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.
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.
the Creative Commons Attribution 4.0 License.
Uncertainty in satellite estimates of global mean sea-level changes, trend and acceleration
Michaël Ablain
CORRESPONDING AUTHOR
MAGELLIUM, Ramonville Saint-Agne, 31520, France
Collecte Localisation Satellite (CLS), Ramonville Saint-Agne,
31520, France
Benoît Meyssignac
LEGOS, CNES, CNRS, IRD, Université Paul Sabatier, Toulouse, 31400,
France
Lionel Zawadzki
Collecte Localisation Satellite (CLS), Ramonville Saint-Agne,
31520, France
Rémi Jugier
MAGELLIUM, Ramonville Saint-Agne, 31520, France
Aurélien Ribes
CNRM, Université Paul Sabatier, Météo France, CNRS,
Toulouse, 31400, France
Giorgio Spada
Dipartimento di Scienze Pure e Applicate (DiSPeA), Urbino
University “Carlo Bo”, 61029, Urbino, PU, Italy
Jerôme Benveniste
European Space Agency (ESA-ESRIN), Fracati, Italy
Anny Cazenave
LEGOS, CNES, CNRS, IRD, Université Paul Sabatier, Toulouse, 31400,
France
Nicolas Picot
Centre National d'Etudes Spatiales (CNES), Toulouse, 31400, France
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Latest update: 14 Dec 2024
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.
A description of the uncertainties in the Global Mean Sea Level (GMSL) record has been performed;...
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