Articles | Volume 27, issue 17
https://doi.org/10.5194/hess-27-3241-2023
https://doi.org/10.5194/hess-27-3241-2023
Research article
 | 
08 Sep 2023
Research article |  | 08 Sep 2023

Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach

Samah Larabi, Juliane Mai, Markus Schnorbus, Bryan A. Tolson, and Francis Zwiers

Viewed

Total article views: 2,846 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,145 636 65 2,846 87 83
  • HTML: 2,145
  • PDF: 636
  • XML: 65
  • Total: 2,846
  • BibTeX: 87
  • EndNote: 83
Views and downloads (calculated since 24 Jan 2023)
Cumulative views and downloads (calculated since 24 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,846 (including HTML, PDF, and XML) Thereof 2,742 with geography defined and 104 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jul 2025
Download
Short summary
The computational cost of sensitivity analysis (SA) becomes prohibitive for large hydrologic modeling domains. Here, using a large-scale Variable Infiltration Capacity (VIC) deployment, we show that watershed classification helps identify the spatial pattern of parameter sensitivity within the domain at a reduced cost. Findings reveal the opportunity to leverage climate and land cover attributes to reduce the cost of SA and facilitate more rapid deployment of large-scale land surface models.
Share