GR4J rainfall runoff model implemented in Python
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Updated
Jan 24, 2020 - Python
GR4J rainfall runoff model implemented in Python
Python implementation of Tank Hydrological model by Sugawara and Funiyuki (1956)
Python implementation of the GR2M monthly rainfall runoff model
Semi-distributed Rainfall-Runoff model, using Graph Neural Networks to model an entire watershed with around 500 catchments
The tools calculates peak discharge flow of water using the required inputs. The inputs can be given as text inputs or a excel file with the rainfall intensity attached can also be uploaded.
This repository contains supporting code for the paper "Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo" by Mingo et al.
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