Altimeter significant wave height data assimilation in the South China Sea using Ensemble Optimal Interpolation

doi:10.1007/s00343-014-4252-6

IOCAS-IR > 海洋环流与波动重点实验室

	Altimeter significant wave height data assimilation in the South China Sea using Ensemble Optimal Interpolation
	Cao Lei1,2,3 ; Hou Yijun 1,2; Qi Peng1,2
	2015-09-01
发表期刊	CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
卷号	33 期号:5 页码:1309-1319
文章类型	Article
摘要	The application of ensemble optimal interpolation in wave data assimilation in the South China Sea is presented. A sampling strategy for a stationary ensemble is first discussed. The stationary ensemble is constructed by sampling from 24-h-interval significant wave height differences of model outputs over a long period, and is validated with altimeter significant wave height data, indicating that the ensemble errors have nearly the same probability distribution function. The background error covariance fields expressed by the ensemble sampled are anisotropic. Updating the static samples by season, the seasonal characteristics of the correlation coefficient distribution are reflected. Hindcast experiments including assimilation and control runs are conducted for the summer of 2010 in the South China Sea. The effect of ensemble optimal interpolation assimilation on wave hindcasts is validated using different satellite altimeter data (Jason-1 and 2 and ENVISAT) and buoy observations. It is found that the ensemble-optimal-interpolation-based wave assimilation scheme for the South China Sea achieves improvements similar to those of the previous optimal-interpolation-based scheme, indicating that the practical application of this computationally cheap ensemble method is feasible.
关键词	Ensemble Optimal Interpolation Wave Assimilation Stationary Ensemble
DOI	10.1007/s00343-014-4252-6
收录类别	SCI
语种	英语
WOS记录号	WOS:000360846900021
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/50756
专题	海洋环流与波动重点实验室海洋环境腐蚀与生物污损重点实验室
作者单位	1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 2.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
第一作者单位	中国科学院海洋研究所; 海洋环流与波动重点实验室
推荐引用方式 GB/T 7714	Cao Lei,Hou Yijun,Qi Peng. Altimeter significant wave height data assimilation in the South China Sea using Ensemble Optimal Interpolation[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2015,33(5):1309-1319.
APA	Cao Lei,Hou Yijun,&Qi Peng.(2015).Altimeter significant wave height data assimilation in the South China Sea using Ensemble Optimal Interpolation.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,33(5),1309-1319.
MLA	Cao Lei,et al."Altimeter significant wave height data assimilation in the South China Sea using Ensemble Optimal Interpolation".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 33.5(2015):1309-1319.

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