IOCAS-IR  > 海洋环流与波动重点实验室
Relationships between Optimal Precursors Triggering NAO Onset and Optimally Growing Initial Errors during NAO Prediction
Dai, Guokun1,2; Mu, Mu3; Jiang, Zhina4
2016
Source PublicationJOURNAL OF THE ATMOSPHERIC SCIENCES
Volume73Issue:1Pages:293-317
SubtypeArticle
AbstractBased on a viewpoint that the North Atlantic Oscillation (NAO) is a nonlinear initial-value problem, the predictability of NAO event onset is studied through investigation of the relationship between the optimal precursor (OPR) to its onset and the optimally growing initial error (OGE) in onset prediction. The problem is explored by the method of conditional nonlinear optimal perturbation with a triangular T21, three-level, quasigeostrophic global spectral model.For the NAO onset, there are two types of OGEs. Numerical results show that, with the optimization time of 3 days, a type-1 OGE bears a great resemblance to OPR, and the similarity coefficient between them is 0.98 for both positive (NAO+) and negative NAO (NAO-). A type-2 OGE is also characterized by a similar pattern to OPR, but with an opposite sign. With the extension of the optimization time to 7 days, the similarity coefficient between OPR and type-1 (type 2) OGE gradually decreases to 0.82 (-0.81) for NAO- and 0.87 (-0.57) for NAO+. However, in the linear regime, such high similarity between OPR and OGE can only be found with an optimization time of 3 days.Further analysis reveals that a type-1 (type 2) OGE has a similar growth behavior to that of the corresponding OPR of the same-phase (opposite phase) NAO event, both of which develop into a dipole NAO anomaly pattern. This similarity between OPR and OGE suggests that the nonlinear process plays an important role in the NAO event, which simultaneously provides a theoretical foundation for its targeted observations.
DOI10.1175/JAS-D-15-0109.1
Indexed BySCI
Language英语
WOS IDWOS:000367398300001
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/86632
Collection海洋环流与波动重点实验室
Affiliation1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
4.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Recommended Citation
GB/T 7714
Dai, Guokun,Mu, Mu,Jiang, Zhina. Relationships between Optimal Precursors Triggering NAO Onset and Optimally Growing Initial Errors during NAO Prediction[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2016,73(1):293-317.
APA Dai, Guokun,Mu, Mu,&Jiang, Zhina.(2016).Relationships between Optimal Precursors Triggering NAO Onset and Optimally Growing Initial Errors during NAO Prediction.JOURNAL OF THE ATMOSPHERIC SCIENCES,73(1),293-317.
MLA Dai, Guokun,et al."Relationships between Optimal Precursors Triggering NAO Onset and Optimally Growing Initial Errors during NAO Prediction".JOURNAL OF THE ATMOSPHERIC SCIENCES 73.1(2016):293-317.
Files in This Item:
File Name/Size DocType Version Access License
Relationships betwee(5657KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Dai, Guokun]'s Articles
[Mu, Mu]'s Articles
[Jiang, Zhina]'s Articles
Baidu academic
Similar articles in Baidu academic
[Dai, Guokun]'s Articles
[Mu, Mu]'s Articles
[Jiang, Zhina]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Dai, Guokun]'s Articles
[Mu, Mu]'s Articles
[Jiang, Zhina]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Relationships between Optimal Precursors Triggering NAO Onset and Optimally Growing Initial Errors during NAO Prediction.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.