DOI: 10.1007/s00382-015-2967-5
Scopus记录号: 2-s2.0-84955568785
论文题名: The global monsoon division combining the k-means clustering method and low-level cross-equatorial flow
作者: Jiang N. ; Qian W. ; Leung J.C.-H.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-07-08 起始页码: 2345
结束页码: 2359
语种: 英语
英文关键词: Cross-equatorial flow
; Division
; Dry–wet alteration
; Global monsoon
; k-Means
英文摘要: The global monsoon domain has been recently determined utilizing two criteria: difference of local maximum and minimum pentad-mean precipitation rates exceeding 4 mm day−1, and wind reversal of low-level cross-equatorial flow. In this paper, 22 major dry–wet alteration regions under six categories were first derived through the k-means clustering method from the climatological evolution of global precipitation. Considering the seasonal influences of the low-level cross-equatorial flow in these major dry–wet alternation regions, the global monsoon was objectively divided into 16 major regions under five climatological precipitation categories. Nine monsoon regions are distributed between Asia and Australia while four regions are from Africa to the Southwest Indian Ocean and three regions in Americas. Precipitation trends during rainy seasons of 1981–2010 were examined in the 16 monsoon regions. Four regions with decreasing trends of precipitation are located in Africa and the Southwest Indian Ocean while three regions with increasing trends are situated in Americas. Six regions of increasing precipitation trends are concentrated in Asia and the biggest increasing trend is found in south China. © 2016, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53500
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Department of Atmospheric and Oceanic Sciences, Peking University, Beijing, China
Recommended Citation:
Jiang N.,Qian W.,Leung J.C.-H.. The global monsoon division combining the k-means clustering method and low-level cross-equatorial flow[J]. Climate Dynamics,2016-01-01,47(2017-07-08)