Articles | Volume 21, issue 3
https://doi.org/10.5194/hess-21-1693-2017
https://doi.org/10.5194/hess-21-1693-2017
Research article
 | 
22 Mar 2017
Research article |  | 22 Mar 2017

A combined statistical bias correction and stochastic downscaling method for precipitation

Claudia Volosciuk, Douglas Maraun, Mathieu Vrac, and Martin Widmann

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Latest update: 02 Apr 2025
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Short summary
For impact modeling, infrastructure design, or adaptation strategy planning, high-quality climate data on the point scale are often demanded. Due to the scale gap between gridbox and point scale and biases in climate models, we combine a statistical bias correction and a stochastic downscaling model and apply it to climate model-simulated precipitation. The method performs better in summer than in winter and in winter best for mild winter climate (Mediterranean) and worst for continental winter.
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