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APPLICATIONS IN COASTAL MODELING AND FORECASTING

机译:在海岸建模与预测中的应用

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摘要

During the Global Ocean Data Assimilation Experiment (GODAE), numerical modeling and prediction in coastal and shelf seas benefited from development of state-of-the-art, data-assimilative, and data-validated large-scale models that can supply initial and boundary conditions to nested domains. Rather than attempting an exhaustive synthesis, this article illustrates the progress in coastal ocean modeling and prediction made possible by GODAE, either directly by providing estimates, or more subtly by rendering coastal forecasting more feasible and its applications more obvious.
机译:在全球海洋数据同化实验(GODAE)期间,沿海和陆架海域的数值建模和预测得益于可提供初始和边界的先进,数据同化和数据验证的大型模型嵌套域的条件。本文没有尝试详尽的综合,而是说明了GODAE在沿海海洋建模和预测方面的进展,它可以直接提供估计值,也可以通过使沿海预测更加可行并且其应用更加明显而更加巧妙地实现。

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  • 来源
    《Oceanography》 |2009年第3期|198-205|共8页
  • 作者单位

    Laboratoire d'Etudes en Geophysique et Oceanographie Spatiales, Centre National de la Recherche Scientifique, Observatoire Midi Pyrenees, Toulouse, France;

    Coastal Waters Program, CSIRO Marine and Atmospheric Research, Hobart, Tasmania, Australia;

    Department of Fisheries and Oceans, St. John's, Newfoundland, Canada;

    University of California, Santa Cruz, CA, USA;

    Department of Geophysics, Graduate School of Science, Kyoto University, Kyoto, Japan;

    Naval Research Laboratory, Stennis Space Center, MS, USA;

    Proudman Oceanographic Laboratory, Liverpool, UK, and is currently Director, e-Marine Information Infrastructure Facility, integrated Marine Observing System, University of Tasmania, Hobart, Tasmania, Australia;

    Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada;

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;

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