Articles | Volume 27, issue 2
Nonlin. Processes Geophys., 27, 239–252, 2020

Special issue: Advances in post-processing and blending of deterministic...

Nonlin. Processes Geophys., 27, 239–252, 2020

Research article 23 Apr 2020

Research article | 23 Apr 2020

Vertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theory

Julian Steinheuer and Petra Friederichs


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Julian Steinheuer on behalf of the Authors (16 Mar 2020)  Author's response    Manuscript
ED: Publish as is (23 Mar 2020) by Stéphane Vannitsem
Short summary
Many applications require wind gust estimates at very different atmospheric altitudes, such as in the wind energy sector. However, numerical weather prediction models usually only derive estimates for gusts at 10 m above the land surface. We present a statistical model that gives the hourly peak wind speed. The model is trained based on a weather reanalysis and observations from the Hamburg Weather Mast. Reliable predictions are derived at up to 250 m, even at unobserved intermediate levels.