Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA/CNRS/UVSQ, Université Paris-Saclay, Centre d'Etudes de Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, France
University of Lausanne, Expertise Center for Climate Extremes (ECCE), Institute of Earth Surface Dynamics (IDYST), UNIL-Mouline, Geopolis, 1015 Lausanne, Switzerland
Soulivanh Thao
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA/CNRS/UVSQ, Université Paris-Saclay, Centre d'Etudes de Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, France
University of Lausanne, Expertise Center for Climate Extremes (ECCE), Institute of Earth Surface Dynamics (IDYST), UNIL-Mouline, Geopolis, 1015 Lausanne, Switzerland
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Total article views: 2,364 (including HTML, PDF, and XML)
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1,955
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PDF: 325
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EndNote: 121
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Total article views: 361 (including HTML, PDF, and XML)
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Total article views: 2,725 (including HTML, PDF, and XML)
Thereof 2,672 with geography defined
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Total article views: 2,364 (including HTML, PDF, and XML)
Thereof 2,312 with geography defined
and 52 with unknown origin.
Total article views: 361 (including HTML, PDF, and XML)
Thereof 360 with geography defined
and 1 with unknown origin.
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.
We aim to combine multiple global climate models (GCMs) to enhance the robustness of future...
