FN Archimer Export Format PT J TI Assimilation of Ocean-Color Plankton Functional Types to Improve Marine Ecosystem Simulations BT AF CIAVATTA, S. BREWIN, R. J. W. SKAKALA, J. POLIMENE, L. DE MORA, L. ARTIOLI, Y. ALLEN, J. I. AS 1:1,2;2:1,2;3:1,2;4:1;5:1;6:1;7:1,2; FF 1:;2:;3:;4:;5:;6:;7:; C1 Plymouth Marine Lab, Plymouth, Devon, England. Plymouth Marine Lab, Natl Ctr Earth Observat, Plymouth, Devon, England. C2 PML, UK PML, UK IF 3.235 TC 34 UR https://archimer.ifremer.fr/doc/00673/78494/80766.pdf https://archimer.ifremer.fr/doc/00673/78494/80767.docx LA English DT Article CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION AB We assimilated phytoplankton functional types (PFTs) derived from ocean color into a marine ecosystem model, to improve the simulation of biogeochemical indicators and emerging properties in a shelf sea. Error-characterized chlorophyll concentrations of four PFTs (diatoms, dinoflagellates, nanoplankton, and picoplankton), as well as total chlorophyll for comparison, were assimilated into a physical-biogeochemical model of the North East Atlantic, applying a localized Ensemble Kalman filter. The reanalysis simulations spanned the years 1998-2003. The skill of the reference and reanalysis simulations in estimating ocean color and in situ biogeochemical data were compared by using robust statistics. The reanalysis outperformed both the reference and the assimilation of total chlorophyll in estimating the ocean-color PFTs (except nanoplankton), as well as the not-assimilated total chlorophyll, leading the model to simulate better the plankton community structure. Crucially, the reanalysis improved the estimates of not-assimilated in situ data of PFTs, as well as of phosphate and pCO(2), impacting the simulation of the air-sea carbon flux. However, the reanalysis increased further the model overestimation of nitrate, in spite of increases in plankton nitrate uptake. The method proposed here is easily adaptable for use with other ecosystem models that simulate PFTs, for, e.g., reanalysis of carbon fluxes in the global ocean and for operational forecasts of biogeochemical indicators in shelf-sea ecosystems. PY 2018 PD FEB SO Journal Of Geophysical Research-oceans SN 2169-9275 PU Amer Geophysical Union VL 123 IS 2 UT 000427970400007 BP 834 EP 854 DI 10.1002/2017JC013490 ID 78494 ER EF