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Dataset

 

ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Constrained dataset

Update Frequency: Not Planned
Latest Data Update: 2026-05-27
Status: Pending
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

The SLBC_cci+ dataset is provided as a single data collection that contains the Sea Level Budget (SLB) components from the constrained approach. This dataset is a compilation of time series and regional grids of the following elements of the mean sea level budget and ocean mass budget:

(a) relative sea level;
(b) the thermosteric component of mean sea level, representing the change in ocean density caused by thermal expansion;
(c) sea level changes due to salinity-driven density variations in the ocean;
(d) the mass contribution to mean sea level.

Uncertainties associated with each component were characterized. These uncertainties are provided as variance-covariance matrices, available at a monthly timescale for both global and regional scales. These matrices enable the estimation of uncertainties in trends and acceleration across any timescales.

Citable as:  [ PROVISIONAL ] Meyssignac, B.; Ablain, M.; Bouih, M.; Ferrari, R.; Fraudeau, R.; Cazenave, A.; Blazquez, A.; Lecomte, H.; Horwath, M.; Döhne, T.; Bamber, J.; Kolodziejczyk, N.; William, L.; Asselot, R.; Oulhen, E.; Spada, G.; Leroux, S.; Penduff, T.; Bonaduce, A.; Roshin, R.; Mangini, F.; Storto, A.; Chunxue, Y.; Papasarafianou, S.; Schlaak, M.; Connors, S.; Melini, D. (9999): ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Constrained dataset. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/d9e614df708c40ee8ae097cdaf8279a0

Abbreviation: Not defined
Keywords: Not defined

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Please contact the data centre for details on how to access these data.
For data use licensing information please contact:
support@ceda.ac.uk

Data lineage:

This dataset is the continuity of the first phase of the SLBC_cci project. It provides the latest scientific estimates of sea level budget components. It includes global estimates for each component from 1993-2023 (the altimetry era) and regional estimates from 2002-2023 (the gravimetry era). Time dependent fields are displayed at monthly resolution for every component. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
For information on the data quality see the associated documentation.
File Format:
Not defined

Related Documents

 Product User Guide

Process overview

This dataset was generated by the computation detailed below.
Title

Compilation of the ESA Climate Change Initiative Sea Level Budget Closure

Abstract

The compilation is a result from the Sea-level Budget Closure (SLBC_cci) project conducted in the framework of ESA’s Climate Change Initiative (CCI).
Data and methods underlying the time series are as follows:
(a) satellite altimetry analysis by the Sea Level CCI project.
(b) a new analysis of Argo drifter data with incorporation of sea surface temperature data; an alternative time series consists in an ensemble mean over previous global mean steric sea level anomaly time series.
(c) analysis of monthly global gravity field solutions from the Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry mission.
(d) results from a global glacier model.
(e) analysis of satellite radar altimetry over the Greenland Ice Sheet, amended by results from the global glacier model for the Greenland peripheral glaciers; an alternative time series consists of results from GRACE satellite gravimetry.
(f) analysis of satellite radar altimetry over the Antarctic Ice Sheet; an alternative time series consists of results from GRACE satellite gravimetry.
(g) results from the WaterGAP global hydrological model.

Input Description

None

Output Description

None

Software Reference

None

No variables found.