Litcius/Paper detail

Augmenting geophysical interpretation of data-driven operational water supply forecast modeling for a western US river using a hybrid machine learning approach

Sean W. Fleming, Velimir V. Vesselinov, Angus G. Goodbody

2021Journal of Hydrology46 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceArtificial neural networkCluster analysisWater resourcesSurface runoffHydrographMeteorologyMachine learningEnvironmental scienceData miningGeographyBiologyEcologyHydrology and Watershed Management StudiesHydrological Forecasting Using AIClimate variability and models
Augmenting geophysical interpretation of data-driven operational water supply forecast modeling for a western US river using a hybrid machine learning approach | Litcius