climetlab-eumetnet-postprocessing-benchmark 0.2.7

A plugin for climetlab to retrieve the EUMETNET postprocessing benchmark dataset.

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: 0.2.7
• Intake catalogues version: 0.2.0
• Base dataset version: 1.0
• EUPPBench dataset version: 1.0
• EUPreciPBench dataset version: 0.5
• Dataset status: Datasets status

An Intake catalogue is also available, as an alternative way to get the datasets.

Documentation of the datasets

There are currently three sub-datasets available:

• The base dataset over Europe's domain
• The EUPPBench dataset
• The EUPreciPBench dataset

They are documented here.

Using climetlab to access the data

See the demo notebooks

• demo_training_data_forecasts.ipynb

• demo_ensemble_forecasts.ipynb

• demo_EUPPBench_germany_station_data.ipynb

• demo_EUPPBench_gridded_data.ipynb

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.