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In airGRteaching: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)

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To obtain help regarding the use of the airGRteaching or airGR packages, or to suggest modifications, send an email to [e-mail]

airGRteaching is a package developed in the language devoted to the use of the GR rainfall-runoff models and the CemaNeige snowmelt and accumulation model by students and teachers. airGRteaching is an add-on package of the airGR hydrological package. It simplifies the use of the airGR functionalities as it only requires a basic level of programming. The GR hydrological models in a few words:

• lumped conceptual rainfall-runoff models (GR1A, GR2M, GR4J, GR5J, GR6J, GR4H and GR5H)
• designed with the objective to be as efficient as possible for flow simulation at various time steps (from annual to hourly)
• their structures were developed to have warranted complexity and limited data requirements
• can be applied on a wide range of conditions, including snowy catchments (thanks to the CemaNeige snow model)

airGRteaching features

• Only three simple functions for a full modelling exercise:
  • data preparation
  • model calibration
  • model simulation
• Pre-defined graphical plots:
  • static plotting functions
  • mouse events and interactive graphics (using the dygraphs JavaScript charting library)
• Graphical user interface based on Shiny:
  • interactive flow simulation and plotting with parameters modifications
  • automatic calibration button
  • internal variables evolution graphs
  • time period selection
  • only monthly and daily models are currently available (GR2M, GR4J, GR5J, GR6J + CemaNeige)
  • a demonstrator of the graphical interface is available for free online on the Sunshine website

See the "Get started" tab for examples including commands.

airGR features

• Easy implementation on numerous catchments
• Data requirements limited to lumped precip., temp. and streamflow time series
• One automatic calibration procedure
• A set of efficiency criteria
• Limited computation times (use of Fortran routines to run the models)
• Pre-defined graphical plots
• Outputs include simulated flow time series and internal variables
• User can implement its own models, efficiency criteria or optimization algorithms
• Possibility to run semi-distributed versions of the models (use facilitated by the airGRiwrm package)

airGRteaching documentation built on July 26, 2023, 5:50 p.m.