DOI: 10.1007/s00382-015-2597-y
Scopus记录号: 2-s2.0-84955748591
论文题名: Precipitation climatology over India: validation with observations and reanalysis datasets and spatial trends
作者: Kishore P. ; Jyothi S. ; Basha G. ; Rao S.V.B. ; Rajeevan M. ; Velicogna I. ; Sutterley T.C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-01-02 起始页码: 541
结束页码: 556
语种: 英语
英文关键词: APHRODITE
; CFSR
; Climatology
; ERA-Interim
; GPCC
; IMD
; India
; JRA-25
; MERRA
; Precipitation
; Trends
; Validation
英文摘要: Changing rainfall patterns have significant effect on water resources, agriculture output in many countries, especially the country like India where the economy depends on rain-fed agriculture. Rainfall over India has large spatial as well as temporal variability. To understand the variability in rainfall, spatial–temporal analyses of rainfall have been studied by using 107 (1901–2007) years of daily gridded India Meteorological Department (IMD) rainfall datasets. Further, the validation of IMD precipitation data is carried out with different observational and different reanalysis datasets during the period from 1989 to 2007. The Global Precipitation Climatology Project data shows similar features as that of IMD with high degree of comparison, whereas Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation data show similar features but with large differences, especially over northwest, west coast and western Himalayas. Spatially, large deviation is observed in the interior peninsula during the monsoon season with National Aeronautics Space Administration-Modern Era Retrospective-analysis for Research and Applications (NASA-MERRA), pre-monsoon with Japanese 25 years Re Analysis (JRA-25), and post-monsoon with climate forecast system reanalysis (CFSR) reanalysis datasets. Among the reanalysis datasets, European Centre for Medium-Range Weather Forecasts Interim Re-Analysis (ERA-Interim) shows good comparison followed by CFSR, NASA-MERRA, and JRA-25. Further, for the first time, with high resolution and long-term IMD data, the spatial distribution of trends is estimated using robust regression analysis technique on the annual and seasonal rainfall data with respect to different regions of India. Significant positive and negative trends are noticed in the whole time series of data during the monsoon season. The northeast and west coast of the Indian region shows significant positive trends and negative trends over western Himalayas and north central Indian region. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53885
Appears in Collections: 过去全球变化的重建
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作者单位: Department of Earth System Science, University of California, Irvine, CA, United States; Department of Physics, Sri Venkateswara University, Tirupati, India; Institute Center for Water and Environment (iWATER), Masdar Institute of Science and Technology, P.O. Box 54224, Abu Dhabi, United Arab Emirates; Ministry of Earth Sciences, Prithvi Bhavan, Mausam Bhavan Campus, New Delhi, India; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Kishore P.,Jyothi S.,Basha G.,et al. Precipitation climatology over India: validation with observations and reanalysis datasets and spatial trends[J]. Climate Dynamics,2016-01-01,46(2017-01-02)