Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1001-2022
https://doi.org/10.5194/hess-26-1001-2022
Research article
 | 
22 Feb 2022
Research article |  | 22 Feb 2022

Exploring hydrologic post-processing of ensemble streamflow forecasts based on affine kernel dressing and non-dominated sorting genetic algorithm II

Jing Xu, François Anctil, and Marie-Amélie Boucher

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Latest update: 25 Aug 2025
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Short summary
The performance of the non-dominated sorting genetic algorithm II (NSGA-II) is compared with a conventional post-processing method of affine kernel dressing. NSGA-II showed its superiority in improving the forecast skill and communicating trade-offs with end-users. It allows the enhancement of the forecast quality since it allows for setting multiple specific objectives from scratch. This flexibility should be considered as a reason to implement hydrologic ensemble prediction systems (H-EPSs).
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