Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-3937-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3937-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective
Paul C. Astagneau
CORRESPONDING AUTHOR
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Sorbonne Université, Paris, France
Guillaume Thirel
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Olivier Delaigue
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Joseph H. A. Guillaume
Institute for Water Futures and Fenner School of Environment & Society, Australian National University, Canberra, Australia
Juraj Parajka
Institute of Hydraulic and Water Resources Engineering, TU Vienna, Vienna, Austria
Claudia C. Brauer
Hydrology and Quantitative Water Management Group, Wageningen University and Research, Wageningen, the Netherlands
Alberto Viglione
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy
Wouter Buytaert
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Keith J. Beven
Lancaster Environment Centre, Lancaster University, Lancaster, UK
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- The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al. 10.1016/j.envsoft.2022.105562
- Forecasting the daily variability discharge in the fluvial system of the Paraná River: an ODPC hydrology application M. Meis et al. 10.1080/02626667.2022.2121654
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- RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al. 10.5194/gmd-15-7017-2022
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- On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al. 10.5194/hess-25-5805-2021
- A hydrologist's guide to open science C. Hall et al. 10.5194/hess-26-647-2022
- Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al. 10.1016/j.envsoft.2024.106094
- A Generalized Multistep Dynamic (GMD) TOPMODEL S. Goudarzi et al. 10.1029/2022WR032198
- Performance of HEC-HMS and SWAT to simulate streamflow in the sub-humid tropical Hemavathi catchment N. Sanjay Shekar & D. Vinay 10.2166/wcc.2021.072
- Evaluation of Hydrological Rainfall Loss Methods Using Small-Scale Physical Landslide Model N. Bezak et al. 10.3390/w14172726
- Spring Runoff Simulation of Snow-Dominant Catchment in Steppe Regions: A Comparison Study of Lumped Conceptual Models S. Eroshenko et al. 10.3390/inventions9050109
- An open‐source automated workflow to delineate storm events and evaluate concentration‐discharge relationships D. Millar et al. 10.1002/hyp.14456
- Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. 10.1002/hyp.14676
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Latest update: 23 Nov 2024
Short summary
The R programming language has become an important tool for many applications in hydrology. In this study, we provide an analysis of some of the R tools providing hydrological models. In total, two aspects are uniformly investigated, namely the conceptualisation of the models and the practicality of their implementation for end-users. These comparisons aim at easing the choice of R tools for users and at improving their usability for hydrology modelling to support more transferable research.
The R programming language has become an important tool for many applications in hydrology. In...