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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Sun, H., Su, F., He, Z., Ou, T., Chen, D., Li, Z. and Li, Y.
Title
Hydrological evaluation of high-resolution precipitation estimates from the WRF model in the Third Pole River Basins
Year
2021
Publication Outlet
Journal of Hydrometeorology, vol. 22, 2055-2071
DOI
https://doi.org/10.1175/JHM-D-20-0272.1
Citation
Sun, H., Su, F., He, Z., Ou, T., Chen, D., Li, Z. and Li, Y.: Hydrological evaluation of high-resolution precipitation estimates from the WRF model in the Third Pole River Basins. Journal of Hydrometeorology, vol. 22, 2055-2071, 2021
Abstract
In this study, two sets of precipitation estimates that are based on the regional Weather Research and Forecasting (WRF) Model—the high Asia refined analysis (HAR) and outputs with a 9-km resolution from WRF (WRF-9km)—are evaluated at both basin and point scales, and their potential hydrological utilities are investigated by driving the Variable Infiltration Capacity (VIC) large-scale land surface hydrological model in seven Third Pole (TP) basins. The regional climate model (RCM) tends to overestimate the gauge-based estimates by 20%–95% in annual means among the selected basins. Relative to the gauge observations, the RCM precipitation estimates can accurately detect daily precipitation events of varying intensities (with absolute bias < 3 mm). The WRF-9km exhibits a high potential for hydrological application in the monsoon-dominated basins in the southeastern TP (with NSE of 0.7–0.9 and bias from −11% to 3%), whereas the HAR performs well in the upper Indus and upper Brahmaputra basins (with NSE of 0.6 and bias from −15% to −9%). Both of the RCM precipitation estimates can accurately capture the magnitudes of low and moderate daily streamflow but show limited capabilities in flood prediction in most of the TP basins. This study provides a comprehensive evaluation of the strength and limitation of RCMs precipitation in hydrological modeling in the TP with complex terrains and sparse gauge observations.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-CPE: Climate-Related Precipitation Extremes
Publication Stage
Published
Additional Information
Climate-Precipitation-Extremes, Refereed Publications
Download Links
https://doi.org/10.1175/JHM-D-20-0272.1
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