The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 6
Articles | Volume 16, issue 6
https://doi.org/10.5194/tc-16-2183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-2183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 6
Research article
 | 
10 Jun 2022
Research article |  | 10 Jun 2022

GABLS4 intercomparison of snow models at Dome C in Antarctica

Patrick Le Moigne, Eric Bazile, Anning Cheng, Emanuel Dutra, John M. Edwards, William Maurel, Irina Sandu, Olivier Traullé, Etienne Vignon, Ayrton Zadra, and Weizhong Zheng

Viewed

Total article views: 1,961 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,291 571 99 1,961 81 77
  • HTML: 1,291
  • PDF: 571
  • XML: 99
  • Total: 1,961
  • BibTeX: 81
  • EndNote: 77
Views and downloads (calculated since 25 Jan 2022)
Cumulative views and downloads (calculated since 25 Jan 2022)

Viewed (geographical distribution)

Total article views: 1,961 (including HTML, PDF, and XML) Thereof 1,876 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Jun 2025
Download
Short summary
This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic research. The results show that the simplest models are, under certain conditions, able to reproduce the surface temperature just as well as the most complex models. Moreover, the diversity of surface parameters of the models has a strong impact on the temporal variability of the components of the simulated surface energy balance.
Read more
Share