Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 20, issue 9
Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3895-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3895-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 20, issue 9
Research article
 | 
22 Sep 2016
Research article |  | 22 Sep 2016

Assessing the benefit of snow data assimilation for runoff modeling in Alpine catchments

Nena Griessinger, Jan Seibert, Jan Magnusson, and Tobias Jonas

Viewed

Total article views: 4,278 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,525 1,588 165 4,278 123 141
  • HTML: 2,525
  • PDF: 1,588
  • XML: 165
  • Total: 4,278
  • BibTeX: 123
  • EndNote: 141
Views and downloads (calculated since 25 Feb 2016)
Cumulative views and downloads (calculated since 25 Feb 2016)
Latest update: 20 Dec 2025
Download
Short summary
In Alpine catchments, snowmelt is a major contribution to runoff. In this study, we address the question of whether the performance of a hydrological model can be enhanced by integrating data from an external snow monitoring system. To this end, a hydrological model was driven with snowmelt input from snow models of different complexities. Best performance was obtained with a snow model, which utilized data assimilation, in particular for catchments at higher elevations and for snow-rich years.
Read more
Share