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Coupling of Ocean Color Data to Physical-Biological Models

  • Chapter
Ocean Colour: Theory and Applications in a Decade of CZCS Experience

Part of the book series: Eurocourses: Remote Sensing ((EURS,volume 3))

Abstract

Satellite-derived ocean color distributions provide synoptic views of biological fields that cover wide areas of the ocean. Physical-biological models are useful for quantitative analyses of ocean color data and satellite-derived phytoplankton fields can be used for initialization and verification of physical-biological models. Also assimilation of phytoplankton fields, derived from ocean color measurements, into physical-biological models represents on approach for improving the predictive capability of these models. Five examples of using ocean color data with physical-biological models are described. These include using ocean color data to compare the patterns in temperature and flow fields, to analyze numerical Langrangian particle tracing experiments, evaluation of Eulerian models, to provide input for data assimilation, and to estimate the magnitude of physical and biological processes. Approaches for more sophisticated coupling of ocean color data with physical-biological models are discussed.

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Author information

Authors and Affiliations

  1. National Institute for Resources and Environment, 16-3 Onogawa, Tsukuba, Ibaraki, 305, Japan

    J. Ishizaka

  2. Center for Coastal Physical Oceanography, Crittenton Hall, Old Dominion University, Norfolk, VA, 23529, USA

    E. E. Hofmann

Authors
  1. J. Ishizaka
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  2. E. E. Hofmann
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Editor information

Editors and Affiliations

  1. Commission of the European Communities, Joint Research Centre, Institute for Remote Sensing Applications, Ispra, Italy

    Vittorio Barale  & Peter M. Schlittenhardt  & 

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© 1993 Springer Science+Business Media Dordrecht

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Ishizaka, J., Hofmann, E.E. (1993). Coupling of Ocean Color Data to Physical-Biological Models. In: Barale, V., Schlittenhardt, P.M. (eds) Ocean Colour: Theory and Applications in a Decade of CZCS Experience. Eurocourses: Remote Sensing, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1791-3_11

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  • DOI: https://doi.org/10.1007/978-94-011-1791-3_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4788-3

  • Online ISBN: 978-94-011-1791-3

  • eBook Packages: Springer Book Archive

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