Ocean Science
Ocean Science
OS
Articles | Volume 18, issue 1
Articles | Volume 18, issue 1
https://doi.org/10.5194/os-18-51-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-18-51-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 1
Research article
 | Highlight paper
 | 
06 Jan 2022
Research article | Highlight paper |  | 06 Jan 2022

Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system

Guokun Lyu, Nuno Serra, Meng Zhou, and Detlef Stammer

Viewed

Total article views: 4,912 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,835 952 125 4,912 127 166
  • HTML: 3,835
  • PDF: 952
  • XML: 125
  • Total: 4,912
  • BibTeX: 127
  • EndNote: 166
Views and downloads (calculated since 25 Aug 2021)
Cumulative views and downloads (calculated since 25 Aug 2021)

Viewed (geographical distribution)

Total article views: 4,912 (including HTML, PDF, and XML) Thereof 4,673 with geography defined and 239 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 06 May 2026
Download
Short summary
This study explores the Arctic sea level variability depending on different timescales and the relation to temperature, salinity and mass changes, identifying key parameters and regions that need to be observed coordinately. The decadal sea level variability reflects salinity changes. But it can only reflect salinity change at periods of greater than 1 year, highlighting the requirement for enhancing in situ hydrographic observations and complicated interpolation methods.
Read more
Share
Special issue
Towards an integrated Arctic observation system to fill gaps...