Articles | Volume 29, issue 5
https://doi.org/10.5194/hess-29-1335-2025
https://doi.org/10.5194/hess-29-1335-2025
Research article
 | 
12 Mar 2025
Research article |  | 12 Mar 2025

Probabilistic downscaling of EURO-CORDEX precipitation data for the assessment of future areal precipitation extremes for hourly to daily durations

Abbas El Hachem, Jochen Seidel, and András Bárdossy

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Cited articles

Bárdossy, A. and Hörning, S.: Random mixing: An approach to inverse modeling for groundwater flow and transport problems, Transport Porous Med., 114, 241–259, 2016. a, b, c
Bárdossy, A. and Hörning, S.: Definition of Spatial Copula Based Dependence Using a Family of Non-Gaussian Spatial Random Fields, Water Resour. Res., 59, e2023WR034446, https://doi.org/10.1029/2023WR034446, 2023. a
Bárdossy, A. and Pegram, G.: Downscaling precipitation using regional climate models and circulation patterns toward hydrology, Water Resour. Res., 47, 129678800, https://doi.org/10.1029/2010WR009689, 2011. a, b, c
Bárdossy, A. and Pegram, G.: Multiscale spatial recorrelation of RCM precipitation to produce unbiased climate change scenarios over large areas and small, Water Resour. Res., 48, W09502, https://doi.org/10.1029/2011WR011524, 2012. a, b, c, d
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Short summary
The influence of climate change on areal precipitation extremes is examined. After an upscaling of reference observations, the climate model data are corrected, and a downscaling to a finer spatial scale is done. For different temporal durations and spatial scales, areal precipitation extremes are derived. The final result indicates an increase in the expected rainfall depth compared to reference values. However, the increase varied with the duration and area size.
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