Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. To address this gap, we apply machine learning (ML) models to forecast streamflow drought 1-13 weeks into the future at > 3,000 streamgage locations across the conterminous United States (CONUS). We applied two...
Authors
John C. Hammond, Phillip J. Goodling, Jeremy Alejandro Diaz, Hayley R. Corson-Dosch, Aaron Joseph Heldmyer, Scott Douglas Hamshaw, Ryan R. McShane, Jesse Cleveland Ross, Roy Sando, Caelan Simeone, Erik Smith, Leah Ellen Staub, David Watkins, Michael Wieczorek, Kendall C. Wnuk, Jacob Aaron Zwart