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      Permanent link:
      https://www.ias.ac.in/article/fulltext/jess/109/04/0491-0502

    • Keywords

       

      Data assimilation; parameter estimation; bio-physical model

    • 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.

    • Author Affiliations

       

      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
    • Dates

       
  • Journal of Earth System Science | News

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