Data-driven tools cast geographical patterns of rainfall extremes in new light
http://www.ornl.gov/info/press_releases/get_press_release.cfm?ReleaseNumber=mr20111219-00[font face=Times, Serif]Media Contact: Ron Walli
Communications and External Relations
865.576.0226
[font size=5]Data-driven tools cast geographical patterns of rainfall extremes in new light[/font]
[font size=3]OAK RIDGE, Tenn., Dec. 19, 2011 Using statistical analysis methods to examine rainfall extremes in India, a team of researchers has made a discovery that resolves an ongoing debate in published findings and offers new insights.
The study, initiated by Auroop Ganguly and colleagues at Oak Ridge National Laboratory, reports no evidence for uniformly increasing trends in rainfall extremes averaged over the entire Indian region. It does, however, find a steady and significant increase in the spatial variability of rainfall extremes over the region.
These findings, published in Nature Climate Change, are contrary to results of some earlier work on this subject. The new study uses statistical methods designed explicitly for modeling extreme values and associated uncertainties.
"Our research suggests that one needs to be aware of the different characterizations of extremes and that these characterizations require both interpretability and statistical rigor," said Ganguly, now a faculty member at Northeastern University in Boston.
[/font][/font]
http://www.nature.com/nclimate/journal/vaop/ncurrent/full/nclimate1327.html