Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 1
Articles | Volume 28, issue 1
https://doi.org/10.5194/hess-28-21-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-21-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 1
Research article
 | 
02 Jan 2024
Research article |  | 02 Jan 2024

A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+

Salam A. Abbas, Ryan T. Bailey, Jeremy T. White, Jeffrey G. Arnold, Michael J. White, Natalja Čerkasova, and Jungang Gao

Viewed

Total article views: 3,569 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,670 828 71 3,569 55 53 52
  • HTML: 2,670
  • PDF: 828
  • XML: 71
  • Total: 3,569
  • Supplement: 55
  • BibTeX: 53
  • EndNote: 52
Views and downloads (calculated since 13 Jun 2023)
Cumulative views and downloads (calculated since 13 Jun 2023)

Viewed (geographical distribution)

Total article views: 3,569 (including HTML, PDF, and XML) Thereof 3,421 with geography defined and 148 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Jan 2025
Download
Short summary
Research highlights.

1. Implemented groundwater module (gwflow) into SWAT+ for four watersheds with different unique hydrologic features across the United States.

2. Presented methods for sensitivity analysis, uncertainty analysis and parameter estimation for coupled models.

3. Sensitivity analysis for streamflow and groundwater head conducted using Morris method.

4. Uncertainty analysis and parameter estimation performed using an iterative ensemble smoother within the PEST framework.

Read more