Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3851-2020
© Author(s) 2020. 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-24-3851-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions
Water Resources and Ecosystems Department, IHE Delft Institute for Water Education, Delft, the Netherlands
Wageningen Institute for Environment and Climate Research, Wageningen University & Research, the Netherlands
FutureWater, Costerweg 1V, 6702 AA Wageningen, the Netherlands
Faysal Chowdhury
Water Resources and Ecosystems Department, IHE Delft Institute for Water Education, Delft, the Netherlands
Micha Werner
Water Resources and Ecosystems Department, IHE Delft Institute for Water Education, Delft, the Netherlands
Division of Inland Water Systems, Deltares, Delft, the Netherlands
James Bennett
CSIRO Land & Water, Clayton, Victoria, Australia
Institute for Marine and Antarctic Studies, University of Tasmania, Battery Point, Tasmania, Australia
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Cited
13 citations as recorded by crossref.
- Delivering the latest global water resource simulation results to the public J. Boulange et al. 10.1016/j.cliser.2023.100386
- Understanding Water Governance in the Central Rift Valley of Ethiopia: Governance Framework, Coherence and Practices E. Jibat et al. 10.1007/s00267-024-01966-6
- Informing Stochastic Streamflow Generation by Large-Scale Climate Indices at Single and Multiple Sites M. Zaerpour et al. 10.1016/j.advwatres.2021.104037
- Use of Climate Information in Water Allocation: A Case of Study in a Semiarid Region J. Pereira et al. 10.3390/w15132460
- Hydrometeorological Insights into the Forecasting Performance of Multi-Source Weather over a Typical Hill-Karst Basin, Southwest China C. Mo et al. 10.3390/atmos15020236
- A stochastic deep-learning-based approach for improved streamflow simulation N. Dolatabadi & B. Zahraie 10.1007/s00477-023-02567-1
- A new approach of coupled long-range forecasts for streamflow and groundwater level D. Robertson et al. 10.1016/j.jhydrol.2024.130837
- Daily reservoir inflow forecasting using weather forecast downscaling and rainfall-runoff modeling: Application to Urmia Lake basin, Iran A. Meydani et al. 10.1016/j.ejrh.2022.101228
- Climate adaptation options for the 2026 Basin Plan: opportunities for managing climate risk J. Alexandra 10.1080/13241583.2022.2133643
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
- Wildfire and climate change amplify knowledge gaps linking mountain source-water systems and agricultural water supply in the western United States D. Barnard et al. 10.1016/j.agwat.2023.108377
- Reliability of Ensemble Climatological Forecasts Z. Huang et al. 10.1029/2023WR034942
- Using Ensemble Streamflow Forecasts to Inform Seasonal Outlooks for Water Allocations in the Murray Darling Basin T. Graham et al. 10.1061/JWRMD5.WRENG-6099
13 citations as recorded by crossref.
- Delivering the latest global water resource simulation results to the public J. Boulange et al. 10.1016/j.cliser.2023.100386
- Understanding Water Governance in the Central Rift Valley of Ethiopia: Governance Framework, Coherence and Practices E. Jibat et al. 10.1007/s00267-024-01966-6
- Informing Stochastic Streamflow Generation by Large-Scale Climate Indices at Single and Multiple Sites M. Zaerpour et al. 10.1016/j.advwatres.2021.104037
- Use of Climate Information in Water Allocation: A Case of Study in a Semiarid Region J. Pereira et al. 10.3390/w15132460
- Hydrometeorological Insights into the Forecasting Performance of Multi-Source Weather over a Typical Hill-Karst Basin, Southwest China C. Mo et al. 10.3390/atmos15020236
- A stochastic deep-learning-based approach for improved streamflow simulation N. Dolatabadi & B. Zahraie 10.1007/s00477-023-02567-1
- A new approach of coupled long-range forecasts for streamflow and groundwater level D. Robertson et al. 10.1016/j.jhydrol.2024.130837
- Daily reservoir inflow forecasting using weather forecast downscaling and rainfall-runoff modeling: Application to Urmia Lake basin, Iran A. Meydani et al. 10.1016/j.ejrh.2022.101228
- Climate adaptation options for the 2026 Basin Plan: opportunities for managing climate risk J. Alexandra 10.1080/13241583.2022.2133643
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
- Wildfire and climate change amplify knowledge gaps linking mountain source-water systems and agricultural water supply in the western United States D. Barnard et al. 10.1016/j.agwat.2023.108377
- Reliability of Ensemble Climatological Forecasts Z. Huang et al. 10.1029/2023WR034942
- Using Ensemble Streamflow Forecasts to Inform Seasonal Outlooks for Water Allocations in the Murray Darling Basin T. Graham et al. 10.1061/JWRMD5.WRENG-6099
Latest update: 20 Nov 2024
Short summary
This paper was developed from PhD research focused on assessing the value of using hydrological datasets in water resource management. Previous studies have assessed how well data can help in predicting river flows, but there is a lack of knowledge of how well data can help in water allocation decisions. In our research, it was found that using seasonal streamflow forecasts improves the available water estimates, resulting in better water allocation decisions in a highly regulated basin.
This paper was developed from PhD research focused on assessing the value of using hydrological...