Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models

GR4J rainfall runoff model implemented in Python

Hydrological Model Assessment and Development

NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc). The package assumes that users have already set up a registration account(s) with Earthdata login as well as authorizing NASA GESDISC data access. Ple…

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

Python implementation of the TUWmodel developed by Parajka et al. (2007)

hydrological models

River flow prediction based on rainfall-flow model and Kalman Filter

The purpose of this project is to investigate whether we can establish the effectiveness of natural flood management (NFM) interventions undertaken in the British town of Shipston-on-Stour during 2017 to 2020 from publicly available meteorological data and private data from the river gauge in Shipston.

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.

Repository for the perceptual model database and interactive map

This project explores the application of soil moisture signature (Branger et al., 2019; Araki et al., 2020) to enhance streamflow and soil moisture prediction in a rainfall-runoff model.

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.

Completed for the "Laboratory of Computational Physics Mod. B" under the supervision of Professor Carlo Albert. The project utilizes Keras in TensorFlow for implementation.