FN Archimer Export Format PT J TI Ecological model of the Bay of Biscay and English Channel shelf for Environmental Status assessment Part 1: Nutrients, phytoplankton and oxygen BT AF MENESGUEN, Alain DUSSAUZE, Morgan DUMAS, Franck THOUVENIN, Benedicte GARNIER, Valerie LECORNU, Fabrice REPECAUD, Michel AS 1:1;2:2;3:3;4:1;5:4;6:1;7:5; FF 1:PDG-ODE-DYNECO-LEBCO;2:;3:;4:PDG-ODE-DYNECO-DHYSED;5:PDG-ODE-LOPS-OC;6:PDG-ODE-DYNECO-DHYSED;7:PDG-REM-RDT-LDCM; C1 IFREMER, Ctr Brest, Unite ODE DYNECO, BP 70, F-29280 Plouzane, France. Actimar, 36 Quai Douane, F-29200 Brest, France. SHOM DOPS HOM REC, 13 Rue Chatellier,CS 92803, F-29228 Brest 2, France. IFREMER, Ctr Brest, Unite ODE LOPS, BP 70, F-29280 Plouzane, France. IFREMER, Ctr Brest, Unite REM RDT, BP 70, F-29280 Plouzane, France. C2 IFREMER, FRANCE ACTIMAR, FRANCE SHOM, FRANCE IFREMER, FRANCE IFREMER, FRANCE SI BREST SE PDG-ODE-DYNECO-LEBCO PDG-ODE-DYNECO-DHYSED PDG-ODE-LOPS-OC PDG-REM-RDT-LDCM UM LOPS IN WOS Ifremer UPR WOS Ifremer UMR copubli-france IF 3.215 TC 25 UR https://archimer.ifremer.fr/doc/00469/58098/60510.pdf LA English DT Article CR CARMOLIT DE ;Ecological 3D model;Continental shelf;Bay of Biscay and English Channel;Surface chlorophyll;Dissolved oxygen;MSFD AB European directives (Water Framework Directive - WFD and Marine Strategy Framework Directive - MSFD) require a regular survey of several descriptors of the Environmental Status of coastal waters of the North-east Atlantic Ocean. Especially for the MSFD, which may concern large continental shelf areas where measurements are scarce, realistic ecological models can help assessing the Environmental Status. The ECO-MARS3D model of the pelagic ecosystem of the Bay of Biscay and English Channel continental shelf (NE Atlantic) has been developed for these applied purposes and validated against various types of historic data. This first paper deals with the basic biogeochemical version, which contains inorganic nutrients (NH4, NO3, PO4, Si(OH)4), three phytoplankton bulk types (diatoms, nanoflagellates and dinoflagellates), two zooplankton bulk types, particulate detrital forms and dissolved oxygen. A second paper presents a version of this model including 3 harmful phytoplanktonic groups. A simulation covering the 2000-2010 decade is compared to satellite sea surface data for temperature and surface chlorophyll, to the Southampton-Bilbao and Ouistreham-Portsmouth ferrybox surface data for temperature, salinity, chlorophyll and nutrients, to point samples provided by the French network of phytoplankton monitoring (REPHY) for inorganic nutrients and chlorophyll, and to high frequency time series of dissolved oxygen measured by a moored automatic buoy. From a spatial point of view, the model provides realistic fields of annual means of surface temperature (but with a systematic bias of about +1.0°C) and phytoplanktonic biomass. From a seasonal point of view, the temperature and salinity follow correctly the observed variations. For nutrient and total chlorophyll, the model succeeds in reproducing the difference amounting to one order of magnitude between the North Sea coastal zones and the oligotrophic oceanic zone above the abyssal plain of the bay of Biscay. It also reproduces the spring-neap tide oscillation visible in satellite observations of surface chlorophyll. Simulated seasonal cycles are realistic in the coastal stations, but the French Atlantic coast seems slightly too nutrient-rich. In coastal eutrophicated areas, the model does not produce chlorophyll peaks as high as measured. In the Vilaine bay (France), the summer hypoxic conditions (down to 4 mg/L O2 or less) are correctly reproduced. This ecological model has been used off-line to map some classical eutrophication descriptors (winter DIN and DIP, March-October 90th percentile of chlorophyll) used by the WFD and MSFD European directives. It has also been turned into an operational real-time mode, as part of the French Previmer project (now: http://marc.ifremer.fr/resultats/production_primaire). PY 2019 PD JAN SO Ocean Modelling SN 1463-5003 PU Elsevier Sci Ltd VL 133 UT 000454511200005 BP 56 EP 78 DI 10.1016/j.ocemod.2018.11.002 ID 58098 ER EF