DOI: 10.1175/JCLI-D-15-0423.1
Scopus记录号: 2-s2.0-84964851953
论文题名: Intraseasonal-to-interannual variability of the Indian monsoon identified with the large-scale index for the Indian monsoon system (LIMS)
作者: Carvalho L.M.V. ; Jones C. ; Cannon F. ; Norris J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 8 起始页码: 2941
结束页码: 2962
语种: 英语
Scopus关键词: Climate change
; Climate models
; Rain
; Climate variability
; Interannual variability
; Intraseasonal variability
; Seasonal cycle
; Seasonal variability
; Tropical variability
; Variability
; Atmospheric thermodynamics
; annual variation
; climate prediction
; monsoon
; precipitation (climatology)
; seasonal variation
; India
英文摘要: The Indian monsoon system (IMS) is among the most complex and important climatic features on land. This study proposes a simple and robust method to investigate large-scale variations and changes in the IMS that accounts for fluctuations in amplitude, onset, and duration of the summer monsoon, including active and break phases, and the postmonsoon season. This study uses 35 years (1979-2013) of daily data from the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) at 1° resolution and indicates great potential for application to other reanalyses and climate model datasets. The method is based on combined EOF (CEOF) analysis of variables associated with the IMS's seasonal cycle (precipitation, circulation at 10 m, and temperature and specific humidity at 2 m). The first CEOF (CEOF-1) explains ~40% of the total variance and represents the continental-scale Asian monsoon. The second CEOF (CEOF-2) explains 11% of the variance and characterizes the Indian monsoon variability, including increased precipitation over western, central, and northern parts of India and the monsoon onset and demise over those regions. Thus, CEOF-2 is referred to as the large-scale index for the Indian monsoon system (LIMS). It is shown that LIMS's amplitude is strongly correlated with the total June-September precipitation over India. LIMS is continuous in time and can be used to evaluate significant postmonsoon rainfall events that often affect the Indian subcontinent. Moreover, LIMS exhibits spectral variance on intraseasonal time scales that are associated with active and break phases of the monsoon during summer and enhanced rainfall in the postmonsoon period. © 2016 American Meteorological Society. 资助项目: NASA, National Aeronautics and Space Administration
; NSF, 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/49982
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography, University of California, Santa Barbara, Santa Barbara, CA, United States; Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States
Recommended Citation:
Carvalho L.M.V.,Jones C.,Cannon F.,et al. Intraseasonal-to-interannual variability of the Indian monsoon identified with the large-scale index for the Indian monsoon system (LIMS)[J]. Journal of Climate,2016-01-01,29(8)