CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS

Jul 28, 2025·
Vinh Ngoc Tran
Donghui Xu
Donghui Xu
,
Tam Van Nguyen
,
Taeho Kim
,
Valeriy Y. Ivanov
· 0 min read
Abstract
CAMELSH provides a large-sample hourly hydrometeorological dataset and watershed attributes at watershed-scale for the contiguous United States (CONUS), extending the CAMELS dataset to hourly temporal resolution with additional meteorological forcing variables. The dataset supports machine learning and large-sample hydrology research for streamflow prediction, flood forecasting, and hydrological modeling across diverse watersheds.
Type
Publication
Scientific Data