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4D-Var data assimilation system for a coupled physical biological model
[摘要] A 3-compartment model of phytoplankton growth dynamics has been coupled with a primitive-equation circulation model to better understand and quantify physical and biological processes in the Adriatic Sea. This paper presents the development and application of a data assimilation procedure based on optimal control theory. The aim of the procedure is to identify a set of model coefficient values that ensures the best fit between data and model results by minimizing a function that measures model and data discrepancies. In this sense, twin experiments have been successfully implemented in order to have a better estimation of biological model parameters and biological initial conditions.
[发布日期]  [发布机构] 
[效力级别]  [学科分类] 天文学(综合)
[关键词] Data assimilation;parameter estimation;bio-physical model. [时效性] 
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