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Advances in Statistical Climatology, Meteorology and Oceanography An international open-access journal on applied statistics
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ASCMO | Articles | Volume 6, issue 2
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 205–221, 2020
https://doi.org/10.5194/ascmo-6-205-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 205–221, 2020
https://doi.org/10.5194/ascmo-6-205-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  18 Nov 2020

18 Nov 2020

Nonstationary extreme value analysis for event attribution combining climate models and observations

Yoann Robin and Aurélien Ribes

Data sets

yrobink/SDFC: SDFC_v0.5.0 (Version v0.5.0) Yoann Robin https://doi.org/10.5281/zenodo.4263886

yrobink/NSSEA: NSSEA_v0.3.1 (Version v0.3.1) Yoann Robin https://doi.org/10.5281/zenodo.4263904

Publications Copernicus
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We have developed a new statistical method to describe how a severe weather event, such as a heat wave, may have been influenced by climate change. Our method incorporates both observations and data from various climate models to reflect climate model uncertainty. Our results show that both the probability and the intensity of the French July 2019 heatwave have increased significantly in response to human influence. We find that this heat wave might not have been possible without climate change.
We have developed a new statistical method to describe how a severe weather event, such as a...
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