Showing 4 of total 4 results (show query)
inrae
airGRiwrm:'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modeling based on 'airGR' package models integrating human infrastructures and their managements.
Maintained by David Dorchies. Last updated 6 months ago.
6.31 score 45 scripts
cran
airGRteaching:Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Maintained by Olivier Delaigue. Last updated 3 days ago.
6 stars 4.86 score
gwrecharge
rechaRge:HydroBudget – Groundwater Recharge Model
HydroBudget is a spatially distributed groundwater recharge model that computes a superficial water budget on grid cells with outputs aggregated into monthly time steps. It was developed as an accessible and computationally affordable model to simulate groundwater recharge over large areas (thousands of km2, regional-scale watersheds) and for long time periods (decades), in cold and humid climates. Model algorithms are based on the research of Dubois, E. et al. (2021a) <doi:10.5683/SP3/EUDV3H> and Dubois, E. et al. (2021b) <doi:10.5194/hess-25-6567-2021>.
Maintained by Yannick Marcon. Last updated 20 days ago.
6 stars 4.48 score 5 scriptscran
airGRdatassim:Ensemble-Based Data Assimilation with GR Hydrological Models
Add-on to the 'airGR' package which provides the tools to assimilate observed discharges in daily GR hydrological models. The package consists in two functions allowing to perform the assimilation of observed discharges via the Ensemble Kalman filter or the Particle filter as described in Piazzi et al. (2021) <doi:10.1029/2020WR028390>.
Maintained by Olivier Delaigue. Last updated 4 years ago.
2 stars 3.00 score