Articles | Volume 26, issue 9
https://doi.org/10.5194/hess-26-2431-2022
https://doi.org/10.5194/hess-26-2431-2022
Research article
 | 
09 May 2022
Research article |  | 09 May 2022

Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis

Donghoon Lee, Jia Yi Ng, Stefano Galelli, and Paul Block

Related authors

Subseasonal-to-seasonal predictability of the 2024 El Niño-induced Amazon drought
Prakrut Kansara, Benjamin Zaitchik, Augusto Getirana, Liana O. Anderson, Paul Block, Sujay Kumar, Carlos F. Mena, and William K. Pan
EGUsphere, https://doi.org/10.5194/egusphere-2026-4230,https://doi.org/10.5194/egusphere-2026-4230, 2026
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
A synthesis of water, energy, and carbon fluxes sensitivity to climate variables in Southeast Asia
Jianning Ren, Zhaoyang Luo, Xiangzhong Luo, Stefano Galelli, Athanasios Paschalis, Valeriy Ivanov, Shanti Shwarup Mahto, and Simone Fatichi
EGUsphere, https://doi.org/10.5194/egusphere-2025-4570,https://doi.org/10.5194/egusphere-2025-4570, 2025
Preprint archived
Short summary
A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res)
Shanti Shwarup Mahto, Simone Fatichi, and Stefano Galelli
Earth Syst. Sci. Data, 17, 2693–2712, https://doi.org/10.5194/essd-17-2693-2025,https://doi.org/10.5194/essd-17-2693-2025, 2025
Short summary
Reservoir Assessment Tool version 3.0: a scalable and user-friendly software platform to mobilize the global water management community
Sanchit Minocha, Faisal Hossain, Pritam Das, Sarath Suresh, Shahzaib Khan, George Darkwah, Hyongki Lee, Stefano Galelli, Konstantinos Andreadis, and Perry Oddo
Geosci. Model Dev., 17, 3137–3156, https://doi.org/10.5194/gmd-17-3137-2024,https://doi.org/10.5194/gmd-17-3137-2024, 2024
Short summary
Calibrating macroscale hydrological models in poorly gauged and heavily regulated basins
Dung Trung Vu, Thanh Duc Dang, Francesca Pianosi, and Stefano Galelli
Hydrol. Earth Syst. Sci., 27, 3485–3504, https://doi.org/10.5194/hess-27-3485-2023,https://doi.org/10.5194/hess-27-3485-2023, 2023
Short summary

Cited articles

Adams, T. E. and Pagano, T. C.: Flood forecasting: A global perspective, Academic Press, ISBN 13 9780128018842, 2016. a
Ahmad, S. K. and Hossain, F.: A generic data-driven technique for forecasting of reservoir inflow: Application for hydropower maximization, Environ. Modell. Softw., 119, 147–165, 2019. a
Ahmad, S. K. and Hossain, F.: Forecast-informed hydropower optimization at long and short-time scales for a multiple dam network, J. Renew. Sustain. Ener., 12, 014501, https://doi.org/10.1063/1.5124097, 2020. a, b
Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., and Siebert, S.: Development and testing of the WaterGAP 2 global model of water use and availability, Hydrolog. Sci. J., 48, 317–337, 2003. a
Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., and Lettenmaier, D. P.: Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments, Water Resour. Res., 52, 4209–4225, 2016. a, b
Download
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.
Share