Articles | Volume 26, issue 9
https://doi.org/10.5194/hess-26-2431-2022
© 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-26-2431-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 May 2022
Research article |
| 09 May 2022
| 09 May 2022
Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis
Donghoon Lee
Department of Civil and Environmental Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA
Climate Hazards Center, Department of Geography, University of California, Santa Barbara, California, USA
Jia Yi Ng
Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore
Stefano Galelli
CORRESPONDING AUTHOR
Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore
Paul Block
Department of Civil and Environmental Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA
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Short summary
To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we need to understand the relationship between reservoir design specifications, forecast skill, and value. Here, we rely on realistic forecasts and simulated hydropower operations for 753 dams worldwide to unfold such relationship. Our analysis shows how forecast skill affects hydropower production, what type of dams are most likely to benefit from seasonal forecasts, and where these dams are located.
To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we...
