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: 3,732 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,572 1,072 88 3,732 111 128
  • HTML: 2,572
  • PDF: 1,072
  • XML: 88
  • Total: 3,732
  • BibTeX: 111
  • EndNote: 128
Views and downloads (calculated since 12 Nov 2019)
Cumulative views and downloads (calculated since 12 Nov 2019)

Viewed (geographical distribution)

Total article views: 3,732 (including HTML, PDF, and XML) Thereof 3,458 with geography defined and 274 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Dec 2025
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.
Share