Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 4
Articles | Volume 14, issue 4
https://doi.org/10.5194/essd-14-1493-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-1493-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 4
Data description paper
 | 
04 Apr 2022
Data description paper |  | 04 Apr 2022

Towards improved analysis of short mesoscale sea level signals from satellite altimetry

Yves Quilfen, Jean-François Piolle, and Bertrand Chapron

Viewed

Total article views: 2,976 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,966 892 118 2,976 101 125
  • HTML: 1,966
  • PDF: 892
  • XML: 118
  • Total: 2,976
  • BibTeX: 101
  • EndNote: 125
Views and downloads (calculated since 26 Oct 2021)
Cumulative views and downloads (calculated since 26 Oct 2021)

Viewed (geographical distribution)

Total article views: 2,976 (including HTML, PDF, and XML) Thereof 2,867 with geography defined and 109 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Oct 2025
Download
Short summary
Satellite sea surface heights (SSHs) are key observations used to monitor ocean dynamics. For each satellite altimeter mission, differing noise mixes with SSH signals preclude analysis of the smallest ocean scales. Using an adaptive filter, a new data set is produced for three altimeters, showing that SSH variability in the mesoscale 30–120 km wavelength band can now be more consistently resolved. For the first time, global small-scale ocean kinetic energy distributions are precisely monitored.
Read more
Share
Altmetrics
Final-revised paper
Preprint