An effectivemethod for improving the accuracy of Argo objective analysis

ZHANG Chunling; XU Jianping; BAO Xianwen; WANG Zhenfeng

doi:10.1007/s13131-013-0333-1

An effectivemethod for improving the accuracy of Argo objective analysis

doi: 10.1007/s13131-013-0333-1

1.
Institute ofMarine Environment, Ocean University of China, Qingdao 266003, China;Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
2.
Institute ofMarine Environment, Ocean University of China, Qingdao 266003, China;Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;State Key Laboratory of Satellite Oceanography EnvironmentDynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
3.
Institute ofMarine Environment, Ocean University of China, Qingdao 266003, China
4.
Marine HydrologicMeteorological Center, Command of Navy East China Sea Fleet, Ningbo 312122, China

基金项目: The Marine Public Welfare Special Funds, the State Oceanic Administration of China under contract No. 200705022; the Technology Special Basic Work, the Ministry of Science and Technology under contract No. 2012FY112300; the Basic Scientific Research Special Funds of the Second Institute of Oceanography, the State Oceanic Administration of China under contract No. JT0904.

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出版历程
- 收稿日期: 2012-04-11
- 修回日期: 2012-10-15

An effectivemethod for improving the accuracy of Argo objective analysis

1.
Institute ofMarine Environment, Ocean University of China, Qingdao 266003, China;Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
2.
Institute ofMarine Environment, Ocean University of China, Qingdao 266003, China;Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;State Key Laboratory of Satellite Oceanography EnvironmentDynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
3.
Institute ofMarine Environment, Ocean University of China, Qingdao 266003, China
4.
Marine HydrologicMeteorological Center, Command of Navy East China Sea Fleet, Ningbo 312122, China

摘要

摘要: Based on the optimal interpolation objective analysis of the Argo data, improvements are made to the empirical formula of a background error covariancematrixwidely used in data assimilation and objective analysis systems. Specifically, an estimation of correlation scales that can improve effectively the accuracy of Argo objective analysis has been developed. Thismethod can automatically adapt to the gradient change of a variable and is referred to as “gradient-dependent correlation scalemethod”. Its effect on the Argo objective analysis is verified theoretically with Gaussian pulse and spectrumanalysis. The results of one-dimensional simulation experiment show that the gradient-dependent correlation scales can improve the adaptability of the objective analysis system, making it possible for the analysis scheme to fully absorb the shortwave information of observation in areas with larger oceanographic gradients. The new scheme is applied to the Argo data objective analysis systemin the Pacific Ocean. The results are obviously improved.
- gradient-dependentcorrelationscale /
- backgrounderrorcovariance /
- optimalinterpolation /
- spectrumanalysis /
- Argodata
Abstract: Based on the optimal interpolation objective analysis of the Argo data, improvements are made to the empirical formula of a background error covariancematrixwidely used in data assimilation and objective analysis systems. Specifically, an estimation of correlation scales that can improve effectively the accuracy of Argo objective analysis has been developed. Thismethod can automatically adapt to the gradient change of a variable and is referred to as “gradient-dependent correlation scalemethod”. Its effect on the Argo objective analysis is verified theoretically with Gaussian pulse and spectrumanalysis. The results of one-dimensional simulation experiment show that the gradient-dependent correlation scales can improve the adaptability of the objective analysis system, making it possible for the analysis scheme to fully absorb the shortwave information of observation in areas with larger oceanographic gradients. The new scheme is applied to the Argo data objective analysis systemin the Pacific Ocean. The results are obviously improved.
- gradient-dependent correlation scale /
- background error covariance /
- optimal interpolation /
- spectrumanalysis /
- Argo data

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参考文献(26)

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文章访问数: 1327
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PDF下载量: 1914
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An effectivemethod for improving the accuracy of Argo objective analysis

doi: 10.1007/s13131-013-0333-1

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An effectivemethod for improving the accuracy of Argo objective analysis

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