Articles | Volume 27, issue 17
Education and communication
14 Sep 2023
Education and communication |  | 14 Sep 2023

airGRteaching: an open-source tool for teaching hydrological modeling with R

Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron

Related authors

On the use of streamflow transformations for hydrological model calibration
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
EGUsphere,,, 2023
Short summary
Multi-model approach in a variable spatial framework for streamflow simulation
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
EGUsphere,,, 2023
Short summary
On the visual detection of non-natural records in streamflow time series: challenges and impacts
Laurent Strohmenger, Eric Sauquet, Claire Bernard, Jérémie Bonneau, Flora Branger, Amélie Bresson, Pierre Brigode, Rémy Buzier, Alban de Lavenne, Olivier Delaigue, Alexandre Devers, Guillaume Evin, Maïté Fournier, Shu-Chen Hsu, Sandra Lanini, Thibault Lemaitre-Basset, Claire Magand, Guilherme Mendoza Guimarães, Max Mentha, Simon Munier, Charles Perrin, Tristan Podechard, Léo Rouchy, Malak Sadki, Myriam Soutif-Bellenger, François Tilmant, Yves Tramblay, Anne-Lise Véron, Jean-Philippe Vidal, and Guillaume Thirel
Hydrol. Earth Syst. Sci. Discuss.,,, 2023
Revised manuscript accepted for HESS
Short summary
Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973,,, 2021
Short summary
PREMHYCE: An operational tool for low-flow forecasting
Pierre Nicolle, François Besson, Olivier Delaigue, Pierre Etchevers, Didier François, Matthieu Le Lay, Charles Perrin, Fabienne Rousset, Dominique Thiéry, François Tilmant, Claire Magand, Timothée Leurent, and Élise Jacob
Proc. IAHS, 383, 381–389,,, 2020

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114,,, 2023
Short summary
Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation
Arianna Borriero, Rohini Kumar, Tam V. Nguyen, Jan H. Fleckenstein, and Stefanie R. Lutz
Hydrol. Earth Syst. Sci., 27, 2989–3004,,, 2023
Short summary
Changes in Mediterranean flood processes and seasonality
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987,,, 2023
Short summary
Can the combining of wetlands with reservoir operation reduce the risk of future floods and droughts?
Yanfeng Wu, Jingxuan Sun, Boting Hu, Y. Jun Xu, Alain N. Rousseau, and Guangxin Zhang
Hydrol. Earth Syst. Sci., 27, 2725–2745,,, 2023
Short summary
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado
Peishi Jiang, Pin Shuai, Alexander Sun, Maruti K. Mudunuru, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 27, 2621–2644,,, 2023
Short summary

Cited articles

Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313,, 2017. a
AghaKouchak, A. and Habib, E.: Application of a conceptual hydrologic model in teaching hydrologic processes, Int. J. Eng. Educ., 26, 963–973, 2010. a, b, c
AghaKouchak, A., Nakhjiri, N., and Habib, E.: An educational model for ensemble streamflow simulation and uncertainty analysis, Hydrol. Earth Syst. Sci., 17, 445–452,, 2013. a
Astagneau, P. C., Thirel, G., Delaigue, O., Guillaume, J. H. A., Parajka, J., Brauer, C. C., Viglione, A., Buytaert, W., and Beven, K. J.: Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective, Hydrol. Earth Syst. Sci., 25, 3937–3973,, 2021. a, b
Baahmed, D., Oudin, L., and Errih, M.: Current runoff variations in the Macta catchment (Algeria): is climate the sole factor? [Le facteur climatique est-il la seule cause des modifications actuelles de l'écoulement dans le bassin versant de la Macta (Algérie)?], Hydrolog. Sci. J., 60, 1331–1339,, 2015. a
Short summary
Teaching hydrological modeling is an important, but difficult, matter. It requires appropriate tools and teaching material. In this article, we present the airGRteaching package, which is an open-source software tool relying on widely used hydrological models. This tool proposes an interface and numerous hydrological modeling exercises representing a wide range of hydrological applications. We show how this tool can be applied to simple but real-life cases.