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
| 
08 Jul 2021
Technical note |
| 08 Jul 2021
| 08 Jul 2021
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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- Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments P. Garambois et al. https://doi.org/10.1016/j.ejrh.2025.102485
31 citations as recorded by crossref.
- Hydro-geodetic approach for predicting river runoff in ungauged basins using gravity and altimetry satellite data F. Touati et al. https://doi.org/10.1080/02626667.2025.2458541
- Forecasting the daily variability discharge in the fluvial system of the Paraná River: an ODPC hydrology application M. Meis et al. https://doi.org/10.1080/02626667.2022.2121654
- Development of a One-Parameter New Exponential (ONE) Model for Simulating Rainfall-Runoff and Comparison with Data-Driven LSTM Model J. Lee & J. Noh https://doi.org/10.3390/w15061036
- Methodology for the study of the traceability of runoff water feeding reservoirs L. Ortega et al. https://doi.org/10.2166/hydro.2023.092
- The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites R. Tong et al. https://doi.org/10.5194/hess-26-1779-2022
- Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya M. Wanzala et al. https://doi.org/10.1111/jfr3.12846
- A commentary on strategic community-led directions for water quality modelling in Australia and New Zealand D. Guo et al. https://doi.org/10.1016/j.jhydrol.2025.132978
- Multiple machine learning methods for runoff prediction: contrast and improvement Y. Chen et al. https://doi.org/10.1007/s12665-025-12332-y
- An LSTM network for joint modeling of streamflow and hydropower generation for run-of-river plants T. Roksvåg et al. https://doi.org/10.1016/j.jhydrol.2025.134890
- A python framework for differentiable hydrological modeling and research workflow automation W. Ouyang et al. https://doi.org/10.1016/j.envsoft.2026.106895
- On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al. https://doi.org/10.5194/hess-25-5805-2021
- Understanding the flood seasonality in a Himalayan River Basin under changing climate P. Singhal et al. https://doi.org/10.1007/s00704-025-05585-x
- A Generalized Multistep Dynamic (GMD) TOPMODEL S. Goudarzi et al. https://doi.org/10.1029/2022WR032198
- How well do hydrological models simulate streamflow extremes and drought-to-flood transitions? E. Muñoz-Castro et al. https://doi.org/10.5194/hess-30-825-2026
- A comparative assessment of cluster-based regionalization approaches using conceptual rainfall–runoff models J. Ougahi & J. Rowan https://doi.org/10.1038/s41598-026-49424-z
- Spring Runoff Simulation of Snow-Dominant Catchment in Steppe Regions: A Comparison Study of Lumped Conceptual Models S. Eroshenko et al. https://doi.org/10.3390/inventions9050109
- An open‐source automated workflow to delineate storm events and evaluate concentration‐discharge relationships D. Millar et al. https://doi.org/10.1002/hyp.14456
- PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia R. Aguayo et al. https://doi.org/10.1038/s41597-023-02828-2
- airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. https://doi.org/10.5194/hess-27-3293-2023
- The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al. https://doi.org/10.1016/j.envsoft.2022.105562
- Modelling the human impact on hydrological cycle: The MISDc v3.1 model S. Kalimisetty et al. https://doi.org/10.1016/j.envsoft.2026.107056
- RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al. https://doi.org/10.5194/gmd-15-7017-2022
- Parsimonious streamflow forecasting system based on a dynamical systems approach Z. McEachran et al. https://doi.org/10.1016/j.jhydrol.2024.131776
- Simulating the Runoff of Watersheds in Dry Areas on A Monthly Scale using the SWAT Model (Case Study: Lar Watershed) M. Kiyani Majd et al. https://doi.org/10.61186/jwmr.14.27.135
- An Interactive Platform for Design Hydrograph Estimation in Small and Ungauged Basins: Pilot Implementation in the Lazio Region, Italy S. Grimaldi et al. https://doi.org/10.3390/w17213122
- A hydrologist's guide to open science C. Hall et al. https://doi.org/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. https://doi.org/10.1016/j.envsoft.2024.106094
- Performance of HEC-HMS and SWAT to simulate streamflow in the sub-humid tropical Hemavathi catchment N. Sanjay Shekar & D. Vinay https://doi.org/10.2166/wcc.2021.072
- Evaluation of Hydrological Rainfall Loss Methods Using Small-Scale Physical Landslide Model N. Bezak et al. https://doi.org/10.3390/w14172726
- Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. https://doi.org/10.1002/hyp.14676
- Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments P. Garambois et al. https://doi.org/10.1016/j.ejrh.2025.102485
Saved (final revised paper)
Latest update: 24 Aug 2026
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...
