The Cryosphere
The Cryosphere
TC
Articles | Volume 14, issue 7
Articles | Volume 14, issue 7
https://doi.org/10.5194/tc-14-2409-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-2409-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 7
Research article
 | 
27 Jul 2020
Research article |  | 27 Jul 2020

Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations

Leandro Ponsoni, François Massonnet, David Docquier, Guillian Van Achter, and Thierry Fichefet

Viewed

Total article views: 5,993 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,636 1,269 88 5,993 91 110
  • HTML: 4,636
  • PDF: 1,269
  • XML: 88
  • Total: 5,993
  • BibTeX: 91
  • EndNote: 110
Views and downloads (calculated since 22 Nov 2019)
Cumulative views and downloads (calculated since 22 Nov 2019)

Viewed (geographical distribution)

Total article views: 5,993 (including HTML, PDF, and XML) Thereof 5,380 with geography defined and 613 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
The continuous melting of the Arctic sea ice observed in the last decades has a significant impact at global and regional scales. To understand the amplitude and consequences of this impact, the monitoring of the total sea ice volume is crucial. However, in situ monitoring in such a harsh environment is hard to perform and far too expensive. This study shows that four well-placed sampling locations are sufficient to explain about 70 % of the inter-annual changes in the pan-Arctic sea ice volume.
Read more