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

Yanyou Guo; Yijun Hou; Chunmei Zhang; Jie Yang

doi:10.1007/s00343-012-1278-5

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

OriginalPaper | Updated：2023-05-16

- A background error covariance model of significant wave height employing Monte Carlo simulation
- A background error covariance model of significant wave height employing Monte Carlo simulation
- 海洋湖沼学报（英文） 2012年30卷第5期页码：814-821
- Affiliations：
  
  1. Huaihai Institute of Technology
  2. Institute of Oceanology Chinese Academy of Sciences
  3. Meteorological Bureau of Lianyungang
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (Nos. 40806011, U1133001) and the Open Fund of the Key Laboratory of Ocean Circulation and Waves, Chinese Academy of Sciences (No. KLOCAW0806)
- DOI：10.1007/s00343-012-1278-5
  中图分类号：
- 网络首发：2012-09-05，
  
  纸质出版：2012
- Accepted：
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A background error covariance model of significant wave height employing Monte Carlo simulation[J]. 海洋湖沼学报（英文）, 2012,30(5):814-821.

Guo, Y., Hou, Y., Zhang, C. et al. A background error covariance model of significant wave height employing Monte Carlo simulation., Chin. J. Ocean. Limnol. 30, 814–821 (2012). https://doi.org/10.1007/s00343-012-1278-5
A background error covariance model of significant wave height employing Monte Carlo simulation[J]. 海洋湖沼学报（英文）, 2012,30(5):814-821. DOI： 10.1007/s00343-012-1278-5.

Guo, Y., Hou, Y., Zhang, C. et al. A background error covariance model of significant wave height employing Monte Carlo simulation., Chin. J. Ocean. Limnol. 30, 814–821 (2012). https://doi.org/10.1007/s00343-012-1278-5 DOI：

摘要

Abstract

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.

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Keywords

references

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