Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 4
Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1001-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1001-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 4
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

Viewed

Total article views: 2,398 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,780 542 76 2,398 92 82 92
  • HTML: 1,780
  • PDF: 542
  • XML: 76
  • Total: 2,398
  • Supplement: 92
  • BibTeX: 82
  • EndNote: 92
Views and downloads (calculated since 17 Jul 2020)
Cumulative views and downloads (calculated since 17 Jul 2020)

Viewed (geographical distribution)

Total article views: 2,398 (including HTML, PDF, and XML) Thereof 2,277 with geography defined and 121 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Aug 2025
Download
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).
Read more
Share