Monomission altimeter satellite along-track sea surface heights computed with respect to a twenty-year mean. Previously distributed by Aviso+, no change in the scientific content. All the missions are homogenized with respect to a reference mission which is currently OSTM/Jason-2. The sla is computed with an optimal and centered computation time window (6 weeks before and after the date). Two kinds of datasets are proposed: filtered (nominal dataset) and unfiltered.

Multimission altimeter satellite gridded sea surface heights and derived variables computed with respect to a twenty-year mean. Previously distributed by Aviso+, no change in the scientific content. All the missions are homogenized with respect to a reference mission. The acquisition of various altimeter data is a few days at most. The sla is computed with a non-centered computation time window (6 weeks before the date).

The mean sea surface (MSS) is an important field in physical oceanography, geophysics, and geodesy. In principle, it corresponds to the time-averaged height of the ocean surface. Auxiliary product : mean sea profile above a reference ellipsoid (T/P or WSG84). This surface is available on a regular grid (1/60°x1/60°, 1 minute). Another grid provides the estimation of error fields which represent the MSS accuracy estimated through the inverse technique.

Barystatic and manometric sea level changes represent the mass component of sea level changes at global and regional scales respectively. Barystatic and manometric sea level changes are estimated here using the sea level budget approach combining satellite altimetry with in situ measurements of the seawater temperature and salinity. This sea level budget approach is adapted from Barnoud et al., (2023). Two products are distributed over the January 1993 to December 2020 period: - Barystatic sea level changes from sea level budget with uncertainties at 1-sigma: monthly time series, - Manometric sea level changes from sea level budget with uncertainties at 1-sigma: monthly grids with 1 degree spacing.

Regional heat content change over the Atlantic Ocean with the space geodetic approach : "4DAtlantic-OHC" The Ocean Heat Content ("OHC") is estimated from the measurement of the thermal expansion of the ocean based on differences between the total sea-level content derived from altimetry measurements and the mass content derived from gravimetry data, noted “altimetry-gravimetry”. Users will be mainly interested in: - Monthly gridded Atlantic Ocean heat content change - OHC trends and their uncertainties

The Ocean Heat Content ("OHC") is estimated from the measurement of the thermal expansion of the ocean based on differences between the total sea-level content derived from altimetry measurements and the mass content derived from gravimetry data, noted “altimetry-gravimetry”. The Earth Energy Imbalance ("EEI") indicator is derived from the temporal variations of the ocean heat content, i.e. by calculating its derivative (called the ocean heat uptake). The product is delivered in two distinct files. The main one contains the essential variables like Global Ocean Heat Content, Earth Energy Imbalance time series and their relative variance-covariance matrices. The second file contains more variables than the first product like time series of Ocean Mass, Sea Level et Steric Sea Level change grids. It also includes additional variables that were not used for the Global ocean heat content calculation, such as the Global mean of ocean mass, Global mean sea level and Global mean steric sea level time series, but which may nevertheless be of interest to users. Users will therefore be able to find, among other things : - the regional map of the Ocean Heat Content trends (see image associated with this metadata sheet), - global ocean heat content change time series (representative of the globe within the extent of data availability), - earth energy imbalance time series (from global OHC filtered-out from signals lower than 3 years), - the uncertainties associated with these two datasets.

For the Global Ocean - Multimission altimeter satellite gridded sea surface heights and derived variables computed with respect to a twenty-year mean. Previously distributed by Aviso+, no change in the scientific content. All the missions are homogenized with respect to a reference mission which is currently Jason-3. The acquisition of various altimeter data is a few days at most. The sla is computed with a non-centered computation time window (6 weeks before the date).

Eddies detected in Delayed-Time (DT) for the entire period [1993 - present]. Variables provided include day-by-day, and for one rotation type (Cyclonic/Anticyclonic) : - Center position (Longitude and latitude of the center of the best fit circle with the contour of maximum circum-average geostrophic speed); - Amplitude (|SSH(local_extremum) – SSH(outermost_contour)|); - Speed radius (Radius of the best fit circle with the contour of maximum circum-average geostrophic speed); - Speed average (Average geostrophic speed of the contour defining the speed radius); - Speed profile (Profile speed average values from effective contour inwards to smallest inner contour); - Effective contour (Largest contour of the detected eddy); - Speed contour (Contour of maximum circum-average geostrophic speed for the detected eddy).

Auxiliary products - Tide elevations, Tide currents, Tide loading

Barystatic and manometric sea level changes represent the mass component of sea level changes at global and regional scales respectively. Barystatic and manometric sea level changes are estimated here using the satellite gravimetry measurements from the GRACE and GRACE-FO missions. Two products are distributed over the April 2002 to August 2022 period: - Barystatic sea level changes from satellite gravimetry with uncertainties at 1-sigma: monthly time series, - Manometric sea level changes from satellite gravimetry with uncertainties at 1-sigma: monthly grids with 1x1 degree.