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.
Citation Information
| 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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John C. Hammond, PhD
Research Hydrologist
Research Hydrologist
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Roy Sando
Supervisory Research Physical Scientist
Supervisory Research Physical Scientist
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Jacob Zwart, PhD
Senior Data Scientist
Senior Data Scientist
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John C. Hammond, PhD
Research Hydrologist
Research Hydrologist
Email
Phone
Roy Sando
Supervisory Research Physical Scientist
Supervisory Research Physical Scientist
Email
Phone
Jacob Zwart, PhD
Senior Data Scientist
Senior Data Scientist
Email