rainfall-runoff-model

There are 16 repositories under rainfall-runoff-model topic.

  • wknoben/MARRMoT

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

    Language:MATLAB11092054

  • amacd31/gr4j

    GR4J rainfall runoff model implemented in Python

    Language:Python373315

  • hydromad/hydromad

    Hydrological Model Assessment and Development

    Language:R34913320

  • imohamme/NASAaccess

    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. Please refer to https://disc.gsfc.nasa.gov/data-access for further details. The package relies on 'curl' (https://curl.haxx.se/) commands and library to access and download data from NASA remote sensing servers. Since Mac users have curl as part of macOS, Windows users should make sure that their local machines have 'curl' installed properly. Creating the ".netrc" file at the user machine 'Home' directory and storing the user NASA GESDISC logging information in it is needed to execute the package commands. Instructions on creating the ".netrc" and ".urs_cookies" files can be accessed at https://wiki.earthdata.nasa.gov/display/EL/How+To+Access+Data+With+cURL+And+Wget.

    Language:R16102
  • tank-model

    nzahasan/tank-model

    Python implementation of Tank Hydrological model by Sugawara and Funiyuki (1956)

    Language:Python122137

  • amacd31/gr2m

    Python implementation of the GR2M monthly rainfall runoff model

    Language:Python8201

  • ascarrambad/swain-rainfallrunoff

    Semi-distributed Rainfall-Runoff model, using Graph Neural Networks to model an entire watershed with around 500 catchments

    Language:Python5302

  • chrimerss/HydrologicModels

    hydrological models

    Language:Fortran3001

  • raoulcollenteur/tuwmodel

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

    Language:Fortran3200

  • gobelc/riverflow-predict

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

    Language:MATLAB2100

  • ai4er-cdt/flood_risk_shipston

    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.

    Language:HTML17200

  • DamingoNdiwa/hydrological-model-selection-bayes

    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.

    Language:Python0300

  • RY4GIT/perceptual-models

    Repository for the perceptual model database and interactive map

    Language:Jupyter Notebook0100

  • Koda7/Peak-Discharge-Calculator

    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.

    Language:Python10

  • RY4GIT/SMSigxModel

    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.

    Language:Jupyter Notebook131

  • zoppellarielena/Rainfall-runoff-modeling-using-Deep-Learning

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

    Language:Jupyter Notebook10