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http://dx.doi.org/10.7780/kjrs.2018.34.6.1.12

Evolution of Bias-corrected Satellite Rainfall Estimation for Drought Monitoring System in South Korea  

Park, Jihoon (Climate Services and Research Department, APEC Climate Center)
Jung, Imgook (Climate Services and Research Department, APEC Climate Center)
Park, Kyungwon (Climate Services and Research Department, APEC Climate Center)
Publication Information
Korean Journal of Remote Sensing / v.34, no.6_1, 2018 , pp. 997-1007 More about this Journal
Abstract
Drought monitoring is the important system for disasters by climate change. To perform this, it is necessary to measure the precipitation based on satellite rainfall estimation. The data developed in this study provides two kinds of satellite data (raw satellite data and bias-corrected satellite data). The spatial resolution of satellite data is 10 km and the temporal resolution is 1 day. South Korea was selected as the target area, and the original satellite data was constructed, and the bias-correction method was validated. The raw satellite data was constructed using TRMM TMPA and GPM IMERG products. The GRA-IDW was selected for bias-correction method. The correlation coefficient of 0.775 between 1998 and 2017 is relatively high, and TRMM TMPA and GPM IMERG 10 km daily rainfall correlation coefficients are 0.776 and 0.753, respectively. The BIAS values were found to overestimate the raw satellite data over observed data. By using the technique developed in this study, it is possible to provide reliable drought monitoring to Korean peninsula watershed. It is also a basic data for overseas projects including the un-gaged regions. It is expected that reliable gridded data for end users of drought management.
Keywords
Satellite rainfall estimation; GPM IMERG; TRMM TMPA; bias-correction;
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Times Cited By KSCI : 2  (Citation Analysis)
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