FN Archimer Export Format
PT J
TI Use of SeaWiFS data for light availability and parameter estimation of a phytoplankton production model of the Bay of Biscay
BT 
AF HURET, Martin
   GOHIN, Francis
   DELMAS, Daniel
   LUNVEN, Michel
   GARCON, Véronique
AS 1:1;2:1;3:2;4:1;5:3;
FF 1:PDG-DOP-DCN-EMH;2:PDG-DOP-DCB-DYNECO-PELAGOS;3:PDG-DOP-DCN-AGSAE-CRELA;4:PDG-DOP-DCB-DYNECO-PELAGOS;5:;
C1 IFREMER, Ctr Brest, F-29280 Plouzane, France.
   IFREMER, CREMA LHoumeau, CNRS, F-17137 LHoumeau, France.
   CNRS, LEGOS, F-31401 Toulouse, France.
C2 IFREMER, FRANCE
   IFREMER, FRANCE
   CNRS, FRANCE
SI NANTES
   BREST
   LA ROCHELLE
SE PDG-DOP-DCN-EMH
   PDG-DOP-DCB-DYNECO-PELAGOS
   PDG-DOP-DCN-AGSAE-CRELA
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 1.772
TC 35
TU Centre national d'études spatiales
   Centre national de la recherche scientifique
   Institut de recherche pour le développement
   Université de Toulouse III - Paul Sabatier
UR https://archimer.ifremer.fr/doc/2007/publication-2493.pdf
LA English
DT Article
CR GASPROD 1
   GASPROD 2
   NUTRIGAS
   PEL 2001
   PELGAS
BO Thalassa
DE ;Bay of Biscay;SeaWiFS;Parameter estimation;Chlorophyll;Suspended Particulate Matter;Physical biogeochemical modelling
AB Processing SeaWiFS (Sea-viewing Wide Field-of-view Sensor) data provides useful information for the observation and modelling of the phytoplankton production of the Bay of Biscay. Empirical algorithms allow the retrieval of chlorophyll a and non-living Suspended Particulate Matter (SPM) concentrations. These data are used to constrain a coupled 3D physical-biogeochemical model of the Bay of Biscay continental shelf Two issues are investigated, depending on the variable used, to constrain the winter to spring phytoplankton production for the year 2001. First, SPM data is used as forcing data to correct the corresponding state variable of our model. This allows the realistic simulation of the light limited bloom at the end of February 2001, as observed with SeaWiFS chlorophyll a images and from the NUTRIGAS field cruise. Second, chlorophyll a data is used for parameter estimation of the biogeochemical model. The ability of assimilating these data is tested to improve the simulation of strong blooms observed in late May 2001 in the Loire and Gironde plumes. A global optimization method (Evolutive Strategies) is adapted to the complete 3-D coupled model, in order to find the best set of parameters. The hydrological conditions during the bloom can be validated with data from the PELO I field cruise. After selection of the most sensitive parameters, the method is tested with twin experiments. Then, the use of real SeaWiFS data reduces the model/data misfit by a factor of two, improving the simulation of bloom intensities and extensions. The sets of parameters retrieved in each plume are discussed.
PY 2007
PD MAR
SO Journal of Marine Systems
SN 0924-7963
PU Elsevier
VL 65
IS 1-4
UT 000245003400029
BP 509
EP 531
DI 10.1016/j.jmarsys.2005.07.007
ID 2493
ER

EF