Articles | Volume 30, issue 16
https://doi.org/10.5194/hess-30-5195-2026
https://doi.org/10.5194/hess-30-5195-2026
Research article
 | 
17 Aug 2026
Research article |  | 17 Aug 2026

Hydrologic model parameter estimation in snow-dominated headwater catchments using multiple observation datasets

Lauren H. North, Adrienne M. Marshall, Glenn A. Tootle, Lisa Davis, Andy W. Wood, and Eric J. Anderson

Viewed

Total article views: 2,717 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,684 891 142 2,717 278 86 125
  • HTML: 1,684
  • PDF: 891
  • XML: 142
  • Total: 2,717
  • Supplement: 278
  • BibTeX: 86
  • EndNote: 125
Views and downloads (calculated since 04 Jan 2026)
Cumulative views and downloads (calculated since 04 Jan 2026)

Viewed (geographical distribution)

Total article views: 2,717 (including HTML, PDF, and XML) Thereof 2,653 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Aug 2026
Download
Short summary
We assessed the U.S. National Hydrologic Model's ability to simulate several components of the water cycle using multiple datasets of environmental variables. We find that the model's accuracy in streamflow simulation is positively and negatively impacted by the additional constraints, and more model parameters are identified as important. Our results inform operational hydrologic modeling by illuminating the complexities of using the continually expanding suite of data products.
Share