Add ERA5 Monthly Single Levels 1979-2024 artifact

README.md

@@ -58,6 +58,7 @@ S. Gupta et al 2022, 2024](https://github.com/CliMA/ClimaArtifacts/tree/main/soi
 - [ERA5 Land Forcing Data 2008](https:////github.com/CliMA/ClimaArtifacts/tree/main/era5_land_forcing_data2008)
 - [ERA5 Monthly Averages on Pressure Levels 1979-2024](https:////github.com/CliMA/ClimaArtifacts/tree/main/era5_monthly_averages_pressure_levels_1979_2024)
 - [TOPMODEL topographic index statistics](https:////github.com/CliMA/ClimaArtifacts/tree/main/topmodel)
+- [ERA5 Monthly Averages on Single Levels 1979-2024](https:////github.com/CliMA/ClimaArtifacts/tree/main/era5_monthly_averages_single_level_1979_2024)
 
 # The ultimate guide to ClimaArtifacts
 

era5_monthly_averages_2008/README.md

@@ -1,4 +1,4 @@
-# ERA5 monthly averages
+# ERA5 monthly averages 2008
 
 This artifact processes data coming from [ERA5 monthly averaged reanalysis](https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=download) and contains
 monthly averaged surface fluxes and runoff rates.
@@ -41,37 +41,37 @@ There processing of the downloaded dataset results in two output datasets:
 
 Both of the output datasets contain the same variables and spatial coverage, but the variables are defined on different time dimensions.
 
-## Spatial Coverage
+### Spatial Coverage
 
 - 1 degree latitude x 1 degree longitude grid
 - -90N to 90N and 0E to 359E
 - The latitudes are reversed during processing to be in increasing order
 
 The shared variables, which are all stored as Float32s and defined on the latitude, longitude, and time dimensions, are:
 
-## `mslhf`
+### `mslhf`
 
 This is the mean surface latent heat flux in units of W m**-2. No processing is done to this variable other than flipping the latitude dimension.
 
-## `msshf`
+### `msshf`
 
 This is the mean surface sensible heat flux in units of W m**-2. No processing is done to this variable other than flipping the latitude dimension.
 
-## `mssror`
+### `mssror`
 
 This is the mean sub-surface runoff rate in units of kg m**-2 s**-1. No processing is done to this variable other than flipping the latitude dimension.
 
-## `msror`
+### `msror`
 
 This is the mean surface runoff rate in units of kg m**-2 s**-1. No processing is done to this variable other than flipping the latitude dimension.
 
-## `msuwlwrf`
+### `msuwlwrf`
 
 This is the mean surface upward long-wave radiation flux in units of W m**-2.
 This variable is created during processing by taking the difference of
 mean surface downward long-wave radiation flux and mean surface net long-wave radiation flux, and then flipping the latitude dimension.
 
-## `msuwswrf`
+### `msuwswrf`
 
 This is the mean surface upward short-wave radiation flux in units of W m**-2.
 This variable is created during processing by taking the difference of
@@ -84,7 +84,7 @@ The two output files have different temporal coverage.
 ### `era5_monthly_surface_fluxes_200801-200812.nc`
 
 This file contains Monthly averaged reanalysis, which is produced by averaging all daily data for each month. This results in 12 points on the
-time dimension, where each point in the 15th of the month that the point represents. For example, the 6th index of `time` is 2008-06-15T00:00:00,
+time dimension, where each point is the 15th of the month that the point represents. For example, the 6th index of `time` is 2008-06-15T00:00:00,
 which represents the whole month of June in 2008.
 
 ### `era5_monthly_surface_fluxes_hourly_200801-200812.nc`
@@ -94,8 +94,8 @@ This file contains Monthly averages by hour of day, which constitutes the averag
 
 ## Citation
 
-Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on DD-MMM-YYYY)
+Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 11-11-2024)
 
 ## License
 
-See the [LICENSE](LICENSE.txt) file
+See the [LICENSE](LICENSE.txt) file

era5_monthly_averages_2008/create_artifact.jl

@@ -30,7 +30,7 @@ if !isfile(DOWNLOAD_FILE_NAME)
         println("Enter your CDS Personal Access Token:")
         cds_PAT = readline()
         println("Downloading data with CDS API using PAT: $cds_PAT")
-        run(`python download_data.py $cds_PAT`)
+        run(`python download_data.py -k $cds_PAT`)
     end
 end
 

era5_monthly_averages_2008/subset_of_data.jl

@@ -49,7 +49,6 @@ function create_new_ds_from_time_indx(
                 Float32.(reverse(var[:, :, time_indx], dims = 2)),
                 dimnames(var);
                 attrib = attrib,
-                # attrib = copy(var.attrib),
                 deflatelevel = 9,
             )
         end

era5_monthly_averages_single_level_1979_2024/LICENSE.txt

@@ -0,0 +1,93 @@
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+Version 1.2 (November 2019)