The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 8
Articles | Volume 17, issue 8
https://doi.org/10.5194/tc-17-3329-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-3329-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 8
Research article
 | 
17 Aug 2023
Research article |  | 17 Aug 2023

Exploring the potential of thermal infrared remote sensing to improve a snowpack model through an observing system simulation experiment

Esteban Alonso-González, Simon Gascoin, Sara Arioli, and Ghislain Picard

Viewed

Total article views: 1,517 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,071 386 60 1,517 44 46 44
  • HTML: 1,071
  • PDF: 386
  • XML: 60
  • Total: 1,517
  • Supplement: 44
  • BibTeX: 46
  • EndNote: 44
Views and downloads (calculated since 01 Dec 2022)
Cumulative views and downloads (calculated since 01 Dec 2022)

Viewed (geographical distribution)

Total article views: 1,517 (including HTML, PDF, and XML) Thereof 1,479 with geography defined and 38 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Data assimilation techniques are a promising approach to improve snowpack simulations in remote areas that are difficult to monitor. This paper studies the ability of satellite-observed land surface temperature to improve snowpack simulations through data assimilation. We show that it is possible to improve snowpack simulations, but the temporal resolution of the observations and the algorithm used are critical to obtain satisfactory results.
Read more