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2013 IEEE 13th International Conference on Data Mining Workshops (2007)
Omaha, Nebraska, USA
Oct. 28, 2007 to Oct. 31, 2007
ISBN: 0-7695-3033-8
pp: 685-692
Understanding the spatial variability of precipitation ex- tremes and their relationship to the El Ni~no Southern Oscil- lation (ENSO) phenomenon is a valuable task since precip- itation extremes are often related to natural disasters such as flooding. This study aims to evaluate and provide in- sight into the relationship between ENSO and the parame- ters of the extreme value distributions over South America for precipitation data between 1978-2004. The relationship between these values, as described by the global and local Moran I statistics, has been analysed against the Southern Oscillation Index (SOI), which is generally used as a mea- sure of the intensity of ENSO at a given time. Through anal- ysis, we are the first to show increased spatial dependence of the parameters of the extreme value distributions between regions during strong El Ni~no periods.
Elizabeth Wu, Sanjay Chawla, "Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Ni?o Southern Oscillation", 2013 IEEE 13th International Conference on Data Mining Workshops, vol. 00, no. , pp. 685-692, 2007, doi:10.1109/ICDMW.2007.102
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