4D-Var data assimilation system for a coupled physical-biological model |
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Authors: | J M Lellouche M Ouberdous W Eifler |
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Institution: | (1) Space Applications Institute, Marine Environment Unit, TP 690, Joint Research Centre of the European Commission, I-21020 Ispra, VA, Italy |
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Abstract: | 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. |
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Keywords: | Data assimilation parameter estimation bio-physical model |
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