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		<citationkey>BelyaevTanaOBri:2000:DaAsMe</citationkey>
		<title>A data assimilation method usedan ocean circulation model and its application to the Tropical Atlantic</title>
		<format>Papel</format>
		<year>2000</year>
		<secondarytype>PRE CI</secondarytype>
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		<size>51 KiB</size>
		<author>Belyaev, Konstantin P.,</author>
		<author>Tanajura, Clemente A. S.,</author>
		<author>O'Brien, James J.,</author>
		<group>CPT-INPE-MCT-BR</group>
		<affiliation>CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil</affiliation>
		<e-mailaddress>fabia@cptec.inpe.br</e-mailaddress>
		<conferencename>International Conference Southern Hemisphere Meteorology and Oceanography, 6.</conferencename>
		<conferencelocation>Santiago-Chile</conferencelocation>
		<date>3-7 apr.</date>
		<publisher>American Meteorological Society</publisher>
		<pages>35-36</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Poster Session</tertiarytype>
		<organization>AMS</organization>
		<transferableflag>1</transferableflag>
		<versiontype>publisher</versiontype>
		<abstract>A data assimilation method based on the well-known Kalman theory is considered in conjunction with the Modular  Ocean Model (MOM_2) Eram NOAAI GFDL. This method is applied and verified along with the observational surface and subsurface temperatures fromthe PIRATA data set. In this paper another method for the definition of the errar covariance matrix is presented. It continues the studies published in the paper by authors (Belyaev K., S. Meyers and J.J.O'Brien 1999) The present method is applied to the GFDL primitive equation ocean model MOM_2 (Bryan 1969). The goal is to demonstrate the usefulness of the assimilation technique. This model is used only as a tool for the calculation of the thermodynamic fields, their prediction and variability. It has wide applications. Many papers discuss the model and its developments. Also, the Pilot Research Moored Array in the Tropical Atlantic (PlRA TA) data set is used here. This includes sea surface and subsurface temperatures records.</abstract>
		<area>MET</area>
		<language>en</language>
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