cds complete added

cds_retrieve_complete_examples/Get_T2m_hourly_CDS_complete_HARMONIE_forecast.py

+#!/usr/bin/env python
+
+import cdsapi
+import calendar
+
+c = cdsapi.Client()
+
+def retrieve_uerra():
+    """
+       A function to demonstrate how to iterate efficiently over several years and months etc
+       for a particular UERRA request for origin SMHI.
+       Change the variables below to adapt the iteration to your needs.
+       You can use the variable 'targetFile' to organise the requested data in files as you wish.
+       In the example below the data are organised in files per month.
+    """
+    yearStart = 2016
+    yearEnd   = 2016
+    monthStart =  1
+    monthEnd   = 12
+    for year in list(range(yearStart, yearEnd + 1)):
+        for month in list(range(monthStart, monthEnd + 1)):
+            startDate = '%04d%02d%02d' % (year, month, 1)
+            numberOfDays = calendar.monthrange(year, month)[1]
+            requestDates = ['{:04}'.format(year)+'{:02}'.format(month)+'{:02}'.format(i) for i in range(1, numberOfDays+1)]
+            targetFile = "ofile_%04d%02d.grb" % (year, month)
+            uerra_request(requestDates, targetFile)
+
+
+def uerra_request(requestDates, target):
+    """
+        A UERRA request for 2 metre temperature every hour.
+        Origin SMHI, surface level, forecast fields.
+        Request cost per day is 24 fields, 11 Mbytes.
+    """
+    c.retrieve(
+        'reanalysis-uerra-europe-complete',
+        {
+          'class':'ur',
+          'database':'external',
+          'stream':'oper',
+          'format':'grib',
+          'type':'fc',
+          'step':'1/2/3/4/5/6',
+          'origin':'eswi',
+          'date': requestDates,
+          'expver':'prod',
+          'levtype':'sfc',
+          'param':'167',
+          'time':'00/06/12/18'
+          },
+        target)
+
+
+if __name__ == '__main__':
+    retrieve_uerra()

cds_retrieve_complete_examples/Get_snowDepth_hourly_CDS_complete_MESCAN_forecast.py

+#!/usr/bin/env python
+
+import cdsapi
+import calendar
+
+c = cdsapi.Client()
+
+def retrieve_uerra():
+    """
+       A function to demonstrate how to iterate efficiently over several years and months etc
+       for a particular UERRA request for origin Meteo France.
+       Change the variables below to adapt the iteration to your needs.
+       You can use the variable 'targetFile' to organise the requested data in files as you wish.
+       In the example below the data are organised in files per month.
+    """
+    yearStart = 2015
+    yearEnd   = 2015
+    monthStart =  1
+    monthEnd   = 12
+    for year in list(range(yearStart, yearEnd + 1)):
+        for month in list(range(monthStart, monthEnd + 1)):
+            startDate = '%04d%02d%02d' % (year, month, 1)
+            numberOfDays = calendar.monthrange(year, month)[1]
+            requestDates = ['{:04}'.format(year)+'{:02}'.format(month)+'{:02}'.format(i) for i in range(1, numberOfDays+1)]
+            targetFile = "ofile_%04d%02d.grb" % (year, month)
+            uerra_request(requestDates, targetFile)
+
+
+def uerra_request(requestDates, target):
+    """
+        A UERRA request for snow depth every hour.
+        Origin Meteo France, surface level, forecast fields.
+        Request cost per day is 24 fields, 46.1 Mbytes.
+    """
+    c.retrieve(
+        'reanalysis-uerra-europe-complete',
+        {
+          'class':'ur',
+          'database':'external',
+          'stream':'oper',
+          'format':'grib',
+          'type':'fc',
+          'step':'1/2/3/4/5/6',
+          'origin':'lfpw',
+          'date': requestDates,
+          'expver':'prod',
+          'levtype':'sfc',
+          'param':'3066',
+          'time':'00/06/12/18'
+          },
+        target)
+
+
+if __name__ == '__main__':
+    retrieve_uerra()

cds_retrieve_complete_examples/README.md

+# CDS forecast data retrieval examples
+All data produced within the Copernicus Climate Change Service regional reanalysis for Europe and the pre-operational UERRA project are publicly available for download.
+
+This is an example of retrieving UERRA forecast data from datasets that are not available for direct download via the [CDS web form](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-uerra-europe-complete?tab=form). 
+
+Before running these scripts it is recommended to read the [information at the CDS website](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-uerra-europe-complete?tab=form).
+
+
+## General information
+This project contains example code for users of the Copernicus Climate Change Service regional reanalysis for Europe (C3S_322_Lot1) data.
+More information about the service can be found at the [Copernicus Climate Change Service regional reanalysis for Europe website](https://climate.copernicus.eu/copernicus-regional-reanalysis-europe-cerra).
+
+The reanalysis data were initially produced within the FP7 pre-operational UERRA project.
+More information about the reanalyses systems and data can be found at the [UERRA website](http://www.uerra.eu/).