = -80, lon.max = 40, lat.min = 20, lat.max = 80))
+      
+      aggregated_metrics <- array(dim = c(system = length(loaded_metrics),
+                                          reference = length(loaded_metrics[[1]]),
+                                          metric = length(metrics.dim), 
+                                          time = length(forecast.months.dim), 
+                                          sdate = length(start.months.dim), 
+                                          region = length(regions.dim)))
+      
+      
+      for (sys in 1:length(names(loaded_metrics))){
+        for (ref in 1:length(names(loaded_metrics[[sys]]))){
+          aggregated_metrics[sys, ref, , , , ] <- s2dv::Reorder(data = loaded_metrics[[sys]][[ref]], order = c('metric','time','sdate','region'))
+        }
+      }
+      
+      ## Add attributes
+      attributes(aggregated_metrics)$metrics <- metrics.load
+      attributes(aggregated_metrics)$start.months <- attributes(loaded_metrics[[1]][[1]])$start.months
+      attributes(aggregated_metrics)$forecast.months <- attributes(loaded_metrics[[1]][[1]])$forecast.months
+      attributes(aggregated_metrics)$regions <- regions
+      attributes(aggregated_metrics)$system.name <- names(loaded_metrics)
+      attributes(aggregated_metrics)$reference.name <- names(loaded_metrics[[1]])
+      
+      
+    } else {
+      ## Calculate weighted mean of spatial aggregation
+      aggregated_metrics <- WeightedMetrics(loaded_metrics,
+                                            regions = regions,
+                                            metric.aggregation = metric.aggregation,
+                                            ncores = ncores)
+    }## close if
+    
+
+    # if(var == 'nao'){
+    #   legend.white.space <- 3.75
+    #   col1.width <- 2
+    #   col2.width <- 1
+    # } else{
+    #   legend.white.space <- col1.width <- col2.width <- NULL ## Use default values of function
+    #   
+    # }
+    
+    ## Define skill scores in scorec aggragtion has been requested
+    
+    if(metric.aggregation == 'score'){
+      if('rpss' %in% metrics.visualize){
+        metrics.visualize[metrics.visualize == 'rpss'] <- 'rpss_score_aggr'
+      }
+      if('crpss' %in% metrics.visualize){
+        metrics.visualize[metrics.visualize == 'crpss'] <- 'crpss_score_aggr'
+      }
+    }
+    
+    ## Create simple scorecard tables 
+    ## (one system only)
+    ## Metrics input must be in the same order as function SC_spatial_aggregation
+    scorecard_single <- ScorecardsSingle(data = aggregated_metrics,
+                                         system = system,
+                                         reference = reference,
+                                         var = var,
+                                         start.year = start.year,
+                                         end.year = end.year,
+                                         start.months = start.months,
+                                         forecast.months = forecast.months,
+                                         region.names = names(regions),
+                                         metrics = metrics.visualize,
+                                         table.label =  table.label,
+                                         fileout.label = fileout.label,
+                                         legend.white.space = legend.white.space, 
+                                         col1.width = col1.width,
+                                         col2.width = col2.width,
+                                         output.path = output.path)
+    
+    ## Create multi system/reference scorecard tables
+    ## (multiple systems with one reference or one system with multiple references)
+    ## Metrics input must be in the same order as function SC_spatial_aggregation
+    if(length(system) >  1 || length(reference) >  1){
+      scorecard_multi <- ScorecardsMulti(data = aggregated_metrics,
+                                         system = system,
+                                         reference = reference,
+                                         var = var,
+                                         start.year = start.year,
+                                         end.year = end.year,
+                                         start.months = start.months,
+                                         forecast.months = forecast.months,
+                                         region.names = attributes(regions)$names,
+                                         metrics = metrics.visualize,
+                                         table.label =  table.label,
+                                         fileout.label = fileout.label,
+                                         output.path = output.path)
+    } ## close if
+    
+    
+    if(calculate.diff == TRUE){
+      if(length(system) ==  2 || length(reference) ==  2){
+        scorecard_diff <- ScorecardsSystemDiff(data = aggregated_metrics,
+                                               system = system,
+                                               reference = reference,
+                                               var = var,
+                                               start.year = start.year,
+                                               end.year = end.year,
+                                               start.months = start.months,
+                                               forecast.months = forecast.months,
+                                               region.names = attributes(regions)$names,
+                                               metrics = metrics.visualize,
+                                               table.label = table.label,
+                                               fileout.label =  fileout.label,
+                                               legend.white.space = legend.white.space, 
+                                               col1.width = col1.width,
+                                               col2.width = col2.width,
+                                               output.path = output.path)
+      } else {stop ("Difference scorecard can only be computed with two systems or two references.")}
+    } ## close if on calculate.diff
+
+}
+    
diff --git a/modules/Scorecards/tmp/LoadMetrics.R b/modules/Scorecards/tmp/LoadMetrics.R
new file mode 100644
index 00000000..7e68b65a
--- /dev/null
+++ b/modules/Scorecards/tmp/LoadMetrics.R
@@ -0,0 +1,207 @@
+#' Scorecards load metrics from verification suite
+#' 
+#'@description Scorecards function to load saved data files 
+#'
+#'@param system A vector of character strings defining the names of the 
+#'  system names following the archive.yml format from verification suite. 
+#'  Accepted system names: 'ECMWF-SEAS5', 'DWD-GFCS2.1', 'CMCC-SPS3.5',
+#'  'ecmwfs5','Meteo-France-System 7', 'UK-MetOffice-GloSea600', 'NCEP-CFSv2'.
+#'@param reference A vector of character strings defining the names of 
+#'  the references following the archive.yml format from verification suite 
+#'  Pending to be test with more than one. The accepted names are: 'era5'.
+#'@param var A character string following the format from 
+#'  variable-dictionary.yml from verification suite (TO DO: multiple variables). 
+#'  The accepted names are: 'psl', 'tas', 'sfcWind', 'prlr'.
+#'@param start.year A numeric indicating the start year of the reference period
+#'@param end.year A numeric indicating the end year of the reference period
+#'@param start.months A vector indicating the numbers of the start months
+#'@param forecast.months A vector indicating the numbers of the forecast months
+#'@param input.path A character string indicating the path where metrics output 
+#'  files from verification suite are saved (or any other compatible files)
+#'
+#'@return A is a list by system and reference containing an array of with 
+#'   the following dimensions: longitude, latitude, forecast months, metrics, 
+#'   start dates.
+
+#'@examples
+#'\dontrun{
+#'loaded_metrics <- LoadMetrics(system = c('ECMWF-SEAS5','DWD-GFCS2.1'),
+#'                              reference. = 'ERA5',
+#'                              var = 'tas',
+#'                              start.year = 1993,
+#'                              end.year = 2016,
+#'                              metrics =  c('mean_bias', 'enscorr', 'rpss', 'crpss', 'enssprerr'),
+#'                              start.months = sprintf("%02d", 1:12),
+#'                              forecast.months = 1:6,
+#'                              input.path = '/esarchive/scratch/nmilders/scorecards_data/input_data')
+#'}
+#'@import easyNCDF
+#'@import abind
+#'@export 
+LoadMetrics <- function(system, reference, var, start.year, end.year,
+                        metrics, start.months, forecast.months,
+                        inf_to_na = FALSE,
+                        input.path) {
+  
+  # Initial checks
+  ## system
+  if (!is.character(system)) {
+    stop("Parameter 'system' must be a character vector with the system names.")
+  }
+  ## reference
+  if (!is.character(reference)) {
+    stop("Parameter 'reference' must be a character vector with the reference ",
+         "names.")
+  }
+  ## var
+  if (!is.character(var)) {
+    stop("Parameter 'var' must be a character vector with the var ",
+         "names.")
+  }
+  if (length(var) > 1) {
+    warning("Parameter 'var' must be of length one. Only the first value ", 
+            "will be used.")
+    var <- var[1]
+  }
+  ## start.year
+  if (!is.numeric(start.year)) {
+    stop("Parameter 'start.year' must be a numeric value.")
+  }
+  ## end.year
+  if (!is.numeric(end.year)) {
+    stop("Parameter 'end.year' must be a numeric value.")
+  }
+  ## metrics
+  if (!is.character(metrics)) {
+    stop("Parameter 'metrics' cannot be NULL.")
+  }
+  ## start.months
+  if (is.character(start.months)) {
+    warning("Parameter 'start.months' must be a numeric vector indicating ", 
+            "the starting months.")
+    start.months <- as.numeric(start.months)
+  }
+  if (!is.numeric(start.months)) {
+    stop("Parameter 'start.months' must be a numeric vector indicating ", 
+         "the starting months.")
+  }
+  start.months <- sprintf("%02d", start.months)
+  ## Check if sdates are continuous or discrete
+  if (all(diff(as.numeric(start.months)) == 1)) {
+    consecutive_start.months <- TRUE
+  } else {
+    consecutive_start.months <- FALSE
+  }
+  ## forecast.months
+  if (!is.numeric(forecast.months)) {
+    stop("Parameter 'forecast.months' must be a numeric vector indicating ", 
+         "the starting months.")
+  }
+  ## input.path 
+  if (!is.character(input.path)) {
+    stop("Parameter 'input.path must be a character string.")
+  }
+  if (length(input.path) > 1) {
+    input.path <- input.path[1]
+    warning("Parameter 'input.path' has length greater than 1 and only the ",
+            "first element will be used.")
+  }
+  
+  ## Remove . from names
+  system <- gsub('.','', system, fixed = T)
+  reference <- gsub('.','', reference, fixed = T)
+  
+  period <- paste0(start.year, "-", end.year)
+  
+  ## Define empty list to saved data
+  all_metrics <- sapply(system, function(x) NULL)
+  ## Load data for each system
+  for (sys in 1:length(system)) {
+    ## Define empty list to saved data
+    by_reference <- sapply(reference, function(x) NULL)
+    ## Load data for each reference
+    for (ref in 1:length(reference)) {
+      ## Call function to load metrics data
+      met <- .Loadmetrics(input.path = input.path, # recipe$Run$output, 
+                          system = system[sys],
+                          reference = reference[ref],
+                          var = var,
+                          period = period, 
+                          start.months = start.months,
+                          forecast.months = forecast.months,
+                          metrics = metrics)
+      ## Save metric data as array in reference list
+      by_reference[[reference[ref]]] <- met
+      ## Remove -Inf from crpss data if variable is precipitation
+      if (inf_to_na) {
+        by_reference[[reference]][by_reference[[reference]]==-Inf] <- NA      
+      }
+    } ## close loop on reference
+    ## Save reference data in list of system
+    all_metrics[[system[sys]]] <- by_reference
+  } ## close loop on system
+  
+  return(all_metrics)
+} ## close function
+
+############################################################
+
+.Loadmetrics <- function(input.path, system, reference, 
+                       var, period, start.months, 
+                       forecast.months, metrics) {
+  
+  ## Load data for each start date
+  allfiles <- sapply(start.months, function(m) {
+                     paste0(input.path, "/", system, "/", var, 
+                            "/scorecards_", system, "_", reference, "_", 
+                            var, "-skill_", period, "_s", m, # mod.pressure,
+                            ".nc")})
+  allfiles_exist <- sapply(allfiles, file.exists)
+
+  # Check dims
+  files_exist_by_month <- seq(1:length(allfiles))[allfiles_exist]
+  allfiledims <- sapply(allfiles[allfiles_exist], easyNCDF::NcReadDims)
+  if (length(files_exist_by_month) == 0) {
+    stop("No files are found.")
+  }
+
+  num_dims <- numeric(dim(allfiledims)[1])
+  for (i in 1:dim(allfiledims)[1]) {
+    if (length(unique(allfiledims[i,])) > 1) {
+      warning(paste0("Dimensions of system ", system," with var ", var, 
+                     " don't match."))
+    }
+    num_dims[i] <- max(allfiledims[i,]) # We take the largest dimension
+  }
+  # dims: [metric, longitude, latitude, time, smonth]
+  # or [metric, region, time, smonth] 
+
+  # Loop for file
+  m <- array(files_exist_by_month, c(sdate = length(files_exist_by_month)))
+  array_met_by_sdate <- apply(m, 1, function(x) {
+    test <- easyNCDF::NcToArray(allfiles[x], vars_to_read = metrics, unlist = T,
+                                        drop_var_dim = T)
+    test})
+  dim(array_met_by_sdate) <- c(metric = length(metrics), allfiledims[-1,1], 
+                               sdate = length(start.months))
+
+  # Attributes
+  # Read attributes from the first existing file
+  if ("region" %in% rownames(allfiledims)) {
+    file_for_att <- ncdf4::nc_open(allfiles[allfiles_exist[1]])
+    region <- ncdf4::ncatt_get(file_for_att, 'region')
+    ncdf4::nc_close(file_for_att)                  
+    attributes(array_met_by_sdate)$region <- region
+  } else {
+    lon <- easyNCDF::NcToArray(allfiles[allfiles_exist][1], vars_to_read = 'longitude', 
+                               unlist = T, drop_var_dim = T)
+    lat <- easyNCDF::NcToArray(allfiles[allfiles_exist][1], vars_to_read = 'latitude', 
+                               unlist = T, drop_var_dim = T)
+    attributes(array_met_by_sdate)$lon <- lon
+    attributes(array_met_by_sdate)$lat <- lat
+  }
+  attributes(array_met_by_sdate)$metrics <- metrics
+  attributes(array_met_by_sdate)$start.months <- start.months
+  attributes(array_met_by_sdate)$forecast.months <- forecast.months
+  return(array_met_by_sdate)
+}
diff --git a/modules/Scorecards/tmp/SCPlotScorecard.R b/modules/Scorecards/tmp/SCPlotScorecard.R
new file mode 100644
index 00000000..4373057b
--- /dev/null
+++ b/modules/Scorecards/tmp/SCPlotScorecard.R
@@ -0,0 +1,444 @@
+#'Scorecards function create simple scorecards by region (types 1 & 3)
+#' 
+#'@description This function creates a scorecard for a single system and 
+#'reference combination, showing data by region and forecast month.
+#'  
+#'@param data A multidimensional array containing spatially aggregated metrics 
+#'  data with dimensions: metric, region, sdate and ftime.
+#'@param row.dim A character string indicating the dimension name to show in the 
+#'  rows of the plot.
+#'@param subrow.dim A character string indicating the dimension name to show in 
+#'  the sub-rows of the plot.
+#'@param col.dim A character string indicating the dimension name to show in the 
+#'  columns of the plot.
+#'@param subcol.dim A character string indicating the dimension name to show in  
+#'  the sub-columns of the plot.
+#'@param legend.dim  A character string indicating the dimension name to use for 
+#'  the legend.
+#'@param row.names A vector of character strings with row display names.
+#'@param subrow.names A vector of character strings with sub-row display names.
+#'@param col.names A vector of character strings with column display names.
+#'@param subcol.names A vector of character strings with sub-column display 
+#'  names.
+#'@param row.title A character string for the title of the row names.
+#'@param subrow.title A character string for the title of the sub-row names.
+#'@param table.title A character string for the title of the plot.
+#'@param table.subtitle A character string for the sub-title of the plot.
+#'@param legend.breaks A vector of numerics or a list of vectors of numerics,
+#'  containing the breaks for the legends. If a vector is given as input, then 
+#'  these breaks will be repeated for each legend.dim. A list of vectors can be 
+#'  given as input if the legend.dims require different breaks. This parameter 
+#'  is required even if the legend is not plotted, to define the colors in the 
+#'  scorecard table.
+#'@param plot.legend A logical value to determine if the legend is plotted.
+#'@param legend.width A numeric value to define the width of the legend bars.
+#'@param legend.height A numeric value to define the height of the legend bars.
+#'@param palette A vector of character strings or a list of vectors of 
+#'  character strings containing the colors to use in the legends. If a vector 
+#'  is given as input, then these colors will be used for each legend.dim. A 
+#'  list of vectors can be given as input if different colors are desired for 
+#'  the legend.dims. This parameter must be included even if the the legend is 
+#'  not plotted, to define the colors in the scorecard table.
+#'@param colorunder A character string or of vector of character strings 
+#'  defining the colors to use for data values with are inferior to the lowest 
+#'  breaks value. This parameter will also plot a inferior triangle in the 
+#'  legend bar. The parameter can be set to NULL if there are no inferior values.
+#'  If a character string is given this color will be applied to all legend.dims.
+#'@param colorsup A character string or of vector of character strings 
+#'  defining the colors to use for data values with are superior to the highest 
+#'  breaks value. This parameter will also plot a inferior triangle in the 
+#'  legend bar. The parameter can be set to NULL if there are no superior values.
+#'  If a character string is given this color will be applied to all legend.dims. 
+#'@param round.decimal A numeric indicating to which decimal point the data 
+#'  is to be displayed in the scorecard table.
+#'@param font.size A numeric indicating the font size on the scorecard table.
+#'@param fileout A path of the location to save the scorecard plots.
+#' 
+#'@return An image file containing the scorecard.
+#'@example 
+#'data <- array(rnorm(1000), dim = c('sdate' = 12, 'metric' = 4, 'region' = 3, 
+#'                                   'time' = 6)) 
+#'row.names <- c('Tropics', 'Extra-tropical NH', 'Extra-tropical SH')
+#'col.names <- c('Mean bias (K)', 'Correlation', 'RPSS','CRPSS')
+#'SCPlotScorecard(data = data, row.names = row.names, col.names = col.names, 
+#'                subcol.names =  month.abb[as.numeric(1:12)],
+#'                row.title = 'Region', subrow.title = 'Forecast Month', 
+#'                col.title = 'Start date', 
+#'                table.title = "Temperature of ECMWF System 5", 
+#'                table.subtitle = "(Ref: ERA5 1994-2016)", 
+#'                fileout = 'test.png')
+#'
+#'@import kableExtra
+#'@import s2dv
+#'@import ClimProjDiags
+#'@export
+SCPlotScorecard <- function(data, row.dim = 'region', subrow.dim = 'time',
+                            col.dim = 'metric', subcol.dim = 'sdate',
+                            legend.dim = 'metric', row.names = NULL,
+                            subrow.names = NULL, col.names = NULL,
+                            subcol.names = NULL, row.title = NULL,
+                            subrow.title = NULL, col.title = NULL,
+                            table.title = NULL, table.subtitle = NULL,
+                            legend.breaks = NULL, plot.legend = TRUE,
+                            label.scale = NULL, legend.width = NULL,
+                            legend.height = NULL, palette = NULL,
+                            colorunder = NULL, colorsup = NULL,
+                            round.decimal = 2, font.size = 1.1,
+                            legend.white.space = NULL, 
+                            col1.width = NULL, col2.width = NULL,
+                            fileout = './scorecard.png') {
+  # Input parameter checks
+  ## Check data
+  if (!is.array(data)) {
+    stop("Parameter 'data' must be a numeric array.")
+  }
+  ## Check row.dim
+  if (!is.character(row.dim)) {
+    stop("Parameter 'row.dim' must be a character string.")
+  }
+  if (!row.dim %in% names(dim(data))) {
+    stop("Parameter 'row.dim' is not found in 'data' dimensions.")
+  }
+  ## Check row.names
+  if (!is.null(row.names)) {
+    if (length(row.names) != as.numeric(dim(data)[row.dim])) {
+      stop("Parameter 'row.names' must have the same length of dimension 'row.dims'.")
+    }
+  } else {
+    row.names <- as.character(1:dim(data)[row.dim])
+  }
+  ## Check subrow.dim
+  if (!is.character(subrow.dim)) {
+    stop("Parameter 'subrow.dim' must be a character string.")
+  }
+  if (!subrow.dim %in% names(dim(data))) {
+    stop("Parameter 'subrow.dim' is not found in 'data' dimensions.")
+  }
+  ## Check subrow.names
+  if (!is.null(subrow.names)) {
+    if (length(subrow.names) != as.numeric(dim(data)[subrow.dim])) {
+      stop("Parameter 'subrow.names' must have the same length of dimension 'subrow.dims'.")
+    }
+  } else {
+    subrow.names <- as.character(1:dim(data)[subrow.dim])
+  }
+  ## Check col.dim
+  if (!is.character(col.dim)) {
+    stop("Parameter 'col.dim' must be a character string.")
+  }
+  if (!col.dim %in% names(dim(data))) {
+    stop("Parameter 'col.dim' is not found in 'data' dimensions.")
+  }
+  ## Check col.names
+  if (!is.null(col.names)) {
+    if (length(col.names) != as.numeric(dim(data)[col.dim])) {
+      stop("Parameter 'col.names' must have the same length of dimension 'col.dims'.")
+    }
+  } else {
+    col.names <- as.character(1:dim(data)[col.dim])
+  }
+  ## Check subcol.dim
+  if (!is.character(subcol.dim)) {
+    stop("Parameter 'subcol.dim' must be a character string.")
+  }
+  if (!subcol.dim %in% names(dim(data))) {
+    stop("Parameter 'subcol.dim' is not found in 'data' dimensions.")
+  }
+  ## Check subcol.names
+  if (!is.null(subcol.names)) {
+    if (length(subcol.names) != as.numeric(dim(data)[subcol.dim])) {
+      stop("Parameter 'subcol.names' must have the same length of dimension 'subcol.dims'.")
+    }
+  } else {
+    subcol.names <- as.character(1:dim(data)[subcol.dim])
+  }
+  ## Check legend.dim
+  if (!is.character(legend.dim)) {
+    stop("Parameter 'legend.dim' must be a character string.")
+  }
+  if (!legend.dim %in% names(dim(data))) {
+    stop("Parameter 'legend.dim' is not found in 'data' dimensions.")
+  }
+  ## Check row.title inputs
+  if (!is.null(row.title)) {
+    if (!is.character(row.title)) {
+      stop("Parameter 'row.title must be a character string.")
+    }
+  } else {
+    row.title <- ""
+  }
+  ## Check subrow.title
+  if (!is.null(subrow.title)) {
+    if (!is.character(subrow.title)) {
+      stop("Parameter 'subrow.title must be a character string.")
+    }
+  } else {
+    subrow.title <- ""
+  }
+  ## Check col.title
+  if (!is.null(col.title)) {
+    if (!is.character(col.title)) {
+      stop("Parameter 'col.title must be a character string.")
+    }
+  } else {
+    col.title <- ""
+  }
+  ## Check table.title
+  if (!is.null(table.title)) {
+    if (!is.character(table.title)) {
+      stop("Parameter 'table.title' must be a character string.")
+    }
+  } else {
+    table.title <- ""
+  }
+  ## Check table.subtitle
+  if (!is.null(table.subtitle)) {
+    if (!is.character(table.subtitle)) {
+      stop("Parameter 'table.subtitle' must be a character string.")
+    }
+  } else {
+    table.subtitle <- ""
+  }
+  # Check legend.breaks
+  if (is.vector(legend.breaks) && is.numeric(legend.breaks)) {
+    legend.breaks <- rep(list(legend.breaks), as.numeric(dim(data)[legend.dim]))
+  } else if (is.null(legend.breaks)) {
+    legend.breaks <- rep(list(seq(-1, 1, 0.2)), as.numeric(dim(data)[legend.dim]))
+  } else if (inherits(legend.breaks, 'list')) {
+    stopifnot(length(legend.breaks) == as.numeric(dim(data)[legend.dim]))
+  } else {
+    stop("Parameter 'legend.breaks' must be a numeric vector, a list or NULL.")
+  }
+  ## Check plot.legend
+  if (!inherits(plot.legend, 'logical')) {
+    stop("Parameter 'plot.legend' must be a logical value.")
+  }
+  ## Check label.scale
+  if (is.null(label.scale)) {
+    label.scale <- 1.4
+  } else {
+    if (!is.numeric(label.scale) | length(label.scale) != 1) {
+      stop("Parameter 'label.scale' must be a numeric value of length 1.")
+    }
+  }
+  ## Check legend.width
+  if (is.null(legend.width)) {
+    legend.width <- length(subcol.names) * 46.5
+  } else {
+    if (!is.numeric(legend.width) | length(legend.width) != 1) {
+      stop("Parameter 'legend.width' must be a numeric value of length 1.")
+    }
+  }
+  if (is.null(legend.height)) {
+    legend.height <- 50
+  } else {
+    if (!is.numeric(legend.height) | length(legend.height) != 1) {
+      stop("Parameter 'legend.height' must be a numeric value of length 1.")
+    }
+  }
+  ## Check colour palette input
+  if (is.vector(palette)) {
+    palette <- rep(list(palette), as.numeric(dim(data)[legend.dim]))
+  } else if (is.null(palette)) {
+    palette <- rep(list(c('#2D004B', '#542789', '#8073AC', '#B2ABD2', '#D8DAEB', 
+                          '#FEE0B6', '#FDB863', '#E08214', '#B35806', '#7F3B08')), 
+                        as.numeric(dim(data)[legend.dim]))
+  } else if (inherits(palette, 'list')) {
+    stopifnot(length(palette) == as.numeric(dim(data)[legend.dim]))
+  } else {
+    stop("Parameter 'palette' must be a numeric vector, a list or NULL.")
+  }
+  ## Check colorunder
+  if (is.null(colorunder)) {
+    colorunder <- rep("#04040E",as.numeric(dim(data)[legend.dim]))
+  } else if (is.character(colorunder) && length(colorunder) == 1) {
+    colorunder <- rep(colorunder, as.numeric(dim(data)[legend.dim]))
+  } else if (is.character(colorunder) && 
+             length(colorunder) != as.numeric(dim(data)[legend.dim])) {
+    stop("Parameter 'colorunder' must be a numeric vector, a list or NULL.")
+  }
+  ## Check colorsup
+  if (is.null(colorsup)) {
+    colorsup <- rep("#730C04", as.numeric(dim(data)[legend.dim]))
+  } else if (is.character(colorsup) && length(colorsup) == 1) {
+    colorsup <- rep(colorsup,as.numeric(dim(data)[legend.dim]))
+  } else if (is.character(colorsup) && 
+             length(colorsup) != as.numeric(dim(data)[legend.dim])) {
+    stop("Parameter 'colorsup' must be a numeric vector, a list or NULL.")
+  }
+  ## Check round.decimal
+  if (is.null(round.decimal)) {
+    round.decimal <- 2
+  } else if (!is.numeric(round.decimal) | length(round.decimal) != 1) {
+    stop("Parameter 'round.decimal' must be a numeric value of length 1.")
+  }
+  ## Check font.size
+  if (is.null(font.size)) {
+    font.size <- 1
+  } else if (!is.numeric(font.size) | length(font.size) != 1) {
+    stop("Parameter 'font.size' must be a numeric value of length 1.")
+  }
+  ## Check legend white space
+  if (is.null(legend.white.space)){
+    legend.white.space <- 6
+  } else {
+    legend.white.space <- legend.white.space
+  }
+  ## Check col1.width
+  if (is.null(col1.width)) {
+    if (max(nchar(row.names)) == 1 ) {
+      col1.width <- max(nchar(row.names))
+    } else {
+      col1.width <- max(nchar(row.names))/4
+    }
+  } else if (!is.numeric(col1.width)) {
+    stop("Parameter 'col1.width' must be a numeric value of length 1.")
+  }  
+  ## Check col2.width
+  if (is.null(col2.width)) {
+    if (max(nchar(subrow.names)) == 1 ) {
+      col2.width <- max(nchar(subrow.names))
+    } else {
+      col2.width <- max(nchar(subrow.names))/4
+    }
+  } else if (!is.numeric(col2.width)) {
+    stop("Parameter 'col2.width' must be a numeric value of length 1.")
+  }
+
+  
+  # Get dimensions of inputs
+  n.col.names <- length(col.names) 
+  n.subcol.names <- length(subcol.names)
+  n.row.names <- length(row.names)
+  n.subrow.names <- length(subrow.names)
+  
+  # Define table size
+  n.rows <- n.row.names * n.subrow.names 
+  n.columns <- 2 + (n.col.names * n.subcol.names)
+  
+  # Column names
+  row.names.table <- rep("", n.rows)
+  for (row in 1:n.row.names) {
+    row.names.table[floor(n.subrow.names/2) + (row - 1) * n.subrow.names] <- row.names[row]
+  }
+  
+  # Define scorecard table titles
+  column.titles <- c(row.title, subrow.title, rep(c(subcol.names), n.col.names))
+  
+  # Round data
+  data <- round(data, round.decimal)
+  
+  # Define data inside the scorecards table
+  for (row in 1:n.row.names) {
+    table_temp <- data.frame(table_column_2 = as.character(subrow.names))
+    for (col in 1:n.col.names) {
+      table_temp <- data.frame(table_temp, 
+                               Reorder(data = Subset(x = data, along = c(col.dim, row.dim), 
+                                                     indices = list(col, row), drop = 'selected'), 
+                               order = c(subrow.dim, subcol.dim)))
+    }
+    if (row == 1) {
+      table_data <- table_temp
+    } else {
+      table_data <- rbind(table_data, table_temp)
+    }
+  }
+  
+  # All data for plotting in table
+  table <- data.frame(table_column_1 = row.names.table, table_data)
+  table_temp <- array(unlist(table[3:n.columns]), dim = c(n.rows, n.columns - 2))
+  # Define colors to show in table
+  table_colors  <- .SCTableColors(table = table_temp, n.col = n.col.names, 
+                                  n.subcol = n.subcol.names, n.row = n.row.names,
+                                  n.subrow = n.subrow.names, legend.breaks = legend.breaks,
+                                  palette = palette, colorunder = colorunder,
+                                  colorsup = colorsup)
+  metric.color <- table_colors$metric.color
+  metric.text.color <- table_colors$metric.text.color
+  # metric.text.bold <- table_colors$metric.text.bold
+  
+  options(stringsAsFactors = FALSE) 
+  title <- data.frame(c1 = table.title, c2 = n.columns)
+  subtitle <- data.frame(c1 = table.subtitle, c2 = n.columns)
+  header.names <- as.data.frame(data.frame(c1 = c("", col.names), 
+                                           c2 = c(2, rep(n.subcol.names, n.col.names))))
+  header.names2 <- as.data.frame(data.frame(c1 = c("", paste0(rep(col.title, n.col.names))), 
+                                            c2 = c(2, rep(n.subcol.names, n.col.names))))
+  title.space <- data.frame(c1 = "\n", c2 = n.columns)
+  
+  # Hide NA values in table
+  options(knitr.kable.NA = '')
+  
+  # Create HTML table
+  table.html.part <- list()
+  table.html.part[[1]] <- kbl(table, escape = F, col.names = column.titles, align = rep("c", n.columns)) %>%
+                          kable_paper("hover", full_width = F, font_size = 14 * font.size) %>%
+                          add_header_above(header = header.names2, font_size = 16 * font.size) %>%
+                          add_header_above(header = title.space, font_size = 10 * font.size) %>%
+                          add_header_above(header = header.names, font_size = 20 * font.size) %>%
+                          add_header_above(header = title.space, font_size = 10 * font.size) %>%
+                          add_header_above(header = subtitle, font_size = 16 * font.size, align = "left") %>% 
+                          add_header_above(header = title.space, font_size = 10 * font.size) %>%
+                          add_header_above(header = title, font_size = 22 * font.size, align = "left")
+  
+  for (i in 1:n.col.names) { 
+    for (j in 1:n.subcol.names) { 
+      my.background <- metric.color[, (i - 1) * n.subcol.names + j]
+      my.text.color <- metric.text.color[, (i - 1) * n.subcol.names + j]
+      # my.bold <- metric.text.bold[(i - 1) * n.subcol.names + j]
+      
+      table.html.part[[(i - 1) * n.subcol.names + j + 1]] <-
+        column_spec(table.html.part[[(i - 1) * n.subcol.names + j]], 
+                    2 + n.subcol.names * (i - 1) + j, 
+                    background = my.background[1:n.rows], 
+                    color = my.text.color[1:n.rows], 
+                    bold = T) ## strsplit(toString(bold), ', ')[[1]]
+    }
+  }
+
+  # Define position of table borders
+  column.borders <- NULL
+  for (i in 1:n.col.names) {
+    column.spacing <- (n.subcol.names * i) + 2
+    column.borders <- c(column.borders, column.spacing)
+  }
+  
+  n.last.list <- n.col.names * n.subcol.names + 1
+
+  table.html <- column_spec(table.html.part[[n.last.list]], 1, bold = TRUE, width_min = paste0(col1.width, 'cm')) %>%
+                column_spec(2, bold = TRUE,  width_min = paste0(col2.width, 'cm')) %>%
+                column_spec(3:n.columns, width_min = "1.2cm") %>% 
+                column_spec(c(1, 2, column.borders), border_right = "2px solid black") %>% 
+                column_spec(1, border_left = "2px solid black") %>%
+                column_spec(n.columns, border_right = "2px solid black") %>%
+                row_spec(seq(from = 0, to = n.subrow.names * n.row.names, by = n.subrow.names), 
+                         extra_css = "border-bottom: 2px solid black", hline_after = TRUE)
+  
+  if (plot.legend == TRUE) {
+    # Save the scorecard (without legend)
+    save_kable(table.html, file = paste0(fileout, '_tmpScorecard.png'), vheight = 1)
+    
+    # White space for legend
+    legend.white.space <- 37.8 * legend.white.space ## converting pixels to cm
+    
+    # Create and save color bar legend
+    scorecard_legend <- .SCLegend(legend.breaks = legend.breaks,
+                                  palette = palette,
+                                  colorunder = colorunder,
+                                  colorsup = colorsup,
+                                  label.scale = label.scale,
+                                  legend.width = legend.width,
+                                  legend.height = legend.height,
+                                  legend.white.space = legend.white.space,
+                                  fileout = fileout)
+    
+    # Add the legends below the scorecard table 
+    system(paste0('convert -append ', fileout, '_tmpScorecard.png ', fileout, 
+                  '_tmpScorecardLegend.png ', fileout))
+    # Remove temporary scorecard table
+    unlink(paste0(fileout, '_tmpScorecard*.png'))
+  }
+  if (plot.legend == FALSE) {
+    save_kable(table.html, file = fileout)
+  } 
+}
diff --git a/modules/Scorecards/tmp/SCTransform.R b/modules/Scorecards/tmp/SCTransform.R
new file mode 100644
index 00000000..585e7576
--- /dev/null
+++ b/modules/Scorecards/tmp/SCTransform.R
@@ -0,0 +1,42 @@
+#' Scorecards spatially transform calculated means
+#' 
+#'@description Scorecards function to spatially transform the layout of the 
+#'calculated metric means, to show 'Target Month' instead of 'Start Date'.
+#'
+#'@param data A multidimensional array of spatially aggregated data containing 
+#'  the following dimensions; system, reference, metric, time, sdate, region.
+#'@param sdate_dim A character name referring to the dimension of start date 
+#'  in the array aggregated_metrics.
+#'@param ftime_dim A character name referring to the dimension of forecast 
+#'  time in the array aggregated_metrics.
+#'@param ncores An integer indicating the number of cores to use in parallel 
+#'  computation. It is NULL by default (1 core).
+#'  
+#'@example 
+#'transformed_data <- SCTransform(data = aggregated_metrics,
+#'                                sdate_dim = 'sdate',
+#'                                ftime_dim = 'time')
+#'@import multiApply
+#'@importFrom s2dv Reorder
+#'@export 
+SCTransform <- function(data,
+                        sdate_dim,
+                        ftime_dim, 
+                        ncores = NULL) {
+  
+  output <- multiApply::Apply(data = data, 
+                              target_dims = c(ftime_dim, sdate_dim),
+                              fun = .SCTransform, 
+                              ncores = ncores)$output1
+  
+  return(Reorder(data = output, order = names(dim(data))))
+}
+
+.SCTransform <- function(data) {
+  output <- data
+  n_sdates <- dim(data)[sdate_dim]
+  for (i in 2:dim(data)[ftime_dim]) {
+    output[i, ] <- data[i, c((n_sdates - i + 2):n_sdates, 1:(n_sdates - i + 1))]
+  }
+  return(output)
+}
diff --git a/modules/Scorecards/tmp/ScorecardsMulti.R b/modules/Scorecards/tmp/ScorecardsMulti.R
new file mode 100644
index 00000000..89f1df44
--- /dev/null
+++ b/modules/Scorecards/tmp/ScorecardsMulti.R
@@ -0,0 +1,360 @@
+#'Function to create all multi system/reference scorecards
+#' 
+#'@description Scorecards function to create scorecard tables for multiple systems
+#' and references (types 9 to 12).
+#'@param input_data is an array of spatially aggregated metrics containing the
+#'   following dimensions; system, reference, metric, time, sdate, region.
+#'@param system a vector of character strings defining the systems following the
+#'   archive.yml format from verification suite 
+#'@param reference a vector of character strings defining the references 
+#'  following the archive.yml format from verification suite 
+#'@param var a character string following the format from 
+#'  variable-dictionary.yml from verification suite 
+#'@param start.year a numeric indicating the start year of the reference period
+#'@param end.year a numeric indicating the end year of the reference period
+#'@param start.date a vector of character strings indicating the start months
+#'@param forecast.month a vector of numeric indicating the forecast months
+#'@param region.names a vector of character strings containing names of the 
+#'  regions corresponding to the input data
+#'@param metrics a vector of character strings containing the metrics.
+#'@param table.label a character string containing additional information to 
+#'  include in the scorecard title
+#'@param fileout.label a character string containing additional information to 
+#'  include in the output png file when saving the scorecard.
+#'@param output.path a path of the location to save the scorecard plots.
+#'
+#'@return
+#' This function returns 4 scorecard images for each region requested, the 
+#' images are saved in the directory output.path.
+
+#'@example
+#' scorecard_multi <- ScorecardsMulti(data = aggregated_metrics,
+#'                                    system.name = c('ECMWF-SEAS5','DWD-GFCS2.1'),
+#'                                    reference.name = 'ERA5',
+#'                                    var = 'tas', 
+#'                                    start.year = 1993,
+#'                                    end.year = 2016,
+#'                                    start.months = 1:12,
+#'                                    forecast.months = 1:6,
+#'                                    region.names = c('Tropics', 'Extra-tropical NH', 'Extra-tropical SH')
+#'                                    metrics = c('mean_bias', 'enscorr', 'rpss','crpss', 'enssprerr'),
+#'                                    table.label = '(Interpolation = to system, Aggregation level = skill, Cross-validation = terciles)',
+#'                                    fileout.label = '_crossval-terciles_agg-skill',
+#'                                    output.path = '/esarchive/scratch/nmilders/scorecards_images/testing'
+#'                                    )
+
+
+ScorecardsMulti <- function(data,
+                            system,
+                            reference,
+                            var,
+                            start.year,
+                            end.year,
+                            start.months,
+                            forecast.months,
+                            region.names,
+                            metrics,
+                            table.label,
+                            fileout.label,
+                            output.path){
+
+  ## Checks to apply:
+  # first dimension in aggregated_metrics is system and second dimension is reference
+  # either multi-system and one reference, or multi-reference and one system
+  
+  ## Initial checks
+  if (is.null(table.label)){
+    table.label <- ""
+  }
+  if (is.null(fileout.label)){
+    fileout.label <- ""
+  }
+  
+  ## Make sure input_data is in correct order for using in functions:
+  data_order <- c('system','reference','metric','time','sdate','region')
+  data <- Reorder(data, data_order)
+  
+  ## Identify metrics loaded
+  metrics_loaded <-  attributes(data)$metrics
+  
+  ## Select only the metrics to visualize from data
+  input_data <- Subset(data, along = 'metric', indices = match(metrics, metrics_loaded))
+  attributes(input_data)$metrics <- metrics
+  
+  ## Transform data for scorecards by forecast month (types 11 & 12)
+  transformed_data <- SCTransform(data = input_data,
+                                  sdate_dim = 'sdate',
+                                  ftime_dim = 'time')
+  
+  ## Load configuration files
+  sys_dict <- read_yaml("/esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/conf/archive.yml")$esarchive
+  var_dict <- read_yaml("/esarchive/scratch/nmilders/gitlab/git_clones/csscorecards/inst/config/variable-dictionary.yml")$vars
+
+  ## Get scorecards table display names from configuration files
+  var.name <- var_dict[[var]]$long_name
+  var.units <- var_dict[[var]]$units
+
+  system.name <-  NULL
+  reference.name <- NULL
+  
+  for(sys in 1:length(system)){
+    system.name1 <- sys_dict$System[[system[sys]]]$name 
+    system.name <- c(system.name, system.name1)
+  }
+  for(ref in 1:length(length)){
+    reference.name1 <- sys_dict$Reference[[reference[ref]]]$name
+    reference.name <- c(reference.name, reference.name1)
+  }
+  
+  ## Get metric long names
+  metric.names.list <- .met_names(metrics, var.units)
+  
+  ## format the metric names as character instead of list
+  for(met in metrics){
+    if(met == metrics[1]){
+      metric.names <- metric.names.list[[met]] 
+    } else {
+      metric.names <- c(metric.names, metric.names.list[[met]])
+    }
+  }
+  
+  ## Define parameters depending on Multi-system or Multi-reference
+  if(length(system) > 1 && length(reference) == 1){
+    model <- 'system'
+    table.model.name <- 'System'
+    model.name <- system.name
+    eval.label <- 'Ref'
+    eval.name <- reference.name
+    eval.filename <- reference
+  } else if(length(system) == 1 && length(reference) > 1){
+    model <- 'reference'
+    table.model.name <- 'Reference'
+    model.name <- reference.name
+    eval.label <- 'Sys'
+    eval.name <- system.name
+    eval.filename <- system
+  } else {stop('Not multi system or multi reference')}
+  
+  ## Define table colors 
+  palette <- c('#2D004B', '#542789', '#8073AC', '#B2ABD2', '#D8DAEB', '#FEE0B6', '#FDB863', '#E08214', '#B35806', '#7F3B08')
+  colorunder <- "#04040E"
+  colorsup <- "#730C04"
+  
+  ## Legend lower limit color
+  legend.col.inf <- .legend_col_inf(metrics, colorunder)
+  legend.col.inf <- legend.col.inf[metrics]
+  
+  ## Legend upper limit color
+  legend.col.sup <- .legend_col_sup(metrics, colorsup)
+  legend.col.sup <- legend.col.sup[metrics]
+  
+  ## Legend inputs
+  plot.legend = TRUE
+  label.scale = 1.4
+  legend.width = 555
+  legend.height = 50
+  
+  ## Data display inputs
+  round.decimal = 2
+  font.size = 1.1
+  
+  legend.white.space  <- col1.width <- col2.width <- NULL ## Use default values of function
+
+  ## Loop over region 
+  for(reg in 1:length(region.names)){
+    
+    breaks_bias <- NULL
+    
+    ## Find position of mean bias metric to calculate breaks
+    if ('mean_bias' %in% metrics) {
+      pos_bias <- which(metrics == 'mean_bias')
+      if(var == 'psl'){
+        data[,,pos_bias,,,] <- data[,,pos_bias,,,]/100 ## temporary
+      }
+      breaks_bias <- .SCBiasBreaks(Subset(data, along = c('metric','region'), 
+                                          indices = list(pos_bias,reg)))
+    }
+    
+    ## Define breaks for each metric based of metric position:
+    legend.breaks <- .met_breaks(metrics, breaks_bias)
+    
+    ## Define scorecard titles
+    table.title <- paste0(var.name, ".  Region: ", region.names[reg], " ", table.label)
+    table.subtitle <- paste0("(", eval.label, ": ", eval.name, " ", start.year, "-", end.year, ")")
+    
+    
+      #### Scorecard_type 9 ####
+      ## (no transformation or reorder)
+      fileout <- .Filename(model = model, eval.name = eval.filename, var = var, 
+                           start.year = start.year, end.year = end.year, scorecard.type = 9, 
+                           region =  sub(" ", "-", region.names[reg]),
+                           fileout.label = fileout.label, output.path = output.path)
+    if(model == 'system'){
+      data_sc_9 <- Subset(input_data, c('reference','region'), list(1, reg), drop = 'selected')
+    } else if(model == 'reference'){
+      data_sc_9 <- Subset(input_data, c('system','region'), list(1, reg), drop = 'selected')
+    }
+      SCPlotScorecard(data = data_sc_9,
+                      row.dim = model,
+                      subrow.dim = 'time',
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = model.name,
+                      subrow.names = forecast.months,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = table.model.name,
+                      subrow.title = 'Forecast Month',
+                      col.title = 'Start date',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = legend.col.inf,
+                      colorsup = legend.col.sup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = 4,
+                      col2.width = col2.width,
+                      fileout = fileout)
+      
+      
+      #### Scorecard_type 10 ####
+      ## (reorder only) 
+      fileout <- .Filename(model = model, eval.name = eval.filename, var = var, 
+                           start.year = start.year, end.year = end.year, scorecard.type = 10, 
+                           region =  sub(" ", "-", region.names[reg]),
+                           fileout.label = fileout.label, output.path = output.path)
+      new_order <- c('system', 'reference', 'metric', 'region','sdate', 'time')
+      if(model == 'system'){
+        data_sc_10 <- Subset(Reorder(input_data, new_order), c('reference','region'), list(1, reg), drop = 'selected')
+      } else if(model == 'reference'){
+        data_sc_10 <- Subset(Reorder(input_data, new_order), c('system','region'), list(1, reg), drop = 'selected')
+      }
+      SCPlotScorecard(data = data_sc_10,
+                      row.dim = 'time',
+                      subrow.dim = model,
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = forecast.months,
+                      subrow.names = model.name,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = 'Forecast month',
+                      subrow.title = table.model.name,
+                      col.title = 'Start date',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = legend.col.inf,
+                      colorsup = legend.col.sup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = col1.width,
+                      col2.width = 4,
+                      fileout = fileout)
+      
+  
+      #### Scorecard_type 11 ####
+      ## (transformation only)
+      fileout <- .Filename(model = model, eval.name = eval.filename, var = var, 
+                           start.year = start.year, end.year = end.year, scorecard.type = 11, 
+                           region =  sub(" ", "-", region.names[reg]),
+                           fileout.label = fileout.label, output.path = output.path)
+      if(model == 'system'){
+        data_sc_11 <- Subset(transformed_data, c('reference','region'), list(1, reg), drop = 'selected')
+      } else if(model == 'reference'){
+        data_sc_11 <- Subset(transformed_data, c('system','region'), list(1, reg), drop = 'selected')
+      }
+      SCPlotScorecard(data = data_sc_11,
+                      row.dim = model,
+                      subrow.dim = 'time',
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = model.name,
+                      subrow.names = forecast.months,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = table.model.name,
+                      subrow.title = 'Forecast Month',
+                      col.title = 'Target month',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = legend.col.inf,
+                      colorsup = legend.col.sup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = 4,
+                      col2.width = col2.width,
+                      fileout = fileout)
+      
+      
+      #### Scorecard_type 12 ####
+      ## (transformation and reorder)
+      fileout <- .Filename(model = model, eval.name = eval.filename, var = var, 
+                           start.year = start.year, end.year = end.year, scorecard.type = 12, 
+                           region =  sub(" ", "-", region.names[reg]),
+                           fileout.label = fileout.label, output.path = output.path)
+      new_order <- c('system', 'reference', 'metric', 'region','sdate', 'time')
+      if(model == 'system'){
+        data_sc_12 <- Subset(Reorder(transformed_data, new_order), c('reference','region'), list(1, reg), drop = 'selected')
+      } else if(model == 'reference'){
+        data_sc_12 <- Subset(Reorder(transformed_data, new_order), c('system','region'), list(1, reg), drop = 'selected')
+      }
+      SCPlotScorecard(data = data_sc_12,
+                      row.dim = 'time',
+                      subrow.dim = model,
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = forecast.months,
+                      subrow.names = model.name,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = 'Forecast Month',
+                      subrow.title = table.model.name,
+                      col.title = 'Target month',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = legend.col.inf,
+                      colorsup = legend.col.sup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = col1.width,
+                      col2.width = 4,
+                      fileout = fileout)
+
+  } ## close loop on region  
+      
+  print("All multi scorecard plots created")
+  
+} ## close function      
+
diff --git a/modules/Scorecards/tmp/ScorecardsSingle.R b/modules/Scorecards/tmp/ScorecardsSingle.R
new file mode 100644
index 00000000..56f08204
--- /dev/null
+++ b/modules/Scorecards/tmp/ScorecardsSingle.R
@@ -0,0 +1,343 @@
+#'Function to create all single system/reference scorecards
+#' 
+#'@description Scorecards function to create scorecard tables for one system and 
+#'  one reference combination (types 1 to 4).
+#'@param input_data is an array of spatially aggregated metrics containing the
+#'   following dimensions; system, reference, metric, time, sdate, region.
+#'@param system a vector of character strings defining the systems following the
+#'   archive.yml format from verification suite 
+#'@param reference a vector of character strings defining the references 
+#'  following the archive.yml format from verification suite 
+#'@param var a character string following the format from 
+#'  variable-dictionary.yml from verification suite 
+#'@param start.year a numeric indicating the start year of the reference period
+#'@param end.year a numeric indicating the end year of the reference period
+#'@param start.date a vector of character strings indicating the start months
+#'@param forecast.month a vector of numeric indicating the forecast months
+#'@param region.names a vector of character strings containing names of the 
+#'  regions corresponding to the input data
+#'@param metrics a vector of character strings containing the metrics.
+#'@param table.label a character string containing additional information to 
+#'  include in the scorecard title
+#'@param fileout.label a character string containing additional information to 
+#'  include in the output png file when saving the scorecard.
+#'@param output.path a path of the location to save the scorecard plots
+#'
+#'@return
+#' This function returns 4 scorecards images, saved in the directory output.path
+#'@examples
+#' scorecard_single <- ScorecardsSingle(data = aggregated_metrics,
+#'                                     system.name = c('ECMWF-SEAS5','DWD-GFCS2.1'),
+#'                                     reference.name = 'ERA5',
+#'                                     var = 'tas', 
+#'                                     start.year = 1993,
+#'                                     end.year = 2016,
+#'                                     start.months = 1:12,
+#'                                     forecast.months = 1:6,
+#'                                     region.names = c('Tropics', 'Extra-tropical NH', 'Extra-tropical SH')
+#'                                     metrics = c('mean_bias', 'enscorr', 'rpss','crpss', 'enssprerr'),
+#'                                     table.label = '(Interpolation = to system, Aggregation level = skill, Cross-validation = terciles)',
+#'                                     fileout.label = '_crossval-terciles_agg-skill',
+#'                                     output.path = '/esarchive/scratch/nmilders/scorecards_images/test'
+#'                                     )
+#'@export
+ScorecardsSingle <- function(data, system, reference, var, start.year, end.year,
+                             start.months, forecast.months, region.names,
+                             metrics, legend.breaks = NULL,
+                             table.label = NULL, fileout.label =  NULL,
+                             legend.white.space = NULL, 
+                             col1.width = NULL, col2.width = NULL,
+                             output.path){
+  
+  ## Checks to apply:
+  # First dimension in aggregated_metrics is system and second dimension is reference
+  # To allow 1 region - if region = 1 --> only scorecards 1 & 3 need to be plotted
+  # If any dimension of input dat is 1, make sure dimension is still present in array
+  
+  ## Initial checks
+  # data
+  if (!is.array(data)) {
+    stop("Parameter 'data' must be an array with named dimensions.")
+  }
+  if (!is.array(data)) {
+    stop("Parameter 'data' must be an array with named dimensions.")
+  }
+  if (is.null(names(dim(data)))) {
+    stop("Parameter 'data' must have dimenision names.")
+  }
+  if (!all(c('system','reference','metric','time','sdate','region') %in% 
+           names(dim(data)))) {
+    stop("Dimension names of 'data' must be: 'system','reference','metric', 
+          'time','sdate','region'.")
+  }
+  if (is.null(table.label)){
+    table.label <- ""
+  }
+  if (is.null(fileout.label)){
+    fileout.label <- ""
+  }
+  
+  ## Make sure input_data is in correct order for using in functions:
+  data_order <- c('system', 'reference', 'metric', 'time', 'sdate', 'region')
+  data <- Reorder(data, data_order)
+  
+  ## Identify metrics loaded
+  metrics_loaded <-  attributes(data)$metrics
+  
+  ## Select only the metrics to visualize from data
+  input_data <- Subset(data, along = 'metric', indices = match(metrics, metrics_loaded))
+  attributes(input_data)$metrics <- metrics
+  
+  ## Transform data for scorecards by forecast month (types 3 & 4)
+  transformed_data <- SCTransform(data = input_data, 
+                                  sdate_dim = 'sdate', 
+                                  ftime_dim = 'time')
+  
+  ## Load configuration files
+  sys_dict <- read_yaml("/esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/conf/archive.yml")$esarchive
+  var_dict <- read_yaml("/esarchive/scratch/nmilders/gitlab/git_clones/csscorecards/inst/config/variable-dictionary.yml")$vars
+  
+  ## Get scorecards table display names from configuration files
+  var.name <- var_dict[[var]]$long_name
+  var.units <- var_dict[[var]]$units
+  
+  ## Get metric long names
+  metric.names.list <- .met_names(metrics, var.units)
+  
+  ## format the metric names as character instead of list
+  for(met in metrics){
+    if(met == metrics[1]){
+      metric.names <- metric.names.list[[met]] 
+    } else {
+      metric.names <- c(metric.names, metric.names.list[[met]])
+    }
+  }
+  
+  ## Define table colors 
+  palette <- c('#2D004B', '#542789', '#8073AC', '#B2ABD2', '#D8DAEB', '#FEE0B6', '#FDB863', '#E08214', '#B35806', '#7F3B08')
+  colorunder <- "#04040E"
+  colorsup <- "#730C04"
+  
+  ## Legend lower limit color
+  legend.col.inf <- .legend_col_inf(metrics, colorunder)
+  legend.col.inf <- legend.col.inf[metrics]
+
+  ## Legend upper limit color
+  legend.col.sup <- .legend_col_sup(metrics, colorsup)
+  legend.col.sup <- legend.col.sup[metrics]
+
+  ## Legend inputs
+  plot.legend = TRUE
+  label.scale = 1.4
+  legend.width = 555
+  legend.height = 50
+  
+  ## Data display inputs
+  round.decimal = 2
+  font.size = 1.1
+  
+  ## Loop over system and reference for each scorecard plot
+  for (sys in 1:dim(input_data)['system']) {
+    for (ref in 1:dim(input_data)['reference']) {
+      
+      ## TO DO: Apply check to each scorecard function
+      ## check dimension 'metric' exists:
+      if (!("metric" %in% names(dim(input_data)))) {
+        dim(input_data) <- c(metric = 1, dim(input_data))
+      }
+      
+      ## Find position of mean bias metric to calculate breaks
+      breaks_bias <- NULL
+      if ('mean_bias' %in% metrics){
+        stopifnot(identical(names(dim(Subset(input_data, c('system', 'reference'), list(sys, ref), drop = 'selected'))), c('metric','time','sdate','region')))
+        temp_data <- Subset(input_data, c('system', 'reference'), list(sys, ref), drop = 'selected')
+        pos_bias <- which(metrics == 'mean_bias')
+        if(var == 'psl'){
+          temp_data[pos_bias,,,] <- temp_data[pos_bias,,,]/100
+        }
+        breaks_bias <- .SCBiasBreaks(Subset(temp_data, along = 'metric',
+                                            indices = pos_bias))
+      }
+      
+      ## Define breaks for each metric based of metric position:
+      legend.breaks <- .met_breaks(metrics, breaks_bias)
+      
+      ## Put breaks in same order as metrics
+      legend.breaks <- legend.breaks[metrics]
+      
+      ## Get scorecards table display names from configuration files
+      system.name <- sys_dict$System[[system[sys]]]$name
+      reference.name <- sys_dict$Reference[[reference[ref]]]$name
+      
+      ## Define scorecard titles
+      table.title <- paste0(var.name, " of ", system.name, " ", table.label)
+      table.subtitle <- paste0("(Ref: ", reference.name, " ", start.year, "-", end.year, ")")
+      
+      #############################################################################     
+      
+      #### Scorecard_type 1 ####
+      ## (no transformation or reorder)
+      fileout <- .Filename(system = system[sys], reference = reference[ref], var = var,
+                           start.year = start.year, end.year = end.year, scorecard.type = 1,
+                           fileout.label = fileout.label, output.path = output.path)
+      data_sc_1 <- Subset(input_data, c('system', 'reference'), list(sys, ref), drop = 'selected')
+      SCPlotScorecard(data = data_sc_1,
+                      row.dim = 'region',
+                      subrow.dim = 'time',
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = region.names,
+                      subrow.names = forecast.months,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = 'Region',
+                      subrow.title = 'Forecast Month',
+                      col.title = 'Start date',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = legend.col.inf,
+                      colorsup = legend.col.sup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = col1.width,
+                      col2.width = col2.width,
+                      fileout = fileout)
+      
+      
+      #### Scorecard_type 2 ####
+      ## (reorder only)
+      ## Scorecard type 2 is same as type 1 for only one region, therefore is
+      ## only plotted if more that one region is requested
+      if(dim(input_data)['region'] > 1) {
+        fileout <- .Filename(system = system[sys], reference = reference[ref], var = var,
+                             start.year = start.year, end.year = end.year, scorecard.type = 2,
+                             fileout.label = fileout.label, output.path = output.path)
+        new_order <- c('metric', 'region', 'sdate', 'time')
+        data_sc_2 <- Reorder(Subset(input_data, c('system', 'reference'), list(sys, ref), drop = 'selected'), new_order)
+        SCPlotScorecard(data = data_sc_2,
+                        row.dim = 'time',
+                        subrow.dim = 'region',
+                        col.dim = 'metric',
+                        subcol.dim = 'sdate',
+                        legend.dim = 'metric',
+                        row.names = forecast.months,
+                        subrow.names = region.names,
+                        col.names = metric.names,
+                        subcol.names = month.abb[as.numeric(start.months)],
+                        table.title = table.title,
+                        table.subtitle = table.subtitle,
+                        row.title = 'Forecast Month',
+                        subrow.title = 'Region',
+                        col.title = 'Start date',
+                        legend.breaks = legend.breaks,
+                        plot.legend = plot.legend,
+                        label.scale = label.scale,
+                        legend.width = legend.width,
+                        legend.height = legend.height,
+                        palette = palette,
+                        colorunder = legend.col.inf,
+                        colorsup = legend.col.sup,
+                        round.decimal = round.decimal,
+                        font.size = font.size,
+                        legend.white.space = legend.white.space, 
+                        col1.width = col1.width,
+                        col2.width = col2.width,
+                        fileout = fileout)
+      } ## close if
+
+
+      #### Scorecard_type 3 ####
+      ## (transformation only)
+      fileout <- .Filename(system = system[sys], reference = reference[ref], var = var,
+                           start.year = start.year, end.year = end.year, scorecard.type = 3,
+                           fileout.label = fileout.label, output.path = output.path)
+      data_sc_3 <- Subset(transformed_data, c('system', 'reference'), list(sys, ref), drop = 'selected')
+      SCPlotScorecard(data = data_sc_3,
+                      row.dim = 'region',
+                      subrow.dim = 'time',
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = region.names,
+                      subrow.names = forecast.months,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = 'Region',
+                      subrow.title = 'Forecast Month',
+                      col.title = 'Target month',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = legend.col.inf,
+                      colorsup = legend.col.sup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = col1.width,
+                      col2.width = col2.width,
+                      fileout = fileout)
+
+
+      #### Scorecard_type 4 ####
+      ## (transformation and reorder)
+      ## Scorecard type 4 is same as type 3 for only one region, therefore is
+      ## only plotted if more that one region is requested
+      if(dim(input_data)['region'] > 1) {
+        fileout <- .Filename(system = system[sys], reference = reference[ref], var = var,
+                             start.year = start.year, end.year = end.year, scorecard.type = 4,
+                             fileout.label = fileout.label, output.path = output.path)
+        new_order <- c('metric', 'region', 'sdate', 'time')
+        data_sc_4 <- Reorder(Subset(transformed_data, c('system', 'reference'), list(sys, ref), drop = 'selected'), new_order)
+        SCPlotScorecard(data = data_sc_4,
+                        row.dim = 'time',
+                        subrow.dim = 'region',
+                        col.dim = 'metric',
+                        subcol.dim = 'sdate',
+                        legend.dim = 'metric',
+                        row.names = forecast.months,
+                        subrow.names = region.names,
+                        col.names = metric.names,
+                        subcol.names = month.abb[as.numeric(start.months)],
+                        table.title = table.title,
+                        table.subtitle = table.subtitle,
+                        row.title = 'Forecast Month',
+                        subrow.title = 'Region',
+                        col.title = 'Target month',
+                        legend.breaks = legend.breaks,
+                        plot.legend = plot.legend,
+                        label.scale = label.scale,
+                        legend.width = legend.width,
+                        legend.height = legend.height,
+                        palette = palette,
+                        colorunder = legend.col.inf,
+                        colorsup = legend.col.sup,
+                        round.decimal = round.decimal,
+                        font.size = font.size,
+                        legend.white.space = legend.white.space, 
+                        col1.width = col1.width,
+                        col2.width = col2.width,
+                        fileout = fileout)
+      } ## close if
+      
+    } ## close loop on ref
+  } ## close loop on sys
+  
+  print("All single system scorecard plots created")
+  
+} ## close function      
+
+
+
diff --git a/modules/Scorecards/tmp/ScorecardsSystemDiff.R b/modules/Scorecards/tmp/ScorecardsSystemDiff.R
new file mode 100644
index 00000000..a19b1651
--- /dev/null
+++ b/modules/Scorecards/tmp/ScorecardsSystemDiff.R
@@ -0,0 +1,350 @@
+#'Function to create all multi system/reference scorecards
+#' 
+#'@description Scorecards function to create scorecard tables for multiple systems
+#' and references (types 9 to 12).
+#'@param input_data is an array of spatially aggregated metrics containing the
+#'   following dimensions; system, reference, metric, time, sdate, region.
+#'@param system a vector of character strings defining the systems following the
+#'   archive.yml format from verification suite 
+#'@param reference a vector of character strings defining the references 
+#'  following the archive.yml format from verification suite 
+#'@param var a character string following the format from 
+#'  variable-dictionary.yml from verification suite 
+#'@param start.year a numeric indicating the start year of the reference period
+#'@param end.year a numeric indicating the end year of the reference period
+#'@param start.date a vector of character strings indicating the start months
+#'@param forecast.month a vector of numeric indicating the forecast months
+#'@param region.names a vector of character strings containing names of the 
+#'  regions corresponding to the input data
+#'@param metrics a vector of character strings containing the metrics.
+#'@param table.label a character string containing additional information to 
+#'  include in the scorecard title
+#'@param fileout.label a character string containing additional information to 
+#'  include in the output png file when saving the scorecard.
+#'@param output.path a path of the location to save the scorecard plots.
+#'
+#'@return
+#' This function returns 4 scorecard images for each region requested, the 
+#' images are saved in the directory output.path.
+
+#'@example
+#' scorecard_diff <- ScorecardsDiff(data = aggregated_metrics,
+#'                                    system.name = c('ECMWF-SEAS5','DWD-GFCS2.1'),
+#'                                    reference.name = 'ERA5',
+#'                                    var = 'tas', 
+#'                                    start.year = 1993,
+#'                                    end.year = 2016,
+#'                                    start.months = 1:12,
+#'                                    forecast.months = 1:6,
+#'                                    region.names = c('Tropics', 'Extra-tropical NH', 'Extra-tropical SH')
+#'                                    metrics = c('mean_bias', 'enscorr', 'rpss','crpss', 'enssprerr'),
+#'                                    table.label = '(Interpolation = to system, Aggregation level = skill, Cross-validation = terciles)',
+#'                                    fileout.label = '_crossval-terciles_agg-skill',
+#'                                    output.path = '/esarchive/scratch/nmilders/scorecards_images/testing'
+#'                                    )
+
+
+ScorecardsSystemDiff <- function(data,
+                                  system,
+                                  reference,
+                                  var,
+                                  start.year,
+                                  end.year,
+                                  start.months,
+                                  forecast.months,
+                                  region.names,
+                                  metrics,
+                                  table.label = NULL,
+                                  fileout.label =  NULL,
+                                  legend.white.space = NULL, 
+                                  col1.width = NULL,
+                                  col2.width = NULL,
+                                  output.path){
+
+  ## Checks to apply:
+  # first dimension in aggregated_metrics is system and second dimension is reference
+  # either multi-system and one reference, or multi-reference and one system
+  
+  ## Initial checks
+  if (is.null(table.label)){
+    table.label <- ""
+  }
+  if (is.null(fileout.label)){
+    fileout.label <- ""
+  }
+  
+  ## Make sure input_data is in correct order for using in functions:
+  data_order <- c('system','reference','metric','time','sdate','region')
+  data <- Reorder(data, data_order)
+  
+  ## Identify metrics loaded
+  metrics_loaded <-  attributes(data)$metrics
+  
+  ## Select only the metrics to visualize from data
+  input_data <- Subset(data, along = 'metric', indices = match(metrics, metrics_loaded))
+  attributes(input_data)$metrics <- metrics
+  
+  ## Calculate difference between two systems/references
+  if(length(system) == 2 && length(reference) == 1){
+    dataset1 <- Subset(input_data, c('system', 'reference'), list(1, 1), drop = 'selected')
+    dataset2 <- Subset(input_data, c('system', 'reference'), list(2, 1), drop = 'selected')
+  }
+  else if(length(system) == 1 && length(reference) == 2){
+    dataset1 <- Subset(input_data, c('system', 'reference'), list(1, 1), drop = 'selected')
+    dataset2 <- Subset(input_data, c('system', 'reference'), list(1, 2), drop = 'selected')
+  }
+  
+  ## Calculate difference of mean_bias from 0 for each dataset
+  if ('mean_bias' %in% metrics){
+    pos_bias <- which(metrics == 'mean_bias')
+    dataset1[pos_bias,,,] <- abs(dataset1[pos_bias,,,])
+    dataset2[pos_bias,,,] <- abs(dataset2[pos_bias,,,])
+  }
+  
+  ## Calculate difference of enssprerr from 1 for each dataset
+  if ('enssprerr' %in% metrics){
+    pos_enssprerr <- which(metrics == 'enssprerr')
+    dataset1[pos_enssprerr,,,] <- abs(1-dataset1[pos_enssprerr,,,])
+    dataset2[pos_enssprerr,,,] <- abs(1-dataset2[pos_enssprerr,,,])
+  }
+  
+  diff_data <- dataset1 - dataset2
+  
+  # Transform data for scorecards by forecast month (types 3 & 4)
+  transformed_data <- SCTransform(data = diff_data,
+                                  sdate_dim = 'sdate',
+                                  ftime_dim = 'time')
+  
+  ## Load configuration files
+  sys_dict <- read_yaml("/esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/conf/archive.yml")$esarchive
+  var_dict <- read_yaml("/esarchive/scratch/nmilders/gitlab/git_clones/csscorecards/inst/config/variable-dictionary.yml")$vars
+
+  ## Get scorecards table display names from configuration files
+  var.name <- var_dict[[var]]$long_name
+  var.units <- var_dict[[var]]$units
+
+  system.name <-  NULL
+  reference.name <- NULL
+  
+  for(sys in 1:length(system)){
+    system.name1 <- sys_dict$System[[system[sys]]]$name 
+    system.name <- c(system.name, system.name1)
+  }
+  for(ref in 1:length(reference)){
+    reference.name1 <- sys_dict$Reference[[reference[ref]]]$name
+    reference.name <- c(reference.name, reference.name1)
+  }
+  
+  ## Get metric long names
+  metric.names.list <- .met_names(metrics, var.units)
+  
+  ## format the metric names as character instead of list
+  for(met in metrics){
+    if(met == metrics[1]){
+      metric.names <- metric.names.list[[met]] 
+    } else {
+      metric.names <- c(metric.names, metric.names.list[[met]])
+    }
+  }
+  
+  ## Define parameters depending on system compariosn or reference comparison
+  if(length(system) > 1 && length(reference) == 1){
+    comparison <- system
+    model <- 'system'
+    table.model.name <- 'System'
+    model.name <- system.name
+    eval.label <- 'Ref'
+    eval.name <- reference.name
+    eval.filename <- reference
+  } else if(length(system) == 1 && length(reference) > 1){
+    comparison <- reference
+    model <- 'reference'
+    table.model.name <- 'Reference'
+    model.name <- reference.name
+    eval.label <- 'Sys'
+    eval.name <- system.name
+    eval.filename <- system
+  } else {stop('Not multi system or multi reference')}
+  
+  ## Define table colors 
+  palette <- c('#2D004B', '#542789', '#8073AC', '#B2ABD2', '#D8DAEB', '#FEE0B6', '#FDB863', '#E08214', '#B35806', '#7F3B08')
+  colorunder <- "#04040E"
+  colorsup <- "#730C04"
+
+  ## Legend inputs
+  plot.legend = TRUE
+  label.scale = 1.4
+  legend.width = 555
+  legend.height = 50
+  
+  ## Data display inputs
+  round.decimal = 2
+  font.size = 1.1
+    
+  ## Define breaks for each metric based of metric position:
+  legend.breaks <- c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)
+  
+  ## Define scorecard titles
+  table.title <- paste0(var.name, " - Difference: ", model.name[1], " - ", model.name[2], "  ",table.label)
+  table.subtitle <- paste0("(", eval.label, ": ", eval.name, " ", start.year, "-", end.year, ")")
+  
+    #### Scorecard_type 1 ####
+    ## (no transformation or reorder)
+  
+    fileout <- .Filename(system = paste0("diff_",comparison[1],"_",comparison[2]), reference = eval.filename, var = var,
+                         start.year = start.year, end.year = end.year, scorecard.type = 1,
+                         fileout.label = fileout.label, output.path = output.path)
+    SCPlotScorecard(data = diff_data,
+                    row.dim = 'region',
+                    subrow.dim = 'time',
+                    col.dim = 'metric',
+                    subcol.dim = 'sdate',
+                    legend.dim = 'metric',
+                    row.names = region.names,
+                    subrow.names = forecast.months,
+                    col.names = metric.names,
+                    subcol.names = month.abb[as.numeric(start.months)],
+                    table.title = table.title,
+                    table.subtitle = table.subtitle,
+                    row.title = 'Region',
+                    subrow.title = 'Forecast Month',
+                    col.title = 'Start date',
+                    legend.breaks = legend.breaks,
+                    plot.legend = plot.legend,
+                    label.scale = label.scale,
+                    legend.width = legend.width,
+                    legend.height = legend.height,
+                    palette = palette,
+                    colorunder = colorunder,
+                    colorsup = colorsup,
+                    round.decimal = round.decimal,
+                    font.size = font.size,
+                    legend.white.space = legend.white.space, 
+                    col1.width = col1.width,
+                    col2.width = col2.width,
+                    fileout = fileout)
+ 
+    
+    #### Scorecard_type 2 ####
+    ## (reorder only)
+    ## Scorecard type 2 is same as type 1 for only one region, therefore is
+    ## only plotted if more that one region is requested
+    if(dim(input_data)['region'] > 1) {
+      fileout <- .Filename(system = paste0("diff_",comparison[1],"_",comparison[2]), reference = eval.filename, var = var,
+                           start.year = start.year, end.year = end.year, scorecard.type = 2,
+                           fileout.label = fileout.label, output.path = output.path)
+      new_order <- c('metric', 'region', 'sdate', 'time')
+      data_sc_2 <- Reorder(diff_data, new_order)
+      SCPlotScorecard(data = data_sc_2,
+                      row.dim = 'time',
+                      subrow.dim = 'region',
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = forecast.months,
+                      subrow.names = region.names,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = 'Forecast Month',
+                      subrow.title = 'Region',
+                      col.title = 'Start date',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = colorunder,
+                      colorsup = colorsup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = col1.width,
+                      col2.width = col2.width,
+                      fileout = fileout)
+    } ## close if
+    
+    
+    #### Scorecard_type 3 ####
+    ## (transformation only)
+    fileout <- .Filename(system = paste0("diff_",comparison[1],"_",comparison[2]), reference = eval.filename, var = var,
+                         start.year = start.year, end.year = end.year, scorecard.type = 3,
+                         fileout.label = fileout.label, output.path = output.path)
+    SCPlotScorecard(data = transformed_data,
+                    row.dim = 'region',
+                    subrow.dim = 'time',
+                    col.dim = 'metric',
+                    subcol.dim = 'sdate',
+                    legend.dim = 'metric',
+                    row.names = region.names,
+                    subrow.names = forecast.months,
+                    col.names = metric.names,
+                    subcol.names = month.abb[as.numeric(start.months)],
+                    table.title = table.title,
+                    table.subtitle = table.subtitle,
+                    row.title = 'Region',
+                    subrow.title = 'Forecast Month',
+                    col.title = 'Target month',
+                    legend.breaks = legend.breaks,
+                    plot.legend = plot.legend,
+                    label.scale = label.scale,
+                    legend.width = legend.width,
+                    legend.height = legend.height,
+                    palette = palette,
+                    colorunder = colorunder,
+                    colorsup = colorsup,
+                    round.decimal = round.decimal,
+                    font.size = font.size,
+                    legend.white.space = legend.white.space, 
+                    col1.width = col1.width,
+                    col2.width = col2.width,
+                    fileout = fileout)
+    
+    
+    #### Scorecard_type 4 ####
+    ## (transformation and reorder)
+    ## Scorecard type 4 is same as type 3 for only one region, therefore is
+    ## only plotted if more that one region is requested
+    if(dim(input_data)['region'] > 1) {
+      fileout <- .Filename(system = paste0("diff_",comparison[1],"_",comparison[2]), reference = eval.filename, var = var,
+                           start.year = start.year, end.year = end.year, scorecard.type = 4,
+                           fileout.label = fileout.label, output.path = output.path)
+      new_order <- c('metric', 'region', 'sdate', 'time')
+      data_sc_4 <- Reorder(transformed_data, new_order)
+      SCPlotScorecard(data = data_sc_4,
+                      row.dim = 'time',
+                      subrow.dim = 'region',
+                      col.dim = 'metric',
+                      subcol.dim = 'sdate',
+                      legend.dim = 'metric',
+                      row.names = forecast.months,
+                      subrow.names = region.names,
+                      col.names = metric.names,
+                      subcol.names = month.abb[as.numeric(start.months)],
+                      table.title = table.title,
+                      table.subtitle = table.subtitle,
+                      row.title = 'Forecast Month',
+                      subrow.title = 'Region',
+                      col.title = 'Target month',
+                      legend.breaks = legend.breaks,
+                      plot.legend = plot.legend,
+                      label.scale = label.scale,
+                      legend.width = legend.width,
+                      legend.height = legend.height,
+                      palette = palette,
+                      colorunder = colorunder,
+                      colorsup = colorsup,
+                      round.decimal = round.decimal,
+                      font.size = font.size,
+                      legend.white.space = legend.white.space, 
+                      col1.width = col1.width,
+                      col2.width = col2.width,
+                      fileout = fileout)
+    } ## close if 
+    
+print("All system difference scorecard plots created")
+  
+} ## close function      
+
diff --git a/modules/Scorecards/tmp/Utils.R b/modules/Scorecards/tmp/Utils.R
new file mode 100644
index 00000000..6ba49e8c
--- /dev/null
+++ b/modules/Scorecards/tmp/Utils.R
@@ -0,0 +1,361 @@
+############### FUNCTIONS FOR SCORECARDS ################
+
+
+## Define metric names
+
+.met_names <- function(metrics, var.units) { # metrics is a object with the names of the metrics to be displayed
+  result <- list()
+  if ('mean_bias' %in% metrics) {
+    result <- append(result, list('mean_bias' = paste0('Mean bias (', var.units,')')))
+  }
+  if ('enscorr' %in% metrics) {
+    result <- append(result, list('enscorr' = 'Correlation'))
+  }
+  if ('rps' %in% metrics ) {
+    result <- append(result, list('rps' = 'RPS'))
+  } 
+  if ('frps' %in% metrics ) {
+    result <- append(result, list('frps' = 'Fair RPS'))
+  } 
+  if ('rpss' %in% metrics) {
+    result <- append(result, list('rpss' = 'RPSS'))
+  } 
+  if ('rpss_score_aggr' %in% metrics) {
+    result <- append(result, list('rpss_score_aggr' = 'RPSS'))
+  } 
+  if ('frpss' %in% metrics) {
+    result <- append(result, list('frpss' = 'Fair RPSS'))
+  }
+  if ('crps' %in% metrics) {
+    result <- append(result, list('crps' = 'CRPS'))
+  } 
+  if ('crpss' %in% metrics) {
+    result <- append(result, list('crpss' = 'CRPSS'))
+  }
+  if ('crpss_score_aggr' %in% metrics) {
+    result <- append(result, list('crpss_score_aggr' = 'CRPSS'))
+  } 
+  if ('bss10' %in% metrics) {
+    result <- append(result, list('bss10' = 'Brier skill score 10%'))
+  }
+  if ('bss90' %in% metrics) {
+    result <- append(result, list('bss90' = 'Brier skill score 90%'))
+  }
+  if ('enssprerr' %in% metrics ) {
+    result <- append(result, list('enssprerr' = 'Spread-to-error ratio'))
+  } 
+  if ('rmsss' %in% metrics ) {
+    result <- append(result, list('rmsss' = 'RMSSS'))
+  } 
+  return(result)
+}  
+
+
+
+## Define metrics breaks for each input metric
+
+.met_breaks <- function(metrics, breaks_bias) { # metrics is a object with the names of the metrics to be displayed
+  result <- list()
+  if ('mean_bias' %in% metrics) {
+    result <- append(result, list('mean_bias' = breaks_bias))
+  }
+  if ('enscorr' %in% metrics) {
+    result <- append(result, list('enscorr' = c(-1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1)))
+  }
+  if ('rps' %in% metrics ) {
+    result <- append(result, list('rps' = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.8, 1)))
+  } 
+  if ('frps' %in% metrics ) {
+    result <- append(result, list('frps' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  } 
+  if ('rpss' %in% metrics) {
+    result <- append(result, list('rpss' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  } 
+  if ('rpss_score_aggr' %in% metrics) {
+    result <- append(result, list('rpss_score_aggr' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  } 
+  if ('frpss' %in% metrics) {
+    result <- append(result, list('frpss' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  }
+  if ('crps' %in% metrics) {
+    result <- append(result, list('crps' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  } 
+  if ('crpss' %in% metrics) {
+    result <- append(result, list('crpss' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  }
+  if ('crpss_score_aggr' %in% metrics) {
+    result <- append(result, list('crpss_score_aggr' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  } 
+  if ('bss10' %in% metrics) {
+    result <- append(result, list('bss10' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  }
+  if ('bss90' %in% metrics) {
+    result <- append(result, list('bss90' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  }
+  if ('enssprerr' %in% metrics ) {
+    result <- append(result, list('enssprerr' = c(0, 0.6, 0.7, 0.8, 0.9, 1, 1.2, 1.4, 1.6, 1.8, 2)))
+  } 
+  if ('rmsss' %in% metrics ) {
+    result <- append(result, list('rmsss' = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5)))
+  } 
+  return(result)
+}  
+
+## Define legend lower limit color
+
+.legend_col_inf <- function(metrics, colorunder) { 
+  result <- list()
+  if ('mean_bias' %in% metrics) {
+    result <- append(result, list('mean_bias' = colorunder))
+  }
+  if ('enscorr' %in% metrics) {
+    result <- append(result, list('enscorr' = NULL))
+  }
+  if ('rps' %in% metrics ) {
+    result <- append(result, list('rps' = NULL))
+  } 
+  if ('frps' %in% metrics ) {
+    result <- append(result, list('frps' = NULL))
+  } 
+  if ('rpss' %in% metrics) {
+    result <- append(result, list('rpss' = colorunder))
+  } 
+  if ('rpss_score_aggr' %in% metrics) {
+    result <- append(result, list('rpss_score_aggr' = colorunder))
+  } 
+  if ('frpss' %in% metrics) {
+    result <- append(result, list('frpss' = colorunder))
+  }
+  if ('crps' %in% metrics) {
+    result <- append(result, list('crps' = NULL))
+  } 
+  if ('crpss' %in% metrics) {
+    result <- append(result, list('crpss' = colorunder))
+  }
+  if ('crpss_score_aggr' %in% metrics) {
+    result <- append(result, list('crpss_score_aggr' = colorunder))
+  } 
+  if ('bss10' %in% metrics) {
+    result <- append(result, list('bss10' = colorunder))
+  }
+  if ('bss90' %in% metrics) {
+    result <- append(result, list('bss90' = colorunder))
+  }
+  if ('enssprerr' %in% metrics ) {
+    result <- append(result, list('enssprerr' = NULL))
+  } 
+  if ('rmsss' %in% metrics ) {
+    result <- append(result, list('rmsss' = colorunder))
+  } 
+  return(result)
+}  
+
+
+## Define legend upper limit color
+
+.legend_col_sup <- function(metrics, colorsup) { 
+  result <- list()
+  if ('mean_bias' %in% metrics) {
+    result <- append(result, list('mean_bias' = colorsup))
+  }
+  if ('enscorr' %in% metrics) {
+    result <- append(result, list('enscorr' = NULL))
+  }
+  if ('rps' %in% metrics ) {
+    result <- append(result, list('rps' = NULL))
+  } 
+  if ('frps' %in% metrics ) {
+    result <- append(result, list('frps' = NULL))
+  } 
+  if ('rpss' %in% metrics) {
+    result <- append(result, list('rpss' = colorsup))
+  } 
+  if ('rpss_score_aggr' %in% metrics) {
+    result <- append(result, list('rpss_score_aggr' = colorsup))
+  } 
+  if ('frpss' %in% metrics) {
+    result <- append(result, list('frpss' = colorsup))
+  }
+  if ('crps' %in% metrics) {
+    result <- append(result, list('crps' = colorsup))
+  } 
+  if ('crpss' %in% metrics) {
+    result <- append(result, list('crpss' = colorsup))
+  }
+  if ('crpss_score_aggr' %in% metrics) {
+    result <- append(result, list('crpss_score_aggr' = colorsup))
+  } 
+  if ('bss10' %in% metrics) {
+    result <- append(result, list('bss10' = colorsup))
+  }
+  if ('bss90' %in% metrics) {
+    result <- append(result, list('bss90' = colorsup))
+  }
+  if ('enssprerr' %in% metrics ) {
+    result <- append(result, list('enssprerr' = colorsup))
+  } 
+  if ('rmsss' %in% metrics ) {
+    result <- append(result, list('rmsss' = colorsup))
+  } 
+  return(result)
+}  
+
+
+
+
+## Output file name to save scorecard
+.Filename <- function(system = NULL, reference = NULL, model = NULL, eval.name = NULL, 
+                      var = NULL, start.year = NULL, end.year = NULL, scorecard.type = NULL, 
+                      region = NULL, fileout.label = NULL, output.path = NULL) {
+  
+  ## Remove . from names
+  system <- gsub('.','', system, fixed = T)
+  reference <- gsub('.','', reference, fixed = T)
+  
+  period <- paste0(start.year, "-", end.year)
+
+  if (scorecard.type == 1 || scorecard.type == 2 || scorecard.type == 3 || scorecard.type == 4 ) {
+    scorecard_save_path <- paste0(output.path, 
+                                  "/scorecard-", scorecard.type, "_", system, "_", 
+                                  reference, "_", var, "_", period,
+                                  fileout.label, ".png")
+  } else {
+    scorecard_save_path <- paste0(output.path, 
+                                  "/scorecard-", scorecard.type, "_multi-", 
+                                  tolower(model), "_", eval.name, "_",
+                                  var, "_", period, "_", region,
+                                  fileout.label, ".png")
+  }
+  
+  return(scorecard_save_path)
+}
+
+# Scorecards function to assign background color of table cells, 
+# color of text in table and to bold the text.
+#
+# It will return a list  with 2 arrays: 
+# (1) metric.color, A 2-dimensional array with character strings containing the 
+# color codes for each cell background.
+# (2) metric.text.color, A 2-dimensional array with character strings 
+# containing the color codes for each cell text.
+.SCTableColors <- function(table, n.col, n.subcol, n.row, n.subrow, 
+                           legend.breaks, palette, colorunder, colorsup) {
+  # Define rows and columns
+  n.rows <- n.row * n.subrow
+  n.columns <- n.col * n.subcol
+
+  ## Set table background colors
+  metric.color <- array(colorunder, c(n.row * n.subrow, n.columns)) 
+  metric.text.color <- array("#2A2A2A", c(n.row * n.subrow , n.columns)) 
+  # metric.text.bold <- array(TRUE, c(n.row * n.subrow , n.columns - 2)) ## Setting all values to bold
+  
+  ## Define cell and text colors to show in table
+  for (i in 1:n.col) {
+    metric.int <- legend.breaks[[i]]
+    for (rr in 1:n.rows) {
+      for (j in 1:n.subcol) {
+        for (pp in 1:(length(metric.int) - 1)) {
+          if (is.nan(table[rr,((i - 1) * n.subcol + j)])) {
+            metric.color[rr,((i - 1) * n.subcol + j)] <- "gray"
+          } else {
+            if (table[rr,((i - 1) * n.subcol + j)] >= 
+                metric.int[pp] && table[rr,((i - 1) * n.subcol + j)] <= 
+                metric.int[pp+1]) {
+              metric.color[rr,((i - 1) * n.subcol + j)] <- palette[[i]][pp] #palette[pp]
+            } 
+            if (table[rr,((i - 1) * n.subcol + j)] < metric.int[1]) {
+              metric.color[rr,((i - 1) * n.subcol + j)] <- colorunder[i]
+            }
+            if (table[rr,((i - 1) * n.subcol + j)] >= 
+                metric.int[length(metric.int)]) {
+              metric.color[rr,((i - 1) * n.subcol + j)] <- colorsup[i]
+            } 
+          }
+          ## color text in white and bold if background is white or dark blue or dark red:
+          if (is.nan(table[rr,((i - 1) * n.subcol + j)]) ||
+              (!is.nan(table[rr,((i - 1) * n.subcol + j)]) && pp == 1 && 
+                       table[rr,((i - 1) * n.subcol + j)] < metric.int[2]) ||
+              (!is.nan(table[rr,((i - 1) * n.subcol + j)]) && pp == 2 && 
+                       table[rr,((i - 1) * n.subcol + j)] < metric.int[3]) ||
+              (!is.nan(table[rr,((i - 1) * n.subcol + j)]) && pp == (length(metric.int) - 1) && 
+                       table[rr,((i - 1) * n.subcol + j)] >= metric.int[length(metric.int) - 1]) ||
+              (!is.nan(table[rr,((i - 1) * n.subcol + j)]) && pp == (length(metric.int) - 2) && 
+                       table[rr,((i - 1) * n.subcol + j)] >= metric.int[length(metric.int) - 2])) {
+            metric.text.color[rr,((i - 1) * n.subcol + j)] <- "white"
+            #metric.text.bold[rr,((i - 1) * n.subcol + j)] <- TRUE
+          }
+        }
+      }
+    }
+  }
+  
+  return(list(metric.color = metric.color, 
+              metric.text.color = metric.text.color))
+  
+}
+
+# Scorecards function to create the color bar legends for the required metrics
+# and paste them below the scorecard table
+.SCLegend <- function(legend.breaks, palette, colorunder, colorsup,
+                      label.scale, legend.width, legend.height,
+                      legend.white.space, fileout) {
+  
+  ## Create color bar legends for each metric
+  for (i in 1:length(palette)) {
+    png(filename = paste0(fileout, '_tmpLegend', i, '.png'), width = legend.width, 
+        height = legend.height) 
+    ColorBar(brks = legend.breaks[[i]], cols = palette[[i]], vertical = FALSE, 
+             label_scale = label.scale, col_inf = colorunder[[i]], 
+             col_sup = colorsup[[i]]) 
+    dev.off()
+    if (i == 1) {
+      ## Add white space to the left of the first color bar legend
+      system(paste0('convert ', fileout, '_tmpLegend1.png -background white -splice ', 
+                    legend.white.space, 'x0 ', fileout, '_tmpScorecardLegend.png'))
+    } else {
+      system(paste0('convert +append ', fileout, '_tmpScorecardLegend.png ',
+                    fileout, '_tmpLegend', i, '.png ', fileout, 
+                    '_tmpScorecardLegend.png'))
+    }
+  }
+  unlink(paste0(fileout,'_tmpLegend*.png'))
+}
+
+# Function to calculate color bar breaks for bias metric
+.SCBiasBreaks <- function(data){
+  
+  bias.minmax_max <- quantile(data, 0.98, na.rm = TRUE)
+  bias.minmax_min <- quantile(data, 0.02, na.rm = TRUE)
+  bias.max <- max(abs(bias.minmax_min), abs(bias.minmax_max))
+  
+  ## one point more than the colors below (the intervals)
+  bias.int <- bias.max * c(-1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1) 
+  
+  ## round to 2 significance figures
+  bias.int <- signif(bias.int, digits = 2)
+  
+  return(bias.int)
+}
+
+# Function to calculate color bar breaks for CRPS metric
+.SCCrpsBreaks <- function(data){
+  
+  crps.max <- quantile(data, 0.98, na.rm = TRUE)
+  
+  crps.int <- crps.max * c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1) 
+  
+  ## round to 2 significance figures
+  crps.int <- signif(crps.int, digits = 2)
+  
+  return(crps.int)
+}
+
+# Auxiliary function to get the names of the longitude coordinate
+.KnownLonNames <- function() {
+  known_lon_names <- c('lon', 'lons', 'longitude', 'x', 'i', 'nav_lon')
+}
+
+# Auxiliary function to get the names of the latitude coordinate
+.KnownLatNames <- function() {
+  known_lat_names <- c('lat', 'lats', 'latitude', 'y', 'j', 'nav_lat')
+}
diff --git a/modules/Scorecards/tmp/WeightedMetrics.R b/modules/Scorecards/tmp/WeightedMetrics.R
new file mode 100644
index 00000000..aea23c56
--- /dev/null
+++ b/modules/Scorecards/tmp/WeightedMetrics.R
@@ -0,0 +1,134 @@
+#' Scorecards spatial aggregation of loaded metrics
+#' 
+#'@description Scorecards function to perform the spatial aggregation of the 
+#'  loaded metrics for the specified regions.
+#'
+#'@param loaded_metrics is a list of arrays containing the metrics loaded by the
+#'  function SC_load_metrics.
+#'@param region is a named list of vectors containing the desired regions to 
+#'  analyze. For each region the following should be specified in this order:
+#'  lon_min, lon_max, lat_min, lat_max.
+#'@param metric.aggregation a character indicating whether the skill score RPS 
+#' and CRPSS are calculated from aggregated scores or aggregated skill score 
+#' directly, either 'score' or 'skill' respectively
+#'@param ncores is the number of cores to use for the calculation.
+#'
+#'@return An array with the following dimensions: system, reference, metrics, 
+#' time, sdate, region.
+#' 
+#'@examples
+#'regions <- list('global' = c(lon.min = 0, lon.max = 360, lat.min = -90, lat.max = 90),
+#'                'europe' = c(lon.min = -10, lon.max = 40, lat.min = 30, lat.max = 70))
+#'aggregated_metrics <- WeightedMetrics(loaded_metrics,
+#'                                             regions = regions,
+#'                                             metric.aggregation = 'skill',
+#'                                             ncores = 4)
+#'@import multiApply
+#'@importFrom ClimProjDiags WeightedMean
+#'@importFrom s2dv Reorder
+#'@export
+WeightedMetrics <- function(loaded_metrics, regions, metric.aggregation,
+                            ncores = NULL, na.rm = TRUE) {
+  ## Initial checks
+  # loaded_metrics
+  if (any(sapply(loaded_metrics, function(x) {
+    sapply(x, function(y) {is.null(dim(y))})
+  }))) {
+    stop(paste0("Parameter 'loaded_metrics' must be a list of lists of arrays ", 
+                "with named dimensions."))
+  }
+  # regions
+  if (!all(sapply(regions, is.numeric))) {
+    stop(paste0("Parameter 'regions' must be a named list of vectors ", 
+                "containing the desired regions to analyze."))
+  }
+  # metric.aggregation
+  if (!is.character(metric.aggregation)) {
+    stop("Parameter 'metric.aggregation' must be a character indicating.")
+  }
+  # ncores
+  if (!is.numeric(ncores)) {
+    stop("Parameter 'ncores' must be an integer.")
+  }
+  
+  ## Get metric names
+  ## TO DO: check all metric are in the same order for all sys
+  metrics <- attributes(loaded_metrics[[1]][[1]])$metrics 
+  forecast.months <- attributes(loaded_metrics[[1]][[1]])$forecast.months 
+  start.months <- attributes(loaded_metrics[[1]][[1]])$start.months 
+  
+  all_metric_means <- array(dim = c(metric = length(metrics), 
+                                    time = length(forecast.months), 
+                                    sdate = length(start.months), 
+                                    region = length(regions), 
+                                    reference = length(loaded_metrics[[1]]),
+                                    system = length(loaded_metrics)))
+  
+  ## Loop over system
+  for (sys in 1:length(loaded_metrics)) {
+    ## Loop over reference
+    for (ref in 1:length(loaded_metrics[[sys]])) {
+      dimnames <- names(dim(loaded_metrics[[sys]][[ref]]))
+      lon_dim_name <- dimnames[which(dimnames %in% .KnownLonNames())]
+      lat_dim_name <- dimnames[which(dimnames %in% .KnownLatNames())]
+      ## Get latitude and longitude from attributes of loaded metrics
+      ## Loop over region
+      for (reg in 1:length(regions)) {
+        ## Calculate weighted means for defined regions for each system and reference
+        weighted.mean <- WeightedMean(data = loaded_metrics[[sys]][[ref]], 
+                                      lon = as.vector(attributes(loaded_metrics[[sys]][[ref]])$lon), 
+                                      lat = as.vector(attributes(loaded_metrics[[sys]][[ref]])$lat),
+                                      region = regions[[reg]], 
+                                      londim = lon_dim_name, 
+                                      latdim = lat_dim_name,
+                                      na.rm = na.rm, 
+                                      ncores = ncores)
+        all_metric_means[, , , reg, ref, sys] <- weighted.mean
+      } ## close loop on region
+    } ## close loop on reference
+  } ## close loop on system
+  
+  ## skill aggregation:
+  if (metric.aggregation == 'score') { 
+    if (all(c("rps", "rps_clim") %in% metrics)) {
+      ## Calculate RPSS from aggregated RPS and RPS_clim
+      all_metric_means <- multiApply::Apply(data = all_metric_means, 
+                                            target_dims = 'metric', 
+                                            fun = function(x, met) {
+                                              res <- 1 - x[which(met == 'rps')] / x[which(met == 'rps_clim')]
+                                              c(x, res)}, met = metrics, 
+                                            output_dims = 'metric', 
+                                            ncores = ncores)$output1
+      ## Define name of newly calculated RPSS metric
+      metrics <- c(metrics, "rpss_score_aggr")
+    }
+    if (all(c("crps", "crps_clim") %in% metrics)) {
+      ## Calculate CRPSS from aggragated CRPS and CRPS_clim
+      all_metric_means <- multiApply::Apply(data = all_metric_means, 
+                                            target_dims = 'metric', 
+                                            fun = function(x, met) {
+                                              res <- 1 - x[which(met == 'crps')] / x[which(met == 'crps_clim')]
+                                              c(x, res)}, 
+                                            met = metrics, 
+                                            output_dims = 'metric', 
+                                            ncores = ncores)$output1
+      ## Define name of newly calculated CRPSS metric
+      metrics <- c(metrics, "crpss_score_aggr")
+    }
+    ## Add warning in case metric.aggregation == 'score' but 1 of the metrics from each pair is missing
+  }
+  ## reorder dimensions in array
+  all_metric_means <- s2dv::Reorder(all_metric_means, c('system','reference','metric','time','sdate','region'))
+  
+  ## Add attributes
+  attributes(all_metric_means)$metrics <- metrics
+  attributes(all_metric_means)$start.months <- attributes(loaded_metrics[[1]][[1]])$start.months
+  attributes(all_metric_means)$forecast.months <- attributes(loaded_metrics[[1]][[1]])$forecast.months
+  attributes(all_metric_means)$regions <- regions
+  attributes(all_metric_means)$system.name <- names(loaded_metrics)
+  attributes(all_metric_means)$reference.name <- names(loaded_metrics[[1]])
+  
+  return(all_metric_means)
+  
+} ## close function
+
diff --git a/recipes/atomic_recipes/recipe_scorecards_atomic.yml b/recipes/atomic_recipes/recipe_scorecards_atomic.yml
new file mode 100644
index 00000000..fc88af22
--- /dev/null
+++ b/recipes/atomic_recipes/recipe_scorecards_atomic.yml
@@ -0,0 +1,69 @@
+Description:
+  Author: nmilders
+  Info: scorecards data
+
+Analysis:
+  Horizon: seasonal # Mandatory, str: either subseasonal, seasonal, or decadal
+  Variables:
+    name: tas # Mandatory, str: tas prlr psl sfcWind
+    freq: monthly_mean # Mandatory, str: either monthly_mean or daily_mean
+  Datasets:
+    System:
+      name: ECMWF-SEAS5 # Mandatory ECMWF-SEAS5, CMCC-SPS3.5, DWD-GCFS2.1
+    Multimodel: no # Mandatory, bool: Either yes/true or no/false
+    Reference:
+      name: ERA5 # Mandatory, str: Reference codename. See docu.
+  Time:
+    sdate: '0101' ## MMDD
+    fcst_year:  # Optional, int: Forecast year 'YYYY'
+    hcst_start: '1993' # Mandatory, int: Hindcast start year 'YYYY'
+    hcst_end: '2016' # Mandatory, int: Hindcast end year 'YYYY'
+    ftime_min: 1 # Mandatory, int: First leadtime time step in months 
+    ftime_max: 6 # Mandatory, int: Last leadtime time step in months
+  Region:
+    latmin: -90 # Mandatory, int: minimum latitude
+    latmax: 90 # Mandatory, int: maximum latitude
+    lonmin: 0 # Mandatory, int: minimum longitude
+    lonmax: 359.9 # Mandatory, int: maximum longitude
+  Regrid:
+    method: bilinear # conservative for prlr, bilinear for tas, psl, sfcWind
+    type: to_system 
+  Workflow:
+    Calibration:
+      method: raw # Mandatory, str: Calibration method. See docu.
+      save: 'none'
+    Anomalies:
+      compute: yes
+      cross_validation: yes 
+      save: 'none'
+    Skill:
+      metric: mean_bias EnsCorr rps rpss crps crpss EnsSprErr # str: Skill metric or list of skill metrics. See docu.
+      cross_validation: yes
+      save: 'all'
+    Probabilities:
+      percentiles: [[1/3, 2/3]] # frac: Quantile thresholds.
+      save: 'none'
+    Indicators:
+      index: no
+    Scorecards:
+      regions:
+        Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
+        Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
+        Extra-tropical SH : {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: -90}
+      start_months: NULL
+      metric: mean_bias enscorr rpss crpss enssprerr
+      metric_aggregation: 'score'
+      table_label: NULL
+      fileout_label: NULL
+      col1_width: NULL
+      col2_width: NULL
+      calculate_diff: FALSE
+      #output_path: /esarchive/scratch/nmilders/scorecards_images/testing
+  ncores: 7 # Optional, int: number of cores, defaults to 1
+  remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
+  Output_format: Scorecards #S2S4E
+Run:
+  Loglevel: INFO
+  Terminal: yes
+  output_dir: /esarchive/scratch/nmilders/scorecards_data/to_system/cross_validation/both_cross_val/
+  code_dir: /esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/
diff --git a/recipes/recipe_scoreacards.yml b/recipes/recipe_scoreacards.yml
new file mode 100644
index 00000000..a50fd572
--- /dev/null
+++ b/recipes/recipe_scoreacards.yml
@@ -0,0 +1,105 @@
+################################################################################ 
+## RECIPE DESCRIPTION  
+################################################################################ 
+
+Description:
+  Author: V. Agudetse
+  Info: Test for recipe splitting
+
+################################################################################
+## ANALYSIS CONFIGURATION
+################################################################################
+
+Analysis:
+  Horizon: Seasonal
+  Variables: # ECVs and Indicators?
+    - {name: tas, freq: monthly_mean}
+  Datasets:
+    System: # multiple systems for single model, split if Multimodel = F
+      - {name: ECMWF-SEAS5}
+    Multimodel: False # single option
+    Reference:
+      - {name: ERA5} # multiple references for single model?
+  Time:
+    sdate: # list, split
+      - '0101'
+      - '0201'
+      - '0301'
+      - '0401'
+      - '0501'
+      - '0601'
+      - '0701'
+      - '0801'
+      - '0901'
+      - '1001'
+      - '1101'
+      - '1201'
+    #fcst_year: '2020' # list, don't split, handled internally
+    hcst_start: '1993' # single option
+    hcst_end: '2016' # single option
+    ftime_min: 1 # single option
+    ftime_max: 6 # single option
+  Region: # multiple lists, split? Add region name if length(Region) > 1
+    - {name: "global", latmin: -90, latmax: 90, lonmin: 0, lonmax: 359.9}
+  Regrid:
+    method: bilinear ## TODO: allow multiple methods?
+    type: to_system
+  Workflow:
+    Anomalies:
+      compute: yes
+      cross_validation: yes 
+      save: 'none'
+    Calibration:
+      method: raw ## TODO: list, split?
+      save: 'none'
+    Skill:
+      metric: mean_bias EnsCorr rps rpss crps crpss EnsSprErr  # list, don't split
+      cross_validation: yes 
+      save: 'all'
+    Probabilities:
+      percentiles:  [[1/3, 2/3]]  # list, don't split
+      save: 'none'
+    Visualization:
+      plots: skill_metrics
+    Indicators:
+      index: no # ? 
+    # Scorecards:
+    #   regions:
+    #     Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
+    #     Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
+    #     Extra-tropical SH : {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: -90}
+    #   start_months: NULL
+    #   metric: mean_bias enscorr rpss crpss enssprerr
+    #   metric_aggregation: 'score'
+    #   table_label: NULL
+    #   fileout_label: NULL
+    #   col1_width: NULL
+    #   col2_width: NULL
+    #   calculate_diff: FALSE
+    #   #output_path: /esarchive/scratch/nmilders/scorecards_images/testing
+  ncores: 7
+  remove_NAs: no # bool, don't split
+  Output_format: Scorecards # string, don't split
+
+################################################################################
+## Run CONFIGURATION
+################################################################################
+Run:
+  Loglevel: INFO
+  Terminal: yes
+  output_dir: /esarchive/scratch/nmilders/scorecards_data/test/
+  code_dir: /esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/
+  autosubmit: yes
+  # fill only if using autosubmit
+  auto_conf:
+    script: /esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/execute_scorecards_data_loading.R # replace with the path to your script
+    expid: a6a3 # replace with your EXPID
+    hpc_user: bsc32878 # replace with your hpc username
+    wallclock: 03:00 # hh:mm
+    processors_per_job: 8 
+    platform: nord3v2 
+    email_notifications: yes # enable/disable email notifications. Change it if you want to.
+    email_address: nadia.milders@bsc.es # replace with your email address
+    notify_completed: yes # notify me by email when a job finishes
+    notify_failed: yes # notify me by email when a job fails
+
-- 
GitLab


From de0ae0a1dc6d5e6877d6ad8c8b71ea5cd92aab9a Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 25 Jul 2023 16:12:37 +0200
Subject: [PATCH 31/84] Set recipe name in autosubmit conf and set output
 directory in Scorecards script

---
 autosubmit/auto-scorecards.sh   | 2 +-
 modules/Scorecards/Scorecards.R | 4 ++++
 tools/prepare_outputs.R         | 1 -
 tools/write_autosubmit_conf.R   | 1 +
 4 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/autosubmit/auto-scorecards.sh b/autosubmit/auto-scorecards.sh
index 1456a9b0..a1033a46 100644
--- a/autosubmit/auto-scorecards.sh
+++ b/autosubmit/auto-scorecards.sh
@@ -12,4 +12,4 @@ recipe=${outdir}/logs/recipes/${recipe}
 
 source MODULES
 
-Rscript modules/Scorecards/Scorecards.R ${recipe}
+Rscript modules/Scorecards/Scorecards.R ${recipe} ${outdir}
diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
index e677d403..0a46f75f 100644
--- a/modules/Scorecards/Scorecards.R
+++ b/modules/Scorecards/Scorecards.R
@@ -3,7 +3,11 @@ source('modules/Scorecards/R/plot_scorecards.R')
 
 args = commandArgs(trailingOnly = TRUE)
 recipe_file <- args[1]
+output_dir <- args[2]
+
+# Read recipe and set outdir
 recipe <- read_yaml(recipe_file)
+recipe$Run$output_dir <- output_dir
 recipe$Analysis$Datasets$System <- recipe$Analysis$Datasets$System[[1]]
 recipe$Analysis$Datasets$Reference <- recipe$Analysis$Datasets$Reference[[1]]
 recipe$Analysis$Variables <- recipe$Analysis$Variables[[1]]
diff --git a/tools/prepare_outputs.R b/tools/prepare_outputs.R
index f54325ec..a3cc9b56 100644
--- a/tools/prepare_outputs.R
+++ b/tools/prepare_outputs.R
@@ -31,7 +31,6 @@ prepare_outputs <- function(recipe_file,
   recipe$recipe_path <- recipe_file
   recipe$name <- tools::file_path_sans_ext(basename(recipe_file))
 
-  
   output_dir = recipe$Run$output_dir
   # Create output folders
   if (!uniqueID) {
diff --git a/tools/write_autosubmit_conf.R b/tools/write_autosubmit_conf.R
index a425566d..f0e1088a 100644
--- a/tools/write_autosubmit_conf.R
+++ b/tools/write_autosubmit_conf.R
@@ -71,6 +71,7 @@ write_autosubmit_conf <- function(recipe, nchunks) {
       ## modules? Info that goes on script, e.g. output directory
       conf$common$OUTDIR <- recipe$Run$output_dir
       conf$common$SCRIPT <- recipe$Run$auto_conf$script
+      conf$common$RECIPE <- paste0(recipe$name, ".yml")
     }
     # Write config file inside autosubmit dir
     ## TODO: Change write.type depending on autosubmit version
-- 
GitLab


From ec74ec58b1b3f22120c0700389ff918a4a652074 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Pierre-Antoine=20Bretonni=C3=A8re?=
 <pierre-antoine.bretonniere@bsc.es>
Date: Tue, 25 Jul 2023 21:28:50 +0200
Subject: [PATCH 32/84] environment no autosubmit

---
 .../environment-cerise-localgribr.yml         | 642 ++++++++----------
 1 file changed, 295 insertions(+), 347 deletions(-)

diff --git a/conda_installation/environment-cerise-localgribr.yml b/conda_installation/environment-cerise-localgribr.yml
index 20808ef8..08c74f3d 100644
--- a/conda_installation/environment-cerise-localgribr.yml
+++ b/conda_installation/environment-cerise-localgribr.yml
@@ -1,398 +1,346 @@
-name: condaCerise
+name: ceriseNoAS
 channels:
-  - r
   - conda-forge
   - defaults
 dependencies:
   - _libgcc_mutex=0.1=conda_forge
-  - _openmp_mutex=4.5=2_gnu
+  - _openmp_mutex=4.5=2_kmp_llvm
   - _r-mutex=1.0.0=anacondar_1
-  - alsa-lib=1.2.8=h166bdaf_0
-  - atk-1.0=2.36.0=ha1a6a79_0
-  - attr=2.5.1=h166bdaf_1
+  - _sysroot_linux-64_curr_repodata_hack=3=haa98f57_10
+  - atk-1.0=2.38.0=hd4edc92_1
+  - aws-c-auth=0.7.0=hf8751d9_2
+  - aws-c-cal=0.6.0=h93469e0_0
+  - aws-c-common=0.8.23=hd590300_0
+  - aws-c-compression=0.2.17=h862ab75_1
+  - aws-c-event-stream=0.3.1=h9599702_1
+  - aws-c-http=0.7.11=hbe98c3e_0
+  - aws-c-io=0.13.28=h3870b5a_0
+  - aws-c-mqtt=0.8.14=h2e270ba_2
+  - aws-c-s3=0.3.13=heb0bb06_2
+  - aws-c-sdkutils=0.1.11=h862ab75_1
+  - aws-checksums=0.1.16=h862ab75_1
+  - aws-crt-cpp=0.20.3=he9c0e7f_4
+  - aws-sdk-cpp=1.10.57=hbc2ea52_17
   - binutils_impl_linux-64=2.40=hf600244_0
-  - brotli=1.0.9=h5eee18b_7
-  - brotli-bin=1.0.9=h5eee18b_7
-  - brotlipy=0.7.0=py37h27cfd23_1003
+  - blas=2.116=openblas
+  - blas-devel=3.9.0=16_linux64_openblas
+  - blosc=1.21.4=h0f2a231_0
+  - boost-cpp=1.78.0=h6582d0a_3
   - bwidget=1.9.11=1
   - bzip2=1.0.8=h7b6447c_0
   - c-ares=1.19.0=h5eee18b_0
-  - ca-certificates=2023.01.10=h06a4308_0
-  - cairo=1.16.0=ha61ee94_1014
-  - cdo=2.1.1=h4f55462_2
-  - certifi=2022.12.7=py37h06a4308_0
-  - cffi=1.15.1=py37h5eee18b_3
-  - conda=4.14.0=py37h89c1867_0
-  - conda-package-handling=2.0.2=py37h06a4308_0
-  - conda-package-streaming=0.7.0=py37h06a4308_0
-  - cov-core=1.15.0=py_1
-  - curl=7.88.1=hdc1c0ab_1
-  - cycler=0.11.0=pyhd3eb1b0_0
-  - dbus=1.13.18=hb2f20db_0
-  - eccodes=2.29.0=h7986f14_1
-  - expat=2.5.0=h27087fc_0
+  - ca-certificates=2023.7.22=hbcca054_0
+  - cairo=1.16.0=hb05425b_5
+  - cfitsio=4.2.0=hd9d235c_0
+  - curl=8.2.0=hca28451_0
+  - eccodes=2.31.0=h73bf81c_0
+  - expat=2.5.0=hcb278e6_1
   - fftw=3.3.10=nompi_hf0379b8_106
-  - findlibs=0.0.2=pyhd8ed1ab_0
-  - flit-core=3.6.0=pyhd3eb1b0_0
-  - font-ttf-dejavu-sans-mono=2.37=hd3eb1b0_0
-  - font-ttf-inconsolata=2.001=hcb22688_0
-  - font-ttf-source-code-pro=2.030=hd3eb1b0_0
-  - font-ttf-ubuntu=0.83=h8b1ccd4_0
+  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
+  - font-ttf-inconsolata=3.000=h77eed37_0
+  - font-ttf-source-code-pro=2.038=h77eed37_0
+  - font-ttf-ubuntu=0.83=hab24e00_0
   - fontconfig=2.14.2=h14ed4e7_0
-  - fonts-anaconda=1=h8fa9717_0
-  - fonts-conda-ecosystem=1=hd3eb1b0_0
-  - fonttools=4.25.0=pyhd3eb1b0_0
-  - freeglut=3.2.2=h9c3ff4c_1
+  - fonts-conda-ecosystem=1=0
+  - fonts-conda-forge=1=0
+  - freeglut=3.2.2=hac7e632_2
   - freetype=2.12.1=h4a9f257_0
+  - freexl=1.0.6=h166bdaf_1
   - fribidi=1.0.10=h7b6447c_0
-  - gcc_impl_linux-64=12.2.0=hcc96c02_19
-  - gdk-pixbuf=2.42.10=h5eee18b_0
+  - gcc_impl_linux-64=13.1.0=hc4be1a9_0
+  - gdk-pixbuf=2.42.10=h6b639ba_2
+  - geos=3.11.2=hcb278e6_0
+  - geotiff=1.7.1=h22adcc9_11
   - gettext=0.21.1=h27087fc_0
-  - gfortran_impl_linux-64=12.2.0=h55be85b_19
-  - giflib=5.2.1=h5eee18b_3
-  - glib=2.74.1=h6239696_1
-  - glib-tools=2.74.1=h6239696_1
-  - gobject-introspection=1.72.0=py37hbb6d50b_1
+  - gfortran_impl_linux-64=13.1.0=hd511a9b_0
+  - ghostscript=9.54.0=h27087fc_2
+  - giflib=5.2.1=h0b41bf4_3
+  - glib=2.76.4=hfc55251_0
+  - glib-tools=2.76.4=hfc55251_0
   - graphite2=1.3.14=h295c915_1
-  - graphviz=7.1.0=h2e5815a_0
-  - gsl=2.7.1=h6e86dc7_1
-  - gst-plugins-base=1.22.0=h4243ec0_2
-  - gstreamer=1.22.0=h25f0c4b_2
-  - gstreamer-orc=0.4.33=h166bdaf_0
-  - gtk2=2.24.33=h73c1081_2
-  - gts=0.7.6=hb67d8dd_3
-  - gxx_impl_linux-64=12.2.0=hcc96c02_19
-  - harfbuzz=6.0.0=h8e241bc_0
-  - hdf4=4.2.15=h9772cbc_5
-  - hdf5=1.12.2=nompi_h4df4325_101
-  - icu=70.1=h27087fc_0
-  - idna=3.4=py37h06a4308_0
-  - jack=1.9.22=h11f4161_0
-  - jasper=4.0.0=h0ff4b12_0
-  - jpeg=9e=h5eee18b_1
-  - kernel-headers_linux-64=2.6.32=he073ed8_15
+  - graphviz=8.1.0=h28d9a01_0
+  - gsl=2.7=he838d99_0
+  - gtk2=2.24.33=h90689f9_2
+  - gts=0.7.6=h977cf35_4
+  - gxx_impl_linux-64=13.1.0=hc4be1a9_0
+  - harfbuzz=7.3.0=hdb3a94d_0
+  - hdf4=4.2.15=h501b40f_6
+  - hdf5=1.14.1=nompi_h4f84152_100
+  - icu=72.1=hcb278e6_0
+  - imagemagick=7.1.1_14=pl5321hf48ede7_0
+  - jasper=4.0.0=h32699f2_1
+  - jbig=2.1=h7f98852_2003
+  - json-c=0.16=hc379101_0
+  - kealib=1.5.1=h3e6883b_4
+  - kernel-headers_linux-64=2.6.32=he073ed8_16
   - keyutils=1.6.1=h166bdaf_0
-  - kiwisolver=1.4.4=py37h6a678d5_0
-  - krb5=1.20.1=h81ceb04_0
-  - lame=3.100=h7b6447c_0
-  - lcms2=2.12=h3be6417_0
+  - krb5=1.21.1=h659d440_0
+  - lcms2=2.15=haa2dc70_1
   - ld_impl_linux-64=2.40=h41732ed_0
-  - lerc=3.0=h295c915_0
+  - lerc=4.0.0=h27087fc_0
   - libaec=1.0.6=hcb278e6_1
   - libblas=3.9.0=16_linux64_openblas
-  - libbrotlicommon=1.0.9=h5eee18b_7
-  - libbrotlidec=1.0.9=h5eee18b_7
-  - libbrotlienc=1.0.9=h5eee18b_7
-  - libcap=2.66=ha37c62d_0
   - libcblas=3.9.0=16_linux64_openblas
-  - libclang=15.0.7=default_had23c3d_1
-  - libclang13=15.0.7=default_h3e3d535_1
-  - libcups=2.3.3=h36d4200_3
-  - libcurl=7.88.1=hdc1c0ab_1
-  - libdb=6.2.32=h6a678d5_1
-  - libdeflate=1.17=h5eee18b_0
+  - libcurl=8.2.0=hca28451_0
+  - libdeflate=1.18=h0b41bf4_0
   - libedit=3.1.20221030=h5eee18b_0
   - libev=4.33=h7f8727e_1
-  - libevent=2.1.10=h28343ad_4
+  - libexpat=2.5.0=hcb278e6_1
   - libffi=3.4.4=h6a678d5_0
-  - libflac=1.4.2=h27087fc_0
-  - libgcc-devel_linux-64=12.2.0=h3b97bd3_19
-  - libgcc-ng=12.2.0=h65d4601_19
-  - libgcrypt=1.10.1=h166bdaf_0
-  - libgd=2.3.3=h695aa2c_1
-  - libgfortran-ng=12.2.0=h69a702a_19
-  - libgfortran5=12.2.0=h337968e_19
-  - libglib=2.74.1=h606061b_1
-  - libglu=9.0.0=hf484d3e_1
-  - libgomp=12.2.0=h65d4601_19
-  - libgpg-error=1.46=h620e276_0
+  - libgcc-devel_linux-64=13.1.0=he3cc6c4_0
+  - libgcc-ng=13.1.0=he5830b7_0
+  - libgd=2.3.3=hfa28ad5_6
+  - libgdal=3.6.4=hd54c316_5
+  - libgfortran-ng=13.1.0=h69a702a_0
+  - libgfortran5=13.1.0=h15d22d2_0
+  - libglib=2.76.4=hebfc3b9_0
+  - libglu=9.0.0=hac7e632_1002
+  - libgomp=13.1.0=he5830b7_0
   - libiconv=1.17=h166bdaf_0
+  - libjpeg-turbo=2.1.5.1=h0b41bf4_0
+  - libkml=1.3.0=h37653c0_1015
   - liblapack=3.9.0=16_linux64_openblas
-  - libllvm15=15.0.7=hadd5161_1
-  - libnetcdf=4.9.1=nompi_h34a3ff0_101
-  - libnghttp2=1.52.0=h61bc06f_0
-  - libnsl=2.0.0=h5eee18b_0
-  - libogg=1.3.5=h27cfd23_1
-  - libopenblas=0.3.21=h043d6bf_0
-  - libopus=1.3.1=h7b6447c_0
+  - liblapacke=3.9.0=16_linux64_openblas
+  - libnetcdf=4.9.2=nompi_h7e745eb_109
+  - libnghttp2=1.52.0=h2d74bed_1
+  - libnsl=2.0.0=h7f98852_0
+  - libopenblas=0.3.21=pthreads_h78a6416_3
   - libpng=1.6.39=h5eee18b_0
-  - libpq=15.2=hb675445_0
-  - librsvg=2.54.4=h7abd40a_0
-  - libsanitizer=12.2.0=h46fd767_19
-  - libsndfile=1.2.0=hb75c966_0
-  - libsodium=1.0.18=h7b6447c_0
-  - libsqlite=3.40.0=h753d276_0
-  - libssh2=1.10.0=hf14f497_3
-  - libstdcxx-devel_linux-64=12.2.0=h3b97bd3_19
-  - libstdcxx-ng=12.2.0=h46fd767_19
-  - libsystemd0=252=h2a991cd_0
-  - libtiff=4.5.0=h6a678d5_2
+  - libpq=15.3=hfc447b1_2
+  - librsvg=2.56.1=h98fae49_0
+  - librttopo=1.1.0=h0d5128d_13
+  - libsanitizer=13.1.0=hfd8a6a1_0
+  - libspatialite=5.0.1=hca56755_27
+  - libsqlite=3.42.0=h2797004_0
+  - libssh2=1.11.0=h0841786_0
+  - libstdcxx-devel_linux-64=13.1.0=he3cc6c4_0
+  - libstdcxx-ng=13.1.0=hfd8a6a1_0
+  - libtiff=4.5.1=h8b53f26_0
   - libtool=2.4.7=h27087fc_0
-  - libudev1=253=h0b41bf4_0
-  - libuuid=2.32.1=h7f98852_1000
-  - libvorbis=1.3.7=h7b6447c_0
-  - libwebp=1.2.4=h11a3e52_1
-  - libwebp-base=1.2.4=h5eee18b_1
-  - libxcb=1.13=h1bed415_1
-  - libxkbcommon=1.5.0=h79f4944_1
-  - libxml2=2.10.3=hca2bb57_4
+  - libuuid=2.38.1=h0b41bf4_0
+  - libwebp=1.3.1=hbf2b3c1_0
+  - libwebp-base=1.3.1=hd590300_0
+  - libxcb=1.15=h7f8727e_0
+  - libxml2=2.11.4=h0d562d8_0
   - libzip=1.9.2=hc929e4a_1
-  - libzlib=1.2.13=h166bdaf_4
+  - libzlib=1.2.13=hd590300_5
+  - llvm-openmp=16.0.6=h4dfa4b3_0
   - lz4-c=1.9.4=h6a678d5_0
-  - magics=4.13.0=h37abd2f_1
-  - magics-python=1.5.8=pyhd8ed1ab_1
   - make=4.2.1=h1bed415_1
-  - matplotlib=3.5.3=py37h89c1867_2
-  - matplotlib-base=3.5.3=py37hf590b9c_0
-  - mock=5.0.1=pyhd8ed1ab_0
-  - mpg123=1.31.3=hcb278e6_0
-  - munkres=1.1.4=py_0
-  - mysql-common=8.0.32=ha901b37_0
-  - mysql-libs=8.0.32=hd7da12d_0
   - ncurses=6.4=h6a678d5_0
-  - ninja=1.10.2=h06a4308_5
-  - ninja-base=1.10.2=hd09550d_5
-  - nose=1.3.7=py_1006
-  - nose-cov=1.6=py_1
-  - nspr=4.35=h6a678d5_0
+  - nspr=4.35=h27087fc_0
   - nss=3.89=he45b914_0
-  - numpy=1.21.6=py37h976b520_0
+  - openblas=0.3.21=pthreads_h320a7e8_3
+  - openjpeg=2.5.0=hfec8fc6_2
   - openssl=3.1.1=hd590300_1
-  - packaging=22.0=py37h06a4308_0
-  - pandoc=2.12=h06a4308_3
-  - pango=1.50.14=hd33c08f_0
-  - paramiko=3.1.0=pyhd8ed1ab_0
+  - pandoc=2.19.2=h32600fe_2
+  - pango=1.50.14=heaa33ce_1
+  - pcre=8.45=h295c915_0
   - pcre2=10.40=hc3806b6_0
+  - perl=5.32.1=4_hd590300_perl5
   - phantomjs=2.1.1=1
-  - pillow=9.4.0=py37h6a678d5_0
-  - pip=23.0.1=pyhd8ed1ab_0
+  - pip=23.1.2=py311h06a4308_0
   - pixman=0.40.0=h7f8727e_1
-  - ply=3.11=py37_0
-  - proj=9.1.1=h8ffa02c_2
-  - pulseaudio=16.1=ha8d29e2_1
-  - pycosat=0.6.4=py37h5eee18b_0
-  - pycparser=2.21=pyhd3eb1b0_0
-  - pynacl=1.5.0=py37h5eee18b_0
-  - pyopenssl=23.0.0=py37h06a4308_0
-  - pyparsing=3.0.9=pyhd8ed1ab_0
-  - pyqt=5.15.7=py37hf30b843_1
-  - pyqt5-sip=12.11.0=py37hd23a5d3_1
-  - pysocks=1.7.1=py37_1
-  - python=3.7.12=hf930737_100_cpython
-  - python-dateutil=2.8.2=pyhd8ed1ab_0
-  - python_abi=3.7=3_cp37m
-  - qt-main=5.15.8=h5d23da1_6
-  - r-abind=1.4_5=r42hc72bb7e_1004
-  - r-askpass=1.1=r42h06615bd_3
-  - r-assertthat=0.2.1=r42hc72bb7e_3
-  - r-base=4.2.3=ha7d60f8_0
-  - r-base64enc=0.1_3=r42h06615bd_1005
-  - r-bigmemory=4.6.1=r42h7525677_1
-  - r-bigmemory.sri=0.1.6=r42hc72bb7e_0
-  - r-brio=1.1.3=r42h76d94ec_0
-  - r-bslib=0.4.2=r42hc72bb7e_0
-  - r-cachem=1.0.7=r42h133d619_0
-  - r-callr=3.7.0=r42h6115d3f_0
-  - r-cli=3.6.0=r42h38f115c_0
-  - r-climdex.pcic=1.1_11=r42h7525677_1
-  - r-climprojdiags=0.3.0=r42hc72bb7e_0
-  - r-clock=0.6.1=r42h7525677_1
-  - r-codetools=0.2_19=r42hc72bb7e_0
-  - r-colorspace=2.1_0=r42h133d619_0
-  - r-commonmark=1.9.0=r42h133d619_0
-  - r-configr=0.3.5=r42hc72bb7e_0
-  - r-cpp11=0.4.3=r42hc72bb7e_0
-  - r-crayon=1.5.2=r42hc72bb7e_1
-  - r-curl=4.3.3=r42h06615bd_1
-  - r-desc=1.4.1=r42h6115d3f_0
-  - r-diffobj=0.3.5=r42h76d94ec_0
-  - r-digest=0.6.31=r42h38f115c_0
-  - r-doparallel=1.0.17=r42hc72bb7e_1
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-  - xkeyboard-config=2.38=h0b41bf4_0
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-  - xorg-libx11=1.8.4=h0b41bf4_0
-  - xorg-libxau=1.0.9=h7f98852_0
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+  - xorg-libx11=1.8.6=h8ee46fc_0
+  - xorg-libxau=1.0.11=hd590300_0
   - xorg-libxext=1.3.4=h0b41bf4_2
   - xorg-libxfixes=5.0.3=h7f98852_1004
   - xorg-libxi=1.7.10=h7f98852_0
-  - xorg-libxrender=0.9.10=h7f98852_1003
-  - xorg-libxt=1.2.1=h7f98852_2
+  - xorg-libxrender=0.9.11=hd590300_0
+  - xorg-libxt=1.3.0=hd590300_1
   - xorg-renderproto=0.11.1=h7f98852_1002
   - xorg-xextproto=7.3.0=h0b41bf4_1003
-  - xorg-xproto=7.0.31=h27cfd23_1007
-  - xz=5.2.10=h5eee18b_1
-  - yaml=0.2.5=h7b6447c_0
-  - zlib=1.2.13=h166bdaf_4
-  - zstandard=0.19.0=py37h5eee18b_0
+  - xorg-xproto=7.0.31=h7f98852_1007
+  - xz=5.4.2=h5eee18b_0
+  - zlib=1.2.13=hd590300_5
   - zstd=1.5.5=hc292b87_0
-  - pip:
-      - argparse==1.4.0
-      - attrs==22.2.0
-      - autosubmit==4.0.73
-      - autosubmitconfigparser==1.0.21
-      - bcrypt==4.0.1
-      - bscearth-utils==0.5.2
-      - charset-normalizer==3.1.0
-      - configobj==5.0.8
-      - coverage==7.2.2
-      - cryptography==39.0.2
-      - exceptiongroup==1.1.1
-      - importlib-metadata==6.1.0
-      - iniconfig==2.0.0
-      - networkx==2.6.3
-      - pluggy==1.0.0
-      - portalocker==2.7.0
-      - py3dotplus==1.1.0
-      - pygments==2.14.0
-      - pytest==7.2.2
-      - pythondialog==3.5.3
-      - ruamel-yaml==0.17.21
-      - ruamel-yaml-clib==0.2.7
-      - setuptools==67.6.0
-      - xlib==0.21
-      - zipp==3.15.0
-prefix: /esarchive/scratch/pbretonn/conda-cerise/conda/envs/condaCerise
+prefix: /home/Earth/pbretonn/miniconda3/envs/ceriseNoAS
-- 
GitLab


From deaaf1d1fdf8f7a0869d3adfe8e435c19cf15d43 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 26 Jul 2023 16:16:00 +0200
Subject: [PATCH 33/84] Add libraries, change scorecards input dir

---
 modules/Scorecards/R/plot_scorecards.R | 18 +++++++++---------
 tools/libs.R                           |  6 +++++-
 2 files changed, 14 insertions(+), 10 deletions(-)

diff --git a/modules/Scorecards/R/plot_scorecards.R b/modules/Scorecards/R/plot_scorecards.R
index ac1e4c14..a6e0483b 100644
--- a/modules/Scorecards/R/plot_scorecards.R
+++ b/modules/Scorecards/R/plot_scorecards.R
@@ -3,21 +3,21 @@
 ###############################################################################
 
 ##### Load source functions #####
-source('/modules/Scorecards/tmp/LoadMetrics.R')
-source('/modules/Scorecards/tmp/WeightedMetrics.R')
-source('/modules/Scorecards/tmp/Utils.R')
-source('/modules/Scorecards/tmp/SCTransform.R')
-source('/modules/Scorecards/tmp/ScorecardsSingle.R')
-source('/modules/Scorecards/tmp/ScorecardsMulti.R')
-source('/modules/Scorecards/tmp/ScorecardsSystemDiff.R')
-source('/modules/Scorecards/tmp/SCPlotScorecard.R') 
+source('modules/Scorecards/tmp/LoadMetrics.R')
+source('modules/Scorecards/tmp/WeightedMetrics.R')
+source('modules/Scorecards/tmp/Utils.R')
+source('modules/Scorecards/tmp/SCTransform.R')
+source('modules/Scorecards/tmp/ScorecardsSingle.R')
+source('modules/Scorecards/tmp/ScorecardsMulti.R')
+source('modules/Scorecards/tmp/ScorecardsSystemDiff.R')
+source('modules/Scorecards/tmp/SCPlotScorecard.R') 
 
 ## Define function
 plot_scorecards <- function(recipe) {
 
     ## set parameters
     # input.path <- '/esarchive/scratch/nmilders/scorecards_data/to_system/cross_validation/both_cross_val/' #recipe$Run$output_dir
-    input.path <- recipe$Run$output_dir
+    input.path <- paste0(recipe$Run$output_dir, "/outputs/Skill/")
     output.path <- recipe$Run$output_dir
     
     system <- recipe$Analysis$Datasets$System$name
diff --git a/tools/libs.R b/tools/libs.R
index a67f9549..326a2689 100644
--- a/tools/libs.R
+++ b/tools/libs.R
@@ -18,7 +18,11 @@ library(ggplot2)
 library(rnaturalearth)
 library(cowplot)
 library(stringr)
-library(pryr) # To check mem usage.
+library(pryr)
+library(ncdf4)
+library(formattable) ## to plot horizontal color bars - used ??
+library(kableExtra)
+# To check mem usage.
 
 # Functions
 ## To be removed when new package is done by library(CSOperational)
-- 
GitLab


From ef8df994b9caff53bfb8888b81104bac4ff604b4 Mon Sep 17 00:00:00 2001
From: Nadia Milders <nadia.milders@bsc.es>
Date: Thu, 27 Jul 2023 11:50:46 +0200
Subject: [PATCH 34/84] included rps_clim and crps_clim in metrics

---
 modules/Scorecards/R/plot_scorecards.R | 347 +++++++++++++------------
 1 file changed, 185 insertions(+), 162 deletions(-)

diff --git a/modules/Scorecards/R/plot_scorecards.R b/modules/Scorecards/R/plot_scorecards.R
index ac1e4c14..1ceb0124 100644
--- a/modules/Scorecards/R/plot_scorecards.R
+++ b/modules/Scorecards/R/plot_scorecards.R
@@ -3,178 +3,201 @@
 ###############################################################################
 
 ##### Load source functions #####
-source('/modules/Scorecards/tmp/LoadMetrics.R')
-source('/modules/Scorecards/tmp/WeightedMetrics.R')
-source('/modules/Scorecards/tmp/Utils.R')
-source('/modules/Scorecards/tmp/SCTransform.R')
-source('/modules/Scorecards/tmp/ScorecardsSingle.R')
-source('/modules/Scorecards/tmp/ScorecardsMulti.R')
-source('/modules/Scorecards/tmp/ScorecardsSystemDiff.R')
-source('/modules/Scorecards/tmp/SCPlotScorecard.R') 
+source('./modules/Scorecards/tmp/LoadMetrics.R')
+source('./modules/Scorecards/tmp/WeightedMetrics.R')
+source('./modules/Scorecards/tmp/Utils.R')
+source('./modules/Scorecards/tmp/SCTransform.R')
+source('./modules/Scorecards/tmp/ScorecardsSingle.R')
+source('./modules/Scorecards/tmp/ScorecardsMulti.R')
+source('./modules/Scorecards/tmp/ScorecardsSystemDiff.R')
+source('./modules/Scorecards/tmp/SCPlotScorecard.R') 
 
 ## Define function
 plot_scorecards <- function(recipe) {
-
-    ## set parameters
-    # input.path <- '/esarchive/scratch/nmilders/scorecards_data/to_system/cross_validation/both_cross_val/' #recipe$Run$output_dir
-    input.path <- recipe$Run$output_dir
-    output.path <- recipe$Run$output_dir
-    
-    system <- recipe$Analysis$Datasets$System$name
-    reference <- recipe$Analysis$Datasets$Reference$name
-    var <- recipe$Analysis$Variables$name
-    start.year <- as.numeric(recipe$Analysis$Time$hcst_start)
-    end.year <- as.numeric(recipe$Analysis$Time$hcst_end)
-    forecast.months <- recipe$Analysis$Time$ftime_min : recipe$Analysis$Time$ftime_max
-    
-    start.months <- 1:12 #recipe$Analysis$Workflow$Scorecards$start_months
-    
-    regions <- recipe$Analysis$Workflow$Scorecards$regions  
-    for (i in names(regions)){regions[[i]] <- unlist(regions[[i]])}
-    
-    metric.aggregation <- recipe$Analysis$Workflow$Scorecards$metric_aggregation
-    metrics.load <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Skill$metric), ", | |,"))
-    metrics.visualize <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Scorecards$metric), ", | |,"))
-    table.label <-  recipe$Analysis$Workflow$Scorecards$table_label
-    fileout.label <- recipe$Analysis$Workflow$Scorecards$fileout_label
-    legend.white.space <- recipe$Analysis$Workflow$Scorecards$legend_white_space 
-    col1.width <- recipe$Analysis$Workflow$Scorecards$col1_width
-    col2.width <- recipe$Analysis$Workflow$Scorecards$col2_width
-    calculate.diff <- recipe$Analysis$Workflow$Scorecards$calculate_diff
-    ncores <- recipe$Analysis$ncores
-    
-    ## Load data files
-    loaded_metrics <- LoadMetrics(system = system,
-                                  reference = reference,
-                                  var = var,
-                                  start.year = start.year,
-                                  end.year = end.year,
-                                  metrics =  metrics.load,
-                                  start.months = start.months,
-                                  forecast.months = forecast.months,
-                                  input.path = input.path)
-    
+  
+  ## set parameters
+  input.path <- recipe$Run$output_dir
+  output.path <- recipe$Run$output_dir
+  
+  system <- recipe$Analysis$Datasets$System$name
+  reference <- recipe$Analysis$Datasets$Reference$name
+  var <- recipe$Analysis$Variables$name
+  start.year <- as.numeric(recipe$Analysis$Time$hcst_start)
+  end.year <- as.numeric(recipe$Analysis$Time$hcst_end)
+  forecast.months <- recipe$Analysis$Time$ftime_min : recipe$Analysis$Time$ftime_max
+  
+  start.months <- 1:12 #recipe$Analysis$Workflow$Scorecards$start_months
+  
+  regions <- recipe$Analysis$Workflow$Scorecards$regions  
+  for (i in names(regions)){regions[[i]] <- unlist(regions[[i]])}
+  
+  metric.aggregation <- recipe$Analysis$Workflow$Scorecards$metric_aggregation
+  metrics.load <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Skill$metric), ", | |,"))
+  
+  ## Define skill scores in score aggregation has been requested
+  
+  if(metric.aggregation == 'score'){
+    if('rps' %in% metrics.load){
+      metrics.load <- c(metrics.load, 'rps_clim') 
+    }
+    if('crps' %in% metrics.load){
+      metrics.load <- c(metrics.load, 'crps_clim') 
+    }
+  }
+  
+  metrics.visualize <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Scorecards$metric), ", | |,"))
+  
+  ## Define skill scores in score aggregation has been requested
+  
+  if(metric.aggregation == 'score'){
+    if('rpss' %in% metrics.visualize){
+      metrics.visualize[metrics.visualize == 'rpss'] <- 'rpss_score_aggr'
+    }
+    if('crpss' %in% metrics.visualize){
+      metrics.visualize[metrics.visualize == 'crpss'] <- 'crpss_score_aggr'
+    }
+  }
+  
+  table.label <-  recipe$Analysis$Workflow$Scorecards$table_label
+  fileout.label <- recipe$Analysis$Workflow$Scorecards$fileout_label
+  legend.white.space <- recipe$Analysis$Workflow$Scorecards$legend_white_space 
+  col1.width <- recipe$Analysis$Workflow$Scorecards$col1_width
+  col2.width <- recipe$Analysis$Workflow$Scorecards$col2_width
+  calculate.diff <- recipe$Analysis$Workflow$Scorecards$calculate_diff
+  ncores <- recipe$Analysis$ncores
+  
+  ## Load data files
+  loaded_metrics <- LoadMetrics(system = system,
+                                reference = reference,
+                                var = var,
+                                start.year = start.year,
+                                end.year = end.year,
+                                metrics =  metrics.load,
+                                start.months = start.months,
+                                forecast.months = forecast.months,
+                                input.path = input.path)
+  
+  
+  if('region' %in% names(dim(loaded_metrics[[1]][[1]]))){
     
-    if('region' %in% names(dim(loaded_metrics[[1]][[1]]))){
-      
-      ### Convert loaded metrics to array for allready aggregated data
-      metrics.dim <- attributes(loaded_metrics[[1]][[1]])$metrics 
-      forecast.months.dim <- attributes(loaded_metrics[[1]][[1]])$forecast.months 
-      start.months.dim <- attributes(loaded_metrics[[1]][[1]])$start.months 
-      regions.dim <- regions #list('NAO' = c(lon.min = -80, lon.max = 40, lat.min = 20, lat.max = 80))
-      
-      aggregated_metrics <- array(dim = c(system = length(loaded_metrics),
-                                          reference = length(loaded_metrics[[1]]),
-                                          metric = length(metrics.dim), 
-                                          time = length(forecast.months.dim), 
-                                          sdate = length(start.months.dim), 
-                                          region = length(regions.dim)))
-      
-      
-      for (sys in 1:length(names(loaded_metrics))){
-        for (ref in 1:length(names(loaded_metrics[[sys]]))){
-          aggregated_metrics[sys, ref, , , , ] <- s2dv::Reorder(data = loaded_metrics[[sys]][[ref]], order = c('metric','time','sdate','region'))
-        }
-      }
-      
-      ## Add attributes
-      attributes(aggregated_metrics)$metrics <- metrics.load
-      attributes(aggregated_metrics)$start.months <- attributes(loaded_metrics[[1]][[1]])$start.months
-      attributes(aggregated_metrics)$forecast.months <- attributes(loaded_metrics[[1]][[1]])$forecast.months
-      attributes(aggregated_metrics)$regions <- regions
-      attributes(aggregated_metrics)$system.name <- names(loaded_metrics)
-      attributes(aggregated_metrics)$reference.name <- names(loaded_metrics[[1]])
-      
-      
-    } else {
-      ## Calculate weighted mean of spatial aggregation
-      aggregated_metrics <- WeightedMetrics(loaded_metrics,
-                                            regions = regions,
-                                            metric.aggregation = metric.aggregation,
-                                            ncores = ncores)
-    }## close if
+    ### Convert loaded metrics to array for allready aggregated data
+    metrics.dim <- attributes(loaded_metrics[[1]][[1]])$metrics 
+    forecast.months.dim <- attributes(loaded_metrics[[1]][[1]])$forecast.months 
+    start.months.dim <- attributes(loaded_metrics[[1]][[1]])$start.months 
+    regions.dim <- regions #list('NAO' = c(lon.min = -80, lon.max = 40, lat.min = 20, lat.max = 80))
     
-
-    # if(var == 'nao'){
-    #   legend.white.space <- 3.75
-    #   col1.width <- 2
-    #   col2.width <- 1
-    # } else{
-    #   legend.white.space <- col1.width <- col2.width <- NULL ## Use default values of function
-    #   
-    # }
+    aggregated_metrics <- array(dim = c(system = length(loaded_metrics),
+                                        reference = length(loaded_metrics[[1]]),
+                                        metric = length(metrics.dim), 
+                                        time = length(forecast.months.dim), 
+                                        sdate = length(start.months.dim), 
+                                        region = length(regions.dim)))
     
-    ## Define skill scores in scorec aggragtion has been requested
     
-    if(metric.aggregation == 'score'){
-      if('rpss' %in% metrics.visualize){
-        metrics.visualize[metrics.visualize == 'rpss'] <- 'rpss_score_aggr'
-      }
-      if('crpss' %in% metrics.visualize){
-        metrics.visualize[metrics.visualize == 'crpss'] <- 'crpss_score_aggr'
+    for (sys in 1:length(names(loaded_metrics))){
+      for (ref in 1:length(names(loaded_metrics[[sys]]))){
+        aggregated_metrics[sys, ref, , , , ] <- s2dv::Reorder(data = loaded_metrics[[sys]][[ref]], order = c('metric','time','sdate','region'))
       }
     }
     
-    ## Create simple scorecard tables 
-    ## (one system only)
-    ## Metrics input must be in the same order as function SC_spatial_aggregation
-    scorecard_single <- ScorecardsSingle(data = aggregated_metrics,
-                                         system = system,
-                                         reference = reference,
-                                         var = var,
-                                         start.year = start.year,
-                                         end.year = end.year,
-                                         start.months = start.months,
-                                         forecast.months = forecast.months,
-                                         region.names = names(regions),
-                                         metrics = metrics.visualize,
-                                         table.label =  table.label,
-                                         fileout.label = fileout.label,
-                                         legend.white.space = legend.white.space, 
-                                         col1.width = col1.width,
-                                         col2.width = col2.width,
-                                         output.path = output.path)
-    
-    ## Create multi system/reference scorecard tables
-    ## (multiple systems with one reference or one system with multiple references)
-    ## Metrics input must be in the same order as function SC_spatial_aggregation
-    if(length(system) >  1 || length(reference) >  1){
-      scorecard_multi <- ScorecardsMulti(data = aggregated_metrics,
-                                         system = system,
-                                         reference = reference,
-                                         var = var,
-                                         start.year = start.year,
-                                         end.year = end.year,
-                                         start.months = start.months,
-                                         forecast.months = forecast.months,
-                                         region.names = attributes(regions)$names,
-                                         metrics = metrics.visualize,
-                                         table.label =  table.label,
-                                         fileout.label = fileout.label,
-                                         output.path = output.path)
-    } ## close if
+    ## Add attributes
+    attributes(aggregated_metrics)$metrics <- metrics.load
+    attributes(aggregated_metrics)$start.months <- attributes(loaded_metrics[[1]][[1]])$start.months
+    attributes(aggregated_metrics)$forecast.months <- attributes(loaded_metrics[[1]][[1]])$forecast.months
+    attributes(aggregated_metrics)$regions <- regions
+    attributes(aggregated_metrics)$system.name <- names(loaded_metrics)
+    attributes(aggregated_metrics)$reference.name <- names(loaded_metrics[[1]])
     
     
-    if(calculate.diff == TRUE){
-      if(length(system) ==  2 || length(reference) ==  2){
-        scorecard_diff <- ScorecardsSystemDiff(data = aggregated_metrics,
-                                               system = system,
-                                               reference = reference,
-                                               var = var,
-                                               start.year = start.year,
-                                               end.year = end.year,
-                                               start.months = start.months,
-                                               forecast.months = forecast.months,
-                                               region.names = attributes(regions)$names,
-                                               metrics = metrics.visualize,
-                                               table.label = table.label,
-                                               fileout.label =  fileout.label,
-                                               legend.white.space = legend.white.space, 
-                                               col1.width = col1.width,
-                                               col2.width = col2.width,
-                                               output.path = output.path)
-      } else {stop ("Difference scorecard can only be computed with two systems or two references.")}
-    } ## close if on calculate.diff
-
+  } else {
+    ## Calculate weighted mean of spatial aggregation
+    aggregated_metrics <- WeightedMetrics(loaded_metrics,
+                                          regions = regions,
+                                          metric.aggregation = metric.aggregation,
+                                          ncores = ncores)
+  }## close if
+  
+  
+  # if(var == 'nao'){
+  #   legend.white.space <- 3.75
+  #   col1.width <- 2
+  #   col2.width <- 1
+  # } else{
+  #   legend.white.space <- col1.width <- col2.width <- NULL ## Use default values of function
+  #   
+  # }
+  
+  ## Define skill scores in score aggregation has been requested
+  
+  if(metric.aggregation == 'score'){
+    if('rpss' %in% metrics.visualize){
+      metrics.visualize[metrics.visualize == 'rpss'] <- 'rpss_score_aggr'
+    }
+    if('crpss' %in% metrics.visualize){
+      metrics.visualize[metrics.visualize == 'crpss'] <- 'crpss_score_aggr'
+    }
+  }
+  
+  ## Create simple scorecard tables 
+  ## (one system only)
+  ## Metrics input must be in the same order as function SC_spatial_aggregation
+  scorecard_single <- ScorecardsSingle(data = aggregated_metrics,
+                                       system = system,
+                                       reference = reference,
+                                       var = var,
+                                       start.year = start.year,
+                                       end.year = end.year,
+                                       start.months = start.months,
+                                       forecast.months = forecast.months,
+                                       region.names = names(regions),
+                                       metrics = metrics.visualize,
+                                       table.label =  table.label,
+                                       fileout.label = fileout.label,
+                                       legend.white.space = legend.white.space, 
+                                       col1.width = col1.width,
+                                       col2.width = col2.width,
+                                       output.path = output.path)
+  
+  ## Create multi system/reference scorecard tables
+  ## (multiple systems with one reference or one system with multiple references)
+  ## Metrics input must be in the same order as function SC_spatial_aggregation
+  if(length(system) >  1 || length(reference) >  1){
+    scorecard_multi <- ScorecardsMulti(data = aggregated_metrics,
+                                       system = system,
+                                       reference = reference,
+                                       var = var,
+                                       start.year = start.year,
+                                       end.year = end.year,
+                                       start.months = start.months,
+                                       forecast.months = forecast.months,
+                                       region.names = attributes(regions)$names,
+                                       metrics = metrics.visualize,
+                                       table.label =  table.label,
+                                       fileout.label = fileout.label,
+                                       output.path = output.path)
+  } ## close if
+  
+  
+  if(calculate.diff == TRUE){
+    if(length(system) ==  2 || length(reference) ==  2){
+      scorecard_diff <- ScorecardsSystemDiff(data = aggregated_metrics,
+                                             system = system,
+                                             reference = reference,
+                                             var = var,
+                                             start.year = start.year,
+                                             end.year = end.year,
+                                             start.months = start.months,
+                                             forecast.months = forecast.months,
+                                             region.names = attributes(regions)$names,
+                                             metrics = metrics.visualize,
+                                             table.label = table.label,
+                                             fileout.label =  fileout.label,
+                                             legend.white.space = legend.white.space, 
+                                             col1.width = col1.width,
+                                             col2.width = col2.width,
+                                             output.path = output.path)
+    } else {stop ("Difference scorecard can only be computed with two systems or two references.")}
+  } ## close if on calculate.diff
+  
 }
-    
+
-- 
GitLab


From fa3a6151339f90d0a16609ee9d1c7e6a936002e5 Mon Sep 17 00:00:00 2001
From: Nadia Milders <nadia.milders@bsc.es>
Date: Thu, 27 Jul 2023 13:36:22 +0200
Subject: [PATCH 35/84] cleaned code

---
 modules/Scorecards/R/plot_scorecards.R | 23 +----------------------
 1 file changed, 1 insertion(+), 22 deletions(-)

diff --git a/modules/Scorecards/R/plot_scorecards.R b/modules/Scorecards/R/plot_scorecards.R
index 1ceb0124..29470ef6 100644
--- a/modules/Scorecards/R/plot_scorecards.R
+++ b/modules/Scorecards/R/plot_scorecards.R
@@ -116,28 +116,7 @@ plot_scorecards <- function(recipe) {
                                           metric.aggregation = metric.aggregation,
                                           ncores = ncores)
   }## close if
-  
-  
-  # if(var == 'nao'){
-  #   legend.white.space <- 3.75
-  #   col1.width <- 2
-  #   col2.width <- 1
-  # } else{
-  #   legend.white.space <- col1.width <- col2.width <- NULL ## Use default values of function
-  #   
-  # }
-  
-  ## Define skill scores in score aggregation has been requested
-  
-  if(metric.aggregation == 'score'){
-    if('rpss' %in% metrics.visualize){
-      metrics.visualize[metrics.visualize == 'rpss'] <- 'rpss_score_aggr'
-    }
-    if('crpss' %in% metrics.visualize){
-      metrics.visualize[metrics.visualize == 'crpss'] <- 'crpss_score_aggr'
-    }
-  }
-  
+
   ## Create simple scorecard tables 
   ## (one system only)
   ## Metrics input must be in the same order as function SC_spatial_aggregation
-- 
GitLab


From 42b277b87e1348f2ad42dd1b437fed764ba141b2 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 28 Jul 2023 15:07:57 +0200
Subject: [PATCH 36/84] Fix wrong line, add creating of /plots/Scorecards dir

---
 modules/Scorecards/R/plot_scorecards.R  |  4 ++--
 modules/Scorecards/execute_scorecards.R | 17 +++++++++++++++++
 2 files changed, 19 insertions(+), 2 deletions(-)
 create mode 100644 modules/Scorecards/execute_scorecards.R

diff --git a/modules/Scorecards/R/plot_scorecards.R b/modules/Scorecards/R/plot_scorecards.R
index 50e23bf8..c89868a5 100644
--- a/modules/Scorecards/R/plot_scorecards.R
+++ b/modules/Scorecards/R/plot_scorecards.R
@@ -18,7 +18,8 @@ plot_scorecards <- function(recipe) {
   
   ## set parameters
   input.path <- paste0(recipe$Run$output_dir, "/outputs/Skill/")
-  output.path <- recipe$Run$output_dir
+  output.path <- paste0(recipe$Run$output_dir, "/plots/Scorecards/")
+  dir.create(output.path, recursive = T, showWarnings = F)
   
   system <- recipe$Analysis$Datasets$System$name
   reference <- recipe$Analysis$Datasets$Reference$name
@@ -80,7 +81,6 @@ plot_scorecards <- function(recipe) {
   
   
   if('region' %in% names(dim(loaded_metrics[[1]][[1]]))){
->>>>>>> fa3a6151339f90d0a16609ee9d1c7e6a936002e5
     
     ### Convert loaded metrics to array for allready aggregated data
     metrics.dim <- attributes(loaded_metrics[[1]][[1]])$metrics 
diff --git a/modules/Scorecards/execute_scorecards.R b/modules/Scorecards/execute_scorecards.R
new file mode 100644
index 00000000..b71d7f4f
--- /dev/null
+++ b/modules/Scorecards/execute_scorecards.R
@@ -0,0 +1,17 @@
+source('tools/libs.R')
+source('modules/Scorecards/R/plot_scorecards.R')
+
+args = commandArgs(trailingOnly = TRUE)
+recipe_file <- args[1]
+output_dir <- args[2]
+
+## TODO: Replace with function
+# Read recipe and set outdir
+recipe <- read_yaml(recipe_file)
+recipe$Run$output_dir <- output_dir
+recipe$Analysis$Datasets$System <- recipe$Analysis$Datasets$System[[1]]
+recipe$Analysis$Datasets$Reference <- recipe$Analysis$Datasets$Reference[[1]]
+recipe$Analysis$Variables <- recipe$Analysis$Variables[[1]]
+
+# Plot Scorecards
+plot_scorecards(recipe)
-- 
GitLab


From 009dd249e4beaf215d6a9185677b5d966f8f0ee3 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 28 Jul 2023 15:38:50 +0200
Subject: [PATCH 37/84] Only run Scorecards job if Scorecards section is in the
 recipe

---
 tools/write_autosubmit_conf.R | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tools/write_autosubmit_conf.R b/tools/write_autosubmit_conf.R
index f0e1088a..bcf2cfee 100644
--- a/tools/write_autosubmit_conf.R
+++ b/tools/write_autosubmit_conf.R
@@ -51,6 +51,9 @@ write_autosubmit_conf <- function(recipe, nchunks) {
                                              "FAILED")
       }
       jobs$verification$PROCESSORS <- recipe$Run$auto_conf$processors_per_job # ncores?
+      if (!("Scorecards" %in% names(recipe$Analysis$Workflow))) {
+        jobs$scorecards <- NULL
+      }
       # Return to original list 
       if (auto_specs$auto_version == "4.0.0") {
         conf$JOBS <- jobs
-- 
GitLab


From d672b32886cf3db9d0327709d3a430657ea1641c Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 28 Jul 2023 15:39:22 +0200
Subject: [PATCH 38/84] Reorganize functions and scripts

---
 autosubmit/auto-scorecards.sh           |   2 +-
 autosubmit/conf_esarchive/jobs.conf     |   2 +-
 modules/Scorecards/Scorecards.R         | 198 ++++++++++++++++++++++--
 modules/Scorecards/execute_scorecards.R |   3 +-
 4 files changed, 189 insertions(+), 16 deletions(-)

diff --git a/autosubmit/auto-scorecards.sh b/autosubmit/auto-scorecards.sh
index a1033a46..4b527372 100644
--- a/autosubmit/auto-scorecards.sh
+++ b/autosubmit/auto-scorecards.sh
@@ -12,4 +12,4 @@ recipe=${outdir}/logs/recipes/${recipe}
 
 source MODULES
 
-Rscript modules/Scorecards/Scorecards.R ${recipe} ${outdir}
+Rscript modules/Scorecards/execute_scorecards.R ${recipe} ${outdir}
diff --git a/autosubmit/conf_esarchive/jobs.conf b/autosubmit/conf_esarchive/jobs.conf
index f9d26634..c99236dd 100644
--- a/autosubmit/conf_esarchive/jobs.conf
+++ b/autosubmit/conf_esarchive/jobs.conf
@@ -9,6 +9,6 @@ PROCESSORS =
 [scorecards]
 FILE = autosubmit/auto-scorecards.sh
 WALLCLOCK = 00:10
-PLATFORM = nord3v2
+PLATFORM = nord3v2 ## Change??
 PROCESSORS = 1
 DEPENDENCIES = verification
diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
index 0a46f75f..6086ecb2 100644
--- a/modules/Scorecards/Scorecards.R
+++ b/modules/Scorecards/Scorecards.R
@@ -1,13 +1,185 @@
-source('tools/libs.R')
-source('modules/Scorecards/R/plot_scorecards.R')
-
-args = commandArgs(trailingOnly = TRUE)
-recipe_file <- args[1]
-output_dir <- args[2]
-
-# Read recipe and set outdir
-recipe <- read_yaml(recipe_file)
-recipe$Run$output_dir <- output_dir
-recipe$Analysis$Datasets$System <- recipe$Analysis$Datasets$System[[1]]
-recipe$Analysis$Datasets$Reference <- recipe$Analysis$Datasets$Reference[[1]]
-recipe$Analysis$Variables <- recipe$Analysis$Variables[[1]]
+###############################################################################
+##################### SCORECARDS MODULE FOR SUNSET SUITE ######################
+###############################################################################
+
+##### Load source functions #####
+source('modules/Scorecards/tmp/LoadMetrics.R')
+source('modules/Scorecards/tmp/WeightedMetrics.R')
+source('modules/Scorecards/tmp/Utils.R')
+source('modules/Scorecards/tmp/SCTransform.R')
+source('modules/Scorecards/tmp/ScorecardsSingle.R')
+source('modules/Scorecards/tmp/ScorecardsMulti.R')
+source('modules/Scorecards/tmp/ScorecardsSystemDiff.R')
+source('modules/Scorecards/tmp/SCPlotScorecard.R') 
+
+
+## TODO: Change function name to 'Scorecards'?
+## Define function
+plot_scorecards <- function(recipe) {
+  
+  ## set parameters
+  input.path <- paste0(recipe$Run$output_dir, "/outputs/Skill/")
+  output.path <- paste0(recipe$Run$output_dir, "/plots/Scorecards/")
+  dir.create(output.path, recursive = T, showWarnings = F)
+  
+  system <- recipe$Analysis$Datasets$System$name
+  reference <- recipe$Analysis$Datasets$Reference$name
+  var <- recipe$Analysis$Variables$name
+  start.year <- as.numeric(recipe$Analysis$Time$hcst_start)
+  end.year <- as.numeric(recipe$Analysis$Time$hcst_end)
+  forecast.months <- recipe$Analysis$Time$ftime_min : recipe$Analysis$Time$ftime_max
+  
+  start.months <- 1:12 #recipe$Analysis$Workflow$Scorecards$start_months
+  
+  regions <- recipe$Analysis$Workflow$Scorecards$regions  
+  for (i in names(regions)){regions[[i]] <- unlist(regions[[i]])}
+  
+  metric.aggregation <- recipe$Analysis$Workflow$Scorecards$metric_aggregation
+  metrics.load <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Skill$metric), ", | |,"))
+  
+  ## Define skill scores in score aggregation has been requested
+  
+  if(metric.aggregation == 'score'){
+    if('rps' %in% metrics.load){
+      metrics.load <- c(metrics.load, 'rps_clim') 
+    }
+    if('crps' %in% metrics.load){
+      metrics.load <- c(metrics.load, 'crps_clim') 
+    }
+  }
+  
+  metrics.visualize <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Scorecards$metric), ", | |,"))
+  
+  ## Define skill scores in score aggregation has been requested
+  
+  if(metric.aggregation == 'score'){
+    if('rpss' %in% metrics.visualize){
+      metrics.visualize[metrics.visualize == 'rpss'] <- 'rpss_score_aggr'
+    }
+    if('crpss' %in% metrics.visualize){
+      metrics.visualize[metrics.visualize == 'crpss'] <- 'crpss_score_aggr'
+    }
+  }
+  
+  table.label <-  recipe$Analysis$Workflow$Scorecards$table_label
+  fileout.label <- recipe$Analysis$Workflow$Scorecards$fileout_label
+  legend.white.space <- recipe$Analysis$Workflow$Scorecards$legend_white_space 
+  col1.width <- recipe$Analysis$Workflow$Scorecards$col1_width
+  col2.width <- recipe$Analysis$Workflow$Scorecards$col2_width
+  calculate.diff <- recipe$Analysis$Workflow$Scorecards$calculate_diff
+  ncores <- recipe$Analysis$ncores
+  
+  ## Load data files
+  loaded_metrics <- LoadMetrics(system = system,
+                                reference = reference,
+                                var = var,
+                                start.year = start.year,
+                                end.year = end.year,
+                                metrics =  metrics.load,
+                                start.months = start.months,
+                                forecast.months = forecast.months,
+                                input.path = input.path)
+  
+  
+  if('region' %in% names(dim(loaded_metrics[[1]][[1]]))){
+    
+    ### Convert loaded metrics to array for allready aggregated data
+    metrics.dim <- attributes(loaded_metrics[[1]][[1]])$metrics 
+    forecast.months.dim <- attributes(loaded_metrics[[1]][[1]])$forecast.months 
+    start.months.dim <- attributes(loaded_metrics[[1]][[1]])$start.months 
+    regions.dim <- regions #list('NAO' = c(lon.min = -80, lon.max = 40, lat.min = 20, lat.max = 80))
+    
+    aggregated_metrics <- array(dim = c(system = length(loaded_metrics),
+                                        reference = length(loaded_metrics[[1]]),
+                                        metric = length(metrics.dim), 
+                                        time = length(forecast.months.dim), 
+                                        sdate = length(start.months.dim), 
+                                        region = length(regions.dim)))
+    
+    
+    for (sys in 1:length(names(loaded_metrics))){
+      for (ref in 1:length(names(loaded_metrics[[sys]]))){
+        aggregated_metrics[sys, ref, , , , ] <- s2dv::Reorder(data = loaded_metrics[[sys]][[ref]], order = c('metric','time','sdate','region'))
+      }
+    }
+    
+    ## Add attributes
+    attributes(aggregated_metrics)$metrics <- metrics.load
+    attributes(aggregated_metrics)$start.months <- attributes(loaded_metrics[[1]][[1]])$start.months
+    attributes(aggregated_metrics)$forecast.months <- attributes(loaded_metrics[[1]][[1]])$forecast.months
+    attributes(aggregated_metrics)$regions <- regions
+    attributes(aggregated_metrics)$system.name <- names(loaded_metrics)
+    attributes(aggregated_metrics)$reference.name <- names(loaded_metrics[[1]])
+    
+    
+  } else {
+    ## Calculate weighted mean of spatial aggregation
+    aggregated_metrics <- WeightedMetrics(loaded_metrics,
+                                          regions = regions,
+                                          metric.aggregation = metric.aggregation,
+                                          ncores = ncores)
+  }## close if
+
+  ## Create simple scorecard tables 
+  ## (one system only)
+  ## Metrics input must be in the same order as function SC_spatial_aggregation
+  scorecard_single <- ScorecardsSingle(data = aggregated_metrics,
+                                       system = system,
+                                       reference = reference,
+                                       var = var,
+                                       start.year = start.year,
+                                       end.year = end.year,
+                                       start.months = start.months,
+                                       forecast.months = forecast.months,
+                                       region.names = names(regions),
+                                       metrics = metrics.visualize,
+                                       table.label =  table.label,
+                                       fileout.label = fileout.label,
+                                       legend.white.space = legend.white.space, 
+                                       col1.width = col1.width,
+                                       col2.width = col2.width,
+                                       output.path = output.path)
+  
+  ## Create multi system/reference scorecard tables
+  ## (multiple systems with one reference or one system with multiple references)
+  ## Metrics input must be in the same order as function SC_spatial_aggregation
+  if(length(system) >  1 || length(reference) >  1){
+    scorecard_multi <- ScorecardsMulti(data = aggregated_metrics,
+                                       system = system,
+                                       reference = reference,
+                                       var = var,
+                                       start.year = start.year,
+                                       end.year = end.year,
+                                       start.months = start.months,
+                                       forecast.months = forecast.months,
+                                       region.names = attributes(regions)$names,
+                                       metrics = metrics.visualize,
+                                       table.label =  table.label,
+                                       fileout.label = fileout.label,
+                                       output.path = output.path)
+  } ## close if
+  
+  
+  if(calculate.diff == TRUE){
+    if(length(system) ==  2 || length(reference) ==  2){
+      scorecard_diff <- ScorecardsSystemDiff(data = aggregated_metrics,
+                                             system = system,
+                                             reference = reference,
+                                             var = var,
+                                             start.year = start.year,
+                                             end.year = end.year,
+                                             start.months = start.months,
+                                             forecast.months = forecast.months,
+                                             region.names = attributes(regions)$names,
+                                             metrics = metrics.visualize,
+                                             table.label = table.label,
+                                             fileout.label =  fileout.label,
+                                             legend.white.space = legend.white.space, 
+                                             col1.width = col1.width,
+                                             col2.width = col2.width,
+                                             output.path = output.path)
+    } else {stop ("Difference scorecard can only be computed with two systems or two references.")}
+  } ## close if on calculate.diff
+  
+}
+
diff --git a/modules/Scorecards/execute_scorecards.R b/modules/Scorecards/execute_scorecards.R
index b71d7f4f..95bf4bb9 100644
--- a/modules/Scorecards/execute_scorecards.R
+++ b/modules/Scorecards/execute_scorecards.R
@@ -1,5 +1,5 @@
 source('tools/libs.R')
-source('modules/Scorecards/R/plot_scorecards.R')
+source('modules/Scorecards/Scorecards.R')
 
 args = commandArgs(trailingOnly = TRUE)
 recipe_file <- args[1]
@@ -15,3 +15,4 @@ recipe$Analysis$Variables <- recipe$Analysis$Variables[[1]]
 
 # Plot Scorecards
 plot_scorecards(recipe)
+print("##### SCORECARDS SAVED TO THE OUTPUT DIRECTORY #####")
-- 
GitLab


From c1a73fd3e7d7f883a48a635301b93252beb15083 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 28 Jul 2023 15:39:49 +0200
Subject: [PATCH 39/84] Uncomment scorecards

---
 recipes/recipe_scorecards.yml | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/recipes/recipe_scorecards.yml b/recipes/recipe_scorecards.yml
index a50fd572..88b63b6e 100644
--- a/recipes/recipe_scorecards.yml
+++ b/recipes/recipe_scorecards.yml
@@ -63,20 +63,20 @@ Analysis:
       plots: skill_metrics
     Indicators:
       index: no # ? 
-    # Scorecards:
-    #   regions:
-    #     Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
-    #     Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
-    #     Extra-tropical SH : {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: -90}
-    #   start_months: NULL
-    #   metric: mean_bias enscorr rpss crpss enssprerr
-    #   metric_aggregation: 'score'
-    #   table_label: NULL
-    #   fileout_label: NULL
-    #   col1_width: NULL
-    #   col2_width: NULL
-    #   calculate_diff: FALSE
-    #   #output_path: /esarchive/scratch/nmilders/scorecards_images/testing
+    Scorecards:
+      regions:
+        Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
+        Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
+        Extra-tropical SH : {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: -90}
+      start_months: NULL
+      metric: mean_bias enscorr rpss crpss enssprerr
+      metric_aggregation: 'score'
+      table_label: NULL
+      fileout_label: NULL
+      col1_width: NULL
+      col2_width: NULL
+      calculate_diff: FALSE
+      #output_path: /esarchive/scratch/nmilders/scorecards_images/testing
   ncores: 7
   remove_NAs: no # bool, don't split
   Output_format: Scorecards # string, don't split
-- 
GitLab


From e4636673160e3aeedfb42815944e5de529da3964 Mon Sep 17 00:00:00 2001
From: vagudets <victoria.agudetse@bsc.es>
Date: Thu, 3 Aug 2023 10:36:10 +0200
Subject: [PATCH 40/84] Add 'execute' parameter to scorecards

---
 recipes/recipe_scorecards.yml     | 2 +-
 recipes/recipe_scorecards_vic.yml | 1 +
 tools/write_autosubmit_conf.R     | 5 ++++-
 3 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/recipes/recipe_scorecards.yml b/recipes/recipe_scorecards.yml
index 88b63b6e..434426d0 100644
--- a/recipes/recipe_scorecards.yml
+++ b/recipes/recipe_scorecards.yml
@@ -64,6 +64,7 @@ Analysis:
     Indicators:
       index: no # ? 
     Scorecards:
+      execute: yes # yes/no 
       regions:
         Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
         Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
@@ -76,7 +77,6 @@ Analysis:
       col1_width: NULL
       col2_width: NULL
       calculate_diff: FALSE
-      #output_path: /esarchive/scratch/nmilders/scorecards_images/testing
   ncores: 7
   remove_NAs: no # bool, don't split
   Output_format: Scorecards # string, don't split
diff --git a/recipes/recipe_scorecards_vic.yml b/recipes/recipe_scorecards_vic.yml
index 8ff72168..9abd5193 100644
--- a/recipes/recipe_scorecards_vic.yml
+++ b/recipes/recipe_scorecards_vic.yml
@@ -64,6 +64,7 @@ Analysis:
     Indicators:
       index: no # ? 
     Scorecards:
+      execute: yes # yes/no
       regions:
         Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
         Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
diff --git a/tools/write_autosubmit_conf.R b/tools/write_autosubmit_conf.R
index bcf2cfee..bfc708bc 100644
--- a/tools/write_autosubmit_conf.R
+++ b/tools/write_autosubmit_conf.R
@@ -51,7 +51,10 @@ write_autosubmit_conf <- function(recipe, nchunks) {
                                              "FAILED")
       }
       jobs$verification$PROCESSORS <- recipe$Run$auto_conf$processors_per_job # ncores?
-      if (!("Scorecards" %in% names(recipe$Analysis$Workflow))) {
+      # Only include Scorecards job if section exists in the recipe and 
+      # is set to 'execute: True'
+      if (!("Scorecards" %in% names(recipe$Analysis$Workflow)) || 
+	  (!recipe$Analysis$Workflow$Scorecards$execute)) {
         jobs$scorecards <- NULL
       }
       # Return to original list 
-- 
GitLab


From 26ee8979926a83955500a47d394382b0601e2090 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 3 Aug 2023 15:02:37 +0200
Subject: [PATCH 41/84] Test sbatch script

---
 launch.sh                                 | 46 +++++++++++++++++++++++
 recipes/tests/recipe_seasonal_example.yml |  2 +-
 run_parallel_workflow.sh                  | 14 +++++++
 3 files changed, 61 insertions(+), 1 deletion(-)
 create mode 100644 launch.sh
 create mode 100644 run_parallel_workflow.sh

diff --git a/launch.sh b/launch.sh
new file mode 100644
index 00000000..d837a369
--- /dev/null
+++ b/launch.sh
@@ -0,0 +1,46 @@
+#!/bin/bash
+
+# set -vx
+
+# Usage statement
+if [[ ( $@ == "--help") || $@ == "-h" ]]; then
+  echo "Usage: $0 <path_to_recipe> <path_to_script>"
+  exit 0
+fi
+
+# Check recipe and script
+recipe=$1
+script=$2
+# recipe=recipes/tests/recipe_seasonal_example.yml
+# script=modules/test_parallel_workflow.R
+
+if [ ! -f "$recipe" ]; then
+  echo "Could not file recipe file: $recipe"
+  exit 0
+fi
+
+if [ ! -f "$script" ]; then
+  echo "Could not find script file $script"
+  exit 0
+fi
+
+# Define tmp file to store necessary information
+tmpfile=$(mktemp /tmp/test_split.XXXXXX)
+
+# Create outdir and split recipes
+source MODULES
+Rscript split.R ${recipe} | tee $tmpfile
+outdir=$( tail -n 1 $tmpfile | sed 's/"//g' )
+outdir=($outdir)
+
+rm $tmpfile
+
+# Create directory for slurm output
+logdir=/esarchive/scratch/$(whoami)/tmp/auto-s2s-logs
+mkdir -p $logdir
+echo "Slurm job logs will be stored in $logdir"
+
+# Launch one job per atomic recipe
+for atomic_recipe in ${outdir[1]}/logs/recipes/atomic_recipe_??.yml; do
+  sbatch run_parallel_workflow.sh ${script} ${atomic_recipe}
+done
diff --git a/recipes/tests/recipe_seasonal_example.yml b/recipes/tests/recipe_seasonal_example.yml
index cb941f84..77912f1d 100644
--- a/recipes/tests/recipe_seasonal_example.yml
+++ b/recipes/tests/recipe_seasonal_example.yml
@@ -61,7 +61,7 @@ Run:
   filesystem: esarchive
   output_dir: /esarchive/scratch/vagudets/repos/auto-s2s/out-logs/
   code_dir: /esarchive/scratch/vagudets/repos/auto-s2s/
-  autosubmit: yes
+  autosubmit: no
   # fill only if using autosubmit
   auto_conf:
     script: /esarchive/scratch/vagudets/repos/auto-s2s/modules/test_parallel_workflow.R
diff --git a/run_parallel_workflow.sh b/run_parallel_workflow.sh
new file mode 100644
index 00000000..50ad070d
--- /dev/null
+++ b/run_parallel_workflow.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+
+#SBATCH -n 1
+#SBATCH -t 04:00:00
+#SBATCH -J med
+#SBATCH -e /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.err
+#SBATCH -o /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.out
+
+script=$1
+atomic_recipe=$2
+
+source MODULES
+
+Rscript ${script} ${atomic_recipe}
-- 
GitLab


From 297132c608007dc01b2902dd08c4d4bee9d9ff19 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 3 Aug 2023 16:06:53 +0200
Subject: [PATCH 42/84] Update bash scripts

---
 .../slurm_templates/run_parallel_workflow.sh  | 22 +++++++++++++++++++
 launch.sh                                     |  2 +-
 recipes/tests/recipe_seasonal_example.yml     |  4 ++--
 run_parallel_workflow.sh                      | 12 ++++++++--
 4 files changed, 35 insertions(+), 5 deletions(-)
 create mode 100644 example_scripts/slurm_templates/run_parallel_workflow.sh

diff --git a/example_scripts/slurm_templates/run_parallel_workflow.sh b/example_scripts/slurm_templates/run_parallel_workflow.sh
new file mode 100644
index 00000000..4d598c9e
--- /dev/null
+++ b/example_scripts/slurm_templates/run_parallel_workflow.sh
@@ -0,0 +1,22 @@
+#!/bin/bash
+
+#SBATCH -n 12
+#SBATCH -t 04:00:00
+#SBATCH -J SUNSET
+#SBATCH -C medmem
+#SBATCH -e /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.err
+#SBATCH -o /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.out
+
+# Slurm directive description:
+# -n: number of cores
+# -t: wallclock
+# -J: job name
+# -C: constraint (e.g. "medmem" for the medium memory nodes)
+# -e, -o: .err and .out file paths
+
+script=$1
+atomic_recipe=$2
+
+source MODULES
+
+Rscript ${script} ${atomic_recipe}
diff --git a/launch.sh b/launch.sh
index d837a369..e3abd64f 100644
--- a/launch.sh
+++ b/launch.sh
@@ -42,5 +42,5 @@ echo "Slurm job logs will be stored in $logdir"
 
 # Launch one job per atomic recipe
 for atomic_recipe in ${outdir[1]}/logs/recipes/atomic_recipe_??.yml; do
-  sbatch run_parallel_workflow.sh ${script} ${atomic_recipe}
+  sbatch example_scripts/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
 done
diff --git a/recipes/tests/recipe_seasonal_example.yml b/recipes/tests/recipe_seasonal_example.yml
index 85b33eba..33662383 100644
--- a/recipes/tests/recipe_seasonal_example.yml
+++ b/recipes/tests/recipe_seasonal_example.yml
@@ -30,7 +30,7 @@ Analysis:
     hcst_start: '2000'
     hcst_end: '2016'
     ftime_min: 1
-    ftime_max: 6
+    ftime_max: 3
   Region:
     - {latmin: -10, latmax: 10, lonmin: -10, lonmax: 10}
   Regrid:
@@ -56,7 +56,7 @@ Analysis:
       projection: cylindrical_equidistant
     Indicators:
       index: no
-  ncores: 8
+  ncores: 10
   remove_NAs: yes
   Output_format: S2S4E
 
diff --git a/run_parallel_workflow.sh b/run_parallel_workflow.sh
index 50ad070d..4d598c9e 100644
--- a/run_parallel_workflow.sh
+++ b/run_parallel_workflow.sh
@@ -1,11 +1,19 @@
 #!/bin/bash
 
-#SBATCH -n 1
+#SBATCH -n 12
 #SBATCH -t 04:00:00
-#SBATCH -J med
+#SBATCH -J SUNSET
+#SBATCH -C medmem
 #SBATCH -e /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.err
 #SBATCH -o /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.out
 
+# Slurm directive description:
+# -n: number of cores
+# -t: wallclock
+# -J: job name
+# -C: constraint (e.g. "medmem" for the medium memory nodes)
+# -e, -o: .err and .out file paths
+
 script=$1
 atomic_recipe=$2
 
-- 
GitLab


From 3709217c793f055d8be600d7a2bfabad41733a0f Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 4 Aug 2023 10:14:34 +0200
Subject: [PATCH 43/84] Add a TODO

---
 split.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/split.R b/split.R
index 6976b8a8..2cc0db7f 100755
--- a/split.R
+++ b/split.R
@@ -34,5 +34,6 @@ run_parameters <- divide_recipe(recipe)
 if (recipe$Run$autosubmit) {
   write_autosubmit_conf(recipe, run_parameters$n_atomic_recipes)
 } else {
+  ## TODO: Return code dir to set it as working directory
   run_parameters$outdir
 }
-- 
GitLab


From a160b7b833cc05fa33c91a0303f282f3864ff30d Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 4 Aug 2023 17:01:51 +0200
Subject: [PATCH 44/84] Remove recipes and script

---
 exec_ecvs_seasonal_oper.R     | 35 -----------------
 recipe_ecvs_seasonal_oper.yml | 73 -----------------------------------
 recipe_prlr_seasonal_oper.yml | 62 -----------------------------
 recipe_tas_seasonal_oper.yml  | 62 -----------------------------
 4 files changed, 232 deletions(-)
 delete mode 100644 exec_ecvs_seasonal_oper.R
 delete mode 100644 recipe_ecvs_seasonal_oper.yml
 delete mode 100644 recipe_prlr_seasonal_oper.yml
 delete mode 100644 recipe_tas_seasonal_oper.yml

diff --git a/exec_ecvs_seasonal_oper.R b/exec_ecvs_seasonal_oper.R
deleted file mode 100644
index 18f2e493..00000000
--- a/exec_ecvs_seasonal_oper.R
+++ /dev/null
@@ -1,35 +0,0 @@
-rm(list=ls())
-gc()
-setwd("/esarchive/scratch/nperez/git/auto-s2s")
-
-source("modules/Loading/Loading.R")
-source("modules/Calibration/Calibration.R")
-source("modules/Anomalies/Anomalies.R")
-source("modules/Skill/Skill.R")
-source("modules/Saving/Saving.R")
-source("modules/Visualization/Visualization.R")
-source("tools/prepare_outputs.R")
-
-# Read recipe
-args = commandArgs(trailingOnly = TRUE)
-recipe_file <- args[1]
-recipe <- read_atomic_recipe(recipe_file)
-## to test a single recipe:
-#recipe_file <- "recipe_ecvs_seasonal_oper.yml"
-#recipe <- prepare_outputs(recipe_file)
-
-# Load datasets
-data <- load_datasets(recipe)
-# Calibrate datasets
-data <- calibrate_datasets(recipe, data)
-# Compute skill metrics 
-skill_metrics <- compute_skill_metrics(recipe, data)
-# Compute percentiles and probability bins
-probabilities <- compute_probabilities(recipe, data)
-# Export all data to netCDF
-## TODO: Fix plotting
-# save_data(recipe, data, skill_metrics, probabilities)
-# Plot data
-plot_data(recipe, data, skill_metrics, probabilities, significance = T)
-
-
diff --git a/recipe_ecvs_seasonal_oper.yml b/recipe_ecvs_seasonal_oper.yml
deleted file mode 100644
index d47fd159..00000000
--- a/recipe_ecvs_seasonal_oper.yml
+++ /dev/null
@@ -1,73 +0,0 @@
-Description:
-  Author: nperez
-  Info: ECVs Oper ESS ECMWF SEAS5 Seasonal Forecast recipe (monthly mean, tas)
-
-Analysis:
-  Horizon: seasonal # Mandatory, str: either subseasonal, seasonal, or decadal
-  Variables:
-    - {name: tas, freq: monthly_mean}
-    - {name: prlr, freq: monthly_mean}
-  Datasets:
-    System:
-      - {name: ECMWF-SEAS5.1} # system21_m1 system35c3s
-    Multimodel: no # Mandatory, bool: Either yes/true or no/false
-    Reference:
-      - {name: ERA5} # Mandatory, str: Reference codename. See docu.
-  Time:
-    sdate: '0701' ## MMDD
-    fcst_year: '2023' # Optional, int: Forecast year 'YYYY'
-    hcst_start: '1993' # Mandatory, int: Hindcast start year 'YYYY'
-    hcst_end: '2016' # Mandatory, int: Hindcast end year 'YYYY'
-    ftime_min: 1 # Mandatory, int: First leadtime time step in months 
-    ftime_max: 6 # Mandatory, int: Last leadtime time step in months
-  Region:
-   - {name: "UE", latmin: 20, latmax: 80, lonmin: -20, lonmax: 40}
-  Regrid:
-    method: bilinear # Mandatory, str: Interpolation method. See docu.
-    type: "to_system"
-    #type: /esarchive/scratch/nmilders/gitlab/git_clones/auto-s2s/conf/grid_description.txt #'r360x180' # Mandatory, str: to_system, to_reference, or CDO-accepted grid.
-  Workflow:
-    Anomalies:
-      compute: no
-      cross_validation: no
-      save: none
-    Calibration:
-      method: evmos # Mandatory, str: Calibration method. See docu.
-      cross_validation: yes
-      save: none
-    Skill:
-      metric: mean_bias EnsCorr rpss crpss bss10 bss90
-      save: 'all'
-      cross_validation: yes
-    Probabilities:
-      percentiles: [[1/3, 2/3], [1/10, 9/10]] # frac: Quantile thresholds.
-      save: 'all'
-    Indicators:
-      index: no
-    Visualization:
-      plots: skill_metrics forecast_ensemble_mean most_likely_terciles
-      multi_panel: no
-      projection: lambert_europe
-  ncores: 4 # Optional, int: number of cores, defaults to 1
-  remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
-  Output_format: scorecards
-  logo: yes
-Run:
-  Loglevel: INFO
-  Terminal: yes
-  filesystem: esarchive
-  output_dir: /esarchive/scratch/nperez/cs_oper/seasonal/ # replace with the directory where you want to save the outputs
-  code_dir: /esarchive/scratch/nperez/git/auto-s2s/ # replace with the directory where your code is
-  autosubmit: yes
-  # fill only if using autosubmit
-  auto_conf:
-    script: /esarchive/scratch/nperez/git/auto-s2s/exec_ecvs_seasonal_oper.R # replace with the path to your script
-    expid: a68v # replace with your EXPID
-    hpc_user: bsc32339 # replace with your hpc username
-    wallclock: 02:00 # hh:mm
-    processors_per_job: 4 
-    platform: nord3v2 
-    email_notifications: yes # enable/disable email notifications. Change it if you want to.
-    email_address: nuria.perez@bsc.es # replace with your email address
-    notify_completed: yes # notify me by email when a job finishes
-    notify_failed: yes # notify me by email when a job fails
diff --git a/recipe_prlr_seasonal_oper.yml b/recipe_prlr_seasonal_oper.yml
deleted file mode 100644
index fb6d1a1c..00000000
--- a/recipe_prlr_seasonal_oper.yml
+++ /dev/null
@@ -1,62 +0,0 @@
-Description:
-  Author: nperez
-  Info: ECVs Oper ESS ECMWF SEAS5 Seasonal Forecast recipe (monthly mean, tas)
-
-Analysis:
-  Horizon: seasonal # Mandatory, str: either subseasonal, seasonal, or decadal
-  Variables:
-    name: prlr
-    freq: monthly_mean
-  Datasets:
-    System:
-      name: ECMWF-SEAS5.1 # Mandatory, str: system5c3s system21_m1 system35c3s
-    Multimodel: no # Mandatory, bool: Either yes/true or no/false
-    Reference:
-      name: ERA5 # Mandatory, str: Reference codename. See docu.
-  Time:
-    sdate: '0701' ## MMDD
-    fcst_year: '2023' # Optional, int: Forecast year 'YYYY'
-    hcst_start: '1993' # Mandatory, int: Hindcast start year 'YYYY'
-    hcst_end: '2016' # Mandatory, int: Hindcast end year 'YYYY'
-    ftime_min: 1 # Mandatory, int: First leadtime time step in months 
-    ftime_max: 6 # Mandatory, int: Last leadtime time step in months
-  Region:
-    latmin: 20 # Mandatory, int: minimum latitude
-    latmax: 80 # Mandatory, int: maximum latitude
-    lonmin: -20 # Mandatory, int: minimum longitude
-    lonmax: 40 # Mandatory, int: maximum longitude
-  Regrid:
-    method: bilinear # Mandatory, str: Interpolation method. See docu.
-    type: "to_system"
-    #type: /esarchive/scratch/nmilders/gitlab/git_clones/auto-s2s/conf/grid_description.txt #'r360x180' # Mandatory, str: to_system, to_reference, or CDO-accepted grid.
-  Workflow:
-    Anomalies:
-      compute: no
-      cross_validation: no
-      save: none
-    Calibration:
-      method: evmos # Mandatory, str: Calibration method. See docu.
-      cross_validation: yes
-      save: none
-    Skill:
-      metric: mean_bias EnsCorr rpss crpss bss10 bss90
-      save: 'all'
-      cross_validation: yes
-    Probabilities:
-      percentiles: [[1/3, 2/3], [1/10, 9/10]] # frac: Quantile thresholds.
-      save: 'all'
-    Indicators:
-      index: no
-    Visualization:
-      plots: skill_metrics forecast_ensemble_mean most_likely_terciles
-      multi_panel: no
-      dots: both
-  ncores: 4 # Optional, int: number of cores, defaults to 1
-  remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
-  Output_format: scorecards
-  logo: yes
-Run:
-  Loglevel: INFO
-  Terminal: TRUE
-  output_dir: /esarchive/scratch/nperez/cs_oper/
-  code_dir: /esarchive/scratch/nperez/git/s2s-suite/
diff --git a/recipe_tas_seasonal_oper.yml b/recipe_tas_seasonal_oper.yml
deleted file mode 100644
index 75918265..00000000
--- a/recipe_tas_seasonal_oper.yml
+++ /dev/null
@@ -1,62 +0,0 @@
-Description:
-  Author: nperez
-  Info: ECVs Oper ESS ECMWF SEAS5 Seasonal Forecast recipe (monthly mean, tas)
-
-Analysis:
-  Horizon: seasonal # Mandatory, str: either subseasonal, seasonal, or decadal
-  Variables:
-    name: tas
-    freq: monthly_mean
-  Datasets:
-    System:
-      name: ECMWF-SEAS5.1 # Mandatory, str: system5c3s system21_m1 system35c3s
-    Multimodel: no # Mandatory, bool: Either yes/true or no/false
-    Reference:
-      name: ERA5 # Mandatory, str: Reference codename. See docu.
-  Time:
-    sdate: '0601' ## MMDD
-    fcst_year: '2023' # Optional, int: Forecast year 'YYYY'
-    hcst_start: '1993' # Mandatory, int: Hindcast start year 'YYYY'
-    hcst_end: '2016' # Mandatory, int: Hindcast end year 'YYYY'
-    ftime_min: 1 # Mandatory, int: First leadtime time step in months 
-    ftime_max: 6 # Mandatory, int: Last leadtime time step in months
-  Region:
-    latmin: 20 # Mandatory, int: minimum latitude
-    latmax: 80 # Mandatory, int: maximum latitude
-    lonmin: -20 # Mandatory, int: minimum longitude
-    lonmax: 40 # Mandatory, int: maximum longitude
-  Regrid:
-    method: bilinear # Mandatory, str: Interpolation method. See docu.
-    type: "to_system"
-    #type: /esarchive/scratch/nmilders/gitlab/git_clones/auto-s2s/conf/grid_description.txt #'r360x180' # Mandatory, str: to_system, to_reference, or CDO-accepted grid.
-  Workflow:
-    Anomalies:
-      compute: no
-      cross_validation: no
-      save: none
-    Calibration:
-      method: evmos # Mandatory, str: Calibration method. See docu.
-      cross_validation: yes
-      save: none
-    Skill:
-      metric: mean_bias EnsCorr rpss crpss bss10 bss90
-      save: 'all'
-      cross_validation: yes
-    Probabilities:
-      percentiles: [[1/3, 2/3], [1/10, 9/10]] # frac: Quantile thresholds.
-      save: 'all'
-    Indicators:
-      index: no
-    Visualization:
-      plots: skill_metrics forecast_ensemble_mean most_likely_terciles
-      multi_panel: no
-      mask_terciles: both
-  ncores: 4 # Optional, int: number of cores, defaults to 1
-  remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
-  Output_format: scorecards
-  logo: yes
-Run:
-  Loglevel: INFO
-  Terminal: TRUE
-  output_dir: /esarchive/scratch/nperez/cs_oper/
-  code_dir: /esarchive/scratch/nperez/git/s2s-suite/
-- 
GitLab


From d918d658dfb33c47c9c6e5e3bac8c92c00e710ba Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 4 Aug 2023 17:17:04 +0200
Subject: [PATCH 45/84] Add setting of working directory to launch_SUNSET.sh
 and modify slurm log output to make it portable

---
 .../slurm_templates/run_parallel_workflow.sh  |  6 +--
 launch.sh                                     | 46 ----------------
 launch_SUNSET.sh                              | 52 +++++++++++++++++++
 split.R                                       | 12 +++--
 4 files changed, 63 insertions(+), 53 deletions(-)
 delete mode 100644 launch.sh
 create mode 100644 launch_SUNSET.sh

diff --git a/example_scripts/slurm_templates/run_parallel_workflow.sh b/example_scripts/slurm_templates/run_parallel_workflow.sh
index 4d598c9e..7364ee9e 100644
--- a/example_scripts/slurm_templates/run_parallel_workflow.sh
+++ b/example_scripts/slurm_templates/run_parallel_workflow.sh
@@ -1,11 +1,9 @@
 #!/bin/bash
 
 #SBATCH -n 12
-#SBATCH -t 04:00:00
+#SBATCH -t 10:00:00
 #SBATCH -J SUNSET
 #SBATCH -C medmem
-#SBATCH -e /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.err
-#SBATCH -o /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.out
 
 # Slurm directive description:
 # -n: number of cores
@@ -14,6 +12,8 @@
 # -C: constraint (e.g. "medmem" for the medium memory nodes)
 # -e, -o: .err and .out file paths
 
+set -vx
+
 script=$1
 atomic_recipe=$2
 
diff --git a/launch.sh b/launch.sh
deleted file mode 100644
index e3abd64f..00000000
--- a/launch.sh
+++ /dev/null
@@ -1,46 +0,0 @@
-#!/bin/bash
-
-# set -vx
-
-# Usage statement
-if [[ ( $@ == "--help") || $@ == "-h" ]]; then
-  echo "Usage: $0 <path_to_recipe> <path_to_script>"
-  exit 0
-fi
-
-# Check recipe and script
-recipe=$1
-script=$2
-# recipe=recipes/tests/recipe_seasonal_example.yml
-# script=modules/test_parallel_workflow.R
-
-if [ ! -f "$recipe" ]; then
-  echo "Could not file recipe file: $recipe"
-  exit 0
-fi
-
-if [ ! -f "$script" ]; then
-  echo "Could not find script file $script"
-  exit 0
-fi
-
-# Define tmp file to store necessary information
-tmpfile=$(mktemp /tmp/test_split.XXXXXX)
-
-# Create outdir and split recipes
-source MODULES
-Rscript split.R ${recipe} | tee $tmpfile
-outdir=$( tail -n 1 $tmpfile | sed 's/"//g' )
-outdir=($outdir)
-
-rm $tmpfile
-
-# Create directory for slurm output
-logdir=/esarchive/scratch/$(whoami)/tmp/auto-s2s-logs
-mkdir -p $logdir
-echo "Slurm job logs will be stored in $logdir"
-
-# Launch one job per atomic recipe
-for atomic_recipe in ${outdir[1]}/logs/recipes/atomic_recipe_??.yml; do
-  sbatch example_scripts/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
-done
diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
new file mode 100644
index 00000000..56367010
--- /dev/null
+++ b/launch_SUNSET.sh
@@ -0,0 +1,52 @@
+#!/bin/bash
+
+# Usage statement
+if [[ ( $@ == "--help") || $@ == "-h" ]]; then
+  echo "Usage: $0 <path_to_recipe> <path_to_script>"
+  exit 0
+fi
+
+# Check recipe and script
+recipe=$1
+script=$2
+# recipe=recipes/tests/recipe_seasonal_example.yml
+# script=modules/test_parallel_workflow.R
+
+if [ ! -f "$recipe" ]; then
+  echo "Could not file recipe file: $recipe"
+  exit 0
+fi
+
+if [ ! -f "$script" ]; then
+  echo "Could not find script file: $script"
+  exit 0
+fi
+
+# Define tmp file to store necessary information
+tmpfile=$(mktemp ${TMPDIR-/tmp}/SUNSET.XXXXXX)
+
+# Create outdir and split recipes
+source MODULES
+Rscript split.R ${recipe} --tmpfile $tmpfile
+codedir=$( head -1 $tmpfile | tail -1 )
+outdir=$( head -2 $tmpfile | tail -1 )
+
+rm $tmpfile
+
+# Create directory for slurm output
+# logdir=${TMPDIR-/tmp}/SUNSET_slurm_logs_$(whoami)/
+logdir=${codedir}/out-logs/slurm_logs/
+mkdir -p $logdir
+echo "Slurm job logs will be stored in $logdir"
+
+# Launch one job per atomic recipe
+cd $codedir
+job_number=0
+for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
+  # sbatch example_scripts/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
+  job_number=$(($job_number + 1))
+  job_name=$(basename $outdir)_$(printf %02d $job_number)
+  outfile=${logdir}/run-${job_name}.out
+  errfile=${logdir}/run-${job_name}.err
+  sbatch --output=$outfile --error=$errfile example_scripts/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
+done
diff --git a/split.R b/split.R
index 2cc0db7f..5b42d986 100755
--- a/split.R
+++ b/split.R
@@ -9,11 +9,12 @@ configuration is also written in the folder of the specified experiment.
 Instructions on how to run the experiment will appear in the terminal.
 
 Usage:
-    split.R <recipe> [--disable_unique_ID]
+    split.R <recipe> [--disable_unique_ID] [--tmpfile=<file_path>]
 
 Options:
     -h --help  Show usage.
     --disable_unique_ID  Do not add a unique ID to the output folder name.
+    --tmpfile=<file_path>  Temporary file to store output and code directories. Handled by launch.sh.
 
 Arguments:
     recipe  path to the recipe."
@@ -31,9 +32,12 @@ recipe <- prepare_outputs(recipe_file = arguments$recipe,
 
 ## TODO: Add autosubmit yes/no to the parameters?
 run_parameters <- divide_recipe(recipe)
+
 if (recipe$Run$autosubmit) {
   write_autosubmit_conf(recipe, run_parameters$n_atomic_recipes)
-} else {
-  ## TODO: Return code dir to set it as working directory
-  run_parameters$outdir
+} else if (!is.null(arguments$tmpfile)) {
+  sink(arguments$tmpfile, append = FALSE)
+  cat(paste0(recipe$Run$code_dir, "\n"))
+  cat(paste0(run_parameters$outdir, "\n"))
+  sink()
 }
-- 
GitLab


From b8dd727847731afd46e47395bda5642c5d1a4f9d Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 4 Aug 2023 17:23:57 +0200
Subject: [PATCH 46/84] remove script

---
 run_parallel_workflow.sh | 22 ----------------------
 1 file changed, 22 deletions(-)
 delete mode 100644 run_parallel_workflow.sh

diff --git a/run_parallel_workflow.sh b/run_parallel_workflow.sh
deleted file mode 100644
index 4d598c9e..00000000
--- a/run_parallel_workflow.sh
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/bin/bash
-
-#SBATCH -n 12
-#SBATCH -t 04:00:00
-#SBATCH -J SUNSET
-#SBATCH -C medmem
-#SBATCH -e /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.err
-#SBATCH -o /esarchive/scratch/%u/tmp/auto-s2s-logs/run-%j.out
-
-# Slurm directive description:
-# -n: number of cores
-# -t: wallclock
-# -J: job name
-# -C: constraint (e.g. "medmem" for the medium memory nodes)
-# -e, -o: .err and .out file paths
-
-script=$1
-atomic_recipe=$2
-
-source MODULES
-
-Rscript ${script} ${atomic_recipe}
-- 
GitLab


From 39ef6faf373ecbd64eb45e12e804f62f28141b6f Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 4 Aug 2023 17:40:16 +0200
Subject: [PATCH 47/84] Move script

---
 .../slurm_templates/run_parallel_workflow.sh                 | 5 ++---
 launch_SUNSET.sh                                             | 3 +--
 2 files changed, 3 insertions(+), 5 deletions(-)
 rename {example_scripts => conf}/slurm_templates/run_parallel_workflow.sh (80%)

diff --git a/example_scripts/slurm_templates/run_parallel_workflow.sh b/conf/slurm_templates/run_parallel_workflow.sh
similarity index 80%
rename from example_scripts/slurm_templates/run_parallel_workflow.sh
rename to conf/slurm_templates/run_parallel_workflow.sh
index 7364ee9e..530b32d4 100644
--- a/example_scripts/slurm_templates/run_parallel_workflow.sh
+++ b/conf/slurm_templates/run_parallel_workflow.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-#SBATCH -n 12
-#SBATCH -t 10:00:00
+#SBATCH -n 8
+#SBATCH -t 01:00:00
 #SBATCH -J SUNSET
 #SBATCH -C medmem
 
@@ -10,7 +10,6 @@
 # -t: wallclock
 # -J: job name
 # -C: constraint (e.g. "medmem" for the medium memory nodes)
-# -e, -o: .err and .out file paths
 
 set -vx
 
diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index 56367010..febac36e 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -43,10 +43,9 @@ echo "Slurm job logs will be stored in $logdir"
 cd $codedir
 job_number=0
 for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
-  # sbatch example_scripts/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
   job_number=$(($job_number + 1))
   job_name=$(basename $outdir)_$(printf %02d $job_number)
   outfile=${logdir}/run-${job_name}.out
   errfile=${logdir}/run-${job_name}.err
-  sbatch --output=$outfile --error=$errfile example_scripts/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
+  sbatch --output=$outfile --error=$errfile conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
 done
-- 
GitLab


From d45152fc4d0ad8bf697d2399b152c20845cc9e9e Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Mon, 7 Aug 2023 11:38:08 +0200
Subject: [PATCH 48/84] Add wallclock time and custom directives as args for
 launch_SUNSET.sh

---
 conf/slurm_templates/run_parallel_workflow.sh |  6 +-
 launch_SUNSET.sh                              | 68 ++++++++++++++++---
 2 files changed, 60 insertions(+), 14 deletions(-)

diff --git a/conf/slurm_templates/run_parallel_workflow.sh b/conf/slurm_templates/run_parallel_workflow.sh
index 530b32d4..d821d158 100644
--- a/conf/slurm_templates/run_parallel_workflow.sh
+++ b/conf/slurm_templates/run_parallel_workflow.sh
@@ -1,15 +1,11 @@
 #!/bin/bash
 
 #SBATCH -n 8
-#SBATCH -t 01:00:00
-#SBATCH -J SUNSET
-#SBATCH -C medmem
+#SBATCH -J SUNSET_verification
 
 # Slurm directive description:
 # -n: number of cores
-# -t: wallclock
 # -J: job name
-# -C: constraint (e.g. "medmem" for the medium memory nodes)
 
 set -vx
 
diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index febac36e..eefb33cf 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -2,24 +2,71 @@
 
 # Usage statement
 if [[ ( $@ == "--help") || $@ == "-h" ]]; then
-  echo "Usage: $0 <path_to_recipe> <path_to_script>"
+  echo "Usage: $0 <path_to_recipe> <path_to_script> --wallclock=<hh:mm:ss> --custom_directives=<custom_slurm_directives>"
   exit 0
 fi
 
-# Check recipe and script
+function usage
+{
+  echo "Usage: $0 <path_to_recipe> <path_to_script> --wallclock=<hh:mm:ss> --custom_directives=<custom_slurm_directives>"
+  echo " "
+  echo "  <path_to_recipe>: Path to the SUNSET recipe."
+  echo " "
+  echo "  <path_to_script>: Path to the user-defined script."
+  echo " "
+  echo " --wallclock=<hh:mm:ss>: Maximum execution time for the jobs."
+  echo "                         Default is 02:00:00."
+  echo " "
+  echo " --custom_directives=<custom_directives>: Custom directives sbatch."
+  echo "                                          E.g. '--constraint=medmem'."
+}
+
+
+# Assign arguments
 recipe=$1
 script=$2
 # recipe=recipes/tests/recipe_seasonal_example.yml
 # script=modules/test_parallel_workflow.R
 
+for i in "$@"; do
+  case $i in
+    --wallclock*)
+      export wallclock=`echo $1 | sed -e 's/^[^=]*=//g'`
+      shift
+      ;;
+    --custom_directives*)
+      export custom_directives=`echo $1 | sed -e 's/^[^=]*=//g'`
+      shift
+      ;;
+    -h|--help)
+      usage
+      exit 0
+      shift
+      ;;
+    *)
+      shift
+      ;;
+  esac
+done
+# Check recipe
 if [ ! -f "$recipe" ]; then
-  echo "Could not file recipe file: $recipe"
-  exit 0
+  echo "Could not find the recipe file: $recipe"
+  usage
+  exit 1
 fi
-
+# Check script
 if [ ! -f "$script" ]; then
-  echo "Could not find script file: $script"
-  exit 0
+  echo "Could not find the script file: $script"
+  usage
+  exit 1
+fi
+# Assign default wallclock time if not specified
+if [ -z "$wallclock" ]; then
+  wallclock="02:00:00"
+fi
+# Assign empty custom directives if not specified
+if [ -z "$custom_directives" ]; then
+  custom_directives=""
 fi
 
 # Define tmp file to store necessary information
@@ -28,13 +75,14 @@ tmpfile=$(mktemp ${TMPDIR-/tmp}/SUNSET.XXXXXX)
 # Create outdir and split recipes
 source MODULES
 Rscript split.R ${recipe} --tmpfile $tmpfile
+# Retrieve working directory
 codedir=$( head -1 $tmpfile | tail -1 )
+# Retrieve output directory
 outdir=$( head -2 $tmpfile | tail -1 )
 
 rm $tmpfile
 
 # Create directory for slurm output
-# logdir=${TMPDIR-/tmp}/SUNSET_slurm_logs_$(whoami)/
 logdir=${codedir}/out-logs/slurm_logs/
 mkdir -p $logdir
 echo "Slurm job logs will be stored in $logdir"
@@ -47,5 +95,7 @@ for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
   job_name=$(basename $outdir)_$(printf %02d $job_number)
   outfile=${logdir}/run-${job_name}.out
   errfile=${logdir}/run-${job_name}.err
-  sbatch --output=$outfile --error=$errfile conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
+  sbatch --output=$outfile --error=$errfile --time=$wallclock $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
 done
+
+## TODO: Retrieve jobids and list them as dependencies for scorecards job?
-- 
GitLab


From 44098cd80e784cde37474abf408fe678d547eed5 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 31 Aug 2023 11:46:17 +0200
Subject: [PATCH 49/84] Add cpus option

---
 conf/slurm_templates/run_parallel_workflow.sh |  2 --
 launch_SUNSET.sh                              | 19 +++++++++++++++----
 2 files changed, 15 insertions(+), 6 deletions(-)

diff --git a/conf/slurm_templates/run_parallel_workflow.sh b/conf/slurm_templates/run_parallel_workflow.sh
index d821d158..461ee7e2 100644
--- a/conf/slurm_templates/run_parallel_workflow.sh
+++ b/conf/slurm_templates/run_parallel_workflow.sh
@@ -1,10 +1,8 @@
 #!/bin/bash
 
-#SBATCH -n 8
 #SBATCH -J SUNSET_verification
 
 # Slurm directive description:
-# -n: number of cores
 # -J: job name
 
 set -vx
diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index eefb33cf..ec896a2f 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -17,7 +17,11 @@ function usage
   echo " --wallclock=<hh:mm:ss>: Maximum execution time for the jobs."
   echo "                         Default is 02:00:00."
   echo " "
-  echo " --custom_directives=<custom_directives>: Custom directives sbatch."
+  echo " --cpus=<number_of_cpus>: CPUs (cores) to be requested for each job."
+  echo "                          Corresponds to the --cpus-per-task parameter"
+  echo "                          in sbatch. The default number is 1."
+  echo " "
+  echo " --custom_directives=<custom_directives>: Custom directives for sbatch."
   echo "                                          E.g. '--constraint=medmem'."
 }
 
@@ -25,8 +29,6 @@ function usage
 # Assign arguments
 recipe=$1
 script=$2
-# recipe=recipes/tests/recipe_seasonal_example.yml
-# script=modules/test_parallel_workflow.R
 
 for i in "$@"; do
   case $i in
@@ -34,6 +36,10 @@ for i in "$@"; do
       export wallclock=`echo $1 | sed -e 's/^[^=]*=//g'`
       shift
       ;;
+    --cpus*)
+      export cpus=`echo $1 | sed -e 's/^[^=]*=//g'`
+      shift
+      ;;
     --custom_directives*)
       export custom_directives=`echo $1 | sed -e 's/^[^=]*=//g'`
       shift
@@ -48,6 +54,7 @@ for i in "$@"; do
       ;;
   esac
 done
+
 # Check recipe
 if [ ! -f "$recipe" ]; then
   echo "Could not find the recipe file: $recipe"
@@ -64,6 +71,10 @@ fi
 if [ -z "$wallclock" ]; then
   wallclock="02:00:00"
 fi
+# Assign default number of cores if not specified
+if [ -z "$cpus" ]; then
+  cpus=1
+fi
 # Assign empty custom directives if not specified
 if [ -z "$custom_directives" ]; then
   custom_directives=""
@@ -95,7 +106,7 @@ for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
   job_name=$(basename $outdir)_$(printf %02d $job_number)
   outfile=${logdir}/run-${job_name}.out
   errfile=${logdir}/run-${job_name}.err
-  sbatch --output=$outfile --error=$errfile --time=$wallclock $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
+  sbatch --output=$outfile --error=$errfile --time=$wallclock --cpus-per-task=$cpus $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
 done
 
 ## TODO: Retrieve jobids and list them as dependencies for scorecards job?
-- 
GitLab


From e1f3f664a224b59d0937fe16c10a2b58f31672b3 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 31 Aug 2023 11:48:11 +0200
Subject: [PATCH 50/84] Remove as.s2dv_cube.R local copy

---
 tools/tmp/as.s2dv_cube.R | 184 ---------------------------------------
 1 file changed, 184 deletions(-)
 delete mode 100644 tools/tmp/as.s2dv_cube.R

diff --git a/tools/tmp/as.s2dv_cube.R b/tools/tmp/as.s2dv_cube.R
deleted file mode 100644
index 019f69a2..00000000
--- a/tools/tmp/as.s2dv_cube.R
+++ /dev/null
@@ -1,184 +0,0 @@
-#'Conversion of 'startR_array' or 'list' objects to 's2dv_cube'
-#'
-#'This function converts data loaded using startR package or s2dverification Load function into a 's2dv_cube' object.
-#'
-#'@author Perez-Zanon Nuria, \email{nuria.perez@bsc.es}
-#'@author Nicolau Manubens, \email{nicolau.manubens@bsc.es}
-#'
-#'@param object an object of class 'startR_array' generated from function \code{Start} from startR package (version 0.1.3 from earth.bsc.es/gitlab/es/startR) or a list output from function \code{Load} from s2dverification package.
-#'
-#'@return The function returns a 's2dv_cube' object to be easily used with functions \code{CST} from CSTools package.
-#'
-#'@seealso \code{\link{s2dv_cube}}, \code{\link[s2dverification]{Load}}, \code{\link[startR]{Start}} and \code{\link{CST_Load}}
-#'@examples
-#'\dontrun{
-#'library(startR)
-#'repos <- '/esarchive/exp/ecmwf/system5_m1/monthly_mean/$var$_f6h/$var$_$sdate$.nc'
-#'data <- Start(dat = repos,
-#'              var = 'tas',
-#'              sdate = c('20170101', '20180101'),
-#'              ensemble = indices(1:20),
-#'              time = 'all',
-#'              latitude = 'all',
-#'              longitude = indices(1:40),
-#'              return_vars = list(latitude = 'dat', longitude = 'dat', time = 'sdate'),
-#'              retrieve = TRUE)
-#'data <- as.s2dv_cube(data)
-#'class(data)
-#'startDates <- c('20001101', '20011101', '20021101',
-#'                 '20031101', '20041101', '20051101')
-#'data <- Load(var = 'tas', exp = 'system5c3s', 
-#'             nmember = 15, sdates = startDates,
-#'             leadtimemax = 3, latmin = 27, latmax = 48,
-#'             lonmin = -12, lonmax = 40, output = 'lonlat')
-#'data <- as.s2dv_cube(data)
-#'class(data)
-#'}
-#'@export
-as.s2dv_cube <- function(object) {
-  if (is.list(object)) {
-    if (is.null(object) || (is.null(object$mod) && is.null(object$obs))) {
-      stop("The s2dverification::Load call did not return any data.")
-    }
-    obs <- object
-    obs$mod <- NULL
-    object$obs <- NULL
-    names(object)[[1]] <- 'data'
-    names(obs)[[1]] <- 'data'
-    remove_matches <- function(v, patterns) {
-      if (length(v) > 0) {
-        matches <- c()
-        for (pattern in patterns) {
-          matches <- c(matches, which(grepl(pattern, v)))
-        }
-        if (length(matches) > 0) {
-          v <- v[-matches]
-        }
-      }
-      v
-    }
-
-    harmonize_patterns <- function(v) {
-      matches <- grepl('.*\\.nc$', v)
-      if (sum(!matches) > 0) {
-        match_indices <- which(!matches)
-        v[match_indices] <- sapply(v[match_indices], function(x) paste0(x, '*'))
-      }
-      v <- glob2rx(v)
-      v <- gsub('\\$.*\\$', '*', v)
-      v
-    }
-
-    if (!is.null(obs$data)) {
-      obs$Datasets$exp <- NULL
-      obs$Datasets <- obs$Datasets$obs
-      obs_path_patterns <- sapply(obs$Datasets, function(x) attr(x, 'source'))
-      obs_path_patterns <- harmonize_patterns(obs_path_patterns)
-    }
-
-    if (!is.null(object$data)) {
-      object$Datasets$obs <- NULL
-      object$Datasets <- object$Datasets$exp
-      exp_path_patterns <- sapply(object$Datasets, function(x) attr(x, 'source'))
-      exp_path_patterns <- harmonize_patterns(exp_path_patterns)
-    }
-
-    if (!is.null(obs$data) && !is.null(object$data)) {
-      obs$source_files <- remove_matches(obs$source_files,
-                                         exp_path_patterns)
-      obs$not_found_files <- remove_matches(obs$not_found_files,
-                                            exp_path_patterns)
-  
-      object$source_files <- remove_matches(object$source_files,
-                                            obs_path_patterns)
-      object$not_found_files <- remove_matches(object$not_found_files,
-                                               obs_path_patterns)
-    }  
-
-    result <- list()
-    if (!is.null(object$data)) {
-      class(object) <- 's2dv_cube'
-      result$exp <- object
-    }
-    if (!is.null(obs$data)) {
-      class(obs) <- 's2dv_cube'
-      result$obs <- obs
-    }
-    if (is.list(result)) {
-        if (is.null(result$exp)) {
-            result <- result$obs
-        } else if (is.null(result$obs)) {
-            result <- result$exp
-        } else {
-            warning("The output is a list of two 's2dv_cube' objects",
-                    " corresponding to 'exp' and 'obs'.")
-        }
-    }
- 
-  } else if (class(object) == 'startR_array') {
-    result <- list()
-    result$data <- as.vector(object)
-    dim(result$data) <- dim(object)
-
-    dat_attr_names <- names(attributes(object)$Variables$dat1)
-    common_attr_names <- names(attributes(object)$Variables$common)
-    # $lon
-    known_lon_names <- s2dv:::.KnownLonNames()
-    if (!is.null(dat_attr_names[which(dat_attr_names %in% known_lon_names)]) & 
-        !identical(dat_attr_names[which(dat_attr_names %in% known_lon_names)], character(0))) {
-      result$lon <- attributes(object)$Variables$dat1[[dat_attr_names[which(dat_attr_names %in% known_lon_names)]]]
-    } else if (!is.null(common_attr_names[which(common_attr_names %in% known_lon_names)]) & 
-               !identical(common_attr_names[which(common_attr_names %in% known_lon_names)], character(0))) {
-      result$lon <- attributes(object)$Variables$common[[common_attr_names[which(common_attr_names %in% known_lon_names)]]]
-    } else {
-      warning("'lon' is not found in this object.")
-      result$lon <- NULL
-    }
-    # $lat
-    known_lat_names <- s2dv:::.KnownLatNames()
-    if (!is.null(dat_attr_names[which(dat_attr_names %in% known_lat_names)]) & 
-        !identical(dat_attr_names[which(dat_attr_names %in% known_lat_names)], character(0))) {
-      result$lat <- attributes(object)$Variables$dat1[[dat_attr_names[which(dat_attr_names %in% known_lat_names)]]]
-    } else if (!is.null(common_attr_names[which(common_attr_names %in% known_lat_names)]) &
-               !identical(common_attr_names[which(common_attr_names %in% known_lat_names)], character(0))) {
-      result$lat <- attributes(object)$Variables$common[[common_attr_names[which(common_attr_names %in% known_lat_names)]]]
-    } else {
-      warning("'lat' is not found in this object.")
-      result$lat <- NULL
-    }
-
-    vars <- which(!common_attr_names %in% c("time", known_lon_names, known_lat_names))
-
-    if (length(vars) > 1) {
-      warning("More than one variable has been provided and ",
-              "only the first one '", common_attr_names[vars[1]],"' will be used.")
-      vars <- vars[1]
-    }
-
-    Variable <- list()
-    Variable$varName <- names(attributes(object)$Variables$common)[vars]
-    attr(Variable, 'variable') <- attributes(object)$Variables$common[[vars]]
-    result$Variable <- Variable
-    dims <- dim(object)
-    if (any(c('sdate', 'sdates') %in% names(dims))) {
-        n_sdates <- dims[which(names(dims) == 'sdate' | names(dims) == 'sdates')]
-        sdates <- attributes(object)$Variables$common$time[1 : n_sdates]
-    } else {
-        sdates <- attributes(object)$Variables$common$time[1]
-    }
-    Dataset <- list(list(InitializationDates = list(Member_1 = sdates)))
-    names(Dataset) <- list(deparse(substitute(object)))
-    result$Datasets <- Dataset
-    result$Dates$start <- attributes(object)$Variables$common$time
-    result$when <- Sys.time()
-    result$source_files <- as.vector(attributes(object)$Files)
-    result$load_parameters <- attributes(object)$FileSelectors
-    class(result) <- 's2dv_cube'
-  } else {
-    stop("The class of parameter 'object' is not implemented",
-         " to be converted into 's2dv_cube' class yet.")
-  }
-  result
-
-}
-
-- 
GitLab


From f5b2a1603409214392fa924106b38712bee12388 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 31 Aug 2023 11:49:04 +0200
Subject: [PATCH 51/84] Delete OperationalCS.R script

---
 OperationalCS.R | 36 ------------------------------------
 1 file changed, 36 deletions(-)
 delete mode 100644 OperationalCS.R

diff --git a/OperationalCS.R b/OperationalCS.R
deleted file mode 100644
index ec01a30e..00000000
--- a/OperationalCS.R
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/usr/bin/env Rscript
-args = commandArgs(trailingOnly = TRUE)
-# To test:
-# args <- NULL; args[1] <- "recipes/seasonal_oper.yml"
-
-
-# execution: Rscript OperationalCS.R recipe.yml
-# This code checks the recipe and builds and executes the workflow
-print(args)
-library(yaml)
-
-recipe <- read_yaml(args[1])
-recipe$filename <- args[1]
-
-# Load required libraries
-source("tools/libs.R")
-
-# Create output folder and log:
-logger <- prepare_outputs(recipe = recipe) 
-folder <- logger$foldername
-log_file <- logger$logname
-logger <- logger$logger
-
-# Checks:
-verifications <- check_recipe(recipe, file = args[2], conf, logger) 
-# Divide recipe into single verifications recipes:
-total_recipes <- divide_recipe(recipe, verifications, folder, logger)
- 
-# Divide recipe into single verifications recipes:
-total_recipes <- divide_recipe(recipe, verifications, folder, logger)
-# Go to verification code: 
-capture.output(source("modules/verifications.R"), 
-               file = log_file, type ='message',
-               append = TRUE)
-
-
-- 
GitLab


From 98c3d994c5f1ea48e5323216e5f5ba9293b054c5 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 31 Aug 2023 11:50:50 +0200
Subject: [PATCH 52/84] Move GRIB recipe to recipes folder

---
 .../examples}/recipe_GRIB_system5_era5.yml                        | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename {modules/Loading/testing_recipes => recipes/examples}/recipe_GRIB_system5_era5.yml (100%)

diff --git a/modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml b/recipes/examples/recipe_GRIB_system5_era5.yml
similarity index 100%
rename from modules/Loading/testing_recipes/recipe_GRIB_system5_era5.yml
rename to recipes/examples/recipe_GRIB_system5_era5.yml
-- 
GitLab


From 77f029f91bca00b1b840bea8a8de1faa1c45cb9a Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 1 Sep 2023 10:29:56 +0200
Subject: [PATCH 53/84] Fix bug in platform configuration

---
 autosubmit/conf_esarchive/jobs.conf | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/autosubmit/conf_esarchive/jobs.conf b/autosubmit/conf_esarchive/jobs.conf
index c99236dd..f9d26634 100644
--- a/autosubmit/conf_esarchive/jobs.conf
+++ b/autosubmit/conf_esarchive/jobs.conf
@@ -9,6 +9,6 @@ PROCESSORS =
 [scorecards]
 FILE = autosubmit/auto-scorecards.sh
 WALLCLOCK = 00:10
-PLATFORM = nord3v2 ## Change??
+PLATFORM = nord3v2
 PROCESSORS = 1
 DEPENDENCIES = verification
-- 
GitLab


From 97bfdeeb51b0a1a034300f7f0b2ad34e033d43a0 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 1 Sep 2023 13:25:43 +0200
Subject: [PATCH 54/84] Add Scorecards to launcher (WIP)

---
 conf/slurm_templates/run_scorecards.sh | 14 ++++++++++++++
 launch_SUNSET.sh                       | 15 ++++++++++++++-
 split.R                                |  2 ++
 3 files changed, 30 insertions(+), 1 deletion(-)
 create mode 100644 conf/slurm_templates/run_scorecards.sh

diff --git a/conf/slurm_templates/run_scorecards.sh b/conf/slurm_templates/run_scorecards.sh
new file mode 100644
index 00000000..7a125876
--- /dev/null
+++ b/conf/slurm_templates/run_scorecards.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+
+#SBATCH -J SUNSET_scorecards
+
+# Slurm directive description:
+# -J: job name
+
+set -vx
+
+recipe=$1
+
+source MODULES
+
+sleep 600
diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index ec896a2f..72a1826d 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -90,6 +90,8 @@ Rscript split.R ${recipe} --tmpfile $tmpfile
 codedir=$( head -1 $tmpfile | tail -1 )
 # Retrieve output directory
 outdir=$( head -2 $tmpfile | tail -1 )
+# Run scorecards job?
+scorecards=$( head -3 $tmpfile | tail -1)
 
 rm $tmpfile
 
@@ -101,12 +103,23 @@ echo "Slurm job logs will be stored in $logdir"
 # Launch one job per atomic recipe
 cd $codedir
 job_number=0
+verification_job_list=()
+
 for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
   job_number=$(($job_number + 1))
   job_name=$(basename $outdir)_$(printf %02d $job_number)
   outfile=${logdir}/run-${job_name}.out
   errfile=${logdir}/run-${job_name}.err
-  sbatch --output=$outfile --error=$errfile --time=$wallclock --cpus-per-task=$cpus $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe}
+  job_ID=$(sbatch --parsable --output=$outfile --error=$errfile --time=$wallclock --cpus-per-task=$cpus $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe})
+  verification_job_list+=($job_ID)
 done
 
+echo $scorecards
+
+if [[ $scorecards == "TRUE" ]]; then
+  outfile=${logdir}/run-scorecards.out
+  erfile=${logdir}/run-scorecards.err
+  sbatch --dependency=afterok:$(IFS=,; echo "${verification_job_list[*]}") --output=$outfile --error=$errfile --time=01:00:00 conf/slurm_templates/run_scorecards.sh ${recipe}
+fi
+
 ## TODO: Retrieve jobids and list them as dependencies for scorecards job?
diff --git a/split.R b/split.R
index 5b42d986..c71a0377 100755
--- a/split.R
+++ b/split.R
@@ -39,5 +39,7 @@ if (recipe$Run$autosubmit) {
   sink(arguments$tmpfile, append = FALSE)
   cat(paste0(recipe$Run$code_dir, "\n"))
   cat(paste0(run_parameters$outdir, "\n"))
+  ## TODO: get parameter from recipe
+  cat(paste0("TRUE"))
   sink()
 }
-- 
GitLab


From 4254c8926ea948e3ed9901fac970072cba5f2bb2 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 1 Sep 2023 15:14:46 +0200
Subject: [PATCH 55/84] Refine dependency system, add comments

---
 conf/slurm_templates/run_scorecards.sh |  5 +++++
 launch_SUNSET.sh                       | 15 +++++++++++----
 2 files changed, 16 insertions(+), 4 deletions(-)

diff --git a/conf/slurm_templates/run_scorecards.sh b/conf/slurm_templates/run_scorecards.sh
index 7a125876..1ff64d21 100644
--- a/conf/slurm_templates/run_scorecards.sh
+++ b/conf/slurm_templates/run_scorecards.sh
@@ -1,9 +1,13 @@
 #!/bin/bash
 
 #SBATCH -J SUNSET_scorecards
+#SBATCH --kill-on-invalid-dep=yes
 
 # Slurm directive description:
 # -J: job name
+# --kill-on-invalid-dep: Whether to kill the job if the dependencies are
+#   not satisfied. If the verification jobs fail, the scorecards job 
+#   will be canceled.
 
 set -vx
 
@@ -11,4 +15,5 @@ recipe=$1
 
 source MODULES
 
+## TODO: Add scorecards script
 sleep 600
diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index 72a1826d..c44880e9 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -86,6 +86,7 @@ tmpfile=$(mktemp ${TMPDIR-/tmp}/SUNSET.XXXXXX)
 # Create outdir and split recipes
 source MODULES
 Rscript split.R ${recipe} --tmpfile $tmpfile
+
 # Retrieve working directory
 codedir=$( head -1 $tmpfile | tail -1 )
 # Retrieve output directory
@@ -103,23 +104,29 @@ echo "Slurm job logs will be stored in $logdir"
 # Launch one job per atomic recipe
 cd $codedir
 job_number=0
+# Create empty array to store all the job IDs for the verification jobs
 verification_job_list=()
 
+echo "Submitting verification jobs..."
+# Loop over atomic recipes
 for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
   job_number=$(($job_number + 1))
   job_name=$(basename $outdir)_$(printf %02d $job_number)
   outfile=${logdir}/run-${job_name}.out
   errfile=${logdir}/run-${job_name}.err
+  # Send batch job and capture job ID
   job_ID=$(sbatch --parsable --output=$outfile --error=$errfile --time=$wallclock --cpus-per-task=$cpus $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe})
+  # Add job ID to array
   verification_job_list+=($job_ID)
+  echo "Submitted batch job $job_ID"
 done
 
-echo $scorecards
-
+# Submit scorecards job with dependency on verification jobs.
+# The job will not run until all the verification jobs have finished successfully.
 if [[ $scorecards == "TRUE" ]]; then
+  echo "Submitting scorecards jobs..."
   outfile=${logdir}/run-scorecards.out
-  erfile=${logdir}/run-scorecards.err
+  errfile=${logdir}/run-scorecards.err
   sbatch --dependency=afterok:$(IFS=,; echo "${verification_job_list[*]}") --output=$outfile --error=$errfile --time=01:00:00 conf/slurm_templates/run_scorecards.sh ${recipe}
 fi
 
-## TODO: Retrieve jobids and list them as dependencies for scorecards job?
-- 
GitLab


From f916eae3998ca223de481d0558fa89ee6958607d Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 6 Sep 2023 09:36:07 +0200
Subject: [PATCH 56/84] Improve launcher comments

---
 launch_SUNSET.sh | 22 ++++++++++++++++++----
 1 file changed, 18 insertions(+), 4 deletions(-)

diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index c44880e9..53e31e5e 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -1,5 +1,18 @@
 #!/bin/bash
 
+################################################################################
+## Launcher script for SUNSET
+################################################################################
+##
+## It reads a SUNSET recipe and splits it into single ('atomic') verifications.
+## Then each atomic verification is launched as an independent job with SLURM.
+## Each job can be further parallelized using the --cpus parameter and the 
+## 'ncores' field in the recipe. 
+## If requested in the recipe, the Scorecards for the results are also created
+## and saved once the verifications are finished. 
+##
+################################################################################
+
 # Usage statement
 if [[ ( $@ == "--help") || $@ == "-h" ]]; then
   echo "Usage: $0 <path_to_recipe> <path_to_script> --wallclock=<hh:mm:ss> --custom_directives=<custom_slurm_directives>"
@@ -91,7 +104,7 @@ Rscript split.R ${recipe} --tmpfile $tmpfile
 codedir=$( head -1 $tmpfile | tail -1 )
 # Retrieve output directory
 outdir=$( head -2 $tmpfile | tail -1 )
-# Run scorecards job?
+# Scorecards TRUE/FALSE
 scorecards=$( head -3 $tmpfile | tail -1)
 
 rm $tmpfile
@@ -106,7 +119,6 @@ cd $codedir
 job_number=0
 # Create empty array to store all the job IDs for the verification jobs
 verification_job_list=()
-
 echo "Submitting verification jobs..."
 # Loop over atomic recipes
 for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
@@ -121,8 +133,10 @@ for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
   echo "Submitted batch job $job_ID"
 done
 
-# Submit scorecards job with dependency on verification jobs.
-# The job will not run until all the verification jobs have finished successfully.
+# Submit scorecards job with dependency on verification jobs, passed as a 
+# comma-separated string. The scorecards  job will not run until all the 
+# verification jobs have finished successfully.
+# If any of the jobs fail, it will be canceled.
 if [[ $scorecards == "TRUE" ]]; then
   echo "Submitting scorecards jobs..."
   outfile=${logdir}/run-scorecards.out
-- 
GitLab


From 319658313a97ea5556ff3f112e9b169a995fbf81 Mon Sep 17 00:00:00 2001
From: Nadia Milders <nadia.milders@bsc.es>
Date: Wed, 6 Sep 2023 11:20:26 +0200
Subject: [PATCH 57/84] included bug fix in LoadMetrics function

---
 modules/Scorecards/tmp/LoadMetrics.R | 42 +++++++++++++++++-----------
 1 file changed, 25 insertions(+), 17 deletions(-)

diff --git a/modules/Scorecards/tmp/LoadMetrics.R b/modules/Scorecards/tmp/LoadMetrics.R
index 7e68b65a..e5e15421 100644
--- a/modules/Scorecards/tmp/LoadMetrics.R
+++ b/modules/Scorecards/tmp/LoadMetrics.R
@@ -36,7 +36,7 @@
 #'                              input.path = '/esarchive/scratch/nmilders/scorecards_data/input_data')
 #'}
 #'@import easyNCDF
-#'@import abind
+#'@import multiApply
 #'@export 
 LoadMetrics <- function(system, reference, var, start.year, end.year,
                         metrics, start.months, forecast.months,
@@ -147,24 +147,24 @@ LoadMetrics <- function(system, reference, var, start.year, end.year,
 ############################################################
 
 .Loadmetrics <- function(input.path, system, reference, 
-                       var, period, start.months, 
-                       forecast.months, metrics) {
+                         var, period, start.months, 
+                         forecast.months, metrics) {
   
   ## Load data for each start date
   allfiles <- sapply(start.months, function(m) {
-                     paste0(input.path, "/", system, "/", var, 
-                            "/scorecards_", system, "_", reference, "_", 
-                            var, "-skill_", period, "_s", m, # mod.pressure,
-                            ".nc")})
+    paste0(input.path, "/", system, "/", var, 
+           "/scorecards_", system, "_", reference, "_", 
+           var, "-skill_", period, "_s", m, # mod.pressure,
+           ".nc")})
   allfiles_exist <- sapply(allfiles, file.exists)
-
+  
   # Check dims
   files_exist_by_month <- seq(1:length(allfiles))[allfiles_exist]
   allfiledims <- sapply(allfiles[allfiles_exist], easyNCDF::NcReadDims)
   if (length(files_exist_by_month) == 0) {
     stop("No files are found.")
   }
-
+  
   num_dims <- numeric(dim(allfiledims)[1])
   for (i in 1:dim(allfiledims)[1]) {
     if (length(unique(allfiledims[i,])) > 1) {
@@ -175,16 +175,24 @@ LoadMetrics <- function(system, reference, var, start.year, end.year,
   }
   # dims: [metric, longitude, latitude, time, smonth]
   # or [metric, region, time, smonth] 
-
+  
   # Loop for file
-  m <- array(files_exist_by_month, c(sdate = length(files_exist_by_month)))
-  array_met_by_sdate <- apply(m, 1, function(x) {
-    test <- easyNCDF::NcToArray(allfiles[x], vars_to_read = metrics, unlist = T,
-                                        drop_var_dim = T)
-    test})
+  dim(allfiles) <- c(dat = 1, sdate = length(allfiles))
+  
+  array_met_by_sdate <- Apply(data = allfiles, target_dims = 'dat', fun = function(x) {
+    if (file.exists(x)) {
+      res <- easyNCDF::NcToArray(x, vars_to_read = metrics, unlist = T,
+                                 drop_var_dim = T)
+      names(dim(res)) <- NULL
+    } else {
+      res <- array(dim = c(length(metrics), allfiledims[-1,1]))
+      names(dim(res)) <- NULL
+    }
+    res})$output1
+  
   dim(array_met_by_sdate) <- c(metric = length(metrics), allfiledims[-1,1], 
-                               sdate = length(start.months))
-
+                               sdate = length(allfiles))
+  
   # Attributes
   # Read attributes from the first existing file
   if ("region" %in% rownames(allfiledims)) {
-- 
GitLab


From cfe336b7820f30e110df93785bfc36fb4964b1bc Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 7 Sep 2023 10:52:10 +0200
Subject: [PATCH 58/84] Add scorecards job to MARS config, remove minor bug in
 esarchive conf, modify recipe

---
 autosubmit/conf_esarchive/proj.conf | 2 +-
 autosubmit/conf_mars/jobs.yml       | 7 +++++++
 recipes/recipe_scorecards_vic.yml   | 3 +--
 3 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/autosubmit/conf_esarchive/proj.conf b/autosubmit/conf_esarchive/proj.conf
index 1e8ffd03..7322a971 100644
--- a/autosubmit/conf_esarchive/proj.conf
+++ b/autosubmit/conf_esarchive/proj.conf
@@ -3,4 +3,4 @@
 MODULES = "MODULES"
 OUTDIR = 
 SCRIPT = 
-RECIPE = recipes/recipe_scorecards_vic.yml
+RECIPE = 
diff --git a/autosubmit/conf_mars/jobs.yml b/autosubmit/conf_mars/jobs.yml
index 2d8e32af..aba048bc 100644
--- a/autosubmit/conf_mars/jobs.yml
+++ b/autosubmit/conf_mars/jobs.yml
@@ -6,3 +6,10 @@ JOBS:
     NOTIFY_ON: 
     PLATFORM: NORD3
     PROCESSORS: 
+  scorecards:
+    FILE: autosubmit/auto-scorecards.sh
+    WALLCLOCK: 00:10
+    PLATFORM: NORD3
+    PROCESSORS: 1
+    DEPENDENCIES: verification
+
diff --git a/recipes/recipe_scorecards_vic.yml b/recipes/recipe_scorecards_vic.yml
index 9abd5193..16a3cfae 100644
--- a/recipes/recipe_scorecards_vic.yml
+++ b/recipes/recipe_scorecards_vic.yml
@@ -36,7 +36,7 @@ Analysis:
       - '1201'
     fcst_year:
     hcst_start: '1993' # single option
-    hcst_end: '2016' # single option
+    hcst_end: '2003' # single option
     ftime_min: 1 # single option
     ftime_max: 6 # single option
   Region: # multiple lists, split? Add region name if length(Region) > 1
@@ -77,7 +77,6 @@ Analysis:
       col1_width: NULL
       col2_width: NULL
       calculate_diff: FALSE
-      #output_path: /esarchive/scratch/nmilders/scorecards_images/testing
   ncores: 14
   remove_NAs: no # bool, don't split
   Output_format: Scorecards # string, don't split
-- 
GitLab


From 36a4de00242e2fbe095245c0e42c2ad0b47c4d5a Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 7 Sep 2023 13:18:48 +0200
Subject: [PATCH 59/84] Add memuse back

---
 tools/libs.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tools/libs.R b/tools/libs.R
index 9e4de9ba..4a1e71e3 100644
--- a/tools/libs.R
+++ b/tools/libs.R
@@ -23,7 +23,7 @@ library(pryr)
 library(ncdf4)
 library(formattable) ## to plot horizontal color bars - used ??
 library(kableExtra)
-# To check mem usage.
+library(memuse) # To check mem usage.
 
 # Functions
 ## To be removed when new package is done by library(CSOperational)
-- 
GitLab


From e0dd7a473afb3664a47f2c733b76ee8ccf15ed1f Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 7 Sep 2023 14:45:28 +0200
Subject: [PATCH 60/84] Add real slurm template for scorecards job

---
 conf/slurm_templates/run_scorecards.sh | 7 +++++--
 launch_SUNSET.sh                       | 2 +-
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/conf/slurm_templates/run_scorecards.sh b/conf/slurm_templates/run_scorecards.sh
index 1ff64d21..c658e35b 100644
--- a/conf/slurm_templates/run_scorecards.sh
+++ b/conf/slurm_templates/run_scorecards.sh
@@ -12,8 +12,11 @@
 set -vx
 
 recipe=$1
+outdir=$2
 
 source MODULES
+# Get modified recipe from output directory
+recipe=${outdir}/logs/recipes/${recipe}
+# Execute scorecards
+Rscript modules/Scorecards/execute_scorecards.R ${recipe} ${outdir}
 
-## TODO: Add scorecards script
-sleep 600
diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index 53e31e5e..5bd25b3a 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -141,6 +141,6 @@ if [[ $scorecards == "TRUE" ]]; then
   echo "Submitting scorecards jobs..."
   outfile=${logdir}/run-scorecards.out
   errfile=${logdir}/run-scorecards.err
-  sbatch --dependency=afterok:$(IFS=,; echo "${verification_job_list[*]}") --output=$outfile --error=$errfile --time=01:00:00 conf/slurm_templates/run_scorecards.sh ${recipe}
+  sbatch --dependency=afterok:$(IFS=,; echo "${verification_job_list[*]}") --output=$outfile --error=$errfile --time=01:00:00 conf/slurm_templates/run_scorecards.sh ${recipe} ${outdir}
 fi
 
-- 
GitLab


From 7faac0f854601c4fffe4e9b1785c8139e24d97ad Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 13 Sep 2023 11:42:20 +0200
Subject: [PATCH 61/84] Add 'module purge' and explicit module versions

---
 MODULES | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/MODULES b/MODULES
index dd2c568a..e2709d66 100644
--- a/MODULES
+++ b/MODULES
@@ -7,23 +7,25 @@ if [[ $BSC_MACHINE == "nord3v2" ]]; then
 
   module use /gpfs/projects/bsc32/software/suselinux/11/modules/all
   module unuse /apps/modules/modulefiles/applications /apps/modules/modulefiles/compilers /apps/modules/modulefiles/tools /apps/modules/modulefiles/libraries /apps/modules/modulefiles/environment
+  module purge 
 
   module load CDO/1.9.8-foss-2019b
   module load R/4.1.2-foss-2019b
   module load OpenMPI/4.0.5-GCC-8.3.0-nord3-v2
-  module load GEOS
-  module load GDAL
-  module load PROJ
-  module load Phantomjs
+  module load GEOS/3.7.2-foss-2019b-Python-3.7.4
+  module load GDAL/3.5.0-foss-2019b-Python-3.7.4
+  module load PROJ/9.0.0-GCCcore-8.3.0
+  module load Phantomjs/2.1.1
 
 else
 
+  module purge
   module load CDO/1.9.8-foss-2015a
   module load R/4.1.2-foss-2015a-bare
-  module load GEOS
-  module load GDAL
-  module load PROJ
-  module load Phantomjs
+  module load GEOS/3.7.2-foss-2015a-Python-3.7.3
+  module load GDAL/2.2.1-foss-2015a
+  module load PROJ/4.8.0-foss-2015a
+  module load Phantomjs/2.1.1
 
 fi
 
-- 
GitLab


From 45097babfde8661fdbb1a6272603cfbaa8810c6f Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 14 Sep 2023 14:08:15 +0200
Subject: [PATCH 62/84] Run Scorecards in a loop

---
 conf/slurm_templates/run_scorecards.sh  |  2 +-
 modules/Scorecards/execute_scorecards.R | 23 ++++++++++++++++++-----
 recipes/recipe_scorecards_vic.yml       |  1 +
 3 files changed, 20 insertions(+), 6 deletions(-)

diff --git a/conf/slurm_templates/run_scorecards.sh b/conf/slurm_templates/run_scorecards.sh
index c658e35b..bfeaeac0 100644
--- a/conf/slurm_templates/run_scorecards.sh
+++ b/conf/slurm_templates/run_scorecards.sh
@@ -16,7 +16,7 @@ outdir=$2
 
 source MODULES
 # Get modified recipe from output directory
-recipe=${outdir}/logs/recipes/${recipe}
+# recipe=${outdir}/logs/${recipe}
 # Execute scorecards
 Rscript modules/Scorecards/execute_scorecards.R ${recipe} ${outdir}
 
diff --git a/modules/Scorecards/execute_scorecards.R b/modules/Scorecards/execute_scorecards.R
index 95bf4bb9..e0829342 100644
--- a/modules/Scorecards/execute_scorecards.R
+++ b/modules/Scorecards/execute_scorecards.R
@@ -9,10 +9,23 @@ output_dir <- args[2]
 # Read recipe and set outdir
 recipe <- read_yaml(recipe_file)
 recipe$Run$output_dir <- output_dir
-recipe$Analysis$Datasets$System <- recipe$Analysis$Datasets$System[[1]]
-recipe$Analysis$Datasets$Reference <- recipe$Analysis$Datasets$Reference[[1]]
-recipe$Analysis$Variables <- recipe$Analysis$Variables[[1]]
 
-# Plot Scorecards
-plot_scorecards(recipe)
+## Loop over variables
+datasets <- recipe$Analysis$Datasets
+## TODO: Improve dependency system?
+for (system in 1:length(datasets$System)) {
+  for (reference in 1:length(datasets$Reference)) {
+    for (variable in 1:length(recipe$Analysis$variables)) {
+      scorecard_recipe <- recipe 
+      scorecard_recipe$Analysis$Datasets$System <- 
+        recipe$Analysis$Datasets$System[[system]]
+      scorecard_recipe$Analysis$Datasets$Reference <- 
+        recipe$Analysis$Datasets$Reference[[reference]]
+      scorecard_recipe$Analysis$Variables <-
+        recipe$Analysis$Variables[[variable]]
+      # Plot Scorecards
+      Scorecards(scorecard_recipe)
+    }
+  }
+}
 print("##### SCORECARDS SAVED TO THE OUTPUT DIRECTORY #####")
diff --git a/recipes/recipe_scorecards_vic.yml b/recipes/recipe_scorecards_vic.yml
index 16a3cfae..2a149b41 100644
--- a/recipes/recipe_scorecards_vic.yml
+++ b/recipes/recipe_scorecards_vic.yml
@@ -14,6 +14,7 @@ Analysis:
   Horizon: Seasonal
   Variables: # ECVs and Indicators?
     - {name: tas, freq: monthly_mean}
+    - {name: prlr, freq: monthly_mean}
   Datasets:
     System: # multiple systems for single model, split if Multimodel = F
       - {name: ECMWF-SEAS5}
-- 
GitLab


From be82f39e07765860d43df6c085ed7b6fcb4c7f78 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 19 Sep 2023 09:06:43 +0200
Subject: [PATCH 63/84] Rename plot_scorecards() to Scorecards()

---
 modules/Scorecards/Scorecards.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
index 6086ecb2..47b47797 100644
--- a/modules/Scorecards/Scorecards.R
+++ b/modules/Scorecards/Scorecards.R
@@ -15,7 +15,7 @@ source('modules/Scorecards/tmp/SCPlotScorecard.R')
 
 ## TODO: Change function name to 'Scorecards'?
 ## Define function
-plot_scorecards <- function(recipe) {
+Scorecards <- function(recipe) {
   
   ## set parameters
   input.path <- paste0(recipe$Run$output_dir, "/outputs/Skill/")
-- 
GitLab


From f587f1f07b0586d98d80cc2d271486a91daa47c9 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 19 Sep 2023 11:19:57 +0200
Subject: [PATCH 64/84] Fix bug caused by typo

---
 modules/Scorecards/execute_scorecards.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/Scorecards/execute_scorecards.R b/modules/Scorecards/execute_scorecards.R
index e0829342..2c54c48f 100644
--- a/modules/Scorecards/execute_scorecards.R
+++ b/modules/Scorecards/execute_scorecards.R
@@ -15,7 +15,7 @@ datasets <- recipe$Analysis$Datasets
 ## TODO: Improve dependency system?
 for (system in 1:length(datasets$System)) {
   for (reference in 1:length(datasets$Reference)) {
-    for (variable in 1:length(recipe$Analysis$variables)) {
+    for (variable in 1:length(recipe$Analysis$Variables)) {
       scorecard_recipe <- recipe 
       scorecard_recipe$Analysis$Datasets$System <- 
         recipe$Analysis$Datasets$System[[system]]
-- 
GitLab


From 47ae0af0943701e6948f296f6630d4f98da2c05a Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 19 Sep 2023 15:27:21 +0200
Subject: [PATCH 65/84] Adapt launch_SUNSET.sh to Autosubmit case and
 Scorecards

---
 launch_SUNSET.sh | 97 +++++++++++++++++++++++++-----------------------
 split.R          | 17 ++++++++-
 2 files changed, 66 insertions(+), 48 deletions(-)

diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index 5bd25b3a..7f63c97d 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -14,10 +14,6 @@
 ################################################################################
 
 # Usage statement
-if [[ ( $@ == "--help") || $@ == "-h" ]]; then
-  echo "Usage: $0 <path_to_recipe> <path_to_script> --wallclock=<hh:mm:ss> --custom_directives=<custom_slurm_directives>"
-  exit 0
-fi
 
 function usage
 {
@@ -38,6 +34,10 @@ function usage
   echo "                                          E.g. '--constraint=medmem'."
 }
 
+if [[ ( $@ == "--help") || $@ == "-h" ]]; then
+  usage
+  exit 0
+fi
 
 # Assign arguments
 recipe=$1
@@ -100,47 +100,52 @@ tmpfile=$(mktemp ${TMPDIR-/tmp}/SUNSET.XXXXXX)
 source MODULES
 Rscript split.R ${recipe} --tmpfile $tmpfile
 
-# Retrieve working directory
-codedir=$( head -1 $tmpfile | tail -1 )
-# Retrieve output directory
-outdir=$( head -2 $tmpfile | tail -1 )
-# Scorecards TRUE/FALSE
-scorecards=$( head -3 $tmpfile | tail -1)
-
-rm $tmpfile
-
-# Create directory for slurm output
-logdir=${codedir}/out-logs/slurm_logs/
-mkdir -p $logdir
-echo "Slurm job logs will be stored in $logdir"
-
-# Launch one job per atomic recipe
-cd $codedir
-job_number=0
-# Create empty array to store all the job IDs for the verification jobs
-verification_job_list=()
-echo "Submitting verification jobs..."
-# Loop over atomic recipes
-for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
-  job_number=$(($job_number + 1))
-  job_name=$(basename $outdir)_$(printf %02d $job_number)
-  outfile=${logdir}/run-${job_name}.out
-  errfile=${logdir}/run-${job_name}.err
-  # Send batch job and capture job ID
-  job_ID=$(sbatch --parsable --output=$outfile --error=$errfile --time=$wallclock --cpus-per-task=$cpus $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe})
-  # Add job ID to array
-  verification_job_list+=($job_ID)
-  echo "Submitted batch job $job_ID"
-done
-
-# Submit scorecards job with dependency on verification jobs, passed as a 
-# comma-separated string. The scorecards  job will not run until all the 
-# verification jobs have finished successfully.
-# If any of the jobs fail, it will be canceled.
-if [[ $scorecards == "TRUE" ]]; then
-  echo "Submitting scorecards jobs..."
-  outfile=${logdir}/run-scorecards.out
-  errfile=${logdir}/run-scorecards.err
-  sbatch --dependency=afterok:$(IFS=,; echo "${verification_job_list[*]}") --output=$outfile --error=$errfile --time=01:00:00 conf/slurm_templates/run_scorecards.sh ${recipe} ${outdir}
+# Run with Autosubmit or directly with Slurm's sbatch?
+run_method=$( head -1 $tmpfile | tail -1 )
+# If run method is 'sbatch', launch jobs with dependencies
+if [ run_method == "sbatch" ]; then
+  # Retrieve working directory
+  codedir=$( head -2 $tmpfile | tail -1 )
+  # Retrieve output directory
+  outdir=$( head -3 $tmpfile | tail -1 )
+  # Scorecards TRUE/FALSE
+  scorecards=$( head -4 $tmpfile | tail -1)
+  
+  # Create directory for slurm output
+  logdir=${codedir}/out-logs/slurm_logs/
+  mkdir -p $logdir
+  echo "Slurm job logs will be stored in $logdir"
+  
+  # Launch one job per atomic recipe
+  cd $codedir
+  job_number=0
+  # Create empty array to store all the job IDs for the verification jobs
+  verification_job_list=()
+  echo "Submitting verification jobs..."
+  # Loop over atomic recipes
+  for atomic_recipe in ${outdir}/logs/recipes/atomic_recipe_??.yml; do
+    job_number=$(($job_number + 1))
+    job_name=$(basename $outdir)_$(printf %02d $job_number)
+    outfile=${logdir}/run-${job_name}.out
+    errfile=${logdir}/run-${job_name}.err
+    # Send batch job and capture job ID
+    job_ID=$(sbatch --parsable --output=$outfile --error=$errfile --time=$wallclock --cpus-per-task=$cpus $custom_directives conf/slurm_templates/run_parallel_workflow.sh ${script} ${atomic_recipe})
+    # Add job ID to array
+    verification_job_list+=($job_ID)
+    echo "Submitted batch job $job_ID"
+  done
+  
+  # Submit scorecards job with dependency on verification jobs, passed as a 
+  # comma-separated string. The scorecards  job will not run until all the 
+  # verification jobs have finished successfully.
+  # If any of the jobs fail, it will be canceled.
+  if [[ $scorecards == "TRUE" ]]; then
+    echo "Submitting scorecards jobs..."
+    outfile=${logdir}/run-scorecards.out
+    errfile=${logdir}/run-scorecards.err
+    sbatch --dependency=afterok:$(IFS=,; echo "${verification_job_list[*]}") --output=$outfile --error=$errfile --time=01:00:00 conf/slurm_templates/run_scorecards.sh ${recipe} ${outdir}
+  fi
 fi
 
+# Clean temporary file
+rm $tmpfile
diff --git a/split.R b/split.R
index c71a0377..58b34a87 100755
--- a/split.R
+++ b/split.R
@@ -35,11 +35,24 @@ run_parameters <- divide_recipe(recipe)
 
 if (recipe$Run$autosubmit) {
   write_autosubmit_conf(recipe, run_parameters$n_atomic_recipes)
+  sink(arguments$tmpfile, append = FALSE)
+  # Run with...
+  cat("autosubmit")
+  sink()
 } else if (!is.null(arguments$tmpfile)) {
   sink(arguments$tmpfile, append = FALSE)
+  # Run with...
+  cat(paste0("sbatch", "\n"))
+  # Code directory
   cat(paste0(recipe$Run$code_dir, "\n"))
+  # Output directory
   cat(paste0(run_parameters$outdir, "\n"))
-  ## TODO: get parameter from recipe
-  cat(paste0("TRUE"))
+  # Scorecards
+  if (!("Scorecards" %in% names(recipe$Analysis$Workflow)) || 
+      (!recipe$Analysis$Workflow$Scorecards$execute)) {
+    cat("FALSE")
+  } else {
+    cat("TRUE")
+  }
   sink()
 }
-- 
GitLab


From 600f99e73799305b7cfb8e80ba6af6ae133d49ee Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 19 Sep 2023 15:28:02 +0200
Subject: [PATCH 66/84] =?UTF-8?q?Remove=20commented=20lines=C2=B7?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 conf/slurm_templates/run_scorecards.sh | 2 --
 1 file changed, 2 deletions(-)

diff --git a/conf/slurm_templates/run_scorecards.sh b/conf/slurm_templates/run_scorecards.sh
index bfeaeac0..5ebf6528 100644
--- a/conf/slurm_templates/run_scorecards.sh
+++ b/conf/slurm_templates/run_scorecards.sh
@@ -15,8 +15,6 @@ recipe=$1
 outdir=$2
 
 source MODULES
-# Get modified recipe from output directory
-# recipe=${outdir}/logs/${recipe}
 # Execute scorecards
 Rscript modules/Scorecards/execute_scorecards.R ${recipe} ${outdir}
 
-- 
GitLab


From 6939695761a11712c1ccd2ab9de7566dcd933b3b Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 21 Sep 2023 11:56:27 +0200
Subject: [PATCH 67/84] Add recipe check: Verify that the metrics requested in
 Skill are available in SUNSET

---
 tools/check_recipe.R | 20 ++++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/tools/check_recipe.R b/tools/check_recipe.R
index cfac94e3..2fe3808d 100644
--- a/tools/check_recipe.R
+++ b/tools/check_recipe.R
@@ -340,11 +340,27 @@ check_recipe <- function(recipe) {
   }
 
   # Skill
-  if (("Skill" %in% names(recipe$Analysis$Workflow)) &&
-      (is.null(recipe$Analysis$Workflow$Skill$metric))) {
+  AVAILABLE_METRICS <- c("enscorr", "corr", "rps", "rpss", "frps", "frpss",
+                         "crps", "crpss", "bss10", "bss90", "mean_bias",
+                         "mean_bias_ss", "enssprerr", "rps_clim", "rpss_clim",
+                         "enscorr_specs", "frps_specs", "rpss_specs", 
+                         "frpss_specs", "bss10_specs", "bss90_specs")
+  if ("Skill" %in% names(recipe$Analysis$Workflow)) {
+    if (is.null(recipe$Analysis$Workflow$Skill$metric)) {
     error(recipe$Run$logger,
           "Parameter 'metric' must be defined under 'Skill'.")
     error_status <- T
+    } else {
+      requested_metrics <- strsplit(recipe$Analysis$Workflow$Skill$metric, 
+                                    ", | |,")[[1]]
+      if (!all(tolower(requested_metrics) %in% AVAILABLE_METRICS)) {
+        error(recipe$Run$logger,
+              paste0("Some of the metrics requested under 'Skill' are not ",
+                     "available in SUNSET. Check the documentation to see the ",
+                     "full list of accepted skill metrics."))
+        error_status <- T
+      }
+    }
     # Saving checks
     SAVING_OPTIONS_SKILL <- c("all", "none")
     if ((is.null(recipe$Analysis$Workflow$Skill$save)) ||
-- 
GitLab


From 90454cae1bf627e5b48d7286c2716c8fa4233d5f Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 21 Sep 2023 12:24:44 +0200
Subject: [PATCH 68/84] Add recipe check: Check that all metrics requested in
 'Scorecards' are also requested in 'Skill'

---
 tools/check_recipe.R | 18 +++++++++++++++++-
 1 file changed, 17 insertions(+), 1 deletion(-)

diff --git a/tools/check_recipe.R b/tools/check_recipe.R
index 2fe3808d..05c332db 100644
--- a/tools/check_recipe.R
+++ b/tools/check_recipe.R
@@ -458,7 +458,23 @@ check_recipe <- function(recipe) {
       }
     }
   }
-
+  # Scorecards
+  if ("Scorecards" %in% names(recipe$Analysis$Workflow)) {
+    if (is.null(recipe$Analysis$Workflow$Scorecards$metric)) {
+    error(recipe$Run$logger,
+          "Parameter 'metric' must be defined under 'Scorecards'.")
+    error_status <- T
+    } else {
+      sc_metrics <- strsplit(recipe$Analysis$Workflow$Scorecards$metric, 
+                             ", | |,")[[1]]
+      if (!all(tolower(sc_metrics) %in% tolower(requested_metrics))) {
+        error(recipe$Run$logger,
+              paste0("All of the metrics requested under 'Scorecards' must ",
+                     "be requested in the 'Skill' section."))
+        error_status <- T
+      }
+    }
+  }
   # ---------------------------------------------------------------------
   # RUN CHECKS
   # ---------------------------------------------------------------------
-- 
GitLab


From f053814c0f572cbe8277e19a31590f9def28c019 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 21 Sep 2023 15:40:23 +0200
Subject: [PATCH 69/84] Simplify recipe

---
 recipes/recipe_scorecards_vic.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/recipes/recipe_scorecards_vic.yml b/recipes/recipe_scorecards_vic.yml
index 2a149b41..ba62072e 100644
--- a/recipes/recipe_scorecards_vic.yml
+++ b/recipes/recipe_scorecards_vic.yml
@@ -48,7 +48,7 @@ Analysis:
   Workflow:
     Anomalies:
       compute: yes
-      cross_validation: yes 
+      cross_validation: no
       save: 'none'
     Calibration:
       method: raw ## TODO: list, split?
-- 
GitLab


From 073129f5f7b17e2c7f82b6797561fd83ebc36a98 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Thu, 21 Sep 2023 15:43:03 +0200
Subject: [PATCH 70/84] Rearrange directories

---
 modules/Scorecards/R/plot_scorecards.R        | 184 ------------------
 modules/Scorecards/{ => R}/tmp/LoadMetrics.R  |   0
 .../Scorecards/{ => R}/tmp/SCPlotScorecard.R  |   0
 modules/Scorecards/{ => R}/tmp/SCTransform.R  |   0
 .../Scorecards/{ => R}/tmp/ScorecardsMulti.R  |   0
 .../Scorecards/{ => R}/tmp/ScorecardsSingle.R |   0
 .../{ => R}/tmp/ScorecardsSystemDiff.R        |   0
 modules/Scorecards/{ => R}/tmp/Utils.R        |   0
 .../Scorecards/{ => R}/tmp/WeightedMetrics.R  |   0
 modules/Scorecards/Scorecards.R               |  16 +-
 10 files changed, 8 insertions(+), 192 deletions(-)
 delete mode 100644 modules/Scorecards/R/plot_scorecards.R
 rename modules/Scorecards/{ => R}/tmp/LoadMetrics.R (100%)
 rename modules/Scorecards/{ => R}/tmp/SCPlotScorecard.R (100%)
 rename modules/Scorecards/{ => R}/tmp/SCTransform.R (100%)
 rename modules/Scorecards/{ => R}/tmp/ScorecardsMulti.R (100%)
 rename modules/Scorecards/{ => R}/tmp/ScorecardsSingle.R (100%)
 rename modules/Scorecards/{ => R}/tmp/ScorecardsSystemDiff.R (100%)
 rename modules/Scorecards/{ => R}/tmp/Utils.R (100%)
 rename modules/Scorecards/{ => R}/tmp/WeightedMetrics.R (100%)

diff --git a/modules/Scorecards/R/plot_scorecards.R b/modules/Scorecards/R/plot_scorecards.R
deleted file mode 100644
index c89868a5..00000000
--- a/modules/Scorecards/R/plot_scorecards.R
+++ /dev/null
@@ -1,184 +0,0 @@
-###############################################################################
-##################### SCORECARDS MODULE FOR SUNSET SUITE ######################
-###############################################################################
-
-##### Load source functions #####
-source('modules/Scorecards/tmp/LoadMetrics.R')
-source('modules/Scorecards/tmp/WeightedMetrics.R')
-source('modules/Scorecards/tmp/Utils.R')
-source('modules/Scorecards/tmp/SCTransform.R')
-source('modules/Scorecards/tmp/ScorecardsSingle.R')
-source('modules/Scorecards/tmp/ScorecardsMulti.R')
-source('modules/Scorecards/tmp/ScorecardsSystemDiff.R')
-source('modules/Scorecards/tmp/SCPlotScorecard.R') 
-
-
-## Define function
-plot_scorecards <- function(recipe) {
-  
-  ## set parameters
-  input.path <- paste0(recipe$Run$output_dir, "/outputs/Skill/")
-  output.path <- paste0(recipe$Run$output_dir, "/plots/Scorecards/")
-  dir.create(output.path, recursive = T, showWarnings = F)
-  
-  system <- recipe$Analysis$Datasets$System$name
-  reference <- recipe$Analysis$Datasets$Reference$name
-  var <- recipe$Analysis$Variables$name
-  start.year <- as.numeric(recipe$Analysis$Time$hcst_start)
-  end.year <- as.numeric(recipe$Analysis$Time$hcst_end)
-  forecast.months <- recipe$Analysis$Time$ftime_min : recipe$Analysis$Time$ftime_max
-  
-  start.months <- 1:12 #recipe$Analysis$Workflow$Scorecards$start_months
-  
-  regions <- recipe$Analysis$Workflow$Scorecards$regions  
-  for (i in names(regions)){regions[[i]] <- unlist(regions[[i]])}
-  
-  metric.aggregation <- recipe$Analysis$Workflow$Scorecards$metric_aggregation
-  metrics.load <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Skill$metric), ", | |,"))
-  
-  ## Define skill scores in score aggregation has been requested
-  
-  if(metric.aggregation == 'score'){
-    if('rps' %in% metrics.load){
-      metrics.load <- c(metrics.load, 'rps_clim') 
-    }
-    if('crps' %in% metrics.load){
-      metrics.load <- c(metrics.load, 'crps_clim') 
-    }
-  }
-  
-  metrics.visualize <- unlist(strsplit(tolower(recipe$Analysis$Workflow$Scorecards$metric), ", | |,"))
-  
-  ## Define skill scores in score aggregation has been requested
-  
-  if(metric.aggregation == 'score'){
-    if('rpss' %in% metrics.visualize){
-      metrics.visualize[metrics.visualize == 'rpss'] <- 'rpss_score_aggr'
-    }
-    if('crpss' %in% metrics.visualize){
-      metrics.visualize[metrics.visualize == 'crpss'] <- 'crpss_score_aggr'
-    }
-  }
-  
-  table.label <-  recipe$Analysis$Workflow$Scorecards$table_label
-  fileout.label <- recipe$Analysis$Workflow$Scorecards$fileout_label
-  legend.white.space <- recipe$Analysis$Workflow$Scorecards$legend_white_space 
-  col1.width <- recipe$Analysis$Workflow$Scorecards$col1_width
-  col2.width <- recipe$Analysis$Workflow$Scorecards$col2_width
-  calculate.diff <- recipe$Analysis$Workflow$Scorecards$calculate_diff
-  ncores <- recipe$Analysis$ncores
-  
-  ## Load data files
-  loaded_metrics <- LoadMetrics(system = system,
-                                reference = reference,
-                                var = var,
-                                start.year = start.year,
-                                end.year = end.year,
-                                metrics =  metrics.load,
-                                start.months = start.months,
-                                forecast.months = forecast.months,
-                                input.path = input.path)
-  
-  
-  if('region' %in% names(dim(loaded_metrics[[1]][[1]]))){
-    
-    ### Convert loaded metrics to array for allready aggregated data
-    metrics.dim <- attributes(loaded_metrics[[1]][[1]])$metrics 
-    forecast.months.dim <- attributes(loaded_metrics[[1]][[1]])$forecast.months 
-    start.months.dim <- attributes(loaded_metrics[[1]][[1]])$start.months 
-    regions.dim <- regions #list('NAO' = c(lon.min = -80, lon.max = 40, lat.min = 20, lat.max = 80))
-    
-    aggregated_metrics <- array(dim = c(system = length(loaded_metrics),
-                                        reference = length(loaded_metrics[[1]]),
-                                        metric = length(metrics.dim), 
-                                        time = length(forecast.months.dim), 
-                                        sdate = length(start.months.dim), 
-                                        region = length(regions.dim)))
-    
-    
-    for (sys in 1:length(names(loaded_metrics))){
-      for (ref in 1:length(names(loaded_metrics[[sys]]))){
-        aggregated_metrics[sys, ref, , , , ] <- s2dv::Reorder(data = loaded_metrics[[sys]][[ref]], order = c('metric','time','sdate','region'))
-      }
-    }
-    
-    ## Add attributes
-    attributes(aggregated_metrics)$metrics <- metrics.load
-    attributes(aggregated_metrics)$start.months <- attributes(loaded_metrics[[1]][[1]])$start.months
-    attributes(aggregated_metrics)$forecast.months <- attributes(loaded_metrics[[1]][[1]])$forecast.months
-    attributes(aggregated_metrics)$regions <- regions
-    attributes(aggregated_metrics)$system.name <- names(loaded_metrics)
-    attributes(aggregated_metrics)$reference.name <- names(loaded_metrics[[1]])
-    
-    
-  } else {
-    ## Calculate weighted mean of spatial aggregation
-    aggregated_metrics <- WeightedMetrics(loaded_metrics,
-                                          regions = regions,
-                                          metric.aggregation = metric.aggregation,
-                                          ncores = ncores)
-  }## close if
-
-  ## Create simple scorecard tables 
-  ## (one system only)
-  ## Metrics input must be in the same order as function SC_spatial_aggregation
-  scorecard_single <- ScorecardsSingle(data = aggregated_metrics,
-                                       system = system,
-                                       reference = reference,
-                                       var = var,
-                                       start.year = start.year,
-                                       end.year = end.year,
-                                       start.months = start.months,
-                                       forecast.months = forecast.months,
-                                       region.names = names(regions),
-                                       metrics = metrics.visualize,
-                                       table.label =  table.label,
-                                       fileout.label = fileout.label,
-                                       legend.white.space = legend.white.space, 
-                                       col1.width = col1.width,
-                                       col2.width = col2.width,
-                                       output.path = output.path)
-  
-  ## Create multi system/reference scorecard tables
-  ## (multiple systems with one reference or one system with multiple references)
-  ## Metrics input must be in the same order as function SC_spatial_aggregation
-  if(length(system) >  1 || length(reference) >  1){
-    scorecard_multi <- ScorecardsMulti(data = aggregated_metrics,
-                                       system = system,
-                                       reference = reference,
-                                       var = var,
-                                       start.year = start.year,
-                                       end.year = end.year,
-                                       start.months = start.months,
-                                       forecast.months = forecast.months,
-                                       region.names = attributes(regions)$names,
-                                       metrics = metrics.visualize,
-                                       table.label =  table.label,
-                                       fileout.label = fileout.label,
-                                       output.path = output.path)
-  } ## close if
-  
-  
-  if(calculate.diff == TRUE){
-    if(length(system) ==  2 || length(reference) ==  2){
-      scorecard_diff <- ScorecardsSystemDiff(data = aggregated_metrics,
-                                             system = system,
-                                             reference = reference,
-                                             var = var,
-                                             start.year = start.year,
-                                             end.year = end.year,
-                                             start.months = start.months,
-                                             forecast.months = forecast.months,
-                                             region.names = attributes(regions)$names,
-                                             metrics = metrics.visualize,
-                                             table.label = table.label,
-                                             fileout.label =  fileout.label,
-                                             legend.white.space = legend.white.space, 
-                                             col1.width = col1.width,
-                                             col2.width = col2.width,
-                                             output.path = output.path)
-    } else {stop ("Difference scorecard can only be computed with two systems or two references.")}
-  } ## close if on calculate.diff
-  
-}
-
diff --git a/modules/Scorecards/tmp/LoadMetrics.R b/modules/Scorecards/R/tmp/LoadMetrics.R
similarity index 100%
rename from modules/Scorecards/tmp/LoadMetrics.R
rename to modules/Scorecards/R/tmp/LoadMetrics.R
diff --git a/modules/Scorecards/tmp/SCPlotScorecard.R b/modules/Scorecards/R/tmp/SCPlotScorecard.R
similarity index 100%
rename from modules/Scorecards/tmp/SCPlotScorecard.R
rename to modules/Scorecards/R/tmp/SCPlotScorecard.R
diff --git a/modules/Scorecards/tmp/SCTransform.R b/modules/Scorecards/R/tmp/SCTransform.R
similarity index 100%
rename from modules/Scorecards/tmp/SCTransform.R
rename to modules/Scorecards/R/tmp/SCTransform.R
diff --git a/modules/Scorecards/tmp/ScorecardsMulti.R b/modules/Scorecards/R/tmp/ScorecardsMulti.R
similarity index 100%
rename from modules/Scorecards/tmp/ScorecardsMulti.R
rename to modules/Scorecards/R/tmp/ScorecardsMulti.R
diff --git a/modules/Scorecards/tmp/ScorecardsSingle.R b/modules/Scorecards/R/tmp/ScorecardsSingle.R
similarity index 100%
rename from modules/Scorecards/tmp/ScorecardsSingle.R
rename to modules/Scorecards/R/tmp/ScorecardsSingle.R
diff --git a/modules/Scorecards/tmp/ScorecardsSystemDiff.R b/modules/Scorecards/R/tmp/ScorecardsSystemDiff.R
similarity index 100%
rename from modules/Scorecards/tmp/ScorecardsSystemDiff.R
rename to modules/Scorecards/R/tmp/ScorecardsSystemDiff.R
diff --git a/modules/Scorecards/tmp/Utils.R b/modules/Scorecards/R/tmp/Utils.R
similarity index 100%
rename from modules/Scorecards/tmp/Utils.R
rename to modules/Scorecards/R/tmp/Utils.R
diff --git a/modules/Scorecards/tmp/WeightedMetrics.R b/modules/Scorecards/R/tmp/WeightedMetrics.R
similarity index 100%
rename from modules/Scorecards/tmp/WeightedMetrics.R
rename to modules/Scorecards/R/tmp/WeightedMetrics.R
diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
index 47b47797..047db597 100644
--- a/modules/Scorecards/Scorecards.R
+++ b/modules/Scorecards/Scorecards.R
@@ -3,14 +3,14 @@
 ###############################################################################
 
 ##### Load source functions #####
-source('modules/Scorecards/tmp/LoadMetrics.R')
-source('modules/Scorecards/tmp/WeightedMetrics.R')
-source('modules/Scorecards/tmp/Utils.R')
-source('modules/Scorecards/tmp/SCTransform.R')
-source('modules/Scorecards/tmp/ScorecardsSingle.R')
-source('modules/Scorecards/tmp/ScorecardsMulti.R')
-source('modules/Scorecards/tmp/ScorecardsSystemDiff.R')
-source('modules/Scorecards/tmp/SCPlotScorecard.R') 
+source('modules/Scorecards/R/tmp/LoadMetrics.R')
+source('modules/Scorecards/R/tmp/WeightedMetrics.R')
+source('modules/Scorecards/R/tmp/Utils.R')
+source('modules/Scorecards/R/tmp/SCTransform.R')
+source('modules/Scorecards/R/tmp/ScorecardsSingle.R')
+source('modules/Scorecards/R/tmp/ScorecardsMulti.R')
+source('modules/Scorecards/R/tmp/ScorecardsSystemDiff.R')
+source('modules/Scorecards/R/tmp/SCPlotScorecard.R') 
 
 
 ## TODO: Change function name to 'Scorecards'?
-- 
GitLab


From 98e939b4be2bf210ac6cc58bacbc28e0b6bb8cf2 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Fri, 22 Sep 2023 15:09:54 +0200
Subject: [PATCH 71/84] Hard code number of cores used for Scorecards to 1

---
 modules/Scorecards/Scorecards.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
index 047db597..3bcb01ce 100644
--- a/modules/Scorecards/Scorecards.R
+++ b/modules/Scorecards/Scorecards.R
@@ -67,7 +67,7 @@ Scorecards <- function(recipe) {
   col1.width <- recipe$Analysis$Workflow$Scorecards$col1_width
   col2.width <- recipe$Analysis$Workflow$Scorecards$col2_width
   calculate.diff <- recipe$Analysis$Workflow$Scorecards$calculate_diff
-  ncores <- recipe$Analysis$ncores
+  ncores <- 1 # recipe$Analysis$ncores
   
   ## Load data files
   loaded_metrics <- LoadMetrics(system = system,
-- 
GitLab


From 2691398872b65a8202fe9820676890d3e1cf34b0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Pierre-Antoine=20Bretonni=C3=A8re?=
 <pierre-antoine.bretonniere@bsc.es>
Date: Wed, 27 Sep 2023 14:08:29 +0200
Subject: [PATCH 72/84] add conda env for ECMWF

---
 .../environment-cerise-localgribR-ecmwf.yml   | 331 ++++++++++++++++++
 1 file changed, 331 insertions(+)
 create mode 100644 conda_installation/environment-cerise-localgribR-ecmwf.yml

diff --git a/conda_installation/environment-cerise-localgribR-ecmwf.yml b/conda_installation/environment-cerise-localgribR-ecmwf.yml
new file mode 100644
index 00000000..983347f0
--- /dev/null
+++ b/conda_installation/environment-cerise-localgribR-ecmwf.yml
@@ -0,0 +1,331 @@
+name: condaCerise
+channels:
+  - r
+  - conda-forge
+  - https://nexus.ecmwf.int/repository/conda-ecmwf
+  - https://nexus.ecmwf.int/repository/conda-forge
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_gnu
+  - _r-mutex=1.0.1=anacondar_1
+  - atk-1.0=2.38.0=hd4edc92_1
+  - binutils_impl_linux-64=2.40=hf600244_0
+  - blosc=1.21.5=h0f2a231_0
+  - boost-cpp=1.78.0=h5adbc97_2
+  - bwidget=1.9.14=ha770c72_1
+  - bzip2=1.0.8=h7f98852_4
+  - c-ares=1.19.1=hd590300_0
+  - ca-certificates=2023.7.22=hbcca054_0
+  - cairo=1.16.0=ha61ee94_1014
+  - cfitsio=4.1.0=hd9d235c_0
+  - curl=8.1.2=h409715c_0
+  - eccodes=2.30.2=hc4464db_0
+  - expat=2.5.0=hcb278e6_1
+  - fftw=3.3.10=nompi_hc118613_108
+  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
+  - font-ttf-inconsolata=3.000=h77eed37_0
+  - font-ttf-source-code-pro=2.038=h77eed37_0
+  - font-ttf-ubuntu=0.83=hab24e00_0
+  - fontconfig=2.14.2=h14ed4e7_0
+  - fonts-conda-ecosystem=1=0
+  - fonts-conda-forge=1=0
+  - freeglut=3.2.2=h9c3ff4c_1
+  - freetype=2.12.1=h267a509_2
+  - freexl=1.0.6=h166bdaf_1
+  - fribidi=1.0.10=h36c2ea0_0
+  - gcc_impl_linux-64=13.2.0=h338b0a0_2
+  - gdal=3.5.2=py311hd39052d_7
+  - gdk-pixbuf=2.42.8=hff1cb4f_1
+  - geos=3.11.0=h27087fc_0
+  - geotiff=1.7.1=ha76d385_4
+  - gettext=0.21.1=h27087fc_0
+  - gfortran_impl_linux-64=13.2.0=h76e1118_2
+  - ghostscript=10.02.0=h59595ed_0
+  - giflib=5.2.1=h0b41bf4_3
+  - gmp=6.2.1=h58526e2_0
+  - graphite2=1.3.13=h58526e2_1001
+  - graphviz=6.0.2=h99bc08f_0
+  - gsl=2.7=he838d99_0
+  - gtk2=2.24.33=h90689f9_2
+  - gts=0.7.6=h977cf35_4
+  - gxx_impl_linux-64=13.2.0=h338b0a0_2
+  - harfbuzz=6.0.0=h8e241bc_0
+  - hdf4=4.2.15=h9772cbc_5
+  - hdf5=1.12.2=nompi_h4df4325_101
+  - icu=70.1=h27087fc_0
+  - imagemagick=7.1.0_55=pl5321h0d24a18_0
+  - jasper=2.0.33=h0ff4b12_1
+  - jbig=2.1=h7f98852_2003
+  - jpeg=9e=h0b41bf4_3
+  - json-c=0.16=hc379101_0
+  - kealib=1.4.15=ha7026e8_1
+  - kernel-headers_linux-64=2.6.32=he073ed8_16
+  - keyutils=1.6.1=h166bdaf_0
+  - krb5=1.20.1=h81ceb04_0
+  - lcms2=2.14=h6ed2654_0
+  - ld_impl_linux-64=2.40=h41732ed_0
+  - lerc=4.0.0=h27087fc_0
+  - libaec=1.0.6=hcb278e6_1
+  - libblas=3.9.0=18_linux64_openblas
+  - libcblas=3.9.0=18_linux64_openblas
+  - libcurl=8.1.2=h409715c_0
+  - libdap4=3.20.6=hd7c4107_2
+  - libdeflate=1.14=h166bdaf_0
+  - libedit=3.1.20191231=he28a2e2_2
+  - libev=4.33=h516909a_1
+  - libexpat=2.5.0=hcb278e6_1
+  - libffi=3.4.2=h7f98852_5
+  - libgcc-devel_linux-64=13.2.0=ha9c7c90_2
+  - libgcc-ng=13.2.0=h807b86a_2
+  - libgd=2.3.3=h18fbbfe_3
+  - libgdal=3.5.2=h27ae5c1_7
+  - libgfortran-ng=13.2.0=h69a702a_2
+  - libgfortran5=13.2.0=ha4646dd_2
+  - libglib=2.78.0=hebfc3b9_0
+  - libglu=9.0.0=he1b5a44_1001
+  - libgomp=13.2.0=h807b86a_2
+  - libiconv=1.17=h166bdaf_0
+  - libkml=1.3.0=h37653c0_1015
+  - liblapack=3.9.0=18_linux64_openblas
+  - libnetcdf=4.8.1=nompi_h261ec11_106
+  - libnghttp2=1.52.0=h61bc06f_0
+  - libnsl=2.0.0=hd590300_1
+  - libopenblas=0.3.24=pthreads_h413a1c8_0
+  - libpng=1.6.39=h753d276_0
+  - libpq=14.5=hb675445_5
+  - librsvg=2.54.4=h7abd40a_0
+  - librttopo=1.1.0=hf730bdb_11
+  - libsanitizer=13.2.0=h7e041cc_2
+  - libspatialite=5.0.1=hfbd986c_21
+  - libsqlite=3.43.0=h2797004_0
+  - libssh2=1.11.0=h0841786_0
+  - libstdcxx-devel_linux-64=13.2.0=ha9c7c90_2
+  - libstdcxx-ng=13.2.0=h7e041cc_2
+  - libtiff=4.4.0=h82bc61c_5
+  - libtool=2.4.7=h27087fc_0
+  - libuuid=2.38.1=h0b41bf4_0
+  - libwebp=1.2.4=h522a892_0
+  - libwebp-base=1.2.4=h166bdaf_0
+  - libxcb=1.13=h7f98852_1004
+  - libxml2=2.10.3=hca2bb57_4
+  - libzip=1.10.1=h2629f0a_3
+  - libzlib=1.2.13=hd590300_5
+  - lz4-c=1.9.4=hcb278e6_0
+  - make=4.3=hd18ef5c_1
+  - ncurses=6.4=hcb278e6_0
+  - nspr=4.35=h27087fc_0
+  - nss=3.92=h1d7d5a4_0
+  - numpy=1.26.0=py311h64a7726_0
+  - openjpeg=2.5.0=h7d73246_1
+  - openssl=3.1.3=hd590300_0
+  - pandoc=3.1.3=h32600fe_0
+  - pango=1.50.14=hd33c08f_0
+  - pcre=8.45=h9c3ff4c_0
+  - pcre2=10.40=hc3806b6_0
+  - perl=5.32.1=4_hd590300_perl5
+  - phantomjs=2.1.1=ha770c72_1
+  - pip=23.2.1=pyhd8ed1ab_0
+  - pixman=0.42.2=h59595ed_0
+  - pkg-config=0.29.2=h36c2ea0_1008
+  - poppler=22.10.0=h92391eb_0
+  - poppler-data=0.4.12=hd8ed1ab_0
+  - postgresql=14.5=h3248436_5
+  - proj=9.1.0=h93bde94_0
+  - pthread-stubs=0.4=h36c2ea0_1001
+  - python=3.11.5=hab00c5b_0_cpython
+  - python_abi=3.11=4_cp311
+  - r-abind=1.4_5=r42hc72bb7e_1005
+  - r-askpass=1.2.0=r42h57805ef_0
+  - r-assertthat=0.2.1=r42hc72bb7e_4
+  - r-backports=1.4.1=r42h57805ef_2
+  - r-base=4.2.2=h6b4767f_2
+  - r-base64enc=0.1_3=r42h57805ef_1006
+  - r-bigmemory=4.6.1=r42ha503ecb_2
+  - r-bigmemory.sri=0.1.6=r42hc72bb7e_1
+  - r-brio=1.1.3=r42h57805ef_2
+  - r-bslib=0.5.1=r42hc72bb7e_0
+  - r-cachem=1.0.8=r42h57805ef_1
+  - r-callr=3.7.3=r42hc72bb7e_1
+  - r-class=7.3_22=r42h57805ef_1
+  - r-classint=0.4_10=r42h61816a4_0
+  - r-cli=3.6.1=r42ha503ecb_1
+  - r-climdex.pcic=1.1_11=r42ha503ecb_2
+  - r-climprojdiags=0.3.2=r42hc72bb7e_1
+  - r-clock=0.7.0=r42ha503ecb_1
+  - r-codetools=0.2_19=r42hc72bb7e_1
+  - r-colorspace=2.1_0=r42h57805ef_1
+  - r-commonmark=1.9.0=r42h57805ef_1
+  - r-configr=0.3.5=r42hc72bb7e_1
+  - r-cowplot=1.1.1=r42hc72bb7e_2
+  - r-cpp11=0.4.6=r42hc72bb7e_0
+  - r-crayon=1.5.2=r42hc72bb7e_2
+  - r-curl=5.0.1=r42hf9611b0_0
+  - r-dbi=1.1.3=r42hc72bb7e_2
+  - r-desc=1.4.2=r42hc72bb7e_2
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+  - r-fields=15.2=r42h61816a4_0
+  - r-fnn=1.1.3.2=r42ha503ecb_1
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+  - r-generics=0.1.3=r42hc72bb7e_2
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+  - xorg-renderproto=0.11.1=h7f98852_1002
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+  - xorg-xproto=7.0.31=h7f98852_1007
+  - xz=5.2.6=h166bdaf_0
+  - zlib=1.2.13=hd590300_5
+  - zstd=1.5.5=hfc55251_0
+prefix: /perm/cyce/conda/envs/condaCerise
-- 
GitLab


From df207de8a66d848eef6fc4e2240ecd653b7e0e49 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 3 Oct 2023 09:42:41 +0200
Subject: [PATCH 73/84] Bugfix: Properly call run_method shell variable in
 launch_SUNSET.sh

---
 launch_SUNSET.sh | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index 7f63c97d..dbde12f6 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -39,6 +39,7 @@ if [[ ( $@ == "--help") || $@ == "-h" ]]; then
   exit 0
 fi
 
+set -vx 
 # Assign arguments
 recipe=$1
 script=$2
@@ -103,7 +104,7 @@ Rscript split.R ${recipe} --tmpfile $tmpfile
 # Run with Autosubmit or directly with Slurm's sbatch?
 run_method=$( head -1 $tmpfile | tail -1 )
 # If run method is 'sbatch', launch jobs with dependencies
-if [ run_method == "sbatch" ]; then
+if [ $run_method == "sbatch" ]; then
   # Retrieve working directory
   codedir=$( head -2 $tmpfile | tail -1 )
   # Retrieve output directory
-- 
GitLab


From 0183cdb872bbb79c850b6c166c75e019b599f312 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 3 Oct 2023 09:44:46 +0200
Subject: [PATCH 74/84] Remove 'set -vx'

---
 launch_SUNSET.sh | 1 -
 1 file changed, 1 deletion(-)

diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index dbde12f6..a2bfbb2e 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -39,7 +39,6 @@ if [[ ( $@ == "--help") || $@ == "-h" ]]; then
   exit 0
 fi
 
-set -vx 
 # Assign arguments
 recipe=$1
 script=$2
-- 
GitLab


From fb15452d8ba53f731bce7407ce37aa2885c49395 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 10 Oct 2023 10:11:36 +0200
Subject: [PATCH 75/84] Add notifications to Scorecards jobs

---
 autosubmit/conf_esarchive/jobs.conf | 1 +
 autosubmit/conf_mars/jobs.yml       | 1 +
 tools/write_autosubmit_conf.R       | 8 ++++++++
 3 files changed, 10 insertions(+)

diff --git a/autosubmit/conf_esarchive/jobs.conf b/autosubmit/conf_esarchive/jobs.conf
index f9d26634..b80739a6 100644
--- a/autosubmit/conf_esarchive/jobs.conf
+++ b/autosubmit/conf_esarchive/jobs.conf
@@ -9,6 +9,7 @@ PROCESSORS =
 [scorecards]
 FILE = autosubmit/auto-scorecards.sh
 WALLCLOCK = 00:10
+NOTIFY_ON =
 PLATFORM = nord3v2
 PROCESSORS = 1
 DEPENDENCIES = verification
diff --git a/autosubmit/conf_mars/jobs.yml b/autosubmit/conf_mars/jobs.yml
index aba048bc..273d3d6f 100644
--- a/autosubmit/conf_mars/jobs.yml
+++ b/autosubmit/conf_mars/jobs.yml
@@ -10,6 +10,7 @@ JOBS:
     FILE: autosubmit/auto-scorecards.sh
     WALLCLOCK: 00:10
     PLATFORM: NORD3
+    NOTIFY_ON:
     PROCESSORS: 1
     DEPENDENCIES: verification
 
diff --git a/tools/write_autosubmit_conf.R b/tools/write_autosubmit_conf.R
index bfc708bc..306664c7 100644
--- a/tools/write_autosubmit_conf.R
+++ b/tools/write_autosubmit_conf.R
@@ -56,6 +56,14 @@ write_autosubmit_conf <- function(recipe, nchunks) {
       if (!("Scorecards" %in% names(recipe$Analysis$Workflow)) || 
 	  (!recipe$Analysis$Workflow$Scorecards$execute)) {
         jobs$scorecards <- NULL
+        if (recipe$Run$auto_conf$notify_completed) {
+          obs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
+                                            "COMPLETED")
+        }
+        if (recipe$Run$auto_conf$notify_failed) {
+          obs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
+                                            "FAILED")
+        }
       }
       # Return to original list 
       if (auto_specs$auto_version == "4.0.0") {
-- 
GitLab


From 6f7842c5ad479fd9cc1b730d078d6229506c27b6 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 10 Oct 2023 14:46:16 +0200
Subject: [PATCH 76/84] Fix Scorecards notifications and WIP to add custom
 directives to AS (working only for v4)

---
 autosubmit/conf_esarchive/jobs.conf       |  3 +-
 autosubmit/conf_esarchive2/autosubmit.yml | 22 ++++++++++++
 autosubmit/conf_esarchive2/expdef.yml     | 44 +++++++++++++++++++++++
 autosubmit/conf_esarchive2/jobs.yml       | 16 +++++++++
 autosubmit/conf_esarchive2/platforms.yml  | 11 ++++++
 autosubmit/conf_esarchive2/proj.yml       |  4 +++
 conf/archive.yml                          |  2 +-
 conf/autosubmit.yml                       |  7 ++++
 recipes/tests/recipe_seasonal_example.yml |  7 ++--
 tools/write_autosubmit_conf.R             | 10 +++---
 10 files changed, 117 insertions(+), 9 deletions(-)
 create mode 100644 autosubmit/conf_esarchive2/autosubmit.yml
 create mode 100644 autosubmit/conf_esarchive2/expdef.yml
 create mode 100644 autosubmit/conf_esarchive2/jobs.yml
 create mode 100644 autosubmit/conf_esarchive2/platforms.yml
 create mode 100644 autosubmit/conf_esarchive2/proj.yml

diff --git a/autosubmit/conf_esarchive/jobs.conf b/autosubmit/conf_esarchive/jobs.conf
index b80739a6..82898347 100644
--- a/autosubmit/conf_esarchive/jobs.conf
+++ b/autosubmit/conf_esarchive/jobs.conf
@@ -4,7 +4,8 @@ RUNNING = chunk
 WALLCLOCK = 
 NOTIFY_ON = 
 PLATFORM = nord3v2
-PROCESSORS = 
+PROCESSORS =
+CUSTOM_DIRECTIVES = 
 
 [scorecards]
 FILE = autosubmit/auto-scorecards.sh
diff --git a/autosubmit/conf_esarchive2/autosubmit.yml b/autosubmit/conf_esarchive2/autosubmit.yml
new file mode 100644
index 00000000..03008116
--- /dev/null
+++ b/autosubmit/conf_esarchive2/autosubmit.yml
@@ -0,0 +1,22 @@
+config:
+  EXPID:
+  AUTOSUBMIT_VERSION: 4.0.73
+  MAXWAITINGJOBS: 16
+  # Default maximum number of jobs to be running at the same time at any platform
+  # Default: 6
+  TOTALJOBS: 16
+  SAFETYSLEEPTIME: 10
+  RETRIALS: 0
+mail:
+  NOTIFICATIONS:  
+  TO: 
+communications:
+  # Communications library used to connect with platforms: paramiko or saga.
+  # Default: paramiko
+  API: paramiko
+storage:
+  # Defines the way of storing the progress of the experiment. The available options are:
+  # A PICKLE file (pkl) or an SQLite database (db). Default: pkl
+  TYPE: pkl
+  # Defines if the remote logs will be copied to the local platform. Default: True.
+  COPY_REMOTE_LOGS: True
diff --git a/autosubmit/conf_esarchive2/expdef.yml b/autosubmit/conf_esarchive2/expdef.yml
new file mode 100644
index 00000000..b4327f65
--- /dev/null
+++ b/autosubmit/conf_esarchive2/expdef.yml
@@ -0,0 +1,44 @@
+DEFAULT:
+  EXPID:
+  HPCARCH: NORD3
+experiment:
+  DATELIST:
+  MEMBERS: fc0
+  CHUNKSIZEUNIT: month
+  CHUNKSIZE: 1
+  NUMCHUNKS:
+  CHUNKINI: 1
+  CALENDAR: standard
+project:
+  PROJECT_TYPE: local
+  # Destination folder name for project. type: STRING, default: leave empty,
+  PROJECT_DESTINATION: auto-s2s
+# If PROJECT_TYPE is not git, no need to change
+git:
+  # Repository URL  STRING: 'https://github.com/torvalds/linux.git'
+  PROJECT_ORIGIN: https://earth.bsc.es/gitlab/es/auto-s2s.git 
+  # Select branch or tag, STRING, default: 'master', help: {'master' (default), 'develop', 'v3.1b', ...}
+  PROJECT_BRANCH: master
+  # type: STRING, default: leave empty, help: if model branch is a TAG leave empty
+  PROJECT_COMMIT: ''
+svn:
+  PROJECT_URL: ''
+  PROJECT_REVISION: ''
+# If PROJECT_TYPE is not local, no need to change
+local:
+  # type: STRING, help: /foo/bar/ecearth 
+  PROJECT_PATH: /esarchive/scratch/vagudets/repos/auto-s2s/
+# If PROJECT_TYPE is none, no need to change
+project_files:
+  # Where is PROJECT CONFIGURATION file location relative to project root path
+  FILE_PROJECT_CONF: '' 
+  # Where is JOBS CONFIGURATION file location relative to project root path
+  FILE_JOBS_CONF: ''
+  # Default job scripts type in the project. type: STRING, default: bash, supported: 'bash', 'python' or 'r'
+  JOB_SCRIPTS_TYPE: ''
+rerun:
+  # Is a rerun or not? [Default: Do set FALSE]. BOOLEAN: TRUE, FALSE
+  RERUN: FALSE
+  # If RERUN: TRUE then supply the list of chunks to rerun
+  # LIST: [ 19601101 [ fc0 [1 2 3 4] fc1 [1] ] 19651101 [ fc0 [16-30] ] ]
+  CHUNKLIST: ''
diff --git a/autosubmit/conf_esarchive2/jobs.yml b/autosubmit/conf_esarchive2/jobs.yml
new file mode 100644
index 00000000..273d3d6f
--- /dev/null
+++ b/autosubmit/conf_esarchive2/jobs.yml
@@ -0,0 +1,16 @@
+JOBS:
+  verification:
+    FILE: autosubmit/auto-verification-CERISE.sh
+    RUNNING: chunk
+    WALLCLOCK: 
+    NOTIFY_ON: 
+    PLATFORM: NORD3
+    PROCESSORS: 
+  scorecards:
+    FILE: autosubmit/auto-scorecards.sh
+    WALLCLOCK: 00:10
+    PLATFORM: NORD3
+    NOTIFY_ON:
+    PROCESSORS: 1
+    DEPENDENCIES: verification
+
diff --git a/autosubmit/conf_esarchive2/platforms.yml b/autosubmit/conf_esarchive2/platforms.yml
new file mode 100644
index 00000000..78056d62
--- /dev/null
+++ b/autosubmit/conf_esarchive2/platforms.yml
@@ -0,0 +1,11 @@
+## TODO: Change platform
+Platforms:
+  nord3v2:
+    TYPE: slurm
+    HOST: nord4.bsc.es
+    USER: 
+    PROJECT: bsc32 ## TO BE CHANGED
+    SCRATCH_DIR: /gpfs/scratch/ ## TO BE CHANGED
+    PROCESSORS_PER_NODE: 16
+    SERIAL_QUEUE: debug
+    QUEUE: bsc_es
diff --git a/autosubmit/conf_esarchive2/proj.yml b/autosubmit/conf_esarchive2/proj.yml
new file mode 100644
index 00000000..679cf63b
--- /dev/null
+++ b/autosubmit/conf_esarchive2/proj.yml
@@ -0,0 +1,4 @@
+common:
+  MODULES: "MODULES"
+  OUTDIR: 
+  SCRIPT: 
diff --git a/conf/archive.yml b/conf/archive.yml
index efb57c9e..7d5d8bf9 100644
--- a/conf/archive.yml
+++ b/conf/archive.yml
@@ -1,4 +1,4 @@
-esarchive:
+esarchive2:
     src: "/esarchive/"
     System:
         ECMWF-SEAS5:
diff --git a/conf/autosubmit.yml b/conf/autosubmit.yml
index 8b653a65..3a56e7c3 100644
--- a/conf/autosubmit.yml
+++ b/conf/autosubmit.yml
@@ -12,3 +12,10 @@ mars:
   conf_format: yaml
   experiment_dir: /esarchive/autosubmit/ ## TO BE CHANGED
   userID: bsc32 ## TO BE CHANGED
+esarchive2:
+  platform: nord3v2
+  module_version: autosubmit/4.0.0b-foss-2015a-Python-3.7.3
+  auto_version: 4.0.0
+  conf_format: yaml
+  experiment_dir: /esarchive/autosubmit/ ## TO BE CHANGED
+  userID: bsc32 ## TO BE CHANGED
diff --git a/recipes/tests/recipe_seasonal_example.yml b/recipes/tests/recipe_seasonal_example.yml
index 33662383..b4933b59 100644
--- a/recipes/tests/recipe_seasonal_example.yml
+++ b/recipes/tests/recipe_seasonal_example.yml
@@ -66,17 +66,18 @@ Analysis:
 Run:
   Loglevel: INFO
   Terminal: yes
-  filesystem: esarchive
+  filesystem: esarchive2
   output_dir: /esarchive/scratch/vagudets/auto-s2s-outputs/
   code_dir: /esarchive/scratch/vagudets/repos/auto-s2s/
-  autosubmit: no
+  autosubmit: yes
   # fill only if using autosubmit
   auto_conf:
     script: /esarchive/scratch/vagudets/repos/auto-s2s/example_scripts/test_parallel_workflow.R
     expid: a5no # autosubmit experiment ID
     hpc_user: bsc32762 # your hpc username
-    wallclock: 04:00 # hh:mm
+    wallclock: 01:00 # hh:mm
     processors_per_job: 8 # use ncores parameter?
+    custom_directives: ['#SBATCH --constraint=medmem', '#SBATCH --exclusive']
     platform: nord3v2 # make this constant?
     email_notifications: yes # enable/disable email notifications
     email_address: victoria.agudetse@bsc.es # email address for notifications
diff --git a/tools/write_autosubmit_conf.R b/tools/write_autosubmit_conf.R
index 306664c7..925cbd77 100644
--- a/tools/write_autosubmit_conf.R
+++ b/tools/write_autosubmit_conf.R
@@ -51,18 +51,20 @@ write_autosubmit_conf <- function(recipe, nchunks) {
                                              "FAILED")
       }
       jobs$verification$PROCESSORS <- recipe$Run$auto_conf$processors_per_job # ncores?
+      jobs$verification$CUSTOM_DIRECTIVES <- recipe$Run$auto_conf$custom_directives
       # Only include Scorecards job if section exists in the recipe and 
       # is set to 'execute: True'
       if (!("Scorecards" %in% names(recipe$Analysis$Workflow)) || 
 	  (!recipe$Analysis$Workflow$Scorecards$execute)) {
         jobs$scorecards <- NULL
+      } else {
         if (recipe$Run$auto_conf$notify_completed) {
-          obs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
-                                            "COMPLETED")
+          jobs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
+                                             "COMPLETED")
         }
         if (recipe$Run$auto_conf$notify_failed) {
-          obs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
-                                            "FAILED")
+          jobs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
+                                             "FAILED")
         }
       }
       # Return to original list 
-- 
GitLab


From 57ccc96a4d8642ed53fbd46668827d418525ba71 Mon Sep 17 00:00:00 2001
From: Nadia Milders <nadia.milders@bsc.es>
Date: Wed, 11 Oct 2023 15:53:36 +0200
Subject: [PATCH 77/84] Updated start.months and inf.to.na paramaters

---
 modules/Scorecards/Scorecards.R                   |  8 +++++++-
 .../atomic_recipes/recipe_scorecards_atomic.yml   | 15 ++++++++-------
 2 files changed, 15 insertions(+), 8 deletions(-)

diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
index 3bcb01ce..035452c4 100644
--- a/modules/Scorecards/Scorecards.R
+++ b/modules/Scorecards/Scorecards.R
@@ -29,7 +29,11 @@ Scorecards <- function(recipe) {
   end.year <- as.numeric(recipe$Analysis$Time$hcst_end)
   forecast.months <- recipe$Analysis$Time$ftime_min : recipe$Analysis$Time$ftime_max
   
-  start.months <- 1:12 #recipe$Analysis$Workflow$Scorecards$start_months
+  if(recipe$Analysis$Workflow$Scorecards$start_months == 'all'){
+    start.months <- 1:12
+  } else {
+    start.months <- as.numeric(strsplit(recipe$Analysis$Workflow$Scorecards$start_months, split = " ")[[1]])
+  }
   
   regions <- recipe$Analysis$Workflow$Scorecards$regions  
   for (i in names(regions)){regions[[i]] <- unlist(regions[[i]])}
@@ -61,6 +65,7 @@ Scorecards <- function(recipe) {
     }
   }
   
+  inf.to.na <-  recipe$Analysis$Workflow$Scorecards$inf_to_na
   table.label <-  recipe$Analysis$Workflow$Scorecards$table_label
   fileout.label <- recipe$Analysis$Workflow$Scorecards$fileout_label
   legend.white.space <- recipe$Analysis$Workflow$Scorecards$legend_white_space 
@@ -78,6 +83,7 @@ Scorecards <- function(recipe) {
                                 metrics =  metrics.load,
                                 start.months = start.months,
                                 forecast.months = forecast.months,
+                                inf_to_na = inf.to.na,
                                 input.path = input.path)
   
   
diff --git a/recipes/atomic_recipes/recipe_scorecards_atomic.yml b/recipes/atomic_recipes/recipe_scorecards_atomic.yml
index fc88af22..a8adb6c1 100644
--- a/recipes/atomic_recipes/recipe_scorecards_atomic.yml
+++ b/recipes/atomic_recipes/recipe_scorecards_atomic.yml
@@ -46,24 +46,25 @@ Analysis:
     Indicators:
       index: no
     Scorecards:
+      execute: yes # yes/no 
       regions:
         Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
         Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
         Extra-tropical SH : {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: -90}
-      start_months: NULL
+      start_months: 'all'
       metric: mean_bias enscorr rpss crpss enssprerr
       metric_aggregation: 'score'
-      table_label: NULL
-      fileout_label: NULL
-      col1_width: NULL
-      col2_width: NULL
+      inf_to_na: TRUE
+      table_label: 
+      fileout_label: 
+      col1_width:
+      col2_width: 
       calculate_diff: FALSE
-      #output_path: /esarchive/scratch/nmilders/scorecards_images/testing
   ncores: 7 # Optional, int: number of cores, defaults to 1
   remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
   Output_format: Scorecards #S2S4E
 Run:
   Loglevel: INFO
   Terminal: yes
-  output_dir: /esarchive/scratch/nmilders/scorecards_data/to_system/cross_validation/both_cross_val/
+  output_dir: /esarchive/scratch/nmilders/scorecards_data/new/to_system/cross_validation/all_cross_val/
   code_dir: /esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/
-- 
GitLab


From 600e7f2c7afd606c6d8ea23ace29e54c8796e8b2 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 11 Oct 2023 16:26:36 +0200
Subject: [PATCH 78/84] Add separator options to scorecard start months

---
 modules/Scorecards/Scorecards.R | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/modules/Scorecards/Scorecards.R b/modules/Scorecards/Scorecards.R
index 035452c4..0dbcd921 100644
--- a/modules/Scorecards/Scorecards.R
+++ b/modules/Scorecards/Scorecards.R
@@ -29,10 +29,11 @@ Scorecards <- function(recipe) {
   end.year <- as.numeric(recipe$Analysis$Time$hcst_end)
   forecast.months <- recipe$Analysis$Time$ftime_min : recipe$Analysis$Time$ftime_max
   
-  if(recipe$Analysis$Workflow$Scorecards$start_months == 'all'){
+  if (recipe$Analysis$Workflow$Scorecards$start_months == 'all') {
     start.months <- 1:12
   } else {
-    start.months <- as.numeric(strsplit(recipe$Analysis$Workflow$Scorecards$start_months, split = " ")[[1]])
+    start.months <- as.numeric(strsplit(recipe$Analysis$Workflow$Scorecards$start_months,
+                                        split = ", | |,")[[1]])
   }
   
   regions <- recipe$Analysis$Workflow$Scorecards$regions  
-- 
GitLab


From ed3e15c3e3022eb0aa081fbd1642f0a0073926e3 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 17 Oct 2023 10:47:03 +0200
Subject: [PATCH 79/84] Change autosubmit esarchive configuration to AS version
 4

---
 autosubmit/auto-verification.sh               |  4 +-
 autosubmit/conf_esarchive/autosubmit.conf     | 42 ----------
 .../autosubmit.yml                            |  2 +-
 autosubmit/conf_esarchive/expdef.conf         | 76 -------------------
 .../expdef.yml                                |  2 +-
 autosubmit/conf_esarchive/jobs.conf           | 16 ----
 .../jobs.yml                                  |  6 +-
 autosubmit/conf_esarchive/platforms.conf      | 11 ---
 .../platforms.yml                             |  0
 autosubmit/conf_esarchive/proj.conf           |  6 --
 .../proj.yml                                  |  0
 conf/autosubmit.yml                           | 13 +---
 recipes/recipe_scorecards_vic.yml             |  2 +-
 recipes/tests/recipe_seasonal_example.yml     |  4 +-
 tools/write_autosubmit_conf.R                 | 46 ++++-------
 15 files changed, 28 insertions(+), 202 deletions(-)
 delete mode 100644 autosubmit/conf_esarchive/autosubmit.conf
 rename autosubmit/{conf_esarchive2 => conf_esarchive}/autosubmit.yml (95%)
 delete mode 100644 autosubmit/conf_esarchive/expdef.conf
 rename autosubmit/{conf_esarchive2 => conf_esarchive}/expdef.yml (98%)
 delete mode 100644 autosubmit/conf_esarchive/jobs.conf
 rename autosubmit/{conf_esarchive2 => conf_esarchive}/jobs.yml (72%)
 delete mode 100644 autosubmit/conf_esarchive/platforms.conf
 rename autosubmit/{conf_esarchive2 => conf_esarchive}/platforms.yml (100%)
 delete mode 100644 autosubmit/conf_esarchive/proj.conf
 rename autosubmit/{conf_esarchive2 => conf_esarchive}/proj.yml (100%)

diff --git a/autosubmit/auto-verification.sh b/autosubmit/auto-verification.sh
index bbd06556..0089e322 100644
--- a/autosubmit/auto-verification.sh
+++ b/autosubmit/auto-verification.sh
@@ -2,8 +2,8 @@
 
 ############ AUTOSUBMIT INPUTS ############
 proj_dir=%PROJDIR%
-outdir=%OUTDIR%
-script=%SCRIPT%
+outdir=%common.OUTDIR%
+script=%common.SCRIPT%
 CHUNK=%CHUNK%
 ###############################
 
diff --git a/autosubmit/conf_esarchive/autosubmit.conf b/autosubmit/conf_esarchive/autosubmit.conf
deleted file mode 100644
index 685876a1..00000000
--- a/autosubmit/conf_esarchive/autosubmit.conf
+++ /dev/null
@@ -1,42 +0,0 @@
-[config]
-# Experiment identifier
-# No need to change
-EXPID =
-# No need to change.
-# Autosubmit version identifier
-AUTOSUBMIT_VERSION = 3.14.0
-# Default maximum number of jobs to be waiting in any platform
-# Default = 3
-MAXWAITINGJOBS = 16
-# Default maximum number of jobs to be running at the same time at any platform
-# Default = 6
-TOTALJOBS = 16
-# Time (seconds) between connections to the HPC queue scheduler to poll already submitted jobs status
-# Default = 10
-SAFETYSLEEPTIME = 10
-# Number of retrials if a job fails. Can be override at job level
-# Default = 0
-RETRIALS = 0
-
-[mail]
-# Enable mail notifications
-# Default = False
-NOTIFICATIONS =  
-# Mail address where notifications will be received
-TO = 
-
-[communications]
-# Communications library used to connect with platforms: paramiko or saga.
-# Default = paramiko
-API = paramiko
-
-[storage]
-# Defines the way of storing the progress of the experiment. The available options are:
-# A PICKLE file (pkl) or an SQLite database (db). Default = pkl
-TYPE = pkl
-# Defines if the remote logs will be copied to the local platform. Default = True.
-COPY_REMOTE_LOGS = True
-
-[migrate]
-# Changes experiment files owner.
-TO_USER =
diff --git a/autosubmit/conf_esarchive2/autosubmit.yml b/autosubmit/conf_esarchive/autosubmit.yml
similarity index 95%
rename from autosubmit/conf_esarchive2/autosubmit.yml
rename to autosubmit/conf_esarchive/autosubmit.yml
index 03008116..0fd5d5c6 100644
--- a/autosubmit/conf_esarchive2/autosubmit.yml
+++ b/autosubmit/conf_esarchive/autosubmit.yml
@@ -1,6 +1,6 @@
 config:
   EXPID:
-  AUTOSUBMIT_VERSION: 4.0.73
+  AUTOSUBMIT_VERSION: 4.0.0b0
   MAXWAITINGJOBS: 16
   # Default maximum number of jobs to be running at the same time at any platform
   # Default: 6
diff --git a/autosubmit/conf_esarchive/expdef.conf b/autosubmit/conf_esarchive/expdef.conf
deleted file mode 100644
index d3a3370a..00000000
--- a/autosubmit/conf_esarchive/expdef.conf
+++ /dev/null
@@ -1,76 +0,0 @@
-[DEFAULT]
-# Experiment identifier
-# No need to change
-EXPID =
-# HPC name.
-# No need to change
-HPCARCH = nord3v2 
-
-[experiment]
-# Supply the list of start dates. Available formats: YYYYMMDD YYYYMMDDhh YYYYMMDDhhmm
-# You can also use an abbreviated syntax for multiple dates with common parts: 200001[01 15] <=> 20000101 20000115
-# 200001[01-04] <=> 20000101 20000102 20000103 20000104
-# DATELIST = 19600101 19650101 19700101
-# DATELIST = 1960[0101 0201 0301]
-# DATELIST = 19[60-65]
-DATELIST =  
-# Supply the list of members. Format fcX
-# You can also use an abreviated syntax for multiple members: fc[0 1 2] <=> fc0 fc1 fc2
-# fc[0-2] <=> fc0 fc1 fc2
-# MEMBERS = fc0 fc1 fc2 fc3 fc4
-#MEMBERS = fc4
-MEMBERS = fc0
-# Chunk size unit. STRING = hour, day, month, year
-CHUNKSIZEUNIT = month
-# Chunk size. NUMERIC = 4, 6, 12
-CHUNKSIZE = 1
-# Total number of chunks in experiment. NUMERIC = 30, 15, 10
-NUMCHUNKS = 
-# Initial chunk of the experiment. Optional. DEFAULT = 1
-CHUNKINI =
-# Calendar used. LIST: standard, noleap
-CALENDAR = standard
-
-[project]
-# Select project type. STRING = git, svn, local, none
-# If PROJECT_TYPE is set to none, Autosubmit self-contained dummy templates will be used
-PROJECT_TYPE = local
-# Destination folder name for project. type = STRING, default = leave empty,
-PROJECT_DESTINATION = auto-s2s
-
-# If PROJECT_TYPE is not git, no need to change
-[git]
-# Repository URL  STRING = 'https://github.com/torvalds/linux.git'
-PROJECT_ORIGIN = https://earth.bsc.es/gitlab/es/auto-s2s.git 
-# Select branch or tag, STRING, default = 'master', help = {'master' (default), 'develop', 'v3.1b', ...}
-PROJECT_BRANCH = master
-# type = STRING, default = leave empty, help = if model branch is a TAG leave empty
-PROJECT_COMMIT =
-
-# If PROJECT_TYPE is not svn, no need to change
-[svn]
-# type = STRING, help = 'https://svn.ec-earth.org/ecearth3'
-PROJECT_URL =
-# Select revision number. NUMERIC = 1778
-PROJECT_REVISION =
-
-# If PROJECT_TYPE is not local, no need to change
-[local]
-# type = STRING, help = /foo/bar/ecearth 
-PROJECT_PATH = /esarchive/scratch/vagudets/repos/auto-s2s/
-
-# If PROJECT_TYPE is none, no need to change
-[project_files]
-# Where is PROJECT CONFIGURATION file location relative to project root path
-FILE_PROJECT_CONF = 
-# Where is JOBS CONFIGURATION file location relative to project root path
-FILE_JOBS_CONF =
-# Default job scripts type in the project. type = STRING, default = bash, supported = 'bash', 'python' or 'r'
-JOB_SCRIPTS_TYPE =
-
-[rerun]
-# Is a rerun or not? [Default: Do set FALSE]. BOOLEAN = TRUE, FALSE
-RERUN = FALSE
-# If RERUN = TRUE then supply the list of chunks to rerun
-# LIST = [ 19601101 [ fc0 [1 2 3 4] fc1 [1] ] 19651101 [ fc0 [16-30] ] ]
-CHUNKLIST =
diff --git a/autosubmit/conf_esarchive2/expdef.yml b/autosubmit/conf_esarchive/expdef.yml
similarity index 98%
rename from autosubmit/conf_esarchive2/expdef.yml
rename to autosubmit/conf_esarchive/expdef.yml
index b4327f65..8dc29b27 100644
--- a/autosubmit/conf_esarchive2/expdef.yml
+++ b/autosubmit/conf_esarchive/expdef.yml
@@ -1,6 +1,6 @@
 DEFAULT:
   EXPID:
-  HPCARCH: NORD3
+  HPCARCH: nord3v2
 experiment:
   DATELIST:
   MEMBERS: fc0
diff --git a/autosubmit/conf_esarchive/jobs.conf b/autosubmit/conf_esarchive/jobs.conf
deleted file mode 100644
index 82898347..00000000
--- a/autosubmit/conf_esarchive/jobs.conf
+++ /dev/null
@@ -1,16 +0,0 @@
-[verification]
-FILE = autosubmit/auto-verification.sh
-RUNNING = chunk
-WALLCLOCK = 
-NOTIFY_ON = 
-PLATFORM = nord3v2
-PROCESSORS =
-CUSTOM_DIRECTIVES = 
-
-[scorecards]
-FILE = autosubmit/auto-scorecards.sh
-WALLCLOCK = 00:10
-NOTIFY_ON =
-PLATFORM = nord3v2
-PROCESSORS = 1
-DEPENDENCIES = verification
diff --git a/autosubmit/conf_esarchive2/jobs.yml b/autosubmit/conf_esarchive/jobs.yml
similarity index 72%
rename from autosubmit/conf_esarchive2/jobs.yml
rename to autosubmit/conf_esarchive/jobs.yml
index 273d3d6f..a3c8934b 100644
--- a/autosubmit/conf_esarchive2/jobs.yml
+++ b/autosubmit/conf_esarchive/jobs.yml
@@ -1,15 +1,15 @@
 JOBS:
   verification:
-    FILE: autosubmit/auto-verification-CERISE.sh
+    FILE: autosubmit/auto-verification.sh
     RUNNING: chunk
     WALLCLOCK: 
     NOTIFY_ON: 
-    PLATFORM: NORD3
+    PLATFORM: nord3v2
     PROCESSORS: 
   scorecards:
     FILE: autosubmit/auto-scorecards.sh
     WALLCLOCK: 00:10
-    PLATFORM: NORD3
+    PLATFORM: nord3v2
     NOTIFY_ON:
     PROCESSORS: 1
     DEPENDENCIES: verification
diff --git a/autosubmit/conf_esarchive/platforms.conf b/autosubmit/conf_esarchive/platforms.conf
deleted file mode 100644
index 0f6819d0..00000000
--- a/autosubmit/conf_esarchive/platforms.conf
+++ /dev/null
@@ -1,11 +0,0 @@
-[nord3v2]
-TYPE = slurm
-HOST = nord4.bsc.es
-PROJECT = bsc32
-ADD_PROJECT_TO_HOST = False
-USER = 
-SCRATCH_DIR = /gpfs/scratch
-PROCESSORS_PER_NODE = 16
-SERIAL_QUEUE = debug
-QUEUE = bsc_es
-CUSTOM_DIRECTIVES = ["#SBATCH --exclusive"]
diff --git a/autosubmit/conf_esarchive2/platforms.yml b/autosubmit/conf_esarchive/platforms.yml
similarity index 100%
rename from autosubmit/conf_esarchive2/platforms.yml
rename to autosubmit/conf_esarchive/platforms.yml
diff --git a/autosubmit/conf_esarchive/proj.conf b/autosubmit/conf_esarchive/proj.conf
deleted file mode 100644
index 7322a971..00000000
--- a/autosubmit/conf_esarchive/proj.conf
+++ /dev/null
@@ -1,6 +0,0 @@
-[common]
-
-MODULES = "MODULES"
-OUTDIR = 
-SCRIPT = 
-RECIPE = 
diff --git a/autosubmit/conf_esarchive2/proj.yml b/autosubmit/conf_esarchive/proj.yml
similarity index 100%
rename from autosubmit/conf_esarchive2/proj.yml
rename to autosubmit/conf_esarchive/proj.yml
diff --git a/conf/autosubmit.yml b/conf/autosubmit.yml
index 3a56e7c3..4ff15ffd 100644
--- a/conf/autosubmit.yml
+++ b/conf/autosubmit.yml
@@ -1,8 +1,8 @@
 esarchive:
   platform: nord3v2
-  module_version: autosubmit/3.14.0-foss-2015a-Python-2.7.9
-  auto_version: 3.14.0
-  conf_format: ini
+  module_version: autosubmit/4.0.0b-foss-2015a-Python-3.7.3
+  auto_version: 4.0.0
+  conf_format: yaml
   experiment_dir: /esarchive/autosubmit/
   userID: bsc32
 mars:
@@ -12,10 +12,3 @@ mars:
   conf_format: yaml
   experiment_dir: /esarchive/autosubmit/ ## TO BE CHANGED
   userID: bsc32 ## TO BE CHANGED
-esarchive2:
-  platform: nord3v2
-  module_version: autosubmit/4.0.0b-foss-2015a-Python-3.7.3
-  auto_version: 4.0.0
-  conf_format: yaml
-  experiment_dir: /esarchive/autosubmit/ ## TO BE CHANGED
-  userID: bsc32 ## TO BE CHANGED
diff --git a/recipes/recipe_scorecards_vic.yml b/recipes/recipe_scorecards_vic.yml
index ba62072e..fbd2cb90 100644
--- a/recipes/recipe_scorecards_vic.yml
+++ b/recipes/recipe_scorecards_vic.yml
@@ -14,7 +14,6 @@ Analysis:
   Horizon: Seasonal
   Variables: # ECVs and Indicators?
     - {name: tas, freq: monthly_mean}
-    - {name: prlr, freq: monthly_mean}
   Datasets:
     System: # multiple systems for single model, split if Multimodel = F
       - {name: ECMWF-SEAS5}
@@ -99,6 +98,7 @@ Run:
     wallclock: 03:00 # hh:mm
     processors_per_job: 14
     platform: nord3v2
+    custom_directives: ['#SBATCH --exclusive'] 
     email_notifications: yes # enable/disable email notifications. Change it if you want to.
     email_address: victoria.agudetse@bsc.es # replace with your email address
     notify_completed: yes # notify me by email when a job finishes
diff --git a/recipes/tests/recipe_seasonal_example.yml b/recipes/tests/recipe_seasonal_example.yml
index b4933b59..4ba873c1 100644
--- a/recipes/tests/recipe_seasonal_example.yml
+++ b/recipes/tests/recipe_seasonal_example.yml
@@ -66,14 +66,14 @@ Analysis:
 Run:
   Loglevel: INFO
   Terminal: yes
-  filesystem: esarchive2
+  filesystem: esarchive
   output_dir: /esarchive/scratch/vagudets/auto-s2s-outputs/
   code_dir: /esarchive/scratch/vagudets/repos/auto-s2s/
   autosubmit: yes
   # fill only if using autosubmit
   auto_conf:
     script: /esarchive/scratch/vagudets/repos/auto-s2s/example_scripts/test_parallel_workflow.R
-    expid: a5no # autosubmit experiment ID
+    expid: a6jr # autosubmit experiment ID
     hpc_user: bsc32762 # your hpc username
     wallclock: 01:00 # hh:mm
     processors_per_job: 8 # use ncores parameter?
diff --git a/tools/write_autosubmit_conf.R b/tools/write_autosubmit_conf.R
index 925cbd77..95ca93f0 100644
--- a/tools/write_autosubmit_conf.R
+++ b/tools/write_autosubmit_conf.R
@@ -34,54 +34,38 @@ write_autosubmit_conf <- function(recipe, nchunks) {
       conf$local$PROJECT_PATH <- recipe$Run$code_dir
     } else if (conf_type == "jobs") {
       # Section 3: jobs
-      ## wallclock, notify_on, platform?, processors
-      # Different file structure depending on autosubmit version
-      if (auto_specs$auto_version == "4.0.0") {
-        jobs <- conf$JOBS
-      } else {
-        jobs <- conf
-      }
-      jobs$verification$WALLCLOCK <- recipe$Run$auto_conf$wallclock
+      ## wallclock, notify_on, platform?, processors, 
+      conf$JOBS$verification$WALLCLOCK <- recipe$Run$auto_conf$wallclock
       if (recipe$Run$auto_conf$notify_completed) {
-        jobs$verification$NOTIFY_ON <- paste(jobs$verification$NOTIFY_ON,
-                                             "COMPLETED")
+        conf$JOBS$verification$NOTIFY_ON <- paste(conf$JOBS$verification$NOTIFY_ON,
+                                                  "COMPLETED")
       }
       if (recipe$Run$auto_conf$notify_failed) {
-        jobs$verification$NOTIFY_ON <- paste(jobs$verification$NOTIFY_ON,
-                                             "FAILED")
+        conf$JOBS$verification$NOTIFY_ON <- paste(conf$JOBS$verification$NOTIFY_ON,
+                                                  "FAILED")
       }
-      jobs$verification$PROCESSORS <- recipe$Run$auto_conf$processors_per_job # ncores?
-      jobs$verification$CUSTOM_DIRECTIVES <- recipe$Run$auto_conf$custom_directives
+      conf$JOBS$verification$PROCESSORS <- recipe$Run$auto_conf$processors_per_job # ncores?
+      conf$JOBS$verification$CUSTOM_DIRECTIVES <- recipe$Run$auto_conf$custom_directives
       # Only include Scorecards job if section exists in the recipe and 
       # is set to 'execute: True'
       if (!("Scorecards" %in% names(recipe$Analysis$Workflow)) || 
 	  (!recipe$Analysis$Workflow$Scorecards$execute)) {
-        jobs$scorecards <- NULL
+        conf$JOBS$scorecards <- NULL
       } else {
         if (recipe$Run$auto_conf$notify_completed) {
-          jobs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
-                                             "COMPLETED")
+          conf$JOBS$scorecards$NOTIFY_ON <- paste(conf$JOBS$scorecards$NOTIFY_ON,
+                                                  "COMPLETED")
         }
         if (recipe$Run$auto_conf$notify_failed) {
-          jobs$scorecards$NOTIFY_ON <- paste(jobs$scorecards$NOTIFY_ON,
-                                             "FAILED")
+          conf$JOBS$scorecards$NOTIFY_ON <- paste(conf$JOBS$scorecards$NOTIFY_ON,
+                                                  "FAILED")
         }
       }
-      # Return to original list 
-      if (auto_specs$auto_version == "4.0.0") {
-        conf$JOBS <- jobs
-      } else {
-        conf <- jobs
-      }
     } else if (conf_type == "platforms") {
       # Section 4: platform configuration
       ## nord3v2 configuration... platform name? user, processors_per_node
-      if (auto_specs$auto_version == "4.0.0") {
-        conf$Platforms[[auto_specs$platform]]$USER <- 
-          recipe$Run$auto_conf$hpc_user
-      } else {
-        conf[[auto_specs$platform]]$USER <- recipe$Run$auto_conf$hpc_user
-      }
+      conf$Platforms[[auto_specs$platform]]$USER <- 
+        recipe$Run$auto_conf$hpc_user
     } else if (conf_type == "proj") {
       # Section 5: proj
       ## modules? Info that goes on script, e.g. output directory
-- 
GitLab


From 3cdf5ba4893128c7ecf0568219e62047d5b033a8 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 17 Oct 2023 11:32:45 +0200
Subject: [PATCH 80/84] Restore esarchive name

---
 conf/archive.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/conf/archive.yml b/conf/archive.yml
index 7d5d8bf9..efb57c9e 100644
--- a/conf/archive.yml
+++ b/conf/archive.yml
@@ -1,4 +1,4 @@
-esarchive2:
+esarchive:
     src: "/esarchive/"
     System:
         ECMWF-SEAS5:
-- 
GitLab


From 127d318c162133077ec73858e4a80b7d9d839653 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 11 Oct 2023 16:06:58 +0200
Subject: [PATCH 81/84] Update CI/CD packages

---
 .gitlab-ci.yml | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 8c720372..997870c8 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -7,6 +7,9 @@ unit-test-seasonal:  # This job runs in the test stage.
     - echo "Loading modules..."
     - module load R/4.1.2-foss-2015a-bare
     - module load CDO/1.9.8-foss-2015a
+    - module load GEOS/3.7.2-foss-2015a-Python-3.7.3
+    - module load GDAL/2.2.1-foss-2015a
+    - module load PROJ/4.8.0-foss-2015a
     - module list
     - echo "Running seasonal unit tests..."
     - Rscript ./tests/test_seasonal.R
@@ -17,6 +20,9 @@ unit-test-decadal:  # This job runs in the test stage.
     - echo "Loading modules..."
     - module load R/4.1.2-foss-2015a-bare
     - module load CDO/1.9.8-foss-2015a
+    - module load GEOS/3.7.2-foss-2015a-Python-3.7.3
+    - module load GDAL/2.2.1-foss-2015a
+    - module load PROJ/4.8.0-foss-2015a
     - module list
     - echo "Running decadal unit tests..."
     - Rscript ./tests/test_decadal.R
-- 
GitLab


From f8cddaf46bebc0b642fa245eef93822e973cf904 Mon Sep 17 00:00:00 2001
From: vagudets <victoria.agudetse@bsc.es>
Date: Tue, 17 Oct 2023 12:02:07 +0200
Subject: [PATCH 82/84] Switch to Autosubmit v4 and add custom slurm directives
 to autosubmit section of the recipe

---
 .gitlab-ci.yml                            |  6 ++
 autosubmit/auto-verification.sh           |  4 +-
 autosubmit/conf_esarchive/autosubmit.conf | 42 -------------
 autosubmit/conf_esarchive/autosubmit.yml  | 22 +++++++
 autosubmit/conf_esarchive/expdef.conf     | 76 -----------------------
 autosubmit/conf_esarchive/expdef.yml      | 44 +++++++++++++
 autosubmit/conf_esarchive/jobs.conf       | 14 -----
 autosubmit/conf_esarchive/jobs.yml        | 16 +++++
 autosubmit/conf_esarchive/platforms.conf  | 11 ----
 autosubmit/conf_esarchive/platforms.yml   | 11 ++++
 autosubmit/conf_esarchive/proj.conf       |  6 --
 autosubmit/conf_esarchive/proj.yml        |  4 ++
 autosubmit/conf_mars/jobs.yml             |  1 +
 conf/autosubmit.yml                       |  6 +-
 recipes/recipe_scorecards_vic.yml         |  2 +-
 recipes/tests/recipe_seasonal_example.yml |  7 ++-
 tools/write_autosubmit_conf.R             | 44 ++++++-------
 17 files changed, 133 insertions(+), 183 deletions(-)
 delete mode 100644 autosubmit/conf_esarchive/autosubmit.conf
 create mode 100644 autosubmit/conf_esarchive/autosubmit.yml
 delete mode 100644 autosubmit/conf_esarchive/expdef.conf
 create mode 100644 autosubmit/conf_esarchive/expdef.yml
 delete mode 100644 autosubmit/conf_esarchive/jobs.conf
 create mode 100644 autosubmit/conf_esarchive/jobs.yml
 delete mode 100644 autosubmit/conf_esarchive/platforms.conf
 create mode 100644 autosubmit/conf_esarchive/platforms.yml
 delete mode 100644 autosubmit/conf_esarchive/proj.conf
 create mode 100644 autosubmit/conf_esarchive/proj.yml

diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 8c720372..997870c8 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -7,6 +7,9 @@ unit-test-seasonal:  # This job runs in the test stage.
     - echo "Loading modules..."
     - module load R/4.1.2-foss-2015a-bare
     - module load CDO/1.9.8-foss-2015a
+    - module load GEOS/3.7.2-foss-2015a-Python-3.7.3
+    - module load GDAL/2.2.1-foss-2015a
+    - module load PROJ/4.8.0-foss-2015a
     - module list
     - echo "Running seasonal unit tests..."
     - Rscript ./tests/test_seasonal.R
@@ -17,6 +20,9 @@ unit-test-decadal:  # This job runs in the test stage.
     - echo "Loading modules..."
     - module load R/4.1.2-foss-2015a-bare
     - module load CDO/1.9.8-foss-2015a
+    - module load GEOS/3.7.2-foss-2015a-Python-3.7.3
+    - module load GDAL/2.2.1-foss-2015a
+    - module load PROJ/4.8.0-foss-2015a
     - module list
     - echo "Running decadal unit tests..."
     - Rscript ./tests/test_decadal.R
diff --git a/autosubmit/auto-verification.sh b/autosubmit/auto-verification.sh
index bbd06556..0089e322 100644
--- a/autosubmit/auto-verification.sh
+++ b/autosubmit/auto-verification.sh
@@ -2,8 +2,8 @@
 
 ############ AUTOSUBMIT INPUTS ############
 proj_dir=%PROJDIR%
-outdir=%OUTDIR%
-script=%SCRIPT%
+outdir=%common.OUTDIR%
+script=%common.SCRIPT%
 CHUNK=%CHUNK%
 ###############################
 
diff --git a/autosubmit/conf_esarchive/autosubmit.conf b/autosubmit/conf_esarchive/autosubmit.conf
deleted file mode 100644
index 685876a1..00000000
--- a/autosubmit/conf_esarchive/autosubmit.conf
+++ /dev/null
@@ -1,42 +0,0 @@
-[config]
-# Experiment identifier
-# No need to change
-EXPID =
-# No need to change.
-# Autosubmit version identifier
-AUTOSUBMIT_VERSION = 3.14.0
-# Default maximum number of jobs to be waiting in any platform
-# Default = 3
-MAXWAITINGJOBS = 16
-# Default maximum number of jobs to be running at the same time at any platform
-# Default = 6
-TOTALJOBS = 16
-# Time (seconds) between connections to the HPC queue scheduler to poll already submitted jobs status
-# Default = 10
-SAFETYSLEEPTIME = 10
-# Number of retrials if a job fails. Can be override at job level
-# Default = 0
-RETRIALS = 0
-
-[mail]
-# Enable mail notifications
-# Default = False
-NOTIFICATIONS =  
-# Mail address where notifications will be received
-TO = 
-
-[communications]
-# Communications library used to connect with platforms: paramiko or saga.
-# Default = paramiko
-API = paramiko
-
-[storage]
-# Defines the way of storing the progress of the experiment. The available options are:
-# A PICKLE file (pkl) or an SQLite database (db). Default = pkl
-TYPE = pkl
-# Defines if the remote logs will be copied to the local platform. Default = True.
-COPY_REMOTE_LOGS = True
-
-[migrate]
-# Changes experiment files owner.
-TO_USER =
diff --git a/autosubmit/conf_esarchive/autosubmit.yml b/autosubmit/conf_esarchive/autosubmit.yml
new file mode 100644
index 00000000..0fd5d5c6
--- /dev/null
+++ b/autosubmit/conf_esarchive/autosubmit.yml
@@ -0,0 +1,22 @@
+config:
+  EXPID:
+  AUTOSUBMIT_VERSION: 4.0.0b0
+  MAXWAITINGJOBS: 16
+  # Default maximum number of jobs to be running at the same time at any platform
+  # Default: 6
+  TOTALJOBS: 16
+  SAFETYSLEEPTIME: 10
+  RETRIALS: 0
+mail:
+  NOTIFICATIONS:  
+  TO: 
+communications:
+  # Communications library used to connect with platforms: paramiko or saga.
+  # Default: paramiko
+  API: paramiko
+storage:
+  # Defines the way of storing the progress of the experiment. The available options are:
+  # A PICKLE file (pkl) or an SQLite database (db). Default: pkl
+  TYPE: pkl
+  # Defines if the remote logs will be copied to the local platform. Default: True.
+  COPY_REMOTE_LOGS: True
diff --git a/autosubmit/conf_esarchive/expdef.conf b/autosubmit/conf_esarchive/expdef.conf
deleted file mode 100644
index d3a3370a..00000000
--- a/autosubmit/conf_esarchive/expdef.conf
+++ /dev/null
@@ -1,76 +0,0 @@
-[DEFAULT]
-# Experiment identifier
-# No need to change
-EXPID =
-# HPC name.
-# No need to change
-HPCARCH = nord3v2 
-
-[experiment]
-# Supply the list of start dates. Available formats: YYYYMMDD YYYYMMDDhh YYYYMMDDhhmm
-# You can also use an abbreviated syntax for multiple dates with common parts: 200001[01 15] <=> 20000101 20000115
-# 200001[01-04] <=> 20000101 20000102 20000103 20000104
-# DATELIST = 19600101 19650101 19700101
-# DATELIST = 1960[0101 0201 0301]
-# DATELIST = 19[60-65]
-DATELIST =  
-# Supply the list of members. Format fcX
-# You can also use an abreviated syntax for multiple members: fc[0 1 2] <=> fc0 fc1 fc2
-# fc[0-2] <=> fc0 fc1 fc2
-# MEMBERS = fc0 fc1 fc2 fc3 fc4
-#MEMBERS = fc4
-MEMBERS = fc0
-# Chunk size unit. STRING = hour, day, month, year
-CHUNKSIZEUNIT = month
-# Chunk size. NUMERIC = 4, 6, 12
-CHUNKSIZE = 1
-# Total number of chunks in experiment. NUMERIC = 30, 15, 10
-NUMCHUNKS = 
-# Initial chunk of the experiment. Optional. DEFAULT = 1
-CHUNKINI =
-# Calendar used. LIST: standard, noleap
-CALENDAR = standard
-
-[project]
-# Select project type. STRING = git, svn, local, none
-# If PROJECT_TYPE is set to none, Autosubmit self-contained dummy templates will be used
-PROJECT_TYPE = local
-# Destination folder name for project. type = STRING, default = leave empty,
-PROJECT_DESTINATION = auto-s2s
-
-# If PROJECT_TYPE is not git, no need to change
-[git]
-# Repository URL  STRING = 'https://github.com/torvalds/linux.git'
-PROJECT_ORIGIN = https://earth.bsc.es/gitlab/es/auto-s2s.git 
-# Select branch or tag, STRING, default = 'master', help = {'master' (default), 'develop', 'v3.1b', ...}
-PROJECT_BRANCH = master
-# type = STRING, default = leave empty, help = if model branch is a TAG leave empty
-PROJECT_COMMIT =
-
-# If PROJECT_TYPE is not svn, no need to change
-[svn]
-# type = STRING, help = 'https://svn.ec-earth.org/ecearth3'
-PROJECT_URL =
-# Select revision number. NUMERIC = 1778
-PROJECT_REVISION =
-
-# If PROJECT_TYPE is not local, no need to change
-[local]
-# type = STRING, help = /foo/bar/ecearth 
-PROJECT_PATH = /esarchive/scratch/vagudets/repos/auto-s2s/
-
-# If PROJECT_TYPE is none, no need to change
-[project_files]
-# Where is PROJECT CONFIGURATION file location relative to project root path
-FILE_PROJECT_CONF = 
-# Where is JOBS CONFIGURATION file location relative to project root path
-FILE_JOBS_CONF =
-# Default job scripts type in the project. type = STRING, default = bash, supported = 'bash', 'python' or 'r'
-JOB_SCRIPTS_TYPE =
-
-[rerun]
-# Is a rerun or not? [Default: Do set FALSE]. BOOLEAN = TRUE, FALSE
-RERUN = FALSE
-# If RERUN = TRUE then supply the list of chunks to rerun
-# LIST = [ 19601101 [ fc0 [1 2 3 4] fc1 [1] ] 19651101 [ fc0 [16-30] ] ]
-CHUNKLIST =
diff --git a/autosubmit/conf_esarchive/expdef.yml b/autosubmit/conf_esarchive/expdef.yml
new file mode 100644
index 00000000..8dc29b27
--- /dev/null
+++ b/autosubmit/conf_esarchive/expdef.yml
@@ -0,0 +1,44 @@
+DEFAULT:
+  EXPID:
+  HPCARCH: nord3v2
+experiment:
+  DATELIST:
+  MEMBERS: fc0
+  CHUNKSIZEUNIT: month
+  CHUNKSIZE: 1
+  NUMCHUNKS:
+  CHUNKINI: 1
+  CALENDAR: standard
+project:
+  PROJECT_TYPE: local
+  # Destination folder name for project. type: STRING, default: leave empty,
+  PROJECT_DESTINATION: auto-s2s
+# If PROJECT_TYPE is not git, no need to change
+git:
+  # Repository URL  STRING: 'https://github.com/torvalds/linux.git'
+  PROJECT_ORIGIN: https://earth.bsc.es/gitlab/es/auto-s2s.git 
+  # Select branch or tag, STRING, default: 'master', help: {'master' (default), 'develop', 'v3.1b', ...}
+  PROJECT_BRANCH: master
+  # type: STRING, default: leave empty, help: if model branch is a TAG leave empty
+  PROJECT_COMMIT: ''
+svn:
+  PROJECT_URL: ''
+  PROJECT_REVISION: ''
+# If PROJECT_TYPE is not local, no need to change
+local:
+  # type: STRING, help: /foo/bar/ecearth 
+  PROJECT_PATH: /esarchive/scratch/vagudets/repos/auto-s2s/
+# If PROJECT_TYPE is none, no need to change
+project_files:
+  # Where is PROJECT CONFIGURATION file location relative to project root path
+  FILE_PROJECT_CONF: '' 
+  # Where is JOBS CONFIGURATION file location relative to project root path
+  FILE_JOBS_CONF: ''
+  # Default job scripts type in the project. type: STRING, default: bash, supported: 'bash', 'python' or 'r'
+  JOB_SCRIPTS_TYPE: ''
+rerun:
+  # Is a rerun or not? [Default: Do set FALSE]. BOOLEAN: TRUE, FALSE
+  RERUN: FALSE
+  # If RERUN: TRUE then supply the list of chunks to rerun
+  # LIST: [ 19601101 [ fc0 [1 2 3 4] fc1 [1] ] 19651101 [ fc0 [16-30] ] ]
+  CHUNKLIST: ''
diff --git a/autosubmit/conf_esarchive/jobs.conf b/autosubmit/conf_esarchive/jobs.conf
deleted file mode 100644
index f9d26634..00000000
--- a/autosubmit/conf_esarchive/jobs.conf
+++ /dev/null
@@ -1,14 +0,0 @@
-[verification]
-FILE = autosubmit/auto-verification.sh
-RUNNING = chunk
-WALLCLOCK = 
-NOTIFY_ON = 
-PLATFORM = nord3v2
-PROCESSORS = 
-
-[scorecards]
-FILE = autosubmit/auto-scorecards.sh
-WALLCLOCK = 00:10
-PLATFORM = nord3v2
-PROCESSORS = 1
-DEPENDENCIES = verification
diff --git a/autosubmit/conf_esarchive/jobs.yml b/autosubmit/conf_esarchive/jobs.yml
new file mode 100644
index 00000000..a3c8934b
--- /dev/null
+++ b/autosubmit/conf_esarchive/jobs.yml
@@ -0,0 +1,16 @@
+JOBS:
+  verification:
+    FILE: autosubmit/auto-verification.sh
+    RUNNING: chunk
+    WALLCLOCK: 
+    NOTIFY_ON: 
+    PLATFORM: nord3v2
+    PROCESSORS: 
+  scorecards:
+    FILE: autosubmit/auto-scorecards.sh
+    WALLCLOCK: 00:10
+    PLATFORM: nord3v2
+    NOTIFY_ON:
+    PROCESSORS: 1
+    DEPENDENCIES: verification
+
diff --git a/autosubmit/conf_esarchive/platforms.conf b/autosubmit/conf_esarchive/platforms.conf
deleted file mode 100644
index 0f6819d0..00000000
--- a/autosubmit/conf_esarchive/platforms.conf
+++ /dev/null
@@ -1,11 +0,0 @@
-[nord3v2]
-TYPE = slurm
-HOST = nord4.bsc.es
-PROJECT = bsc32
-ADD_PROJECT_TO_HOST = False
-USER = 
-SCRATCH_DIR = /gpfs/scratch
-PROCESSORS_PER_NODE = 16
-SERIAL_QUEUE = debug
-QUEUE = bsc_es
-CUSTOM_DIRECTIVES = ["#SBATCH --exclusive"]
diff --git a/autosubmit/conf_esarchive/platforms.yml b/autosubmit/conf_esarchive/platforms.yml
new file mode 100644
index 00000000..78056d62
--- /dev/null
+++ b/autosubmit/conf_esarchive/platforms.yml
@@ -0,0 +1,11 @@
+## TODO: Change platform
+Platforms:
+  nord3v2:
+    TYPE: slurm
+    HOST: nord4.bsc.es
+    USER: 
+    PROJECT: bsc32 ## TO BE CHANGED
+    SCRATCH_DIR: /gpfs/scratch/ ## TO BE CHANGED
+    PROCESSORS_PER_NODE: 16
+    SERIAL_QUEUE: debug
+    QUEUE: bsc_es
diff --git a/autosubmit/conf_esarchive/proj.conf b/autosubmit/conf_esarchive/proj.conf
deleted file mode 100644
index 7322a971..00000000
--- a/autosubmit/conf_esarchive/proj.conf
+++ /dev/null
@@ -1,6 +0,0 @@
-[common]
-
-MODULES = "MODULES"
-OUTDIR = 
-SCRIPT = 
-RECIPE = 
diff --git a/autosubmit/conf_esarchive/proj.yml b/autosubmit/conf_esarchive/proj.yml
new file mode 100644
index 00000000..679cf63b
--- /dev/null
+++ b/autosubmit/conf_esarchive/proj.yml
@@ -0,0 +1,4 @@
+common:
+  MODULES: "MODULES"
+  OUTDIR: 
+  SCRIPT: 
diff --git a/autosubmit/conf_mars/jobs.yml b/autosubmit/conf_mars/jobs.yml
index aba048bc..273d3d6f 100644
--- a/autosubmit/conf_mars/jobs.yml
+++ b/autosubmit/conf_mars/jobs.yml
@@ -10,6 +10,7 @@ JOBS:
     FILE: autosubmit/auto-scorecards.sh
     WALLCLOCK: 00:10
     PLATFORM: NORD3
+    NOTIFY_ON:
     PROCESSORS: 1
     DEPENDENCIES: verification
 
diff --git a/conf/autosubmit.yml b/conf/autosubmit.yml
index 8b653a65..4ff15ffd 100644
--- a/conf/autosubmit.yml
+++ b/conf/autosubmit.yml
@@ -1,8 +1,8 @@
 esarchive:
   platform: nord3v2
-  module_version: autosubmit/3.14.0-foss-2015a-Python-2.7.9
-  auto_version: 3.14.0
-  conf_format: ini
+  module_version: autosubmit/4.0.0b-foss-2015a-Python-3.7.3
+  auto_version: 4.0.0
+  conf_format: yaml
   experiment_dir: /esarchive/autosubmit/
   userID: bsc32
 mars:
diff --git a/recipes/recipe_scorecards_vic.yml b/recipes/recipe_scorecards_vic.yml
index ba62072e..fbd2cb90 100644
--- a/recipes/recipe_scorecards_vic.yml
+++ b/recipes/recipe_scorecards_vic.yml
@@ -14,7 +14,6 @@ Analysis:
   Horizon: Seasonal
   Variables: # ECVs and Indicators?
     - {name: tas, freq: monthly_mean}
-    - {name: prlr, freq: monthly_mean}
   Datasets:
     System: # multiple systems for single model, split if Multimodel = F
       - {name: ECMWF-SEAS5}
@@ -99,6 +98,7 @@ Run:
     wallclock: 03:00 # hh:mm
     processors_per_job: 14
     platform: nord3v2
+    custom_directives: ['#SBATCH --exclusive'] 
     email_notifications: yes # enable/disable email notifications. Change it if you want to.
     email_address: victoria.agudetse@bsc.es # replace with your email address
     notify_completed: yes # notify me by email when a job finishes
diff --git a/recipes/tests/recipe_seasonal_example.yml b/recipes/tests/recipe_seasonal_example.yml
index 33662383..4ba873c1 100644
--- a/recipes/tests/recipe_seasonal_example.yml
+++ b/recipes/tests/recipe_seasonal_example.yml
@@ -69,14 +69,15 @@ Run:
   filesystem: esarchive
   output_dir: /esarchive/scratch/vagudets/auto-s2s-outputs/
   code_dir: /esarchive/scratch/vagudets/repos/auto-s2s/
-  autosubmit: no
+  autosubmit: yes
   # fill only if using autosubmit
   auto_conf:
     script: /esarchive/scratch/vagudets/repos/auto-s2s/example_scripts/test_parallel_workflow.R
-    expid: a5no # autosubmit experiment ID
+    expid: a6jr # autosubmit experiment ID
     hpc_user: bsc32762 # your hpc username
-    wallclock: 04:00 # hh:mm
+    wallclock: 01:00 # hh:mm
     processors_per_job: 8 # use ncores parameter?
+    custom_directives: ['#SBATCH --constraint=medmem', '#SBATCH --exclusive']
     platform: nord3v2 # make this constant?
     email_notifications: yes # enable/disable email notifications
     email_address: victoria.agudetse@bsc.es # email address for notifications
diff --git a/tools/write_autosubmit_conf.R b/tools/write_autosubmit_conf.R
index bfc708bc..95ca93f0 100644
--- a/tools/write_autosubmit_conf.R
+++ b/tools/write_autosubmit_conf.R
@@ -34,44 +34,38 @@ write_autosubmit_conf <- function(recipe, nchunks) {
       conf$local$PROJECT_PATH <- recipe$Run$code_dir
     } else if (conf_type == "jobs") {
       # Section 3: jobs
-      ## wallclock, notify_on, platform?, processors
-      # Different file structure depending on autosubmit version
-      if (auto_specs$auto_version == "4.0.0") {
-        jobs <- conf$JOBS
-      } else {
-        jobs <- conf
-      }
-      jobs$verification$WALLCLOCK <- recipe$Run$auto_conf$wallclock
+      ## wallclock, notify_on, platform?, processors, 
+      conf$JOBS$verification$WALLCLOCK <- recipe$Run$auto_conf$wallclock
       if (recipe$Run$auto_conf$notify_completed) {
-        jobs$verification$NOTIFY_ON <- paste(jobs$verification$NOTIFY_ON,
-                                             "COMPLETED")
+        conf$JOBS$verification$NOTIFY_ON <- paste(conf$JOBS$verification$NOTIFY_ON,
+                                                  "COMPLETED")
       }
       if (recipe$Run$auto_conf$notify_failed) {
-        jobs$verification$NOTIFY_ON <- paste(jobs$verification$NOTIFY_ON,
-                                             "FAILED")
+        conf$JOBS$verification$NOTIFY_ON <- paste(conf$JOBS$verification$NOTIFY_ON,
+                                                  "FAILED")
       }
-      jobs$verification$PROCESSORS <- recipe$Run$auto_conf$processors_per_job # ncores?
+      conf$JOBS$verification$PROCESSORS <- recipe$Run$auto_conf$processors_per_job # ncores?
+      conf$JOBS$verification$CUSTOM_DIRECTIVES <- recipe$Run$auto_conf$custom_directives
       # Only include Scorecards job if section exists in the recipe and 
       # is set to 'execute: True'
       if (!("Scorecards" %in% names(recipe$Analysis$Workflow)) || 
 	  (!recipe$Analysis$Workflow$Scorecards$execute)) {
-        jobs$scorecards <- NULL
-      }
-      # Return to original list 
-      if (auto_specs$auto_version == "4.0.0") {
-        conf$JOBS <- jobs
+        conf$JOBS$scorecards <- NULL
       } else {
-        conf <- jobs
+        if (recipe$Run$auto_conf$notify_completed) {
+          conf$JOBS$scorecards$NOTIFY_ON <- paste(conf$JOBS$scorecards$NOTIFY_ON,
+                                                  "COMPLETED")
+        }
+        if (recipe$Run$auto_conf$notify_failed) {
+          conf$JOBS$scorecards$NOTIFY_ON <- paste(conf$JOBS$scorecards$NOTIFY_ON,
+                                                  "FAILED")
+        }
       }
     } else if (conf_type == "platforms") {
       # Section 4: platform configuration
       ## nord3v2 configuration... platform name? user, processors_per_node
-      if (auto_specs$auto_version == "4.0.0") {
-        conf$Platforms[[auto_specs$platform]]$USER <- 
-          recipe$Run$auto_conf$hpc_user
-      } else {
-        conf[[auto_specs$platform]]$USER <- recipe$Run$auto_conf$hpc_user
-      }
+      conf$Platforms[[auto_specs$platform]]$USER <- 
+        recipe$Run$auto_conf$hpc_user
     } else if (conf_type == "proj") {
       # Section 5: proj
       ## modules? Info that goes on script, e.g. output directory
-- 
GitLab


From 2f7eaefccaf50e8ed6293646f9ba8042333e159c Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Tue, 17 Oct 2023 13:32:09 +0200
Subject: [PATCH 83/84] Reorder files and add GRIB option to loading

---
 modules/Loading/Loading.R                     |  26 +-
 modules/Loading/Loading_decadal.R             | 554 ------------------
 modules/Loading/{ => R/GRIB}/GRIB/GrbLoad.R   |   0
 modules/Loading/{ => R/GRIB}/GRIB/s2dv_cube.R |   0
 .../Loading/{Loading_GRIB.R => R/load_GRIB.R} |   5 +-
 recipes/tests/recipe_autosubmit_marstest.yml  |   4 -
 6 files changed, 18 insertions(+), 571 deletions(-)
 delete mode 100644 modules/Loading/Loading_decadal.R
 rename modules/Loading/{ => R/GRIB}/GRIB/GrbLoad.R (100%)
 rename modules/Loading/{ => R/GRIB}/GRIB/s2dv_cube.R (100%)
 rename modules/Loading/{Loading_GRIB.R => R/load_GRIB.R} (99%)

diff --git a/modules/Loading/Loading.R b/modules/Loading/Loading.R
index cf97efc2..d2919594 100644
--- a/modules/Loading/Loading.R
+++ b/modules/Loading/Loading.R
@@ -3,17 +3,23 @@ source("tools/libs.R")
 source("modules/Loading/load_datasets.R")
 
 Loading <- function(recipe) {
-  # Source correct function depending on time horizon
-  ## TODO: Add condition for GRIB files
-  time_horizon <- tolower(recipe$Analysis$Horizon)
-  if (time_horizon == "seasonal") {
-    source("modules/Loading/R/load_seasonal.R")
-    data <- load_seasonal(recipe)
-  } else if (time_horizon == "decadal") {
-    source("modules/Loading/R/load_decadal.R")
-    data <- load_decadal(recipe)
+  # Source correct function depending on filesystem and time horizon
+  # Case: CERISE (Mars)
+  if (tolower(recipe$Run$filesystem) == "mars") {
+    source("modules/Loading/R/load_GRIB.R")
+    data <- load_GRIB(recipe)
   } else {
-    stop("Incorrect time horizon.")
+    # Case: esarchive
+    time_horizon <- tolower(recipe$Analysis$Horizon)
+    if (time_horizon == "seasonal") {
+      source("modules/Loading/R/load_seasonal.R")
+      data <- load_seasonal(recipe)
+    } else if (time_horizon == "decadal") {
+      source("modules/Loading/R/load_decadal.R")
+      data <- load_decadal(recipe)
+    } else {
+      stop("Incorrect time horizon.")
+    }
   }
   return(data)
 }
diff --git a/modules/Loading/Loading_decadal.R b/modules/Loading/Loading_decadal.R
deleted file mode 100644
index d8cc8761..00000000
--- a/modules/Loading/Loading_decadal.R
+++ /dev/null
@@ -1,554 +0,0 @@
-# Loading module:
-# 1. archive.yml
-# 2. recipe.yml
-# 3. Load_decadal.R (V)
-#setwd('/esarchive/scratch/aho/git/auto-s2s/')
-
-## TODO: remove paths to personal scratchs 
-source("/esarchive/scratch/vagudets/repos/csoperational/R/get_regrid_params.R")
-# Load required libraries/funs
-source("modules/Loading/helper_loading_decadal.R")
-source("modules/Loading/R/dates2load.R")
-source("modules/Loading/R/check_latlon.R")
-source("modules/Loading/R/get_timeidx.R")
-source("tools/libs.R")
-
-#====================================================================
-
-# recipe_file <- "recipes/atomic_recipes/recipe_decadal.yml"
-# recipe_file <- "recipes/atomic_recipes/recipe_decadal_daily.yml"
-
-load_datasets <- function(recipe) {
-
-  ## 
-  archive <- read_yaml(paste0("conf/archive_decadal.yml"))$esarchive
-
-  # Print Start() info or not
-  DEBUG <- FALSE
-
-  ## TODO: this should come from the main script 
-  # Create output folder and log:
-  
-  #-------------------------
-  # Read from recipe:
-  #-------------------------
-  exp.name <- recipe$Analysis$Datasets$System$name #'HadGEM3'
-  ref.name <- recipe$Analysis$Datasets$Reference$name #'era5'
-  member <- strsplit(recipe$Analysis$Datasets$System$member, ',')[[1]] #c("r1i1p1f2", "r2i1p1f2")
-#  variable <- recipe$Analysis$Variables$name #'tas'
-  variable <- strsplit(recipe$Analysis$Variables$name, ", | |,")[[1]]
-  store.freq <- recipe$Analysis$Variables$freq #monthly_mean
-  lats.min <- as.numeric(recipe$Analysis$Region$latmin) #0
-  lats.max <- as.numeric(recipe$Analysis$Region$latmax) #10
-  lons.min <- as.numeric(recipe$Analysis$Region$lonmin) #0
-  lons.max <- as.numeric(recipe$Analysis$Region$lonmax) #10
-
-  # change to: sdates <- dates2load(recipe, logger)
-  sdates_hcst <- as.numeric(recipe$Analysis$Time$hcst_start):as.numeric(recipe$Analysis$Time$hcst_end) #1960:2015
-  sdates_fcst <- recipe$Analysis$Time$fcst
- 
-  if (store.freq == "monthly_mean") {
-    time_ind <- (as.numeric(recipe$Analysis$Time$ftime_min):as.numeric(recipe$Analysis$Time$ftime_max))
-
-  } else if (store.freq == "daily_mean") {
-    time_ind <- get_daily_time_ind(ftimemin = as.numeric(recipe$Analysis$Time$ftime_min),
-                                   ftimemax = as.numeric(recipe$Analysis$Time$ftime_max),
-                                   initial_month = archive$System[[exp.name]]$initial_month,
-                                   sdates = sdates_hcst,
-                                   calendar = archive$System[[exp.name]]$calendar)
-  }
-
-#NOTE: May be used in the future
-#  season <- recipe$Analysis$Time$season
-
-  #-------------------------
-  # Read from archive:
-  #-------------------------
-  if (store.freq == "monthly_mean") {
-    table <- archive$System[[exp.name]][[store.freq]]$table[variable]  #list(tas = 'Amon')
-  } else {
-    table <- 'day'
-  }
-  grid <- archive$System[[exp.name]][[store.freq]]$grid[variable]  #list(tas = 'gr')
-  version <- archive$System[[exp.name]][[store.freq]]$version[variable]  #list(tas = 'v20210910')
-  if (identical(member, 'all')) {
-    member <- strsplit(archive$System[[exp.name]]$member, ',')[[1]]
-  }
-
-  #-------------------------
-  # derived from above:
-  #-------------------------
-  # Check lat and lon and decide CircularSort
-   circularsort <- check_latlon(latmin = lats.min, latmax = lats.max, lonmin = lons.min, lonmax = lons.max)
-
-  # generate transform params for system and ref
-  regrid_params <- get_regrid_params(recipe, archive)
-
-  # Only if the time length in each chunk may differ that we need largest_dims_length to be TRUE. Otherwise, set FALSE to increase efficiency.
-  need_largest_dims_length <- ifelse(exp.name == 'EC-Earth3-i2', TRUE, FALSE) 
-
-
-  #-------------------------------------------
-  # Step 1: Load the hcst
-  #-------------------------------------------
-  #monthly and daily
-  tmp <- get_dcpp_path(archive = archive, exp.name = exp.name, table = table, grid = grid,
-                       version = version, sdates = sdates_hcst)
-  path_list <- tmp$path_list
-  multi_path <- tmp$multi_path
-
-  #TODO: to make this case work; enhance Start() if it's possible
-  if (multi_path & length(variable) > 1) {
-    stop("The recipe requests multiple variables and start dates from both dpccA-hindcast and dcppB-forecast. This case is not available for now.")
-  }
-
-  Start_default_arg_list <- list(
-    dat = path_list,
-    var = variable,
-    syear = paste0(sdates_hcst),
-    chunk = 'all',
-    chunk_depends = 'syear',
-    time = indices(time_ind),
-    time_across = 'chunk',
-    merge_across_dims = TRUE,
-    largest_dims_length = need_largest_dims_length,
-    latitude = values(list(lats.min, lats.max)),
-    latitude_reorder = Sort(decreasing = TRUE),
-    longitude = values(list(lons.min, lons.max)),
-    longitude_reorder = circularsort,
-    ensemble = member,
-    transform = regrid_params$fcst.transform,
-    transform_extra_cells = 2,
-    transform_params = list(grid = regrid_params$fcst.gridtype,
-                            method = regrid_params$fcst.gridmethod),
-    transform_vars = c('latitude', 'longitude'),
-#    path_glob_permissive = 2, # for version
-    synonims = list(longitude = c('lon', 'longitude'),
-                    latitude = c('lat', 'latitude')),
-    return_vars = list(latitude = NULL, longitude = NULL,
-                       time = c('syear', 'chunk')),
-    silent = !DEBUG,
-    retrieve = T)
-
-  if (length(variable) > 1) {
-    Start_default_arg_list <- c(Start_default_arg_list, 
-      list(table = table, grid = grid, version = version,
-           table_depends = 'var', grid_depends = 'var', version_depends = 'var',
-           metadata_dims = 'var'))
-  }
-
-  if (!multi_path) {
-    Start_hcst_arg_list <- Start_default_arg_list
-    hcst <- do.call(Start, Start_hcst_arg_list)
-
-  } else {
-    Start_hcst_arg_list <- Start_default_arg_list
-    Start_hcst_arg_list[['syear']] <- NULL
-    Start_hcst_arg_list[['chunk_depends']] <- NULL
-    remove_ind <- which(Start_hcst_arg_list[['return_vars']][['time']] == 'syear')
-    Start_hcst_arg_list[['return_vars']][['time']] <- Start_hcst_arg_list[['return_vars']][['time']][-remove_ind]
-
-    hcst <- do.call(Start, Start_hcst_arg_list)
-
-    # Reshape and reorder dimensions
-    ## dat should be 1, syear should be length of dat; reorder dimensions
-    dim(hcst) <- c(dat = 1, syear = as.numeric(dim(hcst))[1], dim(hcst)[2:6])
-    hcst <- s2dv::Reorder(hcst, c('dat', 'var', 'syear', 'time', 'latitude', 'longitude', 'ensemble'))
-
-    # Manipulate time attr because Start() cannot read it correctly
-    wrong_time_attr <- attr(hcst, 'Variables')$common$time # dim: [time], the first syear only
-    tmp <- array(dim = c(dim(hcst)[c('syear', 'time')]))
-    tmp[1, ] <- wrong_time_attr
-    yr_diff <- (sdates_hcst - sdates_hcst[1])[-1] #diff(sdates_hcst)
-    for (i_syear in 1:length(yr_diff)) {
-      tmp[(i_syear + 1), ] <- wrong_time_attr + lubridate::years(yr_diff[i_syear])
-    }
-    attr(hcst, 'Variables')$common$time <- as.POSIXct(tmp, origin = '1970-01-01', tz = 'UTC')
-
-  }
-
-  tmp_time_attr <- attr(hcst, 'Variables')$common$time
-
-  # change syear to c(sday, sweek, syear)
-  # dim(hcst) should be [dat, var, sday, sweek, syear, time, latitude, longitude, ensemble]
-  dim(hcst) <- c(dim(hcst)[1:2], sday = 1, sweek = 1, dim(hcst)[3:7])
-  if (!identical(dim(tmp_time_attr), dim(hcst)[c('syear', 'time')])) {
-    error(recipe$Run$logger,
-	  "hcst has problem in matching data and time attr dimension.")
-    stop()
-  }
-  dim(attr(hcst, 'Variables')$common$time) <- c(sday = 1, sweek = 1, dim(tmp_time_attr))
-
-  #TODO: as.s2dv_cube() needs to be improved to recognize "variable" is under $dat1
-  if (multi_path) {
-    attributes(hcst)$Variables$common[[variable]] <- attributes(hcst)$Variables$dat1[[variable]]
-  }
-
-  # Change class from startR_array to s2dv_cube
-  suppressWarnings(
-  hcst <- as.s2dv_cube(hcst)
-  )
-
-#-------------------------------------------
-# Step 2: Load the fcst
-#-------------------------------------------
-  if (!is.null(recipe$Analysis$Time$fcst)) {
-
-  tmp <- get_dcpp_path(archive = archive, exp.name = exp.name, table = table, grid = grid, 
-                       version = version, sdates = sdates_fcst)
-  path_list <- tmp$path_list
-  multi_path <- tmp$multi_path
-
-  #TODO: to make this case work; enhance Start() if it's possible
-  if (multi_path & length(variable) > 1) {
-    stop("The recipe requests multiple variables and start dates from both dpccA-hindcast and dcppB-forecast. This case is not available for now.")
-  }
-
-  # monthly & daily
-  if (!multi_path) {
-    #NOTE: the adjustment for two cases (multiple files per sdate or not) has been made in hcst
-    Start_fcst_arg_list <- Start_default_arg_list
-    Start_fcst_arg_list[['dat']] <- path_list
-    Start_fcst_arg_list[['syear']] <- paste0(sdates_fcst)
-    fcst <- do.call(Start, Start_fcst_arg_list)
-
-
-  } else { # multi_path
-
-    #TODO: time attribute is not correct. Improve Start().
-    Start_fcst_arg_list <- Start_default_arg_list
-    Start_fcst_arg_list[['dat']] <- path_list
-    Start_fcst_arg_list[['syear']] <- NULL
-    Start_fcst_arg_list[['chunk_depends']] <- NULL
-    remove_ind <- which(Start_fcst_arg_list[['return_vars']][['time']] == 'syear')
-    Start_fcst_arg_list[['return_vars']][['time']] <- Start_fcst_arg_list[['return_vars']][['time']][-remove_ind]
-    fcst <- do.call(Start, Start_fcst_arg_list)
-
-    # Reshape and reorder dimensions
-    ## dat should be 1, syear should be length of dat; reorder dimensions
-    ## dim(fcst) should be [dat, var, syear, time, latitude, longitude, ensemble]
-    dim(fcst) <- c(dat = 1, syear = as.numeric(dim(fcst))[1], dim(fcst)[2:6])
-    fcst <- s2dv::Reorder(fcst, c('dat', 'var', 'syear', 'time', 'latitude', 'longitude', 'ensemble'))
-
-    # Manipulate time attr because Start() cannot read it correctly
-    wrong_time_attr <- attr(fcst, 'Variables')$common$time # dim: [time], the first syear only
-    tmp <- array(dim = c(dim(fcst)[c('syear', 'time')]))
-    tmp[1, ] <- wrong_time_attr
-    yr_diff <- (sdates_fcst - sdates_fcst[1])[-1] #diff(sdates_fcst)
-    for (i_syear in 1:length(yr_diff)) {
-      tmp[(i_syear + 1), ] <- wrong_time_attr + lubridate::years(yr_diff[i_syear]) 
-    }
-    attr(fcst, 'Variables')$common$time <- as.POSIXct(tmp, origin = '1970-01-01', tz = 'UTC')
-
-  }
-
-  tmp_time_attr <- attr(fcst, 'Variables')$common$time
-
-  # change syear to c(sday, sweek, syear)
-  # dim(fcst) should be [dat, var, sday, sweek, syear, time, latitude, longitude, ensemble]
-  dim(fcst) <- c(dim(fcst)[1:2], sday = 1, sweek = 1, dim(fcst)[3:7])
-  if (!identical(dim(tmp_time_attr), dim(fcst)[c('syear', 'time')])) {
-    error(recipe$Run$logger,
-	  "fcst has problem in matching data and time attr dimension.")
-    stop()
-  }
-  dim(attr(fcst, 'Variables')$common$time) <- c(sday = 1, sweek = 1, dim(tmp_time_attr))
-
-  #TODO: as.s2dv_cube() needs to be improved to recognize "variable" is under $dat1
-  if (multi_path) {
-    attributes(fcst)$Variables$common[[variable]] <- attributes(fcst)$Variables$dat1[[variable]]
-  }
-
-  # Change class from startR_array to s2dv_cube
-  suppressWarnings(
-  fcst <- as.s2dv_cube(fcst)
-  )
-
-  # Only syear could be different
-  if (!identical(dim(hcst$data)[-5], dim(fcst$data)[-5])) {
-    error(recipe$Run$logger,
-          "hcst and fcst do not share the same dimension structure.")
-    stop()
-  }
-
-  } else {
-    fcst <- NULL
-  }
-
-#-------------------------------------------
-# Step 3. Load the reference
-#-------------------------------------------
-  obs.path <- file.path(archive$src, archive$Reference[[ref.name]]$src,
-                        store.freq, "$var$$var_dir$", "$var$_$file_date$.nc")
-  var_dir_obs <- archive$Reference[[ref.name]][[store.freq]][variable] # list(tas = "_f1h-r1440x721cds", tos = "_f1h-r1440x721cds")
-
-#  obs.path <- file.path(archive$src, archive$Reference[[ref.name]]$src, store.freq,
-#                        paste0(variable, archive$Reference[[ref.name]][[store.freq]][[variable]]))
-#  obs.files <- paste0('$var$_$file_date$.nc')
-
-  # Get from startR_cube
-#  dates <- attr(hcst, 'Variables')$common$time
-  # Get from s2dv_cube
-  dates <- hcst$attrs$Dates  
-  dates_file <- sapply(dates, format, '%Y%m')
-  dim(dates_file) <- dim(dates)
-
-  if (store.freq == "daily_mean") {
-#////////////////
-# Method 1: use hcst time attr as obs time selector
-#////////////////
-
-  # Set hour to 12:00 to ensure correct date retrieval for daily data
-  lubridate::hour(dates) <- 12 
-  lubridate::minute(dates) <- 00
-  # Restore correct dimensions
-  dim(dates) <- dim(dates_file)
-
-  obs <- Start(dat = obs.path,
-               var = variable,
-               var_dir = var_dir_obs,
-               var_dir_depends = 'var',
-               file_date = unique(format(dates, '%Y%m')),
-               time = dates, # [sday, sweek, syear, time]
-               time_across = 'file_date',
-               merge_across_dims = TRUE,
-               split_multiselected_dims = TRUE,
-               latitude = values(list(lats.min, lats.max)),
-               latitude_reorder = Sort(decreasing = TRUE), 
-               longitude = values(list(lons.min, lons.max)),
-               longitude_reorder = circularsort,
-               transform = regrid_params$obs.transform,
-               transform_extra_cells = 2,
-               transform_params = list(grid = regrid_params$obs.gridtype, #nc file
-                                       method = regrid_params$obs.gridmethod),
-               transform_vars = c('latitude', 'longitude'),
-               synonims = list(latitude = c('lat','latitude'), 
-                               longitude = c('lon','longitude')),
-               return_vars = list(latitude = NULL, longitude = NULL,
-                                  time = 'file_date'),
-               silent = !DEBUG,
-               retrieve = TRUE)
-
-  } else if (store.freq == "monthly_mean") {
-#////////////////
-# Method 2: reshape hcst time attr's date into an array with time dim then as obs date selector
-#////////////////
-
-  obs <- Start(dat = obs.path,
-               var = variable,
-               var_dir = var_dir_obs,
-               var_dir_depends = 'var',
-               file_date = dates_file, #dates_arr, # [sday, sweek, syear, time]
-               split_multiselected_dims = TRUE,
-               latitude = values(list(lats.min, lats.max)),
-               latitude_reorder = Sort(decreasing = TRUE),
-               longitude = values(list(lons.min, lons.max)),
-               longitude_reorder = circularsort,
-               transform = regrid_params$obs.transform,
-               transform_extra_cells = 2,
-               transform_params = list(grid = regrid_params$obs.gridtype, #nc file
-                                       method = regrid_params$obs.gridmethod),
-               transform_vars = c('latitude', 'longitude'),
-               synonims = list(latitude = c('lat','latitude'),
-                               longitude = c('lon','longitude')),
-               return_vars = list(latitude = NULL, longitude = NULL,
-                                  time = 'file_date'),
-               metadata_dims = 'var',
-               silent = !DEBUG,
-               retrieve = TRUE)
-  }
-
-
-#dim(attr(obs, 'Variables')$common$time)
-# sday sweek syear  time 
-#    1     1     2    14 
-
-  # Remove var_dir dimension
-  obs <- Subset(obs, along = "var_dir", indices = 1, drop = "selected")
-
-  # Only ensemble dim could be different
-  if (!identical(dim(obs), dim(hcst$data)[-9])) {
-    error(recipe$Run$logger,
-	  "obs and hcst dimensions do not match.")
-    stop()
-  }
-  # Add ensemble dim to obs
-  dim(obs) <- c(dim(obs), ensemble = 1)
-
-  # Change class from startR_array to s2dv_cube
-  suppressWarnings(
-  obs <- as.s2dv_cube(obs)
-  )
-
-#-------------------------------------------
-# Step 4. Verify the consistance between data
-#-------------------------------------------
-  # dimension
-  if (any(!names(dim(obs$data)) %in% names(dim(hcst$data)))) {
-    error(recipe$Run$logger,
-	  "hcst and obs don't share the same dimension names.")
-    stop()
-  } else {
-    ens_ind <- which(names(dim(obs$data)) == 'ensemble')
-    match_ind <- match(names(dim(obs$data))[-ens_ind], names(dim(hcst$data)))
-    if (!all(dim(hcst$data)[match_ind] == dim(obs$data)[-ens_ind])) {
-      error(recipe$Run$logger,
-	    "hcst and obs don't share the same dimension length.")
-      stop()
-    }
-  }
-
-  # time attribute
-  if (!identical(format(hcst$attrs$Dates, '%Y%m'),
-                 format(obs$attrs$Dates, '%Y%m'))) {
-    error(recipe$Run$logger,
-	  "hcst and obs don't share the same time.")
-    stop()
-  }
-
-  # lat and lon attributes
-  if (!(recipe$Analysis$Regrid$type == 'none')) {
-    if (!isTRUE(all.equal(as.vector(hcst$lat), as.vector(obs$lat)))) {
-      lat_error_msg <- paste("Latitude mismatch between hcst and obs.",
-			     "Please check the original grids and the",
-			     "regrid parameters in your recipe.")
-      error(recipe$Run$logger, lat_error_msg)
-      hcst_lat_msg <- paste0("First hcst lat: ", hcst$lat[1],
-			     "; Last hcst lat: ", hcst$lat[length(hcst$lat)])
-      info(recipe$Run$logger, hcst_lat_msg)
-      obs_lat_msg <- paste0("First obs lat: ", obs$lat[1],
-			     "; Last obs lat: ", obs$lat[length(obs$lat)])
-      info(recipe$Run$logger, obs_lat_msg)
-      stop("hcst and obs don't share the same latitudes.")
-    }
-
-    if (!isTRUE(all.equal(as.vector(hcst$lon), as.vector(obs$lon)))) {
-      lon_error_msg <- paste("Longitude mismatch between hcst and obs.",
-			     "Please check the original grids and the",
-			     "regrid parameters in your recipe.")
-      error(recipe$Run$logger, lon_error_msg)
-      hcst_lon_msg <- paste0("First hcst lon: ", hcst$lon[1],
-			     "; Last hcst lon: ", hcst$lon[length(hcst$lon)])
-      info(recipe$Run$logger, hcst_lon_msg)
-      obs_lon_msg <- paste0("First obs lon: ", obs$lon[1],
-			     "; Last obs lon: ", obs$lon[length(obs$lon)])
-      info(recipe$Run$logger, obs_lon_msg)
-      stop("hcst and obs don't share the same longitudes.")
-    }
- }
-
-  # Check fcst
-  if (!is.null(fcst)) {
-    # dimension
-    if (any(!names(dim(fcst$data)) %in% names(dim(hcst$data)))) {
-      error(recipe$Run$logger,
-	    "hcst and fcst don't share the same dimension names.")
-      stop()
-    } else {
-      ens_ind <- which(names(dim(fcst$data)) %in% c('ensemble', 'syear'))
-      match_ind <- match(names(dim(fcst$data))[-ens_ind], names(dim(hcst$data)))
-      if (!all(dim(hcst$data)[match_ind] == dim(fcst$data)[-ens_ind])) {
-        error(recipe$Run$logger,
-	      "hcst and fcst don't share the same dimension length.")
-        stop()
-      }
-    }
-
-    # lat and lon attributes
-    if (!(recipe$Analysis$Regrid$type == 'none')) {
-      if (!identical(as.vector(hcst$lat), as.vector(fcst$lat))) {
-        lat_error_msg <- paste("Latitude mismatch between hcst and fcst.",
-                               "Please check the original grids and the",
-                               "regrid parameters in your recipe.")
-        error(recipe$Run$logger, lat_error_msg)
-        hcst_lat_msg <- paste0("First hcst lat: ", hcst$lat[1],
-                               "; Last hcst lat: ", hcst$lat[length(hcst$lat)])
-        info(recipe$Run$logger, hcst_lat_msg)
-        fcst_lat_msg <- paste0("First fcst lat: ", fcst$lat[1],
-                               "; Last fcst lat: ", fcst$lat[length(fcst$lat)])
-        info(recipe$Run$logger, fcst_lat_msg)
-        stop("hcst and fcst don't share the same latitudes.")
-      }
-
-      if (!identical(as.vector(hcst$lon), as.vector(fcst$lon))) {
-        lon_error_msg <- paste("Longitude mismatch between hcst and fcst.",
-                               "Please check the original grids and the",
-                               "regrid parameters in your recipe.")
-        error(recipe$Run$logger, lon_error_msg)
-        hcst_lon_msg <- paste0("First hcst lon: ", hcst$lon[1],
-                               "; Last hcst lon: ", hcst$lon[length(hcst$lon)])
-        info(recipe$Run$logger, hcst_lon_msg)
-        fcst_lon_msg <- paste0("First fcst lon: ", fcst$lon[1],
-                               "; Last fcst lon: ", fcst$lon[length(fcst$lon)])
-        info(recipe$Run$logger, fcst_lon_msg)
-        stop("hcst and fcst don't share the same longitudes.")
-      }
-    }
-
-  }
-
-
-#-------------------------------------------
-# Step 5. Tune data
-#-------------------------------------------
-  # Remove negative values in accumulative variables
-  dictionary <- read_yaml("conf/variable-dictionary.yml")
-  for (var_idx in 1:length(variable)) {
-    var_name <- variable[var_idx]
-    if (dictionary$vars[[var_name]]$accum) {
-      info(recipe$Run$logger,
-           paste0("Accumulated variable ", var_name,
-                  ": setting negative values to zero."))
-      # obs$data[, var_idx, , , , , , , ] <- pmax(Subset(obs$data,
-      #                                                along = "var",
-      #                                                indices = var_idx, F), 0)
-      obs$data[, var_idx, , , , , , , ][obs$data[, var_idx, , , , , , , ] < 0] <- 0
-      hcst$data[, var_idx, , , , , , , ][hcst$data[, var_idx, , , , , , , ] < 0] <- 0
-      if (!is.null(fcst)) {
-        fcst$data[, var_idx, , , , , , , ][fcst$data[, var_idx, , , , , , , ] < 0] <- 0
-      }
-    }
-    
-    # Convert prlr from m/s to mm/day
-    ## TODO: Make a unit conversion function
-    if (variable[[var_idx]] == "prlr") {
-      # Verify that the units are m/s and the same in obs and hcst
-      if (((obs$attrs$Variable$metadata[[var_name]]$units == "m s-1") ||
-           (obs$attrs$Variable$metadata[[var_name]]$units == "m s**-1")) &&
-          ((hcst$attrs$Variable$metadata[[var_name]]$units == "m s-1") ||
-           (hcst$attrs$Variable$metadata[[var_name]]$units == "m s**-1"))) {
-        info(recipe$Run$logger, "Converting precipitation from m/s to mm/day.")
-        obs$data[, var_idx, , , , , , , ] <-
-          obs$data[, var_idx, , , , , , , ]*86400*1000
-        obs$attrs$Variable$metadata[[var_name]]$units <- "mm/day"
-        hcst$data[, var_idx, , , , , , , ] <-
-          hcst$data[, var_idx, , , , , , , ]*86400*1000
-        hcst$attrs$Variable$metadata[[var_name]]$units <- "mm/day"
-        if (!is.null(fcst)) {
-          fcst$data[, var_idx, , , , , , , ] <- 
-            fcst$data[, var_idx, , , , , , , ]*86400*1000
-          fcst$attrs$Variable$metadata[[var_name]]$units <- "mm/day"
-        }
-      }
-    }
-  }
-
-#-------------------------------------------
-# Step 6. Print summary
-#-------------------------------------------
-
-  # Print a summary of the loaded data for the user, for each object
-  if (recipe$Run$logger$threshold <= 2) {
-    data_summary(hcst, recipe)
-    data_summary(obs, recipe)
-    if (!is.null(fcst)) {
-      data_summary(fcst, recipe)
-    }
-  }
-
-  info(recipe$Run$logger,
-       "##### DATA LOADING COMPLETED SUCCESSFULLY #####")
-  .log_memory_usage(recipe$Run$logger, when = "After loading")
-
-  return(list(hcst = hcst, fcst = fcst, obs = obs))
-}
diff --git a/modules/Loading/GRIB/GrbLoad.R b/modules/Loading/R/GRIB/GRIB/GrbLoad.R
similarity index 100%
rename from modules/Loading/GRIB/GrbLoad.R
rename to modules/Loading/R/GRIB/GRIB/GrbLoad.R
diff --git a/modules/Loading/GRIB/s2dv_cube.R b/modules/Loading/R/GRIB/GRIB/s2dv_cube.R
similarity index 100%
rename from modules/Loading/GRIB/s2dv_cube.R
rename to modules/Loading/R/GRIB/GRIB/s2dv_cube.R
diff --git a/modules/Loading/Loading_GRIB.R b/modules/Loading/R/load_GRIB.R
similarity index 99%
rename from modules/Loading/Loading_GRIB.R
rename to modules/Loading/R/load_GRIB.R
index 3c82172a..8ae2a74d 100644
--- a/modules/Loading/Loading_GRIB.R
+++ b/modules/Loading/R/load_GRIB.R
@@ -2,11 +2,10 @@
 # Load GRIB files from MARS
 #################################################
 
-source('modules/Loading/GRIB/GrbLoad.R')
+source('modules/Loading/R/GRIB/GrbLoad.R')
 source('tools/libs.R')
 
-load_datasets <- function(recipe) {
-
+load_GRIB <- function(recipe) {
 
   # Set params
   #-------------------------------------------------------------------
diff --git a/recipes/tests/recipe_autosubmit_marstest.yml b/recipes/tests/recipe_autosubmit_marstest.yml
index ebb43374..24b90797 100644
--- a/recipes/tests/recipe_autosubmit_marstest.yml
+++ b/recipes/tests/recipe_autosubmit_marstest.yml
@@ -69,11 +69,7 @@ Run:
   autosubmit: yes
   # fill only if using autosubmit
   auto_conf:
-<<<<<<< HEAD
-    script: /esarchive/scratch/vagudets/repos/auto-s2s/modules/test_parallel_GRIB.R # path to the script to run
-=======
     script: /esarchive/scratch/vagudets/repos/auto-s2s/example_scripts/test_parallel_workflow.R # path to the script to run
->>>>>>> master
     expid: a5ta ## if left empty, create new exp?
     hpc_user: bsc32762 # your hpc username
     wallclock: 02:30 # hh:mm
-- 
GitLab


From bcd513e9fa7cf1d6f49e37628fce575fee37e364 Mon Sep 17 00:00:00 2001
From: Victoria Agudetse Roures <victoria.agudetse@bsc.es>
Date: Wed, 18 Oct 2023 11:10:22 +0200
Subject: [PATCH 84/84] Add --disable_unique_ID flag to SUNSET launcher

---
 launch_SUNSET.sh | 10 ++++++++--
 split.R          |  2 +-
 2 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/launch_SUNSET.sh b/launch_SUNSET.sh
index a2bfbb2e..eb8fcf46 100644
--- a/launch_SUNSET.sh
+++ b/launch_SUNSET.sh
@@ -17,7 +17,7 @@
 
 function usage
 {
-  echo "Usage: $0 <path_to_recipe> <path_to_script> --wallclock=<hh:mm:ss> --custom_directives=<custom_slurm_directives>"
+  echo "Usage: $0 <path_to_recipe> <path_to_script> --wallclock=<hh:mm:ss> --custom_directives=<custom_slurm_directives> --disable_unique_ID"
   echo " "
   echo "  <path_to_recipe>: Path to the SUNSET recipe."
   echo " "
@@ -32,6 +32,8 @@ function usage
   echo " "
   echo " --custom_directives=<custom_directives>: Custom directives for sbatch."
   echo "                                          E.g. '--constraint=medmem'."
+  echo " "
+  echo " --disable_unique_ID: Do not add a unique ID to the output folder name."
 }
 
 if [[ ( $@ == "--help") || $@ == "-h" ]]; then
@@ -57,6 +59,10 @@ for i in "$@"; do
       export custom_directives=`echo $1 | sed -e 's/^[^=]*=//g'`
       shift
       ;;
+    --disable_unique_ID)
+      export disable_unique_ID="--disable_unique_ID"
+      shift
+      ;;
     -h|--help)
       usage
       exit 0
@@ -98,7 +104,7 @@ tmpfile=$(mktemp ${TMPDIR-/tmp}/SUNSET.XXXXXX)
 
 # Create outdir and split recipes
 source MODULES
-Rscript split.R ${recipe} --tmpfile $tmpfile
+Rscript split.R ${recipe} $disable_unique_ID --tmpfile $tmpfile
 
 # Run with Autosubmit or directly with Slurm's sbatch?
 run_method=$( head -1 $tmpfile | tail -1 )
diff --git a/split.R b/split.R
index 58b34a87..a7943734 100755
--- a/split.R
+++ b/split.R
@@ -14,7 +14,7 @@ Usage:
 Options:
     -h --help  Show usage.
     --disable_unique_ID  Do not add a unique ID to the output folder name.
-    --tmpfile=<file_path>  Temporary file to store output and code directories. Handled by launch.sh.
+    --tmpfile=<file_path>  Temporary file to store output and code directories. Handled by launch_SUNSET.sh.
 
 Arguments:
     recipe  path to the recipe."
-- 
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