Articles | Volume 25, issue 9
https://doi.org/10.5194/nhess-25-3075-2025
https://doi.org/10.5194/nhess-25-3075-2025
Research article
 | 
05 Sep 2025
Research article |  | 05 Sep 2025

The ability of a stochastic regional weather generator to reproduce heavy-precipitation events across scales

Xiaoxiang Guan, Viet Dung Nguyen, Paul Voit, Bruno Merz, Maik Heistermann, and Sergiy Vorogushyn

Data sets

ERA5 hourly data on single levels from 1940 to present Hans Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Gridded precipitation data from E-OBS (version 25.0e) European Climate Assessment & Dataset https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php\#datafiles

Model code and software

xWEI-Quantifying-the-extremeness-of-precipitation- 25 across-scales - Code Repository Paul Voit https://doi.org/10.5281/zenodo.6556463

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Short summary
We evaluated a multi-site stochastic regional weather generator (nsRWG) for its ability to capture the cross-scale extremity of heavy-precipitation events (HPEs) in Germany. We generated 100 realizations of 72 years of daily synthetic precipitation data. The performance was assessed using WEI and xWEI indices, which measure event extremity across spatiotemporal scales. The results show that nsRWG simulates the extremity patterns of HPEs well, although it overestimates short-duration small-extent events.
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