airGRteaching: an open-source tool for teaching hydrological modeling with R
-
Published:2023-09-14
Issue:17
Volume:27
Page:3293-3327
-
ISSN:1607-7938
-
Container-title:Hydrology and Earth System Sciences
-
language:en
-
Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Delaigue OlivierORCID, Brigode PierreORCID, Thirel GuillaumeORCID, Coron Laurent
Abstract
Abstract. Hydrological modeling is at the core of most studies related to water, especially for anticipating disasters, managing water resources, and planning adaptation strategies. Consequently, teaching hydrological modeling is an important, but difficult, matter. Teaching hydrological modeling requires appropriate software and teaching material (exercises, projects); however, although many hydrological modeling tools exist today, only a few are adapted to teaching purposes. In this article, we present the airGRteaching package, which is an open-source R package. The hydrological models that can be used in airGRteaching are the GR rainfall-runoff models, i.e., lumped processed-based models, allowing streamflows to be simulated, including the GR4J model. In this package, thanks to a graphical user interface and a limited number of functions, numerous hydrological modeling exercises representing a wide range of hydrological applications are proposed. To ease its use by students and teachers, the package contains several vignettes describing complete projects that can be proposed to investigate various topics such as streamflow reconstruction, hydrological forecasting, and assessment of climate change impact.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference91 articles.
1. 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, https://doi.org/10.5194/hess-21-5293-2017, 2017. a 2. 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 3. AghaKouchak, A., Nakhjiri, N., and Habib, E.: An educational model for ensemble streamflow simulation and uncertainty analysis, Hydrol. Earth Syst. Sci., 17, 445–452, https://doi.org/10.5194/hess-17-445-2013, 2013. a 4. 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, https://doi.org/10.5194/hess-25-3937-2021, 2021. a, b 5. 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, https://doi.org/10.1080/02626667.2014.975708, 2015. a
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|