The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/tc-17-2705-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-2705-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Research article
 | 
12 Jul 2023
Research article |  | 12 Jul 2023

Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals

Nina Raoult, Sylvie Charbit, Christophe Dumas, Fabienne Maignan, Catherine Ottlé, and Vladislav Bastrikov

Viewed

Total article views: 2,403 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,802 519 82 2,403 79 130
  • HTML: 1,802
  • PDF: 519
  • XML: 82
  • Total: 2,403
  • BibTeX: 79
  • EndNote: 130
Views and downloads (calculated since 22 Aug 2022)
Cumulative views and downloads (calculated since 22 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,403 (including HTML, PDF, and XML) Thereof 2,323 with geography defined and 80 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2025
Download
Short summary
Greenland ice sheet melting due to global warming could significantly impact global sea-level rise. The ice sheet's albedo, i.e. how reflective the surface is, affects the melting speed. The ORCHIDEE computer model is used to simulate albedo and snowmelt to make predictions. However, the albedo in ORCHIDEE is lower than that observed using satellites. To correct this, we change model parameters (e.g. the rate of snow decay) to reduce the difference between simulated and observed values.
Read more
Share