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Regional atmospheric reanalysis activities at Deutscher Wetterdienst: review of evaluation results and application examples with a focus on renewable energy.
Kaspar, Frank, Niermann, Deborah, Borsche, Michael, Fiedler, Stephanie , Keller, Jan, Potthast, Roland, Rösch, Thomas, Spangehl, Thomas and Tinz, Birger
(2020)
Regional atmospheric reanalysis activities at Deutscher Wetterdienst: review of evaluation results and application examples with a focus on renewable energy.
Advances in Science and Research, 17
.
pp. 115-128.
DOI 10.5194/asr-17-115-2020.
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Abstract
Based on the numerical weather prediction model COSMO of Germany's national meteorological service (Deutscher Wetterdienst, DWD), regional reanalysis datasets have been developed with grid spacing of up to 2 km. This development started as a fundamental research activity within the Hans-Ertel-Centre for Weather Research (HErZ) at the University of Bonn and the University of Cologne. Today, COSMO reanalyses are an established product of the DWD and have been widely used in applications on European and national German level. Successful applications of COSMO reanalyses include renewable energy assessments as well as meteorological risk estimates. The COSMO reanalysis datasets are now publicly available and provide spatio-temporal consistent data of atmospheric parameters covering both near-surface conditions and vertical profiles. This article reviews the status of the COSMO reanalyses, including evaluation results and applications. In many studies, evaluation of the COSMO reanalyses point to an overall good quality and often an added value compared to different contemporary global reanalysis datasets. We further outline current plans for the further development and application of regional reanalyses in the HErZ research group Cologne/Bonn in collaboration with the DWD.
Document Type: | Article |
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Refereed: | Yes |
Open Access Journal?: | Yes |
Publisher: | Copernicus Publications (EGU) |
Date Deposited: | 03 Jan 2023 12:23 |
Last Modified: | 04 Jan 2023 11:28 |
URI: | https://oceanrep.geomar.de/id/eprint/57572 |
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