Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 15
Articles | Volume 27, issue 15
https://doi.org/10.5194/hess-27-2919-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-27-2919-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 15
Research article
 | 
09 Aug 2023
Research article |  | 09 Aug 2023

A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates

Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu

Viewed

Total article views: 2,138 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,655 414 69 2,138 38 33
  • HTML: 1,655
  • PDF: 414
  • XML: 69
  • Total: 2,138
  • BibTeX: 38
  • EndNote: 33
Views and downloads (calculated since 17 Oct 2022)
Cumulative views and downloads (calculated since 17 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,138 (including HTML, PDF, and XML) Thereof 2,038 with geography defined and 100 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Dec 2024
Download
Short summary
This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.
Read more
Special issue
Experiments in Hydrology and Hydraulics