globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-014-2181-x
Scopus记录号: 2-s2.0-84924979828
论文题名:
The skill of atmospheric linear inverse models in hindcasting the Madden–Julian Oscillation
作者: Cavanaugh N.R.; Allen T.; Subramanian A.; Mapes B.; Seo H.; Miller A.J.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 44, 期:2017-03-04
起始页码: 897
结束页码: 906
语种: 英语
英文关键词: Hindcast ; Linear inverse model ; Madden–Julian Oscillation ; Predictability ; Tropical dynamics
英文摘要: A suite of statistical atmosphere-only linear inverse models of varying complexity are used to hindcast recent MJO events from the Year of Tropical Convection and the Cooperative Indian Ocean Experiment on Intraseasonal Variability/Dynamics of the Madden–Julian Oscillation mission periods, as well as over the 2000–2009 time period. Skill exists for over two weeks, competitive with the skill of some numerical models in both bivariate correlation and root-mean-squared-error scores during both observational mission periods. Skill is higher during mature Madden–Julian Oscillation conditions, as opposed to during growth phases, suggesting that growth dynamics may be more complex or non-linear since they are not as well captured by a linear model. There is little prediction skill gained by including non-leading modes of variability. © 2014, Springer-Verlag Berlin Heidelberg.
资助项目: NSF, National Science Foundation ; ONR, National Science Foundation ; ONR, National Science Foundation ; ONR, National Science Foundation ; NSF, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54425
Appears in Collections:过去全球变化的重建

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作者单位: Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, United States; Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, United States; Woods Hole Oceanographic Institution, Massachusetts Institute of Technology, Woods Hole, MA, United States

Recommended Citation:
Cavanaugh N.R.,Allen T.,Subramanian A.,et al. The skill of atmospheric linear inverse models in hindcasting the Madden–Julian Oscillation[J]. Climate Dynamics,2014-01-01,44(2017-03-04)
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