Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-2939-2019
© Author(s) 2019. 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-23-2939-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
12 Jul 2019
Review article |
| 12 Jul 2019
| 12 Jul 2019
Using R in hydrology: a review of recent developments and future directions
Louise J. Slater
CORRESPONDING AUTHOR
School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK
Guillaume Thirel
HYCAR Research Unit, IRSTEA, 1 Rue Pierre-Gilles de Gennes, 92160 Antony, France
Shaun Harrigan
Forecast Department, European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, UK
Olivier Delaigue
HYCAR Research Unit, IRSTEA, 1 Rue Pierre-Gilles de Gennes, 92160 Antony, France
Alexander Hurley
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
Abdou Khouakhi
School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, LE11 3TU, UK
Ilaria Prosdocimi
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, 30172 Venice, Italy
Claudia Vitolo
Forecast Department, European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, UK
Katie Smith
Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
Viewed
Total article views: 25,557 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Feb 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 15,177 | 10,202 | 178 | 25,557 | 874 | 167 | 180 |
- HTML: 15,177
- PDF: 10,202
- XML: 178
- Total: 25,557
- Supplement: 874
- BibTeX: 167
- EndNote: 180
Total article views: 18,838 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jul 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 11,723 | 6,963 | 152 | 18,838 | 510 | 149 | 151 |
- HTML: 11,723
- PDF: 6,963
- XML: 152
- Total: 18,838
- Supplement: 510
- BibTeX: 149
- EndNote: 151
Total article views: 6,719 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Feb 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,454 | 3,239 | 26 | 6,719 | 364 | 18 | 29 |
- HTML: 3,454
- PDF: 3,239
- XML: 26
- Total: 6,719
- Supplement: 364
- BibTeX: 18
- EndNote: 29
Viewed (geographical distribution)
Total article views: 25,557 (including HTML, PDF, and XML)
Thereof 21,613 with geography defined
and 3,944 with unknown origin.
Total article views: 18,838 (including HTML, PDF, and XML)
Thereof 15,992 with geography defined
and 2,846 with unknown origin.
Total article views: 6,719 (including HTML, PDF, and XML)
Thereof 5,621 with geography defined
and 1,098 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
50 citations as recorded by crossref.
- Introductory overview: Recommendations for approaching scientific visualization with large environmental datasets C. Kelleher & A. Braswell 10.1016/j.envsoft.2021.105113
- Affinity propagation approach for catchment classification applied to arid catchments A. Hidayatulloh et al. 10.1016/j.jafrearsci.2021.104374
- Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R P. Schmidt-Walter et al. 10.1016/j.agrformet.2020.108023
- Tool-Driven Revolutions in Archaeological Science S. Schmidt & B. Marwick 10.5334/jcaa.29
- Green infrastructure: The future of urban flood risk management? D. Green et al. 10.1002/wat2.1560
- A Technical Note on the Application of a Water Budget Model at Regional Scale: A Water Manager’s Approach towards a Sustainable Water Resources Management S. Passaretti et al. 10.3390/w14050712
- 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
- An open web‐based module developed to advance data‐driven hydrologic process learning B. Lane et al. 10.1002/hyp.14273
- An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool T. Nguyen et al. 10.1016/j.envsoft.2022.105497
- How you teach changes who you reach: understanding the effect of teaching modality on engagement, interest, and learning in hydrology C. Georgakakos & J. Knighton 10.1080/03098265.2024.2316704
- Open-Source Data Alternatives and Models for Flood Risk Management in Nepal S. Thakuri et al. 10.3390/rs14225660
- An innovative approach for predicting groundwater TDS using optimized ensemble machine learning algorithms at two levels of modeling strategy H. Elzain et al. 10.1016/j.jenvman.2023.119896
- Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker Y. Li 10.1016/j.envsoft.2020.104797
- A hydrologist's guide to open science C. Hall et al. 10.5194/hess-26-647-2022
- 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
- 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
- airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. 10.5194/hess-27-3293-2023
- SanAntonioApp R. Navas et al. 10.31285/AGRO.26.979
- Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces Y. Choi et al. 10.1016/j.envsoft.2020.104888
- A Near Real-Time Hydrological Information System for the Upper Danube Basin T. Pulka et al. 10.3390/hydrology8040144
- anem: A Simple Web‐Based Platform to Build Stakeholder Understanding of Groundwater Behavior G. Penny et al. 10.1111/gwat.13043
- Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach M. Hollaway et al. 10.1016/j.envsoft.2021.104993
- Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al. 10.5194/hess-25-3937-2021
- The importance of open science for biological assessment of aquatic environments M. Beck et al. 10.7717/peerj.9539
- An open‐source automated workflow to delineate storm events and evaluate concentration‐discharge relationships D. Millar et al. 10.1002/hyp.14456
- Machine learning approach towards explaining water quality dynamics in an urbanised river B. Schäfer et al. 10.1038/s41598-022-16342-9
- pRecipe: A global precipitation climatology toolbox and database M. Vargas Godoy & Y. Markonis 10.1016/j.envsoft.2023.105711
- M-LASH: Hydrological and computational enhancements of the LASH model M. Vargas et al. 10.1016/j.envsoft.2023.105774
- Hydro Explorer: An interactive web app to investigate changes in runoff timing and runoff seasonality all over the world E. Rottler et al. 10.1002/rra.3772
- Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al. 10.1029/2021WR031753
- Remotely sensed rivers in the Anthropocene: state of the art and prospects H. Piégay et al. 10.1002/esp.4787
- Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al. 10.3390/w12072037
- On constraining a lumped hydrological model with both piezometry and streamflow: results of a large sample evaluation A. Pelletier & V. Andréassian 10.5194/hess-26-2733-2022
- Assessment of flooding in future periods using the flow of the watershed (Case study: west and south of the Urmia watershed) M. Jahangir et al. 10.1016/j.nhres.2023.04.004
- 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. 10.61186/jwmr.14.27.135
- An R package of maximum entropy production model to estimate 41 years of global evapotranspiration Y. Yang et al. 10.1016/j.jhydrol.2022.128639
- Correlations between water quality and precipitation in areas with different levels of human occupation L. Rodrigues et al. 10.1007/s42108-020-00097-y
- riversCentralAsia: An R package to support data pre- and postprocessing for hydrological modelling with RS MINERVE B. Marti & T. Siegfried 10.21105/joss.04805
- Multi-objective calibration by combination of stochastic and gradient-like parameter generation rules – the caRamel algorithm C. Monteil et al. 10.5194/hess-24-3189-2020
- Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling N. Shrestha et al. 10.1016/j.jglr.2020.10.009
- Rainfall-runoff modeling using airGR and airGRteaching: application to a catchment in Northeast Algeria S. Yahiaoui et al. 10.1007/s40808-022-01444-0
- Hydrostreamer v1.0 – improved streamflow predictions for local applications from an ensemble of downscaled global runoff products M. Kallio et al. 10.5194/gmd-14-5155-2021
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- Farm simulation platforms increase undergraduate skills and confidence in decision‐support technologies A. Basche et al. 10.1002/nse2.20058
- Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
- EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions T. Hallouin et al. 10.5194/gmd-17-4561-2024
- Introduction to Reproducible Geospatial Analysis and Figures in R: A Tutorial Article P. Maesen & E. Salingros 10.3390/data9040058
- Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering R. Muñoz-Carpena et al. 10.1371/journal.pwat.0000059
- RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al. 10.5194/gmd-15-7017-2022
- Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
49 citations as recorded by crossref.
- Introductory overview: Recommendations for approaching scientific visualization with large environmental datasets C. Kelleher & A. Braswell 10.1016/j.envsoft.2021.105113
- Affinity propagation approach for catchment classification applied to arid catchments A. Hidayatulloh et al. 10.1016/j.jafrearsci.2021.104374
- Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R P. Schmidt-Walter et al. 10.1016/j.agrformet.2020.108023
- Tool-Driven Revolutions in Archaeological Science S. Schmidt & B. Marwick 10.5334/jcaa.29
- Green infrastructure: The future of urban flood risk management? D. Green et al. 10.1002/wat2.1560
- A Technical Note on the Application of a Water Budget Model at Regional Scale: A Water Manager’s Approach towards a Sustainable Water Resources Management S. Passaretti et al. 10.3390/w14050712
- 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
- An open web‐based module developed to advance data‐driven hydrologic process learning B. Lane et al. 10.1002/hyp.14273
- An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool T. Nguyen et al. 10.1016/j.envsoft.2022.105497
- How you teach changes who you reach: understanding the effect of teaching modality on engagement, interest, and learning in hydrology C. Georgakakos & J. Knighton 10.1080/03098265.2024.2316704
- Open-Source Data Alternatives and Models for Flood Risk Management in Nepal S. Thakuri et al. 10.3390/rs14225660
- An innovative approach for predicting groundwater TDS using optimized ensemble machine learning algorithms at two levels of modeling strategy H. Elzain et al. 10.1016/j.jenvman.2023.119896
- Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker Y. Li 10.1016/j.envsoft.2020.104797
- A hydrologist's guide to open science C. Hall et al. 10.5194/hess-26-647-2022
- 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
- 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
- airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. 10.5194/hess-27-3293-2023
- SanAntonioApp R. Navas et al. 10.31285/AGRO.26.979
- Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces Y. Choi et al. 10.1016/j.envsoft.2020.104888
- A Near Real-Time Hydrological Information System for the Upper Danube Basin T. Pulka et al. 10.3390/hydrology8040144
- anem: A Simple Web‐Based Platform to Build Stakeholder Understanding of Groundwater Behavior G. Penny et al. 10.1111/gwat.13043
- Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach M. Hollaway et al. 10.1016/j.envsoft.2021.104993
- Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al. 10.5194/hess-25-3937-2021
- The importance of open science for biological assessment of aquatic environments M. Beck et al. 10.7717/peerj.9539
- An open‐source automated workflow to delineate storm events and evaluate concentration‐discharge relationships D. Millar et al. 10.1002/hyp.14456
- Machine learning approach towards explaining water quality dynamics in an urbanised river B. Schäfer et al. 10.1038/s41598-022-16342-9
- pRecipe: A global precipitation climatology toolbox and database M. Vargas Godoy & Y. Markonis 10.1016/j.envsoft.2023.105711
- M-LASH: Hydrological and computational enhancements of the LASH model M. Vargas et al. 10.1016/j.envsoft.2023.105774
- Hydro Explorer: An interactive web app to investigate changes in runoff timing and runoff seasonality all over the world E. Rottler et al. 10.1002/rra.3772
- Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al. 10.1029/2021WR031753
- Remotely sensed rivers in the Anthropocene: state of the art and prospects H. Piégay et al. 10.1002/esp.4787
- Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al. 10.3390/w12072037
- On constraining a lumped hydrological model with both piezometry and streamflow: results of a large sample evaluation A. Pelletier & V. Andréassian 10.5194/hess-26-2733-2022
- Assessment of flooding in future periods using the flow of the watershed (Case study: west and south of the Urmia watershed) M. Jahangir et al. 10.1016/j.nhres.2023.04.004
- 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. 10.61186/jwmr.14.27.135
- An R package of maximum entropy production model to estimate 41 years of global evapotranspiration Y. Yang et al. 10.1016/j.jhydrol.2022.128639
- Correlations between water quality and precipitation in areas with different levels of human occupation L. Rodrigues et al. 10.1007/s42108-020-00097-y
- riversCentralAsia: An R package to support data pre- and postprocessing for hydrological modelling with RS MINERVE B. Marti & T. Siegfried 10.21105/joss.04805
- Multi-objective calibration by combination of stochastic and gradient-like parameter generation rules – the caRamel algorithm C. Monteil et al. 10.5194/hess-24-3189-2020
- Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling N. Shrestha et al. 10.1016/j.jglr.2020.10.009
- Rainfall-runoff modeling using airGR and airGRteaching: application to a catchment in Northeast Algeria S. Yahiaoui et al. 10.1007/s40808-022-01444-0
- Hydrostreamer v1.0 – improved streamflow predictions for local applications from an ensemble of downscaled global runoff products M. Kallio et al. 10.5194/gmd-14-5155-2021
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- Farm simulation platforms increase undergraduate skills and confidence in decision‐support technologies A. Basche et al. 10.1002/nse2.20058
- Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
- EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions T. Hallouin et al. 10.5194/gmd-17-4561-2024
- Introduction to Reproducible Geospatial Analysis and Figures in R: A Tutorial Article P. Maesen & E. Salingros 10.3390/data9040058
- Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering R. Muñoz-Carpena et al. 10.1371/journal.pwat.0000059
- RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al. 10.5194/gmd-15-7017-2022
1 citations as recorded by crossref.
Discussed (preprint)
Latest update: 26 Jul 2024
Download
- Article
(2987 KB) - Full-text XML
Short summary
This paper explores the benefits and advantages of R's usage in hydrology. We provide an overview of a typical hydrological workflow based on reproducible principles and packages for retrieval of hydro-meteorological data, spatial analysis, hydrological modelling, statistics, and the design of static and dynamic visualizations and documents. We discuss some of the challenges that arise when using R in hydrology as well as a roadmap for R’s future within the discipline.
This paper explores the benefits and advantages of R's usage in hydrology. We provide an...
