Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5711-2018
https://doi.org/10.5194/hess-22-5711-2018
Research article
 | 
05 Nov 2018
Research article |  | 05 Nov 2018

Assimilation of passive microwave AMSR-2 satellite observations in a snowpack evolution model over northeastern Canada

Fanny Larue, Alain Royer, Danielle De Sève, Alexandre Roy, and Emmanuel Cosme

Viewed

Total article views: 3,015 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,876 1,046 93 3,015 78 77
  • HTML: 1,876
  • PDF: 1,046
  • XML: 93
  • Total: 3,015
  • BibTeX: 78
  • EndNote: 77
Views and downloads (calculated since 13 Mar 2018)
Cumulative views and downloads (calculated since 13 Mar 2018)

Viewed (geographical distribution)

Total article views: 3,015 (including HTML, PDF, and XML) Thereof 2,823 with geography defined and 192 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Jul 2024
Download
Short summary
A data assimilation scheme was developed to improve snow water equivalent (SWE) simulations by updating meteorological forcings and snowpack states using passive microwave satellite observations. A chain of models was first calibrated to simulate satellite observations over northeastern Canada. The assimilation was then validated over 12 stations where daily SWE measurements were acquired during 4 winters (2012–2016). The overall SWE bias is reduced by 68 % compared to original SWE simulations.