Spatio-temporal analysis of the relationship between South American precipitation extremes and the El Niño Southern Oscillation

Elizabeth Wu, Sanjay Chawla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Understanding the spatial variability of precipitation extremes and their relationship to the El Niño Southern Oscillation (ENSO) phenomenon is a valuable task since precipitation extremes are often related to natural disasters such as flooding. This study aims to evaluate and provide insight into the relationship between ENSO and the parameters 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 measure of the intensity of ENSO at a given time. Through analysis, we are the first to show increased spatial dependence of the parameters of the extreme value distributions between regions during strong El Niño periods.

Original languageEnglish
Title of host publicationICDM Workshops 2007 - Proceedings of the 17th IEEE International Conference on Data Mining Workshops
Pages685-690
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2007
Event17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007 - Omaha, NE, United States
Duration: 28 Oct 200731 Oct 2007

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Conference

Conference17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007
CountryUnited States
CityOmaha, NE
Period28/10/0731/10/07

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wu, E., & Chawla, S. (2007). Spatio-temporal analysis of the relationship between South American precipitation extremes and the El Niño Southern Oscillation. In ICDM Workshops 2007 - Proceedings of the 17th IEEE International Conference on Data Mining Workshops (pp. 685-690). [4476742] (Proceedings - IEEE International Conference on Data Mining, ICDM). https://doi.org/10.1109/ICDMW.2007.102