TY - CPAPER T1 - Extreme coastal events linked with climate variation. Understanding low salinity episodes in the Bay of Brest, north-eastern Atlantic A1 - Poppeschi,Coline A1 - Charria,Guillaume A1 - Unterberger,Maximilian A1 - Rimmelin-Maury,Peggy A1 - Goberville,Eric A1 - Barrier,Nicolas A1 - Petton,Sebastien A1 - Grossteffan,Emilie A1 - Repecaud,Michel A1 - Quemener,Loic A1 - Theetten,Sebastien A1 - Le Roux,Jean-Francois A1 - Treguer,Paul AD - Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et SpaIale (LOPS), IUEM, Brest, France. AD - OSU-InsItut Universitaire Européen de la Mer (IUEM), UMS3113, Plouzané, France. AD - Muséum NaIonal d’Histoire Naturelle, UMR 7208 BOREA, Sorbonne Université, CNRS, UCN, UA, IRD, Paris, France. AD - Univ. Brest, CNRS, IRD, Ifremer, InsItut Universitaire Européen de la mer, LEMAR, Rue Dumont d’Urville,, Plouzané, France AD - MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Sète, France. AD - Ifremer, Univ Brest, CNRS, IRD, LEMAR, Argenton, France AD - Ifremer, Centre de Brest, REM/RDT/DCM,, Plouzané, France. UR - https://archimer.ifremer.fr/doc/00631/74346/ DO - 10.5194/egusphere-egu2020-14936 KW - In-situ observations KW - High and low frequency measurements KW - Extreme events KW - Numerical simulations KW - Bay of Brest KW - Weather regimes. N2 - Aims - To detect and characterise extreme events in a coastal ecosystem by combining in situ high-frequency observations and high-resolution numerical simulations -To describe the interannual variability of extreme events in a context of climate change  -To quantify the links between extreme low salinity episodes and both large and local scale processes, using weather regimes, precipitations and river runoffs as proxies of hydro-climate forcing Y1 - 2020/05 CY - EGU 2020 General Assembly. 4–8 May 2020, Online ID - 74346 ER -