You can run this notebook in , in
, in
or in
.
[20]:
!pip install --quiet climetlab
Access ECMWF Open Data feed
[21]:
import climetlab as cml
[22]:
source = cml.load_source(
"ecmwf-open-data",
param=["2t", "msl"],
)
for s in source:
cml.plot_map(s, title=True)
[23]:
source.to_xarray()
[23]:
<xarray.Dataset>
Dimensions: (latitude: 451, longitude: 900)
Coordinates:
time datetime64[ns] 2022-02-06
step timedelta64[ns] 00:00:00
heightAboveGround float64 2.0
* latitude (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0
* longitude (longitude) float64 -180.0 -179.6 -179.2 ... 179.2 179.6
valid_time datetime64[ns] 2022-02-06
meanSea float64 0.0
Data variables:
t2m (latitude, longitude) float32 ...
msl (latitude, longitude) float32 ...
Attributes:
GRIB_edition: 2
GRIB_centre: ecmf
GRIB_centreDescription: European Centre for Medium-Range Weather Forecasts
GRIB_subCentre: 0
Conventions: CF-1.7
institution: European Centre for Medium-Range Weather Forecasts
history: 2022-02-06T12:42 GRIB to CDM+CF via cfgrib-0.9.1...