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Development of Radar Polygon Method : Areal Rainfall Estimation Technique Based on the Probability of Similar Rainfall Occurrence
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 Title & Authors
Development of Radar Polygon Method : Areal Rainfall Estimation Technique Based on the Probability of Similar Rainfall Occurrence
Cho, Woonki; Lee, Dongryul; Lee, Jaehyeon; Kim, Dongkyun;
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 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;
 Language
Korean
 Cited by
 References
1.
Fiedler, F.R. (2003). "Simple, practical method for determining station weights using Thiessen polygons and isohyetal maps." Journal of Hydrologic engineering, Vol. 8, No. 4, pp. 219-221. crossref(new window)

2.
Ho, C., and Kang, I. (1988). "The variability of Precipitation in korea." Journal of Korean Met Society, Vol. 24, No. 1, pp.

3.
Hong, j., Kim, B., and Yoon, S. (2006). "Evaluation of Accuracy of the Physics Based Distributed Hydrologic Model Using $Vflo^{TM}$ Model." Journal of the Korean Society of Civil Engineers B, Vol. 26, No. 6B, pp. 613-622.

4.
Lim, J.S. (1990). Two-dimensional signal and image processing. Prentice Hall, Englewood Cliffs, N.J., pp. 710

5.
Yoo, C., Kim, S., and Yoon, Y. (2002). "Estimation error of areal average rainfall and its effect on runoff computation." Journal of the Korea Water Resources Association, Vol. 35, No. 3, pp. 307-319. crossref(new window)

6.
Yoon, Y. (1998). Industry Hydrology. Cheongmungak, pp. 65.