中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A background error covariance model of significant wave height employing Monte Carlo simulation

文献类型:CNKI期刊论文

作者Guo YY(郭衍游); Hou YY(侯一筠); Zhang CM(张春美); Yang J(杨杰)
发表日期2012-09-15
出处Chinese Journal of Oceanology and Limnology
关键词background error covariance data assimilation Monte Carlo method ocean wave
英文摘要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.
文献子类CNKI期刊论文
资助机构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)
v.30期:05页:104-111
语种英文;
分类号P714.1
ISSN号0254-4059
源URL[http://ir.qdio.ac.cn/handle/337002/191137]  
专题中国科学院海洋研究所
作者单位1.InstituteofOceanology,ChineseAcademyofSciences
2.HuaihaiInstituteofTechnology
3.MeteorologicalBureauofLianyungang
推荐引用方式
GB/T 7714
Guo YY,Hou YY,Zhang CM,et al. A background error covariance model of significant wave height employing Monte Carlo simulation. 2012.

入库方式: OAI收割

来源:海洋研究所

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