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
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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) |
卷 | 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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