Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 5
Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1133-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1133-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 5
Research article
 | 
15 Mar 2023
Research article |  | 15 Mar 2023

How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation?

Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga

Supplement

https://doi.org/10.5194/hess-27-1133-2023-supplement

Data sets

How well does a convection-permitting climate model represent the reverse orographic effect of extreme hourly precipitation? - Observed precipitation data [Data set] D. Eleonora https://doi.org/10.5281/zenodo.7142385

Model code and software

A Unified Framework for Extreme Sub-daily Precipitation Frequency Analyses based on Ordinary Events - data & codes (Version v1) F. Marra https://doi.org/10.5281/zenodo.3971558

A test for the hypothesis: block maxima are samples from a parent distribution with Weibull tail (Version v1) F. Marra https://doi.org/10.5281/zenodo.7234708

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Short summary
Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
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