CMORizer for ESACCI-SEAICE

doc/sphinx/source/input.rst

@@ -333,6 +333,8 @@ A list of the datasets for which a CMORizers is available is provided in the fol
 +------------------------------+------------------------------------------------------------------------------------------------------+------+-----------------+
 | ESACCI-OZONE                 | toz, tozStderr, tro3prof, tro3profStderr (Amon)                                                      |   2  | NCL             |
 +------------------------------+------------------------------------------------------------------------------------------------------+------+-----------------+
+| ESACCI-SEAICE                | siconc (SIday, SImon)                                                                                |   2  | Python          |
++------------------------------+------------------------------------------------------------------------------------------------------+------+-----------------+
 | ESACCI-SEA-SURFACE-SALINITY  | sos (Omon)                                                                                           |   2  | Python          |
 +------------------------------+------------------------------------------------------------------------------------------------------+------+-----------------+
 | ESACCI-SOILMOISTURE          | sm (Eday, Lmon), smStderr (Eday)                                                                     |   2  | Python          |

esmvaltool/cmorizers/data/cmor_config/ESACCI-SEAICE.yml

@@ -0,0 +1,23 @@
+---
+# Common global attributes for Cmorizer output
+attributes:
+  dataset_id: ESACCI-SEAICE
+  version: L4-SICONC-RE-SSMI-12.5kmEASE2-fv3.0
+  tier: 2
+  modeling_realm: sat
+  project_id: OBS6
+  source: 'ftp://anon-ftp.ceda.ac.uk/neodc/esacci/sea_ice_'
+  reference: 'esacci-seaice'
+  comment: ''
+
+# Variables to cmorize (here use only filename prefix)
+variables:
+# daily and monthly frequency 
+  siconc:
+    short_name: siconc
+    mip1: SIday
+    mip2: SImon
+    raw: ice_conc
+    frequency1: day
+    frequency2: mon
+    file: ESACCI-SEAICE-L4-SICONC-RE_SSMI_12.5kmEASE2-{region}-{year}*-fv3.0.nc

esmvaltool/cmorizers/data/datasets.yml

@@ -529,6 +529,15 @@ datasets:
         limb_profiles/l3/merged/merged_monthly_zonal_mean/v0002
       Put all files under a single directory (no subdirectories with years).
 
+  ESACCI-SEAICE:
+    tier: 2
+    source: ftp://anon-ftp.ceda.ac.uk/neodc/esacci/sea_ice/data/
+    last_access: 2024-11-07
+    info: |
+      Download the data from:
+        sea_ice_concentration/L4/ssmi_ssmis/12.5km/v3.0/*/
+      Put all files under a single directory (no subdirectories with years / months).
+
   ESACCI-SOILMOISTURE:
     tier: 2
     source: ftp://anon-ftp.ceda.ac.uk/neodc/esacci/soil_moisture/data/

esmvaltool/cmorizers/data/downloaders/datasets/esacci_seaice.py

@@ -0,0 +1,52 @@
+"""Script to download ESACCI-SEAICE."""
+from datetime import datetime
+
+from dateutil import relativedelta
+
+from esmvaltool.cmorizers.data.downloaders.ftp import CCIDownloader
+
+
+def download_dataset(config, dataset, dataset_info, start_date, end_date,
+                     overwrite):
+    """Download dataset.
+
+    Parameters
+    ----------
+    config : dict
+        ESMValTool's user configuration
+    dataset : str
+        Name of the dataset
+    dataset_info : dict
+         Dataset information from the datasets.yml file
+    start_date : datetime
+        Start of the interval to download
+    end_date : datetime
+        End of the interval to download
+    overwrite : bool
+        Overwrite already downloaded files
+    """
+    if start_date is None:
+        start_date = datetime(1991, 1, 1)
+    if end_date is None:
+        end_date = datetime(2020, 12, 31)
+
+    downloader = CCIDownloader(
+        config=config,
+        dataset=dataset,
+        dataset_info=dataset_info,
+        overwrite=overwrite,
+    )
+    downloader.ftp_name = 'sea_ice'
+    downloader.connect()
+
+    regions = ('NH', 'SH')
+    basepath = 'sea_ice_concentration/L4/ssmi_ssmis/12.5km/v3.0'
+
+    loop_date = start_date
+    while loop_date <= end_date:
+        for region in regions:
+            path = (f'{basepath}/{region}/{loop_date.year}/'
+                    f'{loop_date.month:02d}')
+            downloader.set_cwd(path)
+            downloader.download_folder('.', sub_folder=region)
+        loop_date += relativedelta.relativedelta(months=1)