Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models
Moges B. Wagena, D. Goering, Amy S. Collick, Emily Bock, Daniel R. Fuka, Anthony R. Buda, Zachary M. Easton
Topics & Concepts
StreamflowQuantitative precipitation forecastArtificial neural networkFlood forecastingBayesian probabilityPrecipitationAutoregressive modelEnvironmental scienceEnsemble forecastingTerm (time)Soil and Water Assessment ToolComputer scienceMeteorologyEconometricsMathematicsMachine learningArtificial intelligenceDrainage basinGeographyQuantum mechanicsPhysicsCartographyHydrological Forecasting Using AIHydrology and Watershed Management StudiesFlood Risk Assessment and Management