Articles | Volume 29, issue 18
https://doi.org/10.5194/hess-29-4711-2025
https://doi.org/10.5194/hess-29-4711-2025
Research article
 | 
29 Sep 2025
Research article |  | 29 Sep 2025

Assessing multivariate bias corrections of climate simulations on various impact models under climate change

Denis Allard, Mathieu Vrac, Bastien François, and Iñaki García de Cortázar-Atauri

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Short summary
Atmospheric variables from climate models often present biases relative to the past. In order to use these models to assess the impact of climate change on processes of interest, it is necessary to correct these biases. We tested several Multivariate Bias Correction Methods (MBCMs) for 5 physical variables that are input variables for 4 process models. We provide recommendations regarding the use of MBCMs when multivariate and time dependent processes are involved.
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