Effect of zero measurements on the spatial correlation structure of rainfall |
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Authors: | Chulsang Yoo Eunho Ha |
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Institution: | (1) Department of Civil and Environmental Engineering, College of Engineering, Korea University, Seoul, 136-701, South Korea;(2) Department of Statistics, College of Liberal Arts and Sciences, Yonsei University, Wonju, Kangwon, 222-701, South Korea |
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Abstract: | 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. |
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Keywords: | Zero measurement Rainfall intermittency Spatial correlation Bivariate mixed distribution |
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