The EUMETNET postprocessing benchmark dataset Intake catalogue

A Python module using Intake catalogues to retrieve the Eumetnet postprocessing benchmark datasets.

Ease the download of the dataset time-aligned forecasts, reforecasts (hindcasts) and observations.

• Climetlab plugin version: 0.3.3
• Intake catalogues version: 0.2.6
• Base dataset version: 1.0
• EUPPBench dataset version: 1.0
• EUPreciPBench dataset version: 0.5
• Dataset status: Datasets status

A climetlab plugin is also available, as an alternative way to get the datasets.

Installation

The catalogue can be installed using pip. Type in a terminal

pip install euppbench-datasets 

and you are set!

Documentation of the datasets

There are currently three sub-datasets available:

• The base dataset over Europe's domain (available uniquely through the climetlab plugin)
• The EUPPBench dataset
• The EUPreciPBench dataset

They are documented here.

Using the Intake catalogues to access the data

Access through the catalogue can be done with the Python command line interface in a few lines:

# Uncomment the line below if the catalogue is not yet installed
#!pip install euppbench-datasets
import euppbench_datasets
cat = euppbench_datasets.open_catalog()
ds = cat.euppbench.training_data.gridded.EUPPBench_highres_forecasts_surface.to_dask() 

which download the original EUPPBench deterministic (high-resolution) forecasts in the xarray format.

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.

Acknowledgments

This package was inspired by the mlcast-datasets written by Leif Denby.