Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5947–5965, 2018
https://doi.org/10.5194/hess-22-5947-2018
Hydrol. Earth Syst. Sci., 22, 5947–5965, 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 et al.

Viewed

Total article views: 2,437 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,563 849 25 2,437 114 40 41
  • HTML: 1,563
  • PDF: 849
  • XML: 25
  • Total: 2,437
  • Supplement: 114
  • BibTeX: 40
  • EndNote: 41
Views and downloads (calculated since 26 Feb 2018)
Cumulative views and downloads (calculated since 26 Feb 2018)

Viewed (geographical distribution)

Total article views: 2,256 (including HTML, PDF, and XML) Thereof 2,198 with geography defined and 58 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Dec 2021
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.