Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 6
Articles | Volume 23, issue 6
https://doi.org/10.5194/hess-23-2735-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-2735-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 6
Research article
 | 
28 Jun 2019
Research article |  | 28 Jun 2019

Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management

Richard Arsenault and Pascal Côté

Related authors

Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks
Jean-Luc Martel, François Brissette, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
Hydrol. Earth Syst. Sci., 29, 2811–2836, https://doi.org/10.5194/hess-29-2811-2025,https://doi.org/10.5194/hess-29-2811-2025, 2025
Short summary
Enhancing physically based and distributed hydrological model calibration through internal state variable constraints
Frédéric Talbot, Jean-Daniel Sylvain, Guillaume Drolet, Annie Poulin, and Richard Arsenault
EGUsphere, https://doi.org/10.5194/egusphere-2024-3353,https://doi.org/10.5194/egusphere-2024-3353, 2024
Short summary
Towards a semi-asynchronous method for hydrological modeling in climate change studies
Frédéric Talbot, Simon Ricard, Jean-Daniel Sylvain, Guillaume Drolet, Annie Poulin, Jean-Luc Martel, and Richard Arsenault
EGUsphere, https://doi.org/10.5194/egusphere-2024-3037,https://doi.org/10.5194/egusphere-2024-3037, 2024
Preprint archived
Short summary
Exploring the ability of LSTM-based hydrological models to simulate streamflow time series for flood frequency analysis
Jean-Luc Martel, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, François Brissette, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Simon Lachance-Cloutier, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
EGUsphere, https://doi.org/10.5194/egusphere-2024-2134,https://doi.org/10.5194/egusphere-2024-2134, 2024
Short summary
Assessing the Hydrological Impact Sensitivity to Climate Model Weighting Strategies
Mehrad Rahimpour Asenjan, Francois Brissette, Richard Arsenault, and Jean-Luc Martel
EGUsphere, https://doi.org/10.5194/egusphere-2024-1183,https://doi.org/10.5194/egusphere-2024-1183, 2024
Preprint archived
Short summary
More articles (5)

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Stochastic approaches
Check dam impact on sediment loads: example of the Guerbe River in the Swiss Alps – a catchment scale experiment
Ariel Henrique do Prado, David Mair, Philippos Garefalakis, Chantal Schmidt, Alexander Whittaker, Sebastien Castelltort, and Fritz Schlunegger
Hydrol. Earth Syst. Sci., 28, 1173–1190, https://doi.org/10.5194/hess-28-1173-2024,https://doi.org/10.5194/hess-28-1173-2024, 2024
Short summary
Controls on flood managed aquifer recharge through a heterogeneous vadose zone: hydrologic modeling at a site characterized with surface geophysics
Zach Perzan, Gordon Osterman, and Kate Maher
Hydrol. Earth Syst. Sci., 27, 969–990, https://doi.org/10.5194/hess-27-969-2023,https://doi.org/10.5194/hess-27-969-2023, 2023
Short summary
Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China
Zhiwei Yue, Xiangxiang Ji, La Zhuo, Wei Wang, Zhibin Li, and Pute Wu
Hydrol. Earth Syst. Sci., 26, 4637–4656, https://doi.org/10.5194/hess-26-4637-2022,https://doi.org/10.5194/hess-26-4637-2022, 2022
Short summary
Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate
Qifen Yuan, Thordis L. Thorarinsdottir, Stein Beldring, Wai Kwok Wong, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 25, 5259–5275, https://doi.org/10.5194/hess-25-5259-2021,https://doi.org/10.5194/hess-25-5259-2021, 2021
Short summary
3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures
Rasmus Bødker Madsen, Hyojin Kim, Anders Juhl Kallesøe, Peter B. E. Sandersen, Troels Norvin Vilhelmsen, Thomas Mejer Hansen, Anders Vest Christiansen, Ingelise Møller, and Birgitte Hansen
Hydrol. Earth Syst. Sci., 25, 2759–2787, https://doi.org/10.5194/hess-25-2759-2021,https://doi.org/10.5194/hess-25-2759-2021, 2021
Short summary
More articles (20)

Cited articles

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. 
Arsenault, R., Malo, J., Brissette, F., Minville, M., and Leconte, R.: Structural and non-structural climate change adaptation strategies for the Péribonka water resource system, Water Resour. Manag., 27, 2075–2087, https://doi.org/10.1007/s11269-013-0275-6, 2013. 
Arsenault, R., Poulin, A., Côté, P., and Brissette, F.: A comparison of stochastic optimization algorithms in hydrological model calibration, J. Hydrol. Eng., 19, 1374–1384, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000938, 2014. 
Arsenault, R., Latraverse, M., and Duchesne, T.: An efficient method to correct under-dispersion in ensemble streamflow prediction for seasonal volumetric forecasting, Water Resour. Manag., 30, 4363–4380, https://doi.org/10.1007/s11269-016-1425-4, 2016. 
Boucher, M. A., Tremblay, D., Delorme, L., Perreault, L., and Anctil, F.: Hydro-economic assessment of hydrological forecasting systems, J. Hydrol., 416, 133–144, https://doi.org/10.1016/j.jhydrol.2011.11.042, 2012. 
More articles (38)
Download
Short summary
Hydrological forecasting allows hydropower system operators to make the most efficient use of the available water as possible. Accordingly, hydrologists have been aiming at improving the quality of these forecasts. This work looks at the impacts of improving systematic errors in a forecasting scheme on the hydropower generation using a few decision-aiding tools that are used operationally by hydropower utilities. We find that the impacts differ according to the hydropower system characteristics.
Read more
Share