• DocumentCode
    3190753
  • Title

    Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation

  • Author

    Wu, Elizabeth ; Chawla, Sanjay

  • Author_Institution
    Univ. of Sydney, Sydney
  • fYear
    2007
  • fDate
    28-31 Oct. 2007
  • Firstpage
    685
  • Lastpage
    692
  • Abstract
    Understanding the spatial variability of precipitation extremes and their relationship to the El Nino 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 mean sure 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 Nino periods.
  • Keywords
    El Nino Southern Oscillation; atmospheric precipitation; statistical analysis; El Nino Southern oscillation phenomenon; El Nino southern oscillation; Moran I statistics; South American precipitation extremes; Southern Oscillation Index; flooding; natural disasters; spatial variability; spatiotemporal analysis; Australia; Autocorrelation; Conferences; Data mining; Floods; Pareto analysis; Performance analysis; South America; Statistical analysis; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2007. ICDM Workshops 2007. Seventh IEEE International Conference on
  • Conference_Location
    Omaha, NE
  • Print_ISBN
    978-0-7695-3019-2
  • Electronic_ISBN
    978-0-7695-3033-8
  • Type

    conf

  • DOI
    10.1109/ICDMW.2007.102
  • Filename
    4476742