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Data assimilation in a simple marine ecosystem model based on spatial biological parameterizations

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  • Fan, Wei
  • Lv, Xianqing

Abstract

Assuming that a set of constant parameters fits for marine ecosystem modeling and parameter estimation studies on large space scales is questionable since ecosystem types spanning long distances are quite different. In this study, SeaWiFS chlorophyll-a data are assimilated into a simple NPZD model by the adjoint method in a climatological physical environment provided by FOAM. To improve the assimilation results, different spatial parameterization schemes are utilized. The results show that the values of the selected sensitive parameters are spatially variable and the application of spatial parameterizations can improve the assimilation results significantly.

Suggested Citation

  • Fan, Wei & Lv, Xianqing, 2009. "Data assimilation in a simple marine ecosystem model based on spatial biological parameterizations," Ecological Modelling, Elsevier, vol. 220(17), pages 1997-2008.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:17:p:1997-2008
    DOI: 10.1016/j.ecolmodel.2009.04.050
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    Cited by:

    1. Heinle, A. & Slawig, T., 2013. "Internal dynamics of NPZD type ecosystem models," Ecological Modelling, Elsevier, vol. 254(C), pages 33-42.
    2. Xiaona Li & Quanxin Zheng & Xianqing Lv, 2019. "Application of the Spline Interpolation in Simulating the Distribution of Phytoplankton in a Marine NPZD Type Ecosystem Model," IJERPH, MDPI, vol. 16(15), pages 1-12, July.

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