Physics
Scientific paper
Sep 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3518707r&link_type=abstract
Geophysical Research Letters, Volume 35, Issue 18, CiteID L18707
Physics
11
Hydrology: Glaciology (0736, 0776, 1863), Global Change: Climate Variability (1635, 3305, 3309, 4215, 4513), Global Change: Regional Climate Change, Biogeosciences: Data Sets, Global Change: Instruments And Techniques
Scientific paper
In this study, using 104 years (1901-2004) of high resolution daily gridded rainfall data, variability and long-term trends of extreme rainfall events over central India have been examined. Frequency of extreme rainfall events shows significant inter-annual and inter-decadal variations in addition to a statistically significant long term trend of 6% per decade. Detailed analysis shows that inter-annual, inter-decadal and long-term trends of extreme rainfall events are modulated by the SST variations over the tropical Indian Ocean. The present study supports the hypothesis that the increasing trend of extreme rainfall events in the last five decades could be associated with the increasing trend of sea surface temperatures and surface latent heat flux over the tropical Indian Ocean. In the global warming scenario, the coherent relationship between Indian Ocean SST and extreme rainfall events suggests an increase in the risk of major floods over central India.
Bhate Jyoti
Jaswal A. K.
Rajeevan M.
No associations
LandOfFree
Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1334811