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http://dx.doi.org/10.7465/jkdi.2017.28.3.483

Bayesian analysis of adjustment function for wind-induced loss of precipitation  

Park, Yeongwoo (Department of Statistics, Kyungpook National University)
Kim, Young Min (Department of Statistics, Kyungpook National University)
Kim, Yongku (Department of Statistics, Kyungpook National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.3, 2017 , pp. 483-492 More about this Journal
Abstract
Precipitation is one of key components in hydrological modeling and water balance studies. A comprehensive, optimized and sustainable water balance monitoring requires the availability of accurate precipitation data. The amount of precipitation measured in a gauge is less than the actual precipitation reaching the ground. The objective of this study is to determine the wind-induced under-catch of solid precipitation and develop a continuous adjustment function for measurements of all types of winter precipitation (from rain to dry snow), which can be used for operational measurements based on data available at standard automatic weather stations. This study provides Bayesian analysis for the systematic structure of catch ratio in precipitation measurement.
Keywords
Adjust function; catch ratio; precipitation; wind-induced loss;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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