Articles | Volume 10, issue 3
https://doi.org/10.5194/tc-10-1021-2016
https://doi.org/10.5194/tc-10-1021-2016
Research article
 | 
13 May 2016
Research article |  | 13 May 2016

On the assimilation of optical reflectances and snow depth observations into a detailed snowpack model

Luc Charrois, Emmanuel Cosme, Marie Dumont, Matthieu Lafaysse, Samuel Morin, Quentin Libois, and Ghislain Picard

Viewed

Total article views: 3,663 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,210 1,264 189 3,663 592 192 197
  • HTML: 2,210
  • PDF: 1,264
  • XML: 189
  • Total: 3,663
  • Supplement: 592
  • BibTeX: 192
  • EndNote: 197
Views and downloads (calculated since 14 Dec 2015)
Cumulative views and downloads (calculated since 14 Dec 2015)

Cited

Saved (preprint)

Latest update: 14 Dec 2024
Download
Short summary
This study investigates the assimilation of optical reflectances, snowdepth data and both combined into a multilayer snowpack model. Data assimilation is performed with an ensemble-based method, the Sequential Importance Resampling Particle filter. Experiments assimilating only synthetic data are conducted at one point in the French Alps, the Col du Lautaret, over five hydrological years. Results of the assimilation experiments show improvements of the snowpack bulk variables estimates.