Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-2101-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-2101-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Apr 2015
Research article |
| 30 Apr 2015
Virtual laboratories: new opportunities for collaborative water science
Department DICAM, University of Bologna, Bologna, Italy
B. Arheimer
Hydrology Research Section, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
E. Baratti
Department DICAM, University of Bologna, Bologna, Italy
G. Blöschl
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
R. Capell
Hydrology Research Section, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
A. Castellarin
Department DICAM, University of Bologna, Bologna, Italy
J. Freer
School of Geographical Sciences, University of Bristol, Bristol, UK
D. Han
Department of Civil Engineering, University of Bristol, Bristol, UK
M. Hrachowitz
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
Y. Hundecha
Hydrology Research Section, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
C. Hutton
Department of Civil Engineering, University of Bristol, Bristol, UK
School of Geographical Sciences, University of Bristol, Bristol, UK
G. Lindström
Hydrology Research Section, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
A. Montanari
Department DICAM, University of Bologna, Bologna, Italy
R. Nijzink
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
J. Parajka
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
Department DICAM, University of Bologna, Bologna, Italy
A. Viglione
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
T. Wagener
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
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- Uncertainty contributions to low-flow projections in Austria J. Parajka et al. 10.5194/hess-20-2085-2016
- A three-pillar approach to assessing climate impacts on low flows G. Laaha et al. 10.5194/hess-20-3967-2016
- On the correlation between precipitation and potential evapotranspiration climate change signals for hydrological impact analyses J. De Niel et al. 10.1080/02626667.2019.1587615
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- Ground truthing global-scale model estimates of groundwater recharge across Africa C. West et al. 10.1016/j.scitotenv.2022.159765
- The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility J. Hamman et al. 10.5194/gmd-11-3481-2018
- Evaluation of Hydrological Rainfall Loss Methods Using Small-Scale Physical Landslide Model N. Bezak et al. 10.3390/w14172726
- Comparison of measured and simulated snow cover occurrence using two versions of the TUW hydrological model A. Brziak et al. 10.1088/1755-1315/609/1/012032
- 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
- An Automatic Parameter Calibration Method for the TUW Model in Streamflow Modeling M. Yılmaz 10.21597/jist.1406563
- Uncertainty in the Number of Calibration Repetitions of a Hydrologic Model in Varying Climatic Conditions P. Sleziak et al. 10.3390/w12092362
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- Variability of seasonal floods in the Upper Danube River basin K. Jeneiová et al. 10.1515/johh-2016-0037
- Improving the theoretical underpinnings of process‐based hydrologic models M. Clark et al. 10.1002/2015WR017910
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- Factors controlling alterations in the performance of a runoff model in changing climate conditions P. Sleziak et al. 10.2478/johh-2018-0031
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- GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models T. Gleeson et al. 10.5194/gmd-14-7545-2021
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- Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model S. Sinha et al. 10.1016/j.ejrh.2016.06.002
- 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
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- Hydrology of the Carpathian Basin: interactions of climatic drivers and hydrological processes on local and regional scales – HydroCarpath Research J. Szolgay et al. 10.2478/johh-2020-0017
- Soil Moisture Simulation in Selected Austrian Catchements With Use of the Tuw Conceptual Semi-Distributed Rainfall Runoff Model M. Kubáň & A. Brziak 10.1088/1755-1315/609/1/012031
- Looking beyond general metrics for model comparison – lessons from an international model intercomparison study T. de Boer-Euser et al. 10.5194/hess-21-423-2017
- Subjective modeling decisions can significantly impact the simulation of flood and drought events L. Melsen et al. 10.1016/j.jhydrol.2018.11.046
- Multi-source hydrological soil moisture state estimation using data fusion optimisation L. Zhuo & D. Han 10.5194/hess-21-3267-2017
- Twenty-three unsolved problems in hydrology (UPH) – a community perspective G. Blöschl et al. 10.1080/02626667.2019.1620507
- The effect of the snow weighting on the temporal stability of hydrologic model efficiency and parameters P. Sleziak et al. 10.1016/j.jhydrol.2020.124639
- Importance of the informative content in the study area when regionalising rainfall-runoff model parameters: the role of nested catchments and gauging station density M. Neri et al. 10.5194/hess-24-5149-2020
3 citations as recorded by crossref.
- Most computational hydrology is not reproducible, so is it really science? C. Hutton et al. 10.1002/2016WR019285
- Digital catchment observatories: A platform for engagement and knowledge exchange between catchment scientists, policy makers, and local communities E. Mackay et al. 10.1002/2014WR016824
- Reply to comment by Melsen et al. on “Most computational hydrology is not reproducible, so is it really science?” C. Hutton et al. 10.1002/2017WR020476
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Latest update: 26 Dec 2024
Short summary
We present the outcomes of a collaborative hydrological experiment undertaken by five different international research groups in a virtual laboratory. Moving from the definition of accurate protocols, a rainfall-runoff model was independently applied by the research groups, which then engaged in a comparative discussion. The results revealed that sharing protocols and running the experiment within a controlled environment is fundamental for ensuring experiment repeatability and reproducibility.
We present the outcomes of a collaborative hydrological experiment undertaken by five different...
