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http://dx.doi.org/10.3741/JKWRA.2013.46.11.1129

Analysis of Spatial Precipitation Field Using Downscaling on the Korean Peninsula  

Cho, Herin (Department of Civil and Environmental Engineering, Hanyang University)
Hwang, Seokhwan (Water Resources Research Division, Korea Institute of Construction Technology)
Cho, Yongsik (Department of Civil and Environmental Engineering, Hanyang University)
Choi, Minha (Department of Civil and Environmental Engineering, Hanyang University)
Publication Information
Journal of Korea Water Resources Association / v.46, no.11, 2013 , pp. 1129-1140 More about this Journal
Abstract
Precipitation is one of the important factors in the hydrological cycle. It needs to understand accurate of spatial precipitation field because it has large spatio-temporal variability. Precipitation data obtained through the Tropical Rainfall Monitoring Mission (TRMM) 3B43 product is inaccurate because it has 25 km space scale. Downscaling of TRMM 3B43 product can increase the accuracy of spatial precipitation field from 25 km to 1 km scale. The relationship between precipitation and the normalized difference vegetation index(NDVI) (1 km space scale) which is obtained from the Moderate Resolution Imaging Spectroradiometers (MODIS) sensor loaded in Terra satellite is variable at different scales. Therefore regression equations were established and these equations apply to downscaling. Two renormalization strategies, Geographical Difference Analysis (GDA) and Geographical Ratio Analysis (GRA) are implemented for correcting the differences between remote sensing-derived and rain gauge data. As for considering the GDA method results, biases, the root mean-squared error (RMSE), MAE and Index of agreement (IOA) is equal to 4.26 mm, 172.16 mm, 141.95 mm, 0.64 in 2009 and 17.21 mm, 253.43 mm, 310.56 mm, 0.62 in 2011. In this study, we can see the 1km spatial precipitation field map over Korea. It will be possible to get more accurate spatial analysis of the precipitation field through using the additional rain gauges or radar data.
Keywords
TRMM; NDVI; Spatial Precipitation Field; Downscaling;
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Times Cited By KSCI : 5  (Citation Analysis)
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