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

Data sets

COSMO-DE-EPS data DWD https://opendata.dwd.de

TIGGE data ECMWF https://confluence.ecmwf.int/display/TIGGE

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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.