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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
Historic
Publication Date:
2012
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 http://www.worldlibrary.net/


Description
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.

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

Excerpt
Barnier, B., Madec, G., Penduff, T., Molines, J.-M., Treguier, A.-M., Le Sommer, J., Beckmann, A., Biastoch, A., Boning, C., Dengg, J., Derval, C., Durand, E., Gulev, S., Remy, E., Talandier, C., Theetten, S., Maltrud, M., McClean, J., and De Cuevas, B.: Impact of partial steps and momentum advection schemes in a global ocean circulation model at eddy-permitting resolution, Ocean Dynam., 56, 543–567, doi:10.1007/s10236-006-0082-1, 2006.; Berline, L., Brankart, J.-M., Brasseur, P., Ourmières, Y., and Verron, J.: Improving the physics of a coupled physical-biogeochemical model of the North Atlantic through data assimilation: Impact on the ecosystem, J. Mar. Syst., 64, 153–172, doi:10.1016/j.jmarsys.2006.03.007, 2007.; Bertino, L., Evensen, G., and Wackernagel, H.: Sequential Data Assimilation Techniques in Oceanography, Int. Stat. Rev., 71, 223–241, doi:10.1111/j.1751-5823.2003.tb00194.x, 2003.; Bocquet, M., Pires, C. A., and Wu, L.: Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation, Mon. Weather Rev., 138, 2997–3023, doi:10.1175/2010MWR3164.1, 2010.; Boyer, T. P., Antonov, J., Garcia, H., Johnson, D., Locarnini, R., Mishonov, A., Pitcher, M., Baranova, O., and Smolyar, I.: World Ocean Database 2005, US Government Printing Office, Washington D.C., 2006.; Brankart, J.-M., Testut, C.-E., Béal, D., Doron, M., Fontana, C., Meinvielle, M., Brasseur, P., and Verron, J.: Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations, Ocean Sci., 8, 121–142, doi:10.5194/os-8-121-2012, 2012.; Brasseur, P. and Verron, J.: The SEEK filter method for data assimilation in oceanography: a synthesis, Ocean Dynam., 56, 650–661, 2006.; Brasseur, P., Ballabrera-Poy, J., and Verron, J.: Assimilation of altimetric data in the mid-latitude oceans using the Singular Evolutive Extended Kalman filter with an eddy-resolving, primitive equation model, J. Mar. Syst., 22, 269–294, doi:10.1016/S0924-7963(99)00044-5, 1999.; Brodeau, L., Barnier, B., Treguier, A.-M., Penduff, T., and Gulev, S.: An ERA40-based atmospheric forcing for global ocean circulation models, Ocean Model., 31, 88–104, doi:10.1016/j.ocemod.2009.10.005, 2010.; Béal, D., Brasseur, P., Brankart, J.-M., Ourmières, Y., and Verron, J.: Characterization of mixing errors in a coupled physical biogeochemical model of the North Atlantic: implications for nonlinear estimation using Gaussian anamorphosis, Ocean Sci., 6, 247–262, doi:10.5194/os-6-247-2010, 2010.; Carmillet, V., Brankart, J.-M., Brasseur, P., Drange, H., Evensen, G., and Verron, J.: A singular evolutive extended Kalman filter to assimilate ocean color data in a coupled physical-biochemical model of the North Atlantic ocean, Ocean Model., 3, 167–192, doi:10.1016/S1463-5003(01)00007-5, 2001.; Claustre, H., Morel, A., Hooker, S. B., Babin, M., Antoine, D., Oubelkheir, K., Bricaud, A., Leblanc, K., Quéguiner, B., and Maritorena, S.: Is desert dust making oligotrophic waters greener?, Geophys. Res. Lett., 29, 1469, doi:10.1029/2001GL014056, 2002.; Claustre, H., Antoine, D., Boehme, L., Boss, E., D'Ortenzio, F., Fanton D'Andon, O., Guinet, C., Gruber, N., Handegard, N. O., Hood, M., Johnson, K., Lampitt, R., LeTraon, P.-Y., Lequéré, C., Lewis, M., Perry, M.-J., Platt, T., Roemmich, D., T

 

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