FN Archimer Export Format
PT C
TI Hydrological extreme event occurrences and impacts linked with climate variations in coastal waters of western Europe
BT 
AF POPPESCHI, Coline
   CHARRIA, Guillaume
   UNTERBERGER, Maximilian
   GOBERVILLE, Eric
   RIMMELIN-MAURY, Peggy
   BARRIER, Nicolas
   PETTON, Sebastien
   GROSSTEFFAN, Emilie
   REPECAUD, Michel
   QUEMENER, Loic
   THEETTEN, Sebastien
   LE ROUX, Jean-Francois
   TREGUER, Paul
AS 1:1;2:1;3:1;4:2;5:3;6:5;7:6;8:2;9:7;10:7;11:1;12:1;13:4;
FF 1:PDG-ODE-LOPS-OC;2:PDG-ODE-LOPS-OC;3:PDG-ODE-LOPS-OC;4:;5:;6:;7:PDG-RBE-PFOM-LPI;8:;9:PDG-REM-RDT-LDCM;10:PDG-REM-RDT-LDCM;11:PDG-ODE-LOPS-OC;12:PDG-ODE-LOPS-OC;13:;
C1 Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et SpaIale (LOPS), IUEM, Brest, France
   Muséum NaIonal d’Histoire Naturelle, UMR 7208 BOREA, Sorbonne Universiteì, CNRS, UCN, UA, IRD, Paris, France
   OSU-InsItut Universitaire Européen de la Mer (IUEM), UMS3113, Plouzaneì, France
   Univ. Brest, CNRS, IRD, Ifremer, InsItut Universitaire Européen de la mer, LEMAR, Rue Dumont d’Urville,, Plouzané, France
   MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Sète, France.
   Ifremer, Univ Brest, CNRS, IRD, LEMAR, Argenton, France.
   Ifremer, Centre de Brest, REM/RDT/DCM, Plouzaneì, France
C2 IFREMER, FRANCE
   MNHN, FRANCE
   CNRS, FRANCE
   UBO, FRANCE
   IRD, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
SI BREST
   SETE
   ARGENTON
SE PDG-ODE-LOPS-OC
   3113_UMS
   IRD
   PDG-RBE-PFOM-LPI
   PDG-REM-RDT-LDCM
UM LOPS
   LEMAR
   MARBEC
UR https://archimer.ifremer.fr/doc/00723/83548/88544.pdf
LA English
DT Poster
DE ;In-situ observations;High and low frequency;Extreme events;Numerical simulations;Bay of Brest;Weather regimes.
AB The dynamics of physico-chemical processes in the bay of Brest are studied to better understand the impact of local events on the coastal ocean. We are analyzing long-term in situ data (since 2000), high and low frequencies, from the COAST-HF (buoy Marel Iroise) and SOMLIT sites, located at the entrance to the bay of Brest. This study is divided into two main stages: the detection and characterization of extreme events, followed by a numerical simulation of these events to understand the underlying oceanic processes. The focus is on desalination events during the winter months (December, January, February and March), considering the season with the greatest number of extreme events. We show the relationship between local extreme events and variability at larger scales, considering climate indices such as the North Atlantic Oscillation (NAO). A comparison between the low frequency data of the SOMLIT program and the high frequency data of the Marel buoy is carried out, highlighting the interest of high frequency measurements for the detection of extreme events. A comparison between in situ data and two numerical simulations of different resolutions is also performed over salinity time series. This study also show an interannual variability of extreme events interesting in a context of climate change. We make the link between these extreme desalination and the nitrate level in the bay of Brest. To finally study the relationship between nutrients and chlorophyll in order to look at the correlation that it can exists between extreme events and biology in the coastal environment.   
PY 2021
PD MAY
ID 83548
ER

EF