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EUPPBench postprocessing benchmark dataset - station data

<p>The EUMETNET EUPPBench postprocessing benchmark station data is an analysis-ready dataset to perform benchmarks of different postprocessing methods on a common dataset.</p> <p>This dataset is using the <a href="https://zarr.dev/">Zarr</a> format. Please look at the <a href="https://zarr.readthedocs.io/en/stable/">Zarr documentation</a> to see how to load and access the data.</p> <p>The documentation of the dataset is available on <a href="https://eupp-benchmark.github.io/EUPPBench-doc/">https://eupp-benchmark.github.io/EUPPBench-doc/</a> .</p> <p>The official way to download the dataset is through the <a href="https://github.com/ecmwf/climetlab">climetlab</a> <a href="https://github.com/EUPP-benchmark/climetlab-eumetnet-postprocessing-benchmark">EUMETNET postprocessing benchmark plugin</a>.</p> <p>This Zenodo repository aims to preserve the dataset by providing long-term storage.</p> <p>Please read the LICENSE file for more information on the data licenses.</p> <p><strong>Installation procedure</strong></p> <p>Download the the dataset in a given folder, and on a Linux (or mac OS) terminal, and still in this folder, enter the following command</p> <pre><code class="language-bash">unzip EUPPBench-stations.zip rm EUPPBench-stations.zip</code></pre> <p>This will unpack the dataset. You need at least 35Gb of free space on your disk to perform this operation.</p> <p>&nbsp;</p> <p><strong>Citation</strong></p> <p>If you use this dataset for a publication, please cite the dataset article:</p> <p>Demaeyer, J., Bhend, J., Lerch, S., Primo, C., Van Schaeybroeck, B., Atencia, A., Ben Bouall&egrave;gue, Z., Chen, J., Dabernig, M., Evans, G., Faganeli Pucer, J., Hooper, B., Horat, N., Jobst, D., Mer&scaron;e, J., Mlakar, P., M&ouml;ller, A., Mestre, O., Taillardat, M., and Vannitsem, S.: The EUPPBench postprocessing benchmark dataset v1.0, Earth Syst. Sci. Data Discuss. [preprint], <a href="https://doi.org/10.5194/essd-2022-465">https://doi.org/10.5194/essd-2022-465</a>, in review, 2023.</p> <p>&nbsp;</p> <p><strong>Remark</strong></p> <p>You might also be interested by the gridded data part of this dataset also available on Zenodo here: <a href="https://doi.org/10.5281/zenodo.7429236">https://doi.org/10.5281/zenodo.7429236</a> .</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
8
Reuse readiness
8
Engagement
4

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