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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Data set for the ensemble postprocessing of 2m surface temperature forecasts in Germany for 24 hours lead time

Research datakeyboard_double_arrow_right Dataset 09 Jul 2023 English Publisher:Zenodo
Authors: Jobst, David; Möller, Annette; Groß, Jürgen;

doi: 10.5281/zenodo.8127733 , 10.5281/zenodo.8127734

Data set for the ensemble postprocessing of 2m surface temperature forecasts in Germany for 24 hours lead time

Abstract

Full data set for the ensemble postprocessing of 2m surface temperature forecasts at 462 observation stations in Germany for 24 hours lead time in the years 2015-2020. The data set is provided in .Rdata format supported by the statistical software R. The ensemble forecasts are retrieved from ECMWF and the observation data from the German Weather Service (DWD). For more information about the data set see: https://github.com/jobstdavid/paper_gamvinereg

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Keywords

weather, forecast, temperature, meteorology, postprocessing

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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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