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On the Use of Data Assimilation in Biogeochemical Modelling

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Ocean Weather Forecasting

Abstract

A main objective of applying data assimilation methods to marine ecosystem models is the optimisation of often poorly known model parameters or even of the model’s functional form. Recent efforts in this direction are reviewed. Results obtained so far indicate that presently available data sets can constrain not more 10 to 15 different ecological parameters. This raises questions about the use of more complex models. On the other hand, none of the optimised models yields a satisfactory fit to the observations, suggesting that present ecosystem models are overly simplistic. Implications of these apparently contradictory findings are discussed and a data assimilative strategy for future improvement of marine ecosystem models is suggested.

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Authors and Affiliations

  1. School of Ocean and Earth Science, Southampton Oceanography Centre, Southampton, UK

    Andreas Oschlies

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  1. Andreas Oschlies
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Editors and Affiliations

  1. University of Miami, USA

    Eric P. Chassignet

  2. LEGI, CNRS, Grenoble, France

    Jacques Verron

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Oschlies, A. (2006). On the Use of Data Assimilation in Biogeochemical Modelling. In: Chassignet, E.P., Verron, J. (eds) Ocean Weather Forecasting. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4028-8_24

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