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http://dx.doi.org/10.3741/JKWRA.2015.48.11.937

Development of Radar Polygon Method : Areal Rainfall Estimation Technique Based on the Probability of Similar Rainfall Occurrence  

Cho, Woonki (Department of Civil Engineering, Hongik University)
Lee, Dongryul (Center of Disaster Research and Hydrologic Data Center Using Radar Measurement, Korea Institute of Construction Technology)
Lee, Jaehyeon (Department of Civil Engineering, Hongik University)
Kim, Dongkyun (Department of Civil Engineering, Hongik University)
Publication Information
Journal of Korea Water Resources Association / v.48, no.11, 2015 , pp. 937-944 More about this Journal
Abstract
This study proposed a novel technique, namely the Radar Polygon Method (RPM), for areal rainfall estimation based on radar precipitation data. The RPM algorithm has the following steps: 1. Determine a map of the similar rainfall occurrence of which each grid cell contains the binary information on whether the grid cell rainfall is similar to that of the observation gage; 2. Determine the similar rainfall probability map for each gage of which each grid cell contains the probability of having the rainfall similar to that of the observation gage; 3. Determine the governing territory of each gage by comparing the probability maps of the gages. RPM method was applied to the Anseong stream basin. Radar Polygons and Thiessen Polygons of the study area were similar to each other with the difference between the two being greater for the rain gage highly influenced by the orography. However, the weight factor between the two were similar with each other. The significance of this study is to pioneer a new application field of radar rainfall data that has been limited due to short observation period and low accuracy.
Keywords
Radar; Areal rainfall; Mean areal precipitation; Thiessen; Weight;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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