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    Assessing a robust ensemble-based Kalman filter for efficient ecosystem data assimilation of the Cretan Sea

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    Type
    Article
    Authors
    Triantafyllou, George N.
    Hoteit, Ibrahim cc
    Luo, Xiaodong
    Tsiaras, Kostas P.
    Petihakis, George
    KAUST Department
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2013-09
    Permanent link to this record
    http://hdl.handle.net/10754/562939
    
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    Abstract
    An application of an ensemble-based robust filter for data assimilation into an ecosystem model of the Cretan Sea is presented and discussed. The ecosystem model comprises two on-line coupled sub-models: the Princeton Ocean Model (POM) and the European Regional Seas Ecosystem Model (ERSEM). The filtering scheme is based on the Singular Evolutive Interpolated Kalman (SEIK) filter which is implemented with a time-local H∞ filtering strategy to enhance robustness and performances during periods of strong ecosystem variability. Assimilation experiments in the Cretan Sea indicate that robustness can be achieved in the SEIK filter by introducing an adaptive inflation scheme of the modes of the filter error covariance matrix. Twin-experiments are performed to evaluate the performance of the assimilation system and to study the benefits of using robust filtering in an ensemble filtering framework. Pseudo-observations of surface chlorophyll, extracted from a model reference run, were assimilated every two days. Simulation results suggest that the adaptive inflation scheme significantly improves the behavior of the SEIK filter during periods of strong ecosystem variability. © 2012 Elsevier B.V.
    Sponsors
    This work was carried out within the framework of the FP7 project MEECE (Marine Ecosystem Evolution in a Changing Environment). Luo acknowledges partial financial support from the Research Council of Norway and industrial partners through the project "Transient well flow modelling and modern estimation techniques for accurate production allocation". We would like to thank the anonymous reviewers for their constructive comments and suggestions.
    Publisher
    Elsevier BV
    Journal
    Journal of Marine Systems
    DOI
    10.1016/j.jmarsys.2012.12.006
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jmarsys.2012.12.006
    Scopus Count
    Collections
    Articles; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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