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A background error covariance model of significant wave height employing Monte Carlo simulation

机译:基于蒙特卡洛模拟的有效波高背景误差协方差模型

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摘要

The quality of background error statistics is one of the key components for successful assimilation of observations in a numerical model.The background error covariance(BEC)of ocean waves is generally estimated under an assumption that it is stationary over a period of time and uniform over a domain.However,error statistics are in fact functions of the physical processes governing the meteorological situation and vary with the wave condition.In this paper,we simulated the BEC of the significant wave height(SWH)employing Monte Carlo methods.An interesting result is that the BEC varies consistently with the mean wave direction(MWD).In the model domain,the BEC of the SWH decreases significantly when the MWD changes abruptly.A new BEC model of the SWH based on the correlation between the BEC and MWD was then developed.A case study of regional data assimilation was performed,where the SWH observations of buoy 22001 were used to assess the SWH hindcast.The results show that the new BEC model benefits wave prediction and allows reasonable approximations of anisotropy and inhomogeneous errors.
机译:背景误差统计数据的质量是数值模型中观测值成功同化的关键要素之一。通常,海浪的背景误差协方差(BEC)会在一段时间内保持稳定并且在但是,误差统计实际上是控制气象情况的物理过程的函数,并随波浪条件而变化。本文中,我们使用蒙特卡洛方法模拟了有效波高(SWH)的BEC。有趣的结果其BEC随平均波向(MWD)的变化而一致。在模型域中,随MWD突然变化,SWH的BEC显着降低。基于BEC与MWD的相关性的SWH的新BEC模型是进行了区域数据同化的案例研究,其中使用浮标22001的SWH观测值来评估SWH后兆。结果表明,新的BEC模型有利于波的预测,并可以合理地近似各向异性和非均匀误差。

著录项

  • 来源
    《中国海洋湖沼学报(英文版)》 |2012年第5期|814-821|共8页
  • 作者单位

    Huaihai Institute of Technology,Lianyungang 222005,China;

    Institute of Oceanology,Chinese Academy of Sciences,Qingdao 266071,China;

    Institute of Oceanology,Chinese Academy of Sciences,Qingdao 266071,China;

    Meteorological Bureau of Lianyungang,Lianyungang 222006,China;

    Huaihai Institute of Technology,Lianyungang 222005,China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
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