2023
DOI: 10.5194/hess-2022-421
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airGRteaching: an open-source tool for teaching hydrological modeling with R

Abstract: Abstract. Hydrological modelling 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 few are adapted to teaching purposes. In this article, we present the ai… Show more

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“…Split-sample tests, i.e., calibrating and evaluating a model on non-overlapping periods (Klemeš, 1986), is key for the assessment of model transferability in time, since in practice models are used outside their calibration conditions. Split-sample tests can be performed for model calibra- tion and evaluation using both CalGR() and SimGR() airGRteaching functions, respectively (see command lines in Appendix Listing D10).…”
Section: Model Evaluation and Robustnessmentioning
confidence: 99%
“…Split-sample tests, i.e., calibrating and evaluating a model on non-overlapping periods (Klemeš, 1986), is key for the assessment of model transferability in time, since in practice models are used outside their calibration conditions. Split-sample tests can be performed for model calibra- tion and evaluation using both CalGR() and SimGR() airGRteaching functions, respectively (see command lines in Appendix Listing D10).…”
Section: Model Evaluation and Robustnessmentioning
confidence: 99%