Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2609-2020
https://doi.org/10.5194/hess-24-2609-2020
Research article
 | 
20 May 2020
Research article |  | 20 May 2020

Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models?

Denis Ruelland

Viewed

Total article views: 2,799 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,935 805 59 2,799 64 58
  • HTML: 1,935
  • PDF: 805
  • XML: 59
  • Total: 2,799
  • BibTeX: 64
  • EndNote: 58
Views and downloads (calculated since 12 Nov 2019)
Cumulative views and downloads (calculated since 12 Nov 2019)

Viewed (geographical distribution)

Total article views: 2,799 (including HTML, PDF, and XML) Thereof 2,522 with geography defined and 277 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
Interpolation methods accounting for elevation dependency from scattered gauges result in inaccurate inputs for snow-hydrological models. Altitudinal gradients of temperature and precipitation can be successfully inferred using an inverse snow-hydrological modelling approach. This approach can significantly improve the simulation of snow cover and streamflow dynamics through more parsimonious parametrization.