IOCAS-IR  > 海洋环流与波动重点实验室
Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction
Gao, Chuan1,2; Wu, Xinrong3; Zhang, Rong-Hua1,4
2016-07-01
Source PublicationADVANCES IN ATMOSPHERIC SCIENCES
Volume33Issue:7Pages:875-888
SubtypeArticle
AbstractA four-dimensional variational (4D-Var) data assimilation method is implemented in an improved intermediate coupled model (ICM) of the tropical Pacific. A twin experiment is designed to evaluate the impact of the 4D-Var data assimilation algorithm on ENSO analysis and prediction based on the ICM. The model error is assumed to arise only from the parameter uncertainty. The "observation" of the SST anomaly, which is sampled from a "truth" model simulation that takes default parameter values and has Gaussian noise added, is directly assimilated into the assimilation model with its parameters set erroneously. Results show that 4D-Var effectively reduces the error of ENSO analysis and therefore improves the prediction skill of ENSO events compared with the non-assimilation case. These results provide a promising way for the ICM to achieve better real-time ENSO prediction.
KeywordFour-dimensional Variational Data Assimilation Intermediate Coupled Model Twin Experiment Enso Prediction
DOI10.1007/s00376-016-5249-1
Indexed BySCI
Language英语
WOS IDWOS:000376408600008
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/131090
Collection海洋环流与波动重点实验室
Affiliation1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100029, Peoples R China
3.Natl Marine Data & Informat Serv, State Ocean Adm, Key Lab Marine Environm Informat Technol, Tianjin 300000, Peoples R China
4.Qingdao Natl Lab Marine Sci & Technol, Lab Ocean & Climate Dynam, Qingdao 266237, Peoples R China
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Gao, Chuan,Wu, Xinrong,Zhang, Rong-Hua. Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2016,33(7):875-888.
APA Gao, Chuan,Wu, Xinrong,&Zhang, Rong-Hua.(2016).Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction.ADVANCES IN ATMOSPHERIC SCIENCES,33(7),875-888.
MLA Gao, Chuan,et al."Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction".ADVANCES IN ATMOSPHERIC SCIENCES 33.7(2016):875-888.
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