Testing a Four-Dimensional Variational Data Assimilation Method Using an Improved Intermediate Coupled Model for ENSO Analysis and Prediction
文献类型：CNKI期刊论文
| 作者 | Chuan GAO ; Xinrong WU; Rong-Hua ZHANG
|
| 发表日期 | 2016-07-10 |
| 出处 | Advances in Atmospheric Sciences
 |
| 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. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | supported by the National Natural Science Foundation of China (Grant Nos. 41490644, 41475101 and 41421005) ; the CAS Strategic Priority Project (the Western Pacific Ocean System ; Project Nos. XDA11010105, XDA11020306 and XDA11010301) ; the NSFC-Shandong Joint Fund for Marine Science Research Centers (Grant No. U1406401) ; the NSFC Innovative Group Grant (Project No. 41421005) |
| 卷 | v.33期:07页:83-96 |
| 语种 | 英文; |
| 分类号 | P732 |
| ISSN号 | 0256-1530 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/189642]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.KeyLaboratoryofMarineEnvironmentalInformationTechnology,StateOceanicAdministration,NationalMarineDataandInformationService 2.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciences 3.UniversityofChineseAcademyofSciences 4.LaboratoryforOceanandClimateDynamics,QingdaoNationalLaboratoryforMarineScienceandTechnology |
| 推荐引用方式 GB/T 7714 | Chuan GAO,Xinrong WU,Rong-Hua ZHANG. Testing a Four-Dimensional Variational Data Assimilation Method Using an Improved Intermediate Coupled Model for ENSO Analysis and Prediction. 2016. |
入库方式： OAI收割
来源：海洋研究所
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