Changing Frequency and Intensity of Rainfall Extremes over India from 1951 to 2003

被引:146
作者
Krishnamurthy, Chandra Kiran B. [1 ]
Lall, Upmanu [2 ]
Kwon, Hyun-Han [3 ]
机构
[1] Columbia Univ, Sch Int & Publ Affairs, New York, NY 10027 USA
[2] Columbia Univ, Dept Earth & Environm Engn, New York, NY 10027 USA
[3] Korea Inst Construct Technol, Div Water Resources, Gyeonggi Do, South Korea
关键词
FIELD SIGNIFICANCE; MONSOON; VARIABILITY; TRENDS; TESTS;
D O I
10.1175/2009JCLI2896.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Using a 1951-2003 gridded daily rainfall dataset for India, the authors assess trends in the intensity and frequency of exceedance of thresholds derived from the 90th and the 99th percentile of daily rainfall. A nonparametric method is used to test for monotonic trends at each location. A field significance test is also applied at the national level to assess whether the individual trends identified could occur by chance in an analysis of the large number of time series analyzed. Statistically significant increasing trends in extremes of rainfall are identified over many parts of India, consistent with the indications from climate change models and the hypothesis that the hydrological cycle will intensify as the planet warms. Specifically, for the exceedance of the 99th percentile of daily rainfall, all locations where a significant increasing trend in frequency of exceedance is identified also exhibit a significant trend in rainfall intensity. However, extreme precipitation frequency over many parts of India also appears to exhibit a decreasing trend, especially for the exceedance of the 90th percentile of daily rainfall. Predominantly increasing trends in the intensity of extreme rainfall are observed for both exceedance thresholds.
引用
收藏
页码:4737 / 4746
页数:10
相关论文
共 24 条
[1]   Global observed changes in daily climate extremes of temperature and precipitation [J].
Alexander, LV ;
Zhang, X ;
Peterson, TC ;
Caesar, J ;
Gleason, B ;
Tank, AMGK ;
Haylock, M ;
Collins, D ;
Trewin, B ;
Rahimzadeh, F ;
Tagipour, A ;
Kumar, KR ;
Revadekar, J ;
Griffiths, G ;
Vincent, L ;
Stephenson, DB ;
Burn, J ;
Aguilar, E ;
Brunet, M ;
Taylor, M ;
New, M ;
Zhai, P ;
Rusticucci, M ;
Vazquez-Aguirre, JL .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D5)
[2]  
[Anonymous], 1997, CAMBRIDGE SERIES STA
[3]  
Bhaskaran B, 1998, INT J CLIMATOL, V18, P1455, DOI 10.1002/(SICI)1097-0088(19981115)18:13<1455::AID-JOC331>3.0.CO
[4]  
2-D
[5]   Field significance revisited: Spatial bias errors in forecasts as applied to the Eta Model [J].
Elmore, KL ;
Baldwin, ME ;
Schultz, DM .
MONTHLY WEATHER REVIEW, 2006, 134 (02) :519-531
[6]   The Indian monsoon and its variability [J].
Gadgil, S .
ANNUAL REVIEW OF EARTH AND PLANETARY SCIENCES, 2003, 31 :429-467
[7]   Statistical analysis of rainfall insurance payouts in southern India [J].
Gine, Xavier ;
Townsend, Robert ;
Vickery, James .
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 2007, 89 (05) :1248-1254
[8]   Increasing trend of extreme rain events over India in a warming environment [J].
Goswami, B. N. ;
Venugopal, V. ;
Sengupta, D. ;
Madhusoodanan, M. S. ;
Xavier, Prince K. .
SCIENCE, 2006, 314 (5804) :1442-1445
[9]   Trends in the rainfall pattern over India [J].
Guhathakurta, P. ;
Rajeevan, M. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2008, 28 (11) :1453-1469
[10]   2 GUIDELINES FOR BOOTSTRAP HYPOTHESIS-TESTING [J].
HALL, P ;
WILSON, SR .
BIOMETRICS, 1991, 47 (02) :757-762