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 Yijun1,2; Qi Peng1,2
2015-09-01
Source PublicationCHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
Volume33Issue:5Pages:1309-1319
SubtypeArticle
AbstractThe 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.
KeywordEnsemble Optimal Interpolation Wave Assimilation Stationary Ensemble
DOI10.1007/s00343-014-4252-6
Indexed BySCI
Language英语
WOS IDWOS:000360846900021
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/50756
Collection海洋环流与波动重点实验室
海洋环境腐蚀与与生物污损重点实验室
Affiliation1.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
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences;  Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
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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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