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
发表期刊ADVANCES IN ATMOSPHERIC SCIENCES
卷号33期号:7页码:875-888
文章类型Article
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.
关键词Four-dimensional Variational Data Assimilation Intermediate Coupled Model Twin Experiment Enso Prediction
DOI10.1007/s00376-016-5249-1
收录类别SCI
语种英语
WOS记录号WOS:000376408600008
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
版本出版稿
条目标识符http://ir.qdio.ac.cn/handle/337002/131090
专题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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Testing a four-dimen(1168KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Gao, Chuan]的文章
[Wu, Xinrong]的文章
[Zhang, Rong-Hua]的文章
百度学术
百度学术中相似的文章
[Gao, Chuan]的文章
[Wu, Xinrong]的文章
[Zhang, Rong-Hua]的文章
必应学术
必应学术中相似的文章
[Gao, Chuan]的文章
[Wu, Xinrong]的文章
[Zhang, Rong-Hua]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。