Articles | Volume 30, issue 11
https://doi.org/10.5194/hess-30-3647-2026
https://doi.org/10.5194/hess-30-3647-2026
Research article
 | 
16 Jun 2026
Research article |  | 16 Jun 2026

Continental-scale prediction of hydrologic signatures and processes

Ryoko Araki, Anne Holt, John C. Hammond, Admin Husic, Gemma Coxon, and Hilary K. McMillan

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Short summary
We mapped dominant hydrologic processes across the United States by analyzing observed streamflow dynamics. Using random forest models and interpretable machine learning techniques, we predicted processes in data-scarce regions and identified key drivers such as climate, soil and geology, land cover, topography, and human influence. The resulting maps of dominant processes and their drivers reveal strong regional patterns that guide hydrologic model selection and water resource management.
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