Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1299-2018
https://doi.org/10.5194/hess-22-1299-2018
Research article
 | 
20 Feb 2018
Research article |  | 20 Feb 2018

Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model

Mehmet C. Demirel, Juliane Mai, Gorka Mendiguren, Julian Koch, Luis Samaniego, and Simon Stisen

Viewed

Total article views: 6,356 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,943 2,289 124 6,356 111 117
  • HTML: 3,943
  • PDF: 2,289
  • XML: 124
  • Total: 6,356
  • BibTeX: 111
  • EndNote: 117
Views and downloads (calculated since 09 Oct 2017)
Cumulative views and downloads (calculated since 09 Oct 2017)

Viewed (geographical distribution)

Total article views: 6,356 (including HTML, PDF, and XML) Thereof 5,978 with geography defined and 378 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 May 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Satellite data offer great opportunities to improve spatial model predictions by means of spatially oriented model evaluations. In this study, satellite images are used to observe spatial patterns of evapotranspiration at the land surface. These spatial patterns are utilized in combination with streamflow observations in a model calibration framework including a novel spatial performance metric tailored to target the spatial pattern performance of a catchment-scale hydrological model.