Publications by authors named "Shanmin Fang"
Article Synopsis
- The study addresses issues with existing curve number (CN) datasets, which are limited by a universal-applicability hypothesis, resolution, and a mismatch with land use/land cover maps, affecting their accuracy in hydrological estimations.
- A new annual CN dataset called CUSCN30 was created with a 30-meter resolution that incorporates changes in climate and land use from 2008 to 2021 in the continental U.S., showing improved performance in surface runoff estimations compared to observed data.
- CUSCN30 outperforms existing datasets in predicting runoff during both normal and extreme rainfall events, and its high resolution allows for better representation of watershed variability, making it useful for hydrological models and simulations.
