2022
DOI: 10.1080/01431161.2022.2122894
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Towards a novel high-spatial-resolution satellite rainfall product from C-band SAR Sentinel-1 over Central South Korea based on a bottom-up approach

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Cited by 1 publication
(3 citation statements)
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“…This is due to the fact that higher weights were assigned to the most superior product in these regions, the ERA5L runoff product. Especially for the central Republic of Korea, the better performance of the ERA5L runoff also links to the superior performance of the ERA5L rainfall product in this region, which is consistent with the previous finding [31,49]. Moreover, according to the vegetation cover map in Figure 1b, it can be seen that superior performances of the merged product over the Geum River, Seomjin River, and Yeongsan River (in terms of lowest ubRMSE and MBE values) watersheds overlap a vast majority of low vegetation regions.…”
Section: Discussionsupporting
confidence: 91%
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“…This is due to the fact that higher weights were assigned to the most superior product in these regions, the ERA5L runoff product. Especially for the central Republic of Korea, the better performance of the ERA5L runoff also links to the superior performance of the ERA5L rainfall product in this region, which is consistent with the previous finding [31,49]. Moreover, according to the vegetation cover map in Figure 1b, it can be seen that superior performances of the merged product over the Geum River, Seomjin River, and Yeongsan River (in terms of lowest ubRMSE and MBE values) watersheds overlap a vast majority of low vegetation regions.…”
Section: Discussionsupporting
confidence: 91%
“…Another problem is that the TC merging method was preferred at the global scale rather than at the sub-basin level, while the runoff can strongly vary even at a small scale across adjacent sub-basins due to the high spatial heterogeneity of the landscape. In the context of the Republic of Korea where diverse vegetation conditions, complex terrains, and strong seasonal rainfall differences between rainy (wet) and non-rainy (dry) seasons under the summer monsoon's (Changma) effects [31] may lead to high uncertainties in runoff behavior, focusing on improving seasonal runoff estimates at the sub-basin level with more detailed spatial information derived from global products is necessary [32][33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%
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