Litcius/Paper detail

The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset

Georgy Ayzel, Maik Heistermann

2021Computers & Geosciences110 citationsDOI

Topics & Concepts

CalibrationSurface runoffArtificial neural networkComputer scienceEnvironmental scienceArtificial intelligenceHydrology (agriculture)Machine learningGeologyStatisticsMathematicsEcologyGeotechnical engineeringBiologyHydrology and Watershed Management StudiesHydrological Forecasting Using AIFlood Risk Assessment and Management