A data assimilation method used with an ocean circulation model and its application to the tropical Atlantic

A data assimilation method based on the Kalman-filter theory is presented and tested with the NOAA/GFDL Modular Ocean Model (MOM_2). The method is used to assimilate observed tropical Atlantic Ocean surface and subsurface temperatures obtained from the PIRATA moored buoy array. Comparison between mo...

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Bibliographic Details
Published inApplied mathematical modelling Vol. 25; no. 8; pp. 655 - 670
Main Authors Belyaev, Konstantin P., Tanajura, Clemente A.S., O'Brien, James J.
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.08.2001
Subjects
Data assimilation
Fokker–Planck equation
Marine
NOAA/GFDL MOM_2 ocean circulation model
PIRATA project
AS, Tropical Atlantic
Fokker–Planck equation
PIRATA project
NOAA/GFDL MOM_2 ocean circulation model
Data assimilation
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Summary:A data assimilation method based on the Kalman-filter theory is presented and tested with the NOAA/GFDL Modular Ocean Model (MOM_2). The method is used to assimilate observed tropical Atlantic Ocean surface and subsurface temperatures obtained from the PIRATA moored buoy array. Comparison between model results with and without assimilation shows that the method works properly, and that it has some advantages in relation to a standard Kalman-filter technique. It provides better agreement with the observed temperature intraseasonal variability, and it does not require linearity of a numerical model.
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ISSN:0307-904X
DOI:10.1016/S0307-904X(01)00003-8