Articles | Volume 28, issue 15
https://doi.org/10.5194/hess-28-3597-2024
https://doi.org/10.5194/hess-28-3597-2024
Research article
 | 
08 Aug 2024
Research article |  | 08 Aug 2024

A decomposition approach to evaluating the local performance of global streamflow reanalysis

Tongtiegang Zhao, Zexin Chen, Yu Tian, Bingyao Zhang, Yu Li, and Xiaohong Chen

Viewed

Total article views: 1,940 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,350 503 87 1,940 79 103 110
  • HTML: 1,350
  • PDF: 503
  • XML: 87
  • Total: 1,940
  • Supplement: 79
  • BibTeX: 103
  • EndNote: 110
Views and downloads (calculated since 20 Mar 2024)
Cumulative views and downloads (calculated since 20 Mar 2024)

Viewed (geographical distribution)

Total article views: 1,940 (including HTML, PDF, and XML) Thereof 1,872 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Mar 2026
Download
Short summary
The local performance plays a critical part in practical applications of global streamflow reanalysis. This paper develops a decomposition approach to evaluating streamflow analysis at different timescales. The reanalysis is observed to be more effective in characterizing seasonal, annual and multi-annual features than daily, weekly and monthly features. Also, the local performance is shown to be primarily influenced by precipitation seasonality, longitude, mean precipitation and mean slope.
Share