Articles | Volume 30, issue 16
https://doi.org/10.5194/hess-30-5411-2026
https://doi.org/10.5194/hess-30-5411-2026
Research article
 | 
25 Aug 2026
Research article |  | 25 Aug 2026

Towards a semi-asynchronous method for hydrological modeling in climate change studies

Frédéric Talbot, Simon Ricard, Guillaume Drolet, Annie Poulin, Jean-Luc Martel, Richard Arsenault, and Jean-Daniel Sylvain

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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
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Cited articles

Arsenault, R., Brissette, F., Malo, J.-S., Minville, M., and Leconte, R.: Structural and Non-Structural Climate Change Adaptation Strategies for the Péribonka Water Resource System, Water Resour. Manage., 27, 2075–2087, https://doi.org/10.1007/s11269-013-0275-6, 2013. 
Arsenault, R., Poulin, A., Côté, P., and Brissette, F.: 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., Brissette, F., Chen, J., Guo, Q., and Dallaire, G.: NAC2H: The North American Climate Change and Hydroclimatology Data Set, Water Resour. Res., 56, e2020WR027097, https://doi.org/10.1029/2020WR027097, 2020. 
Arsenault, R., Huard, D., Martel, J.-L., Troin, M., Mai, J., Brissette, F., Jauvin, C., Vu, L., Craig, J. R., Smith, T. J., Logan, T., Tolson, B. A., Han, M., Gravel, F., and Langlois, S.: The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America, Environ. Modell. Softw., 168, 105808, https://doi.org/10.1016/j.envsoft.2023.105808, 2023. 
Aygün, O., Kinnard, C., Campeau, S., and Pomeroy, J. W.: Landscape and climate conditions influence the hydrological sensitivity to climate change in eastern Canada, J. Hydrol., 615, 128595, https://doi.org/10.1016/j.jhydrol.2022.128595, 2022. 
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This study compares three hydrological modeling approaches for assessing climate change impacts on water systems. It evaluates the conventional method alongside a fully- and semi-asynchronous methods, which excels in capturing extreme events but faces challenges with event timing. The results highlight the potential of the semi-asynchronous method as an innovative and robust tool for hydrological modeling under climate change.
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