Intake catalogue for the EUPPBench postprocessing datasets
Project description
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: 0.2.4
- 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.
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