Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 17
Articles | Volume 27, issue 17
https://doi.org/10.5194/hess-27-3241-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-3241-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 17
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: 2,487 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,870 557 60 2,487 78 62
  • HTML: 1,870
  • PDF: 557
  • XML: 60
  • Total: 2,487
  • BibTeX: 78
  • EndNote: 62
Views and downloads (calculated since 24 Jan 2023)
Cumulative views and downloads (calculated since 24 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,487 (including HTML, PDF, and XML) Thereof 2,386 with geography defined and 101 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 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.
Read more
Share