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Toward a Multivariate Reanalysis of the North Atlantic Ocean Biogeochemistry During 1998–2006 Based on the Assimilation of Seawifs Chlorophyll Data : Volume 9, Issue 2 (27/04/2012)

By Fontana, C.

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Book Id: WPLBN0003980725
Format Type: PDF Article :
File Size: Pages 45
Reproduction Date: 2015

Title: Toward a Multivariate Reanalysis of the North Atlantic Ocean Biogeochemistry During 1998–2006 Based on the Assimilation of Seawifs Chlorophyll Data : Volume 9, Issue 2 (27/04/2012)  
Author: Fontana, C.
Volume: Vol. 9, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Brankart, J., Brasseur, P., & Fontana, C. (2012). Toward a Multivariate Reanalysis of the North Atlantic Ocean Biogeochemistry During 1998–2006 Based on the Assimilation of Seawifs Chlorophyll Data : Volume 9, Issue 2 (27/04/2012). Retrieved from

Description: CNRS, Laboratoire des Ecoulements Géophysiques et Industriels, UMR 5519, Grenoble, France. Today, the routine assimilation of satellite data into operational models of the ocean circulation is mature enough to enable the production of global reanalyses describing the ocean circulation variability during the past decades. The expansion of the reanalysis concept from ocean physics to biogeochemistry is a timely challenge that motivates the present study. The objective of this paper is to investigate the potential benefits of assimilating satellite-estimated chlorophyll data into a basin-scale three-dimensional coupled physical-biogeochemical model of the North-Atlantic. The aim is on one hand to improve forecasts of ocean biogeochemical properties and on the other hand to define a methodology for producing data-driven climatologies based on coupled physical-biogeochemical modelling. A simplified variant of the Kalman filter is used to assimilate ocean color data during a 9 year-long period. In this frame, two experiences are carried out, with and without anamorphic transformations of the state vector variables. Data assimilation efficiency is assessed with respect to the assimilated data set, the nitrate World Ocean Atlas database and a derived climatology. Along the simulation period, the non-linear assimilation scheme clearly improves the surface chlorophyll concentrations analysis and forecast, especially in the North Atlantic bloom region. Nitrate concentration forecasts are also improved thanks to the assimilation of ocean color data while this improvement is limited to the upper layer of the water column, in agreement with recent related litterature. This feature is explained by the weak correlation taken into account by the assimilation between surface phytoplankton and nitrate concentration deeper than 50 m. The assessement of the non-linear assimilation experiments indicates that the proposed methodology provides the skeleton of an assimilative system suitable for reanalysing the ocean biogeochemistry based on ocean color data.

Toward a multivariate reanalysis of the North Atlantic ocean biogeochemistry during 1998–2006 based on the assimilation of SeaWiFS chlorophyll data

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