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EUPPBench postprocessing benchmark dataset - gridded data - Part III

Authors: Demaeyer, Jonathan;

EUPPBench postprocessing benchmark dataset - gridded data - Part III

Abstract

The EUMETNET EUPPBench postprocessing benchmark gridded data is an analysis-ready dataset to perform benchmarks of different postprocessing methods on a common dataset. This dataset is using the Zarr format. Please look at the Zarr documentation to see how to load and access the data. The documentation of the dataset is available on https://eupp-benchmark.github.io/EUPPBench-doc/ . The official way to download the dataset is through the climetlab EUMETNET postprocessing benchmark plugin. This Zenodo repository aims to preserve the dataset by providing long-term storage. Please read the LICENSE file for more information on the data licenses. Installation procedure Download the 3 parts of the dataset EUPPBench-gridded.part.z01 EUPPBench-gridded.part.z02 EUPPBench-gridded.part.zip in a given folder, and on a Linux (or mac OS) terminal, and still in this folder, enter the following commands zip -FF EUPPBench-gridded.part.zip --out EUPPBench-gridded.zip rm EUPPBench-gridded.part.* unzip EUPPBench-gridded.zip This will unpack the dataset. You need at least 250Gb of free space on your disk to perform this operation. Citation If you use this dataset for a publication, please cite the dataset article: Demaeyer, J., Bhend, J., Lerch, S., Primo, C., Van Schaeybroeck, B., Atencia, A., Ben Bouallègue, Z., Chen, J., Dabernig, M., Evans, G., Faganeli Pucer, J., Hooper, B., Horat, N., Jobst, D., Merše, J., Mlakar, P., Möller, A., Mestre, O., Taillardat, M., and Vannitsem, S.: The EUPPBench postprocessing benchmark dataset v1.0, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-465, in review, 2023. Remark You might also be interested by the station data part of this dataset also available on Zenodo here: https://doi.org/10.5281/zenodo.7708362.

Keywords

benchmark, weather, forecast, reanalysis, gridded data, meteorology, postprocessing

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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