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

作     者：郭衍游 侯一筠 张春美 杨杰 

作者机构：Huaihai Institute of Technology Institute of OceanologyChinese Academy of Sciences Meteorological Bureau of Lianyungang 

出 版 物：《Chinese Journal of Oceanology and Limnology》 (中国海洋湖沼学报（英文版）)

年 卷 期：2012年第30卷第5期

页      面：814-821页

核心收录：

学科分类：08[工学] 0816[工学-测绘科学与技术] 

基　　金：Supported by the National Natural Science Foundation of China (Nos.40806011,U1133001) the Open Fund of the Key Laboratory of Ocean Circulation and Waves,Chinese Academy of Sciences(No. KLOCAW0806) 

主　　题：background error covariance data assimilation Monte Carlo method ocean wave 

摘      要：The quality of background error statistics is one of the key components for successful assimilation of observations in a numerical *** 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 ***,error statistics are in fact functions of the physical processes governing the meteorological situation and vary with the wave *** this paper,we simulated the BEC of the significant wave height(SWH) employing Monte Carlo *** 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 *** results show that the new BEC model benefits wave prediction and allows reasonable approximations of anisotropy and inhomogeneous errors.