Uncertainty in satellite estimates of global mean sea-level changes, trend and acceleration

Ablain, Michaël; Meyssignac, Benoît; Zawadzki, Lionel; Jugier, Rémi; Ribes, Aurélien; Spada, Giorgio; Benveniste, Jerôme; Cazenave, Anny; Picot, Nicolas

doi:https://doi.org/10.5194/essd-11-1189-2019

Articles | Volume 11, issue 3

https://doi.org/10.5194/essd-11-1189-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-11-1189-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 3

Data description paper

|

07 Aug 2019

Data description paper |

| 07 Aug 2019

Uncertainty in satellite estimates of global mean sea-level changes, trend and acceleration

Michaël Ablain, Benoît Meyssignac, Lionel Zawadzki, Rémi Jugier, Aurélien Ribes, Giorgio Spada, Jerôme Benveniste, Anny Cazenave, and Nicolas Picot

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Final revised paper (published on 07 Aug 2019)
Preprint (discussion started on 25 Jan 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Accounting for changes in the ocean floor', Anonymous Referee #1, 24 May 2019
- RC2: 'referee's report', Anonymous Referee #2, 12 Jun 2019
  - AC2: 'Answer to RC2', Michaël Ablain, 10 Jul 2019
- AC1: 'Answer to RC1', Michaël Ablain, 10 Jul 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Michaël Ablain on behalf of the Authors (10 Jul 2019) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (11 Jul 2019) by Giuseppe M.R. Manzella

AR by Michaël Ablain on behalf of the Authors (12 Jul 2019) Author's response Manuscript

ED: Publish as is (16 Jul 2019) by Giuseppe M.R. Manzella

Short summary

A description of the uncertainties in the Global Mean Sea Level (GMSL) record has been performed; 25 years of satellite altimetry data were used to estimate the error variance–covariance matrix for the GMSL record to derive its confidence envelope. Then a least square approach was used to estimate the GMSL trend and acceleration uncertainties over any time periods. A GMSL trend of 3.35 ± 0.4 mm/yr and a GMSL acceleration of 0.12 ± 0.07 mm/yr² have been found within a 90 % confidence level.