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A hybrid approach for revealing headwater hydrology

August 5, 2026

Coordinated work to compile existing data and apply models pairing physical understanding with machine learning could substantially improve streamflow predictions for little-known headwater basins.

Publication Year 2026
Title A hybrid approach for revealing headwater hydrology
DOI 10.1029/2026EO260248
Authors John C. Hammond, Jay R. Christensen, Kristin Jaeger, Roy Sando, Jacob Aaron Zwart
Publication Type Article
Publication Subtype Journal Article
Series Title Eos, American Geophysical Union
Index ID 70278928
Record Source USGS Publications Warehouse
USGS Organization Maryland-Delaware-District of Columbia Water Science Center
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