Articles | Volume 27, issue 4
https://doi.org/10.5194/npg-27-473-2020
https://doi.org/10.5194/npg-27-473-2020
Research article
 | 
06 Oct 2020
Research article |  | 06 Oct 2020

Statistical postprocessing of ensemble forecasts for severe weather at Deutscher Wetterdienst

Reinhold Hess

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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Reinhold Hess on behalf of the Authors (22 May 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (14 Jun 2020) by Stephan Hemri
ED: Publish subject to minor revisions (review by editor) (10 Jul 2020) by Stephan Hemri
AR by Reinhold Hess on behalf of the Authors (14 Jul 2020)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (20 Jul 2020) by Stephan Hemri
AR by Reinhold Hess on behalf of the Authors (21 Jul 2020)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (11 Aug 2020) by Stephan Hemri
AR by Reinhold Hess on behalf of the Authors (13 Aug 2020)  Author's response   Manuscript 
ED: Publish subject to technical corrections (19 Aug 2020) by Stephan Hemri
AR by Reinhold Hess on behalf of the Authors (24 Aug 2020)  Author's response   Manuscript 
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Short summary
Forecasts of ensemble systems are statistically aligned to synoptic observations at DWD in order to provide support for warning decision management. Motivation and design consequences for extreme and rare meteorological events are presented. Especially for probabilities of severe wind gusts global logistic parameterisations are developed that generate robust statistical forecasts for extreme events, while local characteristics are preserved.