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On the oceanic impact of a data-assimilation method in a coupled ocean-land-atmosphere model
Authors:Clemente A S Tanajura  Konstantin P Belyaev
Institution:Laboratório Nacional de Computa??o Científica (LNCC/MCT) Av Getúlio Vargas 333, Petrópolis, RJ, 25651–070 Brazil e-mail: cast@lncc.br, BR
Abstract: Based on the Kalman filter theory, a new data-assimilation method has been used to improve the 3-D oceanic temperature field of the Center for Ocean-Land-Atmosphere Studies (COLA) coupled general circulation model. This method is applied to assimilate surface and subsurface temperature of in situ measurements from the Pilot Research Moored Array in the Tropical Atlantic project (PIRATA). The assimilation of the PIRATA data produces an improved representation of the thermal state of the ocean and allows a better estimation of other oceanographic quantities, like meridional heat fluxes and zonal currents. The present paper focuses on the tropical Atlantic and, in particular, it contains new reconstructed temperature profiles. One-month forecast experiments during 1999 were performed and the impact of the assimilation is discussed. Received: 24 April 2001 / Accepted: 8 March 2002
Keywords:  Data assimilation  Kalman filter  Coupled ocean-land-atmosphere general circulation model  Tropical Atlantic  PIRATA project
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