A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
Project description
The Eumetnet postprocessing benchmark dataset Climetlab plugin
A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark datasets.
Ease the download of the dataset time-aligned forecasts, reforecasts (hindcasts) and observations (ERA5 reanalysis).
- Climetlab plugin version: 0.2.3
- EUPPBench dataset version: 1.0
- Base dataset version: 1.0
- Dataset status: Datasets status
Documentation of the datasets
There are currently two sub-datasets available:
They are both documented here.
Using climetlab to access the data
See the demo notebooks
The climetlab python package allows easy access to the data with a few lines of code such as:
# Uncomment the line below if climetlab and the plugin are not yet installed
#!pip install climetlab climetlab-eumetnet-postprocessing-benchmark
import climetlab as cml
ds = cml.load_dataset('eumetnet-postprocessing-benchmark-training-data-gridded-forecasts-surface', "2017-12-02", "2t", "highres")
fcs = ds.to_xarray()
which download the deterministic (high-resolution) forecasts for the 2 metres temperature.
Once obtained, the corresponding observations (if available) can be retrieved in the xarray format by using the get_observations_as_xarray
method:
obs = ds.get_observations_as_xarray()
Support and contributing
Please open a issue on github.
LICENSE
See the LICENSE file for the code, and the DATA_LICENSE for the data.
Authors
See the CONTRIBUTORS.md file.
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