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http://dx.doi.org/10.3741/JKWRA.2022.55.12.1053

Error analysis of areal mean precipitation estimation using ground gauge precipitation and interpolation method  

Hwang, Seokhwan (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Kang, Narae (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Yoon, Jung Soo (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Korea Water Resources Association / v.55, no.12, 2022 , pp. 1053-1064 More about this Journal
Abstract
The Thiessen method, which is the current area average precipitation method, has serious structural limitations in accurately calculating the average precipitation in the watershed. In addition to the observation accuracy of the precipitation meter, errors may occur in the area average precipitation calculation depending on the arrangement of the precipitation meter and the direction of the heavy rain. When the watershed is small and the station density is sparse, in both simulation and observation history, the Thiessen method showed a peculiar tendency that the average precipitation in the watershed continues to increase and decrease rapidly for 10 minutes before and after the peak. And the average precipitation in the Thiessen basin was different from the rainfall radar at the peak time. In the case where the watershed is small but the station density is relatively high, overall, the Thiessen method did not show a trend of sawtooth-shaped over-peak, and the time-dependent fluctuations were similar. However, there was a continuous time lag of about 10 minutes between the rainfall radar observations and the ground precipitation meter observations and the average precipitation in the basin. As a result of examining the ground correction effect of the rainfall radar watershed average precipitation, the correlation between the area average precipitation after correction is rather low compared to the area average precipitation before correction, indicating that the correction effect of the current rainfall radar ground correction algorithm is not high.
Keywords
Radar; Rainfall radar; Error estimation; Spatial error; Areal mean; Interpolation method;
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