airGRteaching: How an interactive visualization tool can help students evaluate the performance of a hydrological model and understand the role of its parameters - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2019

airGRteaching: How an interactive visualization tool can help students evaluate the performance of a hydrological model and understand the role of its parameters

airGRteaching: Comment un outil de visualisation interactif peut aider les étudiants à évaluer la performance d'un modèle hydrologique et à comprendre le rôle de ses paramètres.

Abstract

Parsimonious and simple lumped rainfall-runoff models are useful tools for research and engineering. From years of experience, the Hydrology Group at Irstea (Antony) developed the GR models suite. Aiming at providing an open source tool, the team started to develop an R package (R Core Team, 2018), named airGR (Coron et al., 2017, 2018), that contains these simulation models (including the GR4J model). The airGR package permits to run six hydrological models dedicated to different time steps (hourly to annual), one snow accumulation and melt model (CemaNeige), one automatic calibration procedure, pre-defined graphical plots and a set of efficiency criteria. It is now possible in airGR to use a composite calibration/evaluation criterion that combines several criteria as a single criterion. The choice of the different criteria and the weight applied to each one can be adjusted according to needs. This possibility can improve the calibration performance of models by considering several objectives. Furthermore, several studies have shown that the use of snow cover area (SCA) observations from satellites, such as MODIS SCA, can improve snow model calibration. The airGR package now proposes an improved version of the semi-distributed CemaNeige degree-day model that better represents the hysteretic relationship between SCA and snow water equivalent (SWE). This modification coupled with the combined calibration of the CemaNeige and GR models on SCA data and on river runoff data significantly improve the simulation of the snow cover area by the model and give more robust calibrated parameters (Riboust et al., 2019). Thanks to its success (about 15,000 downloads so far), the airGR development team carries on its efforts to improve the code, offer new features and improve the documentation. Recently, the development team also released a new package, airGRteaching (Delaigue et al., 2018), which depends on airGR and has expressly been developed for educational purposes, in order to avoid the difficulties that students may have with R programming. The airGRteaching graphical user interface will be demonstrated.

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Dates and versions

hal-02609369 , version 1 (16-05-2020)

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Pierre Brigode, Olivier Delaigue, Guillaume Thirel, Laurent Coron. airGRteaching: How an interactive visualization tool can help students evaluate the performance of a hydrological model and understand the role of its parameters. EGU General Assembly 2019, Apr 2019, Vienna, Austria. pp.6. ⟨hal-02609369⟩
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