Ocean Science
Ocean Science
OS
Articles | Volume 21, issue 1
Articles | Volume 21, issue 1
https://doi.org/10.5194/os-21-133-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-133-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 1
Research article
 | 
24 Jan 2025
Research article |  | 24 Jan 2025

Understanding uncertainties in the satellite altimeter measurement of coastal sea level: insights from a round-robin analysis

Florence Birol, François Bignalet-Cazalet, Mathilde Cancet, Jean-Alexis Daguze, Wassim Fkaier, Ergane Fouchet, Fabien Léger, Claire Maraldi, Fernando Niño, Marie-Isabelle Pujol, and Ngan Tran

Viewed

Total article views: 692 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
403 111 178 692 9 9
  • HTML: 403
  • PDF: 111
  • XML: 178
  • Total: 692
  • BibTeX: 9
  • EndNote: 9
Views and downloads (calculated since 22 Aug 2024)
Cumulative views and downloads (calculated since 22 Aug 2024)

Viewed (geographical distribution)

Total article views: 692 (including HTML, PDF, and XML) Thereof 657 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Jan 2025
Download
Short summary
We take advantage of the availability of several algorithms for most of the terms/corrections used to calculate altimetry sea level data to quantify and analyze the sources of uncertainty associated with the approach to the coast. The results highlight their hierarchy. Tidal corrections and mean sea surface height contribute to coastal sea level data uncertainties. Improving the retracking algorithm is today the main factor to bring accurate altimetry sea level data closer to the shore.
Read more