Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction
文献类型：期刊论文
| 作者 | Gao, Chuan1,2 ; Wu, Xinrong3; Zhang, Rong-Hua1,4
|
| 刊名 | ADVANCES IN ATMOSPHERIC SCIENCES
 |
| 出版日期 | 2016-07-01 |
| 卷号 | 33期号:7页码:875-888 |
| 关键词 | Four-dimensional variational data assimilation intermediate coupled model twin experiment ENSO prediction |
| 英文摘要 | A 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. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000376408600008 |
| 版本 | 出版稿 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/131090]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：海洋研究所
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