Articles | Volume 15, issue 3
https://doi.org/10.5194/esd-15-735-2024
https://doi.org/10.5194/esd-15-735-2024
Research article
 | 
13 Jun 2024
Research article |  | 13 Jun 2024

Distribution-based pooling for combination and multi-model bias correction of climate simulations

Mathieu Vrac, Denis Allard, Grégoire Mariéthoz, Soulivanh Thao, and Lucas Schmutz

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Short summary
We aim to combine multiple global climate models (GCMs) to enhance the robustness of future projections. We introduce a novel approach, called "α pooling", aggregating the cumulative distribution functions (CDFs) of the models into a CDF more aligned with historical data. The new CDFs allow us to perform bias adjustment of all the raw climate simulations at once. Experiments with European temperature and precipitation demonstrate the superiority of this approach over conventional techniques.
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