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
Data sets
Error variance-covariance matrix of global mean sea level estimated from satellite altimetry (TOPEX, Jason 1, Jason 2, Jason 3) M. Ablain, B. Meyssignac, L. Zawadzki, R. Jugier, A. Ribes, A. Cazenave, and N. Picot https://doi.org/10.17882/58344
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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