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

Viewed

Total article views: 2,201 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,664 471 66 2,201 76 69 67
  • HTML: 1,664
  • PDF: 471
  • XML: 66
  • Total: 2,201
  • Supplement: 76
  • BibTeX: 69
  • EndNote: 67
Views and downloads (calculated since 17 Jul 2020)
Cumulative views and downloads (calculated since 17 Jul 2020)

Viewed (geographical distribution)

Total article views: 2,201 (including HTML, PDF, and XML) Thereof 2,077 with geography defined and 124 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Feb 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).
Share