# Climetlab CEMS Flood
| **Build Status** |
|:-------------------------------------------------------------------------------:|
||
Download GloFAS data from the Climate Data Store.
```python
import climetlab as cml
dataset = cml.load_dataset(
'glofas-seasonal',
model='lisflood',
system_version='operational',
temporal_filter= '2022 01 01',
leadtime_hour = '24-72',
variable="river_discharge_in_the_last_24_hours"
)
ds = dataset.to_xarray()
ds
(<xarray.Dataset>
Dimensions: (realization: 51, forecast_reference_time: 1,
leadtime: 3, lat: 1500, lon: 3600)
Coordinates:
* realization (realization) int64 0 1 2 3 4 5 ... 46 47 48 49 50
* forecast_reference_time (forecast_reference_time) datetime64[ns] 2022-01-01
* leadtime (leadtime) timedelta64[ns] 1 days 2 days 3 days
* lat (lat) float64 -59.95 -59.85 -59.75 ... 89.85 89.95
* lon (lon) float64 -179.9 -179.8 -179.8 ... 179.8 540.0
time (forecast_reference_time, leadtime) datetime64[ns] ...
Data variables:
dis24 (realization, forecast_reference_time, leadtime, lat, lon) 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: 2023-01-02T10:51 GRIB to CDM+CF via cfgrib-0.9.1...,)
```
More
[example requests](https://climetlab-cems-flood.readthedocs.io/en/latest/how_to.html)
and
[documentation](https://climetlab-cems-flood.readthedocs.io/)
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"description": "\n# Climetlab CEMS Flood\n\n| **Build Status** |\n|:-------------------------------------------------------------------------------:|\n||\n\nDownload GloFAS data from the Climate Data Store. \n\n```python\nimport climetlab as cml\n\ndataset = cml.load_dataset(\n 'glofas-seasonal',\n model='lisflood',\n system_version='operational',\n temporal_filter= '2022 01 01',\n leadtime_hour = '24-72',\n variable=\"river_discharge_in_the_last_24_hours\"\n)\n\nds = dataset.to_xarray()\n\nds\n(<xarray.Dataset>\n Dimensions: (realization: 51, forecast_reference_time: 1,\n leadtime: 3, lat: 1500, lon: 3600)\n Coordinates:\n * realization (realization) int64 0 1 2 3 4 5 ... 46 47 48 49 50\n * forecast_reference_time (forecast_reference_time) datetime64[ns] 2022-01-01\n * leadtime (leadtime) timedelta64[ns] 1 days 2 days 3 days\n * lat (lat) float64 -59.95 -59.85 -59.75 ... 89.85 89.95\n * lon (lon) float64 -179.9 -179.8 -179.8 ... 179.8 540.0\n time (forecast_reference_time, leadtime) datetime64[ns] ...\n Data variables:\n dis24 (realization, forecast_reference_time, leadtime, lat, lon) float32 ...\n Attributes:\n GRIB_edition: 2\n GRIB_centre: ecmf\n GRIB_centreDescription: European Centre for Medium-Range Weather Forecasts\n GRIB_subCentre: 0\n Conventions: CF-1.7\n institution: European Centre for Medium-Range Weather Forecasts\n history: 2023-01-02T10:51 GRIB to CDM+CF via cfgrib-0.9.1...,)\n\n\n```\n\nMore\n[example requests](https://climetlab-cems-flood.readthedocs.io/en/latest/how_to.html)\nand\n[documentation](https://climetlab-cems-flood.readthedocs.io/)\n\n",
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