Effect of zero measurements on the spatial correlation structure of rainfall

Chulsang Yoo, Eunho Ha

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


In this study, the effect of zero measurements on the spatial correlation function of rainfall is analyzed for the quantification of a rainfall field. The use of a bivariate mixed distribution function made it possible to analyze and compare the spatial correlation functions for these three different data sets: only the positive measurements at both gauge locations, positive measurements at either one or both gauge locations, and all measurements including zero at both locations. As an example, the spatial correlation functions are derived for the Geum River Basin, Korea and evaluated for the wet and dry seasons, respectively. Results show that the effect of zero measurements on spatial correlation structures is significant during the wet season, when the inter-station correlations were estimated significantly lower than those during the dry season. It was also found that only the case considering positive measurements are valid for the quantification of rainfall field. Even during the wet season, the inter-station correlation coefficients derived by considering the zero measurements show their high variability along with many abnormally looking high estimates, which made the quantification of the spatial correlation function become very ambiguous.

Original languageEnglish
Pages (from-to)287-297
Number of pages11
JournalStochastic Environmental Research and Risk Assessment
Issue number3
Publication statusPublished - 2007 Feb


  • Bivariate mixed distribution
  • Rainfallin termittency
  • Spatial correlation
  • Zero measurement

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • General Environmental Science


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