CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS
Jul 28, 2025·
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Vinh Ngoc Tran
Donghui Xu
Tam Van Nguyen
Taeho Kim
Valeriy Y. Ivanov
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