Retrieving data from the CDS
The cds data source provides access to the Copernicus Climate Data Store (CDS).
[1]:
import earthkit.data as ekd
Getting GRIB data
[2]:
ds = ekd.from_source(
"cds",
"reanalysis-era5-single-levels",
request=dict(
variable=["2t", "msl"],
product_type="reanalysis",
area=[50, -10, 40, 10], # N,W,S,E
grid=[2, 2],
date="2012-05-10",
time="12:00",
),
)
[3]:
ds.ls()
[3]:
| centre | shortName | typeOfLevel | level | dataDate | dataTime | stepRange | dataType | number | gridType | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | ecmf | 2t | surface | 0 | 20120510 | 1200 | 0 | an | 0 | regular_ll |
| 1 | ecmf | msl | surface | 0 | 20120510 | 1200 | 0 | an | 0 | regular_ll |
Getting NetCDF data
[4]:
ds1 = ekd.from_source(
"cds",
"reanalysis-era5-single-levels",
request=dict(
variable=["2t", "msl"],
product_type="reanalysis",
area=[50, -10, 40, 10], # N,W,S,E
grid=[2, 2],
date="2012-05-10",
time="12:00",
format="netcdf",
),
)
[5]:
ds1.ls()
[5]:
| variable | level | valid_datetime | units | |
|---|---|---|---|---|
| 0 | t2m | None | 2012-05-10T12:00:00 | K |
| 1 | msl | None | 2012-05-10T12:00:00 | Pa |
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