Ontology highlight
ABSTRACT:
SUBMITTER: Wu Q
PROVIDER: S-EPMC10869687 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
Wu Qiong Q Ramirez Avila John J JJ Yang Jia J Ji Cunxiong C Fang Shanmin S
Scientific data 20240215 1
The spatial distribution and data quality of curve number (CN) values determine the performance of hydrological estimations. However, existing CN datasets are constrained by universal-applicability hypothesis, medium resolution, and imbalance between specificity CN tables to generalized land use/land cover (LULC) maps, which hinder their applicability and predictive accuracy. A new annual CN dataset named CUSCN30, featuring an enhanced resolution of 30 meters and accounting for temporal variatio ...[more]