DOI: 10.1175/JCLI-D-16-0660.1
Scopus记录号: 2-s2.0-85019005079
论文题名: Boreal summer intraseasonal phases identified by nonlinear multivariate empirical orthogonal function-based self-organizing map (ESOM) analysis
作者: Chu J.-E. ; Wang B. ; Lee J.-Y. ; Ha K.-J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 10 起始页码: 3513
结束页码: 3528
语种: 英语
Scopus关键词: Atmospheric thermodynamics
; Climate change
; Climatology
; Conformal mapping
; Multivariant analysis
; Neural networks
; Nonlinear analysis
; Oceanography
; Self organizing maps
; Wind effects
; Asia
; Empirical Orthogonal Function
; Intraseasonal variability
; Monsoons
; Oscillations
; Orthogonal functions
英文摘要: This study develops an empirical orthogonal function (EOF)-based self-organizing map (SOM) (ESOM) analysis to identify the nonlinear characteristics of the boreal summer intraseasonal oscillation (BSISO), which involves interactions between the summer mean circulation and the convectively coupled equatorial waves, which make BSISO evolution more complex than the Madden-Julian oscillation. The method utilizes the first five principal components of the outgoing longwave radiation (OLR) and the zonal wind at 850 hPa (U850) and has the advantages of filtering out uncertainties from noise and being free from mathematical restrictions, such as orthogonality and linearity. The ESOM analysis enables the detection of BSISO over the Asian summer monsoon region with eight phases. The four most distinguishable phases represent 1) a pair of stationary patterns with a dipole between the eastern Indian Ocean and the Philippine Sea (phases 1 and 5) and 2) a pair of propagating patterns with a northwest-southeast-tilted rain belt structure (phases 3 and 7). Phases 1 and 5 show an alternating seesaw oscillation throughout the summer with a 30-60-day period, whereas phases 3 and 7 peak in mid-June and early June denoting the monsoon rainy season and premonsoon period of Asian summer monsoon. ESOM captures that phases 1 and 5 happen more frequently and last longer than phases 3 and 7, whereas multivariate EOF analysis fails to describe this nonlinear occurrence. Phases 3 and phase 7 display distinct asymmetries in convective activity over the eastern Indian Ocean related to the relatively slow-growing and fast-decaying convective activity. The relationship with large-scale SST forcing is also discussed. © 2017 American Meteorological Society. 资助项目: NRF, National Research Foundation of Korea
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/49705
Appears in Collections: 气候变化事实与影响
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作者单位: Division of Earth Environmental System, College of Natural Science, Pusan National University, Busan, South Korea; Research Center for Climate Sciences, Pusan National University, Busan, South Korea; International Pacific Research Center, University of Hawai'i at Manoa, Honolulu, HI, United States; Department of Meteorology, University of Hawai'i at Manoa, Honolulu, HI, United States; Earth System Modeling Center, Nanjing University of Information Science and Technology, Nanjing, China; Division of Earth Environmental System, College of Natural Science, Research Center for Climate Sciences, Pusan National University, Busan, South Korea; Department of Atmospheric Sciences, Pusan National University, Busan, South Korea
Recommended Citation:
Chu J.-E.,Wang B.,Lee J.-Y.,et al. Boreal summer intraseasonal phases identified by nonlinear multivariate empirical orthogonal function-based self-organizing map (ESOM) analysis[J]. Journal of Climate,2017-01-01,30(10)