Results 131 to 134 of about 215 (134)

The utilization of a GR4J model and wavelet-based artificial neural network for rainfall–runoff modelling

Water Science and Technology: Water Supply, 2019
exaly  

GRHyMoLAP: A process-driven ODE catchment hydrology model inspired by GR4J and HyMoLAP approaches

Journal of Hydrology
Sianou Ezéckiel Houénafa, Melissa Latella, Lionel Cédric Gohouede, Cenk Sezen   +3 more
openaire   +1 more source

Performance evaluation of ML techniques in hydrologic studies: Comparing streamflow simulated by SWAT, GR4J, and state-of-the-art ML-based models

Journal of Earth System Science
Meenu Ramadas, Siddik Ahmed Barbhuiya
exaly  

QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification

Journal of Hydrology
Rohitash Chandra, Arpit Kapoor
exaly