Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2635-2023
https://doi.org/10.5194/essd-15-2635-2023
Data description paper
 | 
28 Jun 2023
Data description paper |  | 28 Jun 2023

The EUPPBench postprocessing benchmark dataset v1.0

Jonathan Demaeyer, Jonas Bhend, Sebastian Lerch, Cristina Primo, Bert Van Schaeybroeck, Aitor Atencia, Zied Ben Bouallègue, Jieyu Chen, Markus Dabernig, Gavin Evans, Jana Faganeli Pucer, Ben Hooper, Nina Horat, David Jobst, Janko Merše, Peter Mlakar, Annette Möller, Olivier Mestre, Maxime Taillardat, and Stéphane Vannitsem

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Cited articles

Ashkboos, S., Huang, L., Dryden, N., Ben-Nun, T., Dueben, P., Gianinazzi, L., Kummer, L., and Hoefler, T.: Ens-10: A dataset for post-processing ensemble weather forecast, arXiv [preprint], https://doi.org/10.48550/arXiv.2206.14786, 29 June 2022. a, b
Ben Bouallègue, Z.: Accounting for representativeness in the verification of ensemble forecasts, ECMWF Technical Memoranda, 865, https://doi.org/10.21957/5z6esc7wr, 2020. a
Ben Bouallègue, Z.: EUPP-benchmark/ESSD-ASRE: version 1.0 release, Zenodo [code], https://doi.org/10.5281/zenodo.7477735, 2023. a
Benjamini, Y. and Hochberg, Y.: Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing, J. Roy. Stat. Soc. B Met., 57, 289–300, https://doi.org/10.1111/j.2517-6161.1995.tb02031.x, 1995. a
Bhend, J., Dabernig, M., Demaeyer, J., Mestre, O., and Taillardat, M.: EUPPBench postprocessing benchmark dataset – station data, Zenodo [data set], https://doi.org/10.5281/zenodo.7708362, 2023. a, b
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A benchmark dataset is proposed to compare different statistical postprocessing methods used in forecasting centers to properly calibrate ensemble weather forecasts. This dataset is based on ensemble forecasts covering a portion of central Europe and includes the corresponding observations. Examples on how to download and use the data are provided, a set of evaluation methods is proposed, and a first benchmark of several methods for the correction of 2 m temperature forecasts is performed.
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