Attribution of Extreme Wave Height Records along the North Atlantic Coasts using Hindcast Data: Feasibility and Limitations

• Published in: Journal of Coastal Research
• Main Authors: Rohmer, Jeremy, Louisor, Jessie, Le Cozannet, Gonéri, Naveau, Philippe, Thao, Soulivanh, Bertin, Xavier
• Other Authors: Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), We acknowledge financial support of Project EUPHEME, which is part of ERA4CS, an ERA-365 NET initiated by JPI Climate, and funded by FORMAS (SE), BMBF (DE), BMWFW (AT), 366 IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union (Grant 690462). The R script for implementing the EEA of Naveau (2018) is available at: https://thaos.github.io/farr_vignette/. The wave data are, European Project: 690462,H2020,H2020-SC5-2015-one-stage,ERA4CS(2016)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2020
• Subjects: Climate change; fraction of attributable risk; extreme event attribution; wave; uncertainties; [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology; North Atlantic
• Online Access: https://hal.archives-ouvertes.fr/hal-02844118; https://hal.archives-ouvertes.fr/hal-02844118/document; https://hal.archives-ouvertes.fr/hal-02844118/file/RohmeretalJCR_HAL%20%281%29.pdf; https://doi.org/10.2112/SI95-245.1

International audience Extreme Event Attribution (EEA) aims at answering questions about how much climate change influenced the probability or intensity of a specific type of extreme meteo-oceanic event. Here, we focus on wave record breaking i.e. the occurrence of an extreme significant wave height (hs) value that exceeds all past observations. The objective is to evaluate the probability changes related to climate change by estimating the fraction of attributable risk far=1-p0/p1, where p0 and p1 are probabilities of the wave record event in two different worlds: a counterfactual world without anthropogenic forcings i.e. a world that might have been, and the factual world, i.e. world that is. To define these different worlds, we rely on a wave hindcast database, which provides very long time series (1900-2008) of hs over the whole North Atlantic Ocean Basin (NAOB). We assume that the counterfactual world corresponds to the series of annual hs maxima over the period 1900-1930, and that the factual world corresponds to the annual hs maxima over the period 1978-2008. The extreme event attribution approach dedicated to record breakings was applied over NAOB, and we show large far values (>0.5) along the northern Canadian, Scottish and southwestern Norwegian coasts (over the latitudes 50°-65°N). These results are, however, carefully discussed with respect to different uncertainty sources, namely the validity of the assumptions underlying the EEA, the statistical uncertainties, the use of hindcast data instead of global climate model's results, and the limitations in the hindcast database setup.