Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5947-2018
https://doi.org/10.5194/hess-22-5947-2018
Research article
 | 
22 Nov 2018
Research article |  | 22 Nov 2018

The effect of input data resolution and complexity on the uncertainty of hydrological predictions in a humid vegetated watershed

Linh Hoang, Rajith Mukundan, Karen E. B. Moore, Emmet M. Owens, and Tammo S. Steenhuis

Viewed

Total article views: 4,217 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,767 1,362 88 4,217 227 132 149
  • HTML: 2,767
  • PDF: 1,362
  • XML: 88
  • Total: 4,217
  • Supplement: 227
  • BibTeX: 132
  • EndNote: 149
Views and downloads (calculated since 26 Feb 2018)
Cumulative views and downloads (calculated since 26 Feb 2018)

Viewed (geographical distribution)

Total article views: 4,217 (including HTML, PDF, and XML) Thereof 3,917 with geography defined and 300 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Jan 2026
Download
Short summary
The paper analyzes the effect of two input data (DEMs and the combination of soil and land use data) with different resolution and complexity on the uncertainty of model outputs (the predictions of streamflow and saturated areas) and parameter uncertainty using SWAT-HS. Results showed that DEM resolution has significant effect on the spatial pattern of saturated areas and using complex soil and land use data may not necessarily improve model performance or reduce model uncertainty.
Share