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Data assimilation; parameter estimation; bio-physical model

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.

J M Lellouche¹ M Ouberdous¹ W Eifler¹

1. Space Applications Institute, Marine Environment Unit, TP 690, Joint Research Centre of the European Commission, Ispra, VA - I-21020, Italy

Published

December 2000