Articles | Volume 17, issue 8
https://doi.org/10.5194/gmd-17-3199-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3199-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications
Willem J. van Verseveld
CORRESPONDING AUTHOR
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Albrecht H. Weerts
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Hydrology and Environmental Hydraulics Group, Department of Environmental Sciences, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Martijn Visser
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Joost Buitink
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Ruben O. Imhoff
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Hélène Boisgontier
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Laurène Bouaziz
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Dirk Eilander
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Mark Hegnauer
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Corine ten Velden
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Bobby Russell
Department of Inland Water Systems, Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
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Cited
11 citations as recorded by crossref.
- Zooplankton functional diversity as a bioindicator of freshwater ecosystem health across land use gradient A. Goździejewska et al. 10.1038/s41598-024-69577-z
- Catchment response to climatic variability: implications for root zone storage and streamflow predictions N. Tempel et al. 10.5194/hess-28-4577-2024
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al. 10.1038/s41597-024-03825-9
- Machine learning for real-time reservoir operation simulation: comparing input variables and algorithms for the Sirikit Reservoir, Thailand C. Wannasin et al. 10.2166/hydro.2024.153
- Amplifying exploration of regional climate risks: clustering future projections on regionally relevant impact drivers instead of emission scenarios F. Buskop et al. 10.1088/2752-5295/ad9f8f
- A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm R. Imhoff et al. 10.1016/j.envsoft.2024.106099
- The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability S. Rusli et al. 10.5194/hess-28-5107-2024
- Operational low-flow forecasting using LSTMs J. Deng et al. 10.3389/frwa.2023.1332678
- State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
- HydroMT: Automated and reproducible model building and analysis D. Eilander et al. 10.21105/joss.04897
8 citations as recorded by crossref.
- Zooplankton functional diversity as a bioindicator of freshwater ecosystem health across land use gradient A. Goździejewska et al. 10.1038/s41598-024-69577-z
- Catchment response to climatic variability: implications for root zone storage and streamflow predictions N. Tempel et al. 10.5194/hess-28-4577-2024
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al. 10.1038/s41597-024-03825-9
- Machine learning for real-time reservoir operation simulation: comparing input variables and algorithms for the Sirikit Reservoir, Thailand C. Wannasin et al. 10.2166/hydro.2024.153
- Amplifying exploration of regional climate risks: clustering future projections on regionally relevant impact drivers instead of emission scenarios F. Buskop et al. 10.1088/2752-5295/ad9f8f
- A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm R. Imhoff et al. 10.1016/j.envsoft.2024.106099
- The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability S. Rusli et al. 10.5194/hess-28-5107-2024
3 citations as recorded by crossref.
- Operational low-flow forecasting using LSTMs J. Deng et al. 10.3389/frwa.2023.1332678
- State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
- HydroMT: Automated and reproducible model building and analysis D. Eilander et al. 10.21105/joss.04897
Latest update: 06 Jan 2025
Short summary
We present the wflow_sbm distributed hydrological model, recently released by Deltares, as part of the Wflow.jl open-source modelling framework in the programming language Julia. Wflow_sbm has a fast runtime, making it suitable for large-scale modelling. Wflow_sbm models can be set a priori for any catchment with the Python tool HydroMT-Wflow based on globally available datasets, which results in satisfactory to good performance (without much tuning). We show this for a number of specific cases.
We present the wflow_sbm distributed hydrological model, recently released by Deltares, as part...