Articles | Volume 26, issue 3
https://doi.org/10.5194/hess-26-647-2022
© Author(s) 2022. 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-26-647-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Education and communication
| 
09 Feb 2022
Education and communication |
| 09 Feb 2022
| 09 Feb 2022
A hydrologist's guide to open science
The Honors College and Biosystems Engineering Department, University of Arizona, Tucson, AZ, USA
Sheila M. Saia
State Climate Office of North Carolina, North Carolina State University, Raleigh, NC, USA
Andrea L. Popp
Department of Geosciences, University of Oslo, Oslo, Norway
Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Nilay Dogulu
Independent researcher, Ankara, Turkey
Stanislaus J. Schymanski
Catchment and Eco-hydrology research group (CAT), Department of Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Niels Drost
Netherlands eScience Center, Amsterdam, the Netherlands
Tim van Emmerik
Hydrology & Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
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Total article views: 4,657 (including HTML, PDF, and XML)
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Cited
28 citations as recorded by crossref.
- The critical need to foster computational reproducibility R. Reinecke et al. 10.1088/1748-9326/ac5cf8
- A globally applicable framework for compound flood hazard modeling D. Eilander et al. 10.5194/nhess-23-823-2023
- Does academic research have practical relevance? A question of translating hydrology research into practice P. Rokaya & A. Pietroniro 10.1002/hyp.14717
- Taxonomy of purposes, methods, and recommendations for vulnerability analysis N. Bonham et al. 10.1016/j.envsoft.2024.106269
- The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. 10.5194/gmd-15-5371-2022
- ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model B. Abdollahi et al. 10.3390/w14121950
- HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
- 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
- Integrated catchment models for policy development and decision making R. Vervoort et al. 10.31285/AGRO.27.1194
- Implementing Citizen Science within Open Science: Identifying Extra-Academic Skills, Collaborations, Rewards and Recognitions in the Context of a University J. Bogert et al. 10.59490/66045b435faa6aa6157634c3
- Where should hydrology go? An early-career perspective on the next IAHS Scientific Decade: 2023–2032 T. van Hateren et al. 10.1080/02626667.2023.2170754
- Assessing Hydrology, Biogeochemistry, and Organic Micropollutants in an Urban Stream‐Aquifer System: An Interdisciplinary Data Set A. Popp et al. 10.1029/2023JG007827
- Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes 10.1016/j.jhydrol.2023.129177
- HydroMT: Automated and reproducible model building and analysis D. Eilander et al. 10.21105/joss.04897
- Governing Open Science C. Cudennec et al. 10.1080/02626667.2022.2086462
- 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
- Hydrological digital twin model of a large anthropized italian alpine catchment: The Adige river basin M. Morlot et al. 10.1016/j.jhydrol.2023.130587
- airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. 10.5194/hess-27-3293-2023
- How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling H. Haas et al. 10.1016/j.envsoft.2023.105935
- Editorial – Operational, epistemic and ethical value chaining of hydrological data to knowledge and services: a watershed moment C. Cudennec et al. 10.1080/02626667.2022.2150380
- Water science must be Open Science E. Schymanski & S. Schymanski 10.1038/s44221-022-00014-z
- Automating physics-based models to estimate thermoelectric-power water use M. Harris et al. 10.1016/j.envsoft.2024.106265
- Lifelines for a drowning science ‐ improving findability and synthesis of hydrologic publications L. Stein et al. 10.1002/hyp.14742
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
- RoGeR v3.0.5 – a process-based hydrological toolbox model in Python R. Schwemmle et al. 10.5194/gmd-17-5249-2024
- A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting G. Papacharalampous & H. Tyralis 10.3389/frwa.2022.961954
- Uptake by end-users of a PUB approach made available as a Web Service T. Loree et al. 10.5194/piahs-385-85-2024
- The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics C. Giraldo et al. 10.1016/j.softx.2024.101916
28 citations as recorded by crossref.
- The critical need to foster computational reproducibility R. Reinecke et al. 10.1088/1748-9326/ac5cf8
- A globally applicable framework for compound flood hazard modeling D. Eilander et al. 10.5194/nhess-23-823-2023
- Does academic research have practical relevance? A question of translating hydrology research into practice P. Rokaya & A. Pietroniro 10.1002/hyp.14717
- Taxonomy of purposes, methods, and recommendations for vulnerability analysis N. Bonham et al. 10.1016/j.envsoft.2024.106269
- The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. 10.5194/gmd-15-5371-2022
- ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model B. Abdollahi et al. 10.3390/w14121950
- HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
- 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
- Integrated catchment models for policy development and decision making R. Vervoort et al. 10.31285/AGRO.27.1194
- Implementing Citizen Science within Open Science: Identifying Extra-Academic Skills, Collaborations, Rewards and Recognitions in the Context of a University J. Bogert et al. 10.59490/66045b435faa6aa6157634c3
- Where should hydrology go? An early-career perspective on the next IAHS Scientific Decade: 2023–2032 T. van Hateren et al. 10.1080/02626667.2023.2170754
- Assessing Hydrology, Biogeochemistry, and Organic Micropollutants in an Urban Stream‐Aquifer System: An Interdisciplinary Data Set A. Popp et al. 10.1029/2023JG007827
- Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes 10.1016/j.jhydrol.2023.129177
- HydroMT: Automated and reproducible model building and analysis D. Eilander et al. 10.21105/joss.04897
- Governing Open Science C. Cudennec et al. 10.1080/02626667.2022.2086462
- 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
- Hydrological digital twin model of a large anthropized italian alpine catchment: The Adige river basin M. Morlot et al. 10.1016/j.jhydrol.2023.130587
- airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. 10.5194/hess-27-3293-2023
- How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling H. Haas et al. 10.1016/j.envsoft.2023.105935
- Editorial – Operational, epistemic and ethical value chaining of hydrological data to knowledge and services: a watershed moment C. Cudennec et al. 10.1080/02626667.2022.2150380
- Water science must be Open Science E. Schymanski & S. Schymanski 10.1038/s44221-022-00014-z
- Automating physics-based models to estimate thermoelectric-power water use M. Harris et al. 10.1016/j.envsoft.2024.106265
- Lifelines for a drowning science ‐ improving findability and synthesis of hydrologic publications L. Stein et al. 10.1002/hyp.14742
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
- RoGeR v3.0.5 – a process-based hydrological toolbox model in Python R. Schwemmle et al. 10.5194/gmd-17-5249-2024
- A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting G. Papacharalampous & H. Tyralis 10.3389/frwa.2022.961954
- Uptake by end-users of a PUB approach made available as a Web Service T. Loree et al. 10.5194/piahs-385-85-2024
- The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics C. Giraldo et al. 10.1016/j.softx.2024.101916
Latest update: 23 Nov 2024
Short summary
Impactful open, accessible, reusable, and reproducible hydrologic research practices are being embraced by individuals and the community, but taking the plunge can seem overwhelming. We present the Open Hydrology Principles and Practical Guide to help hydrologists move toward open science, research, and education. We discuss the benefits and how hydrologists can overcome common challenges. We encourage all hydrologists to join the open science community (https://open-hydrology.github.io).
Impactful open, accessible, reusable, and reproducible hydrologic research practices are being...
