These gridded products are produced from the along-track (or Level-3) SEA LEVEL products (DOI: doi.org/10.48670/moi-00147) delivered by the Copernicus Marine Service (CMEMS, marine.copernicus.eu) for satellites SARAL/AltiKa, Cryosat-2, HaiYang-2B, Jason-3, Copernicus Sentinel-3A&B, Sentinel 6A, SWOT nadir, and SWOT Level-3 KaRIn sea level products (DOI: https://doi.org/10.24400/527896/A01-2023.018). Three mapping algorithms are proposed: MIOST, 4DvarNET, 4DvarQG: - the MIOST approach which give the global SSH solutions: the MIOST method is able of accounting for various modes of variability of the ocean surface topography (e.g., geostrophic, barotrope, equatorial waves dynamic …) by constructing several independent components within an assumed covariance model. - the 4DvarNET approach for the regional SSH solutions: the 4DvarNET mapping algorithm is a data-driven approach combining a data assimilation scheme associated with a deep learning framework. - the 4DvarQG approach for the regional SSH solutions: the 4DvarQG mapping technique integrates a 4-Dimensional variational (4DVAR) scheme with a Quasi-Geostrophic (QG) model. References: - Ballarotta, M., Ubelmann, C., Bellemin-Laponnaz, V., Le Guillou, F., Meda, G., Anadon, C., Laloue, A., Delepoulle, A., Faugère, Y., Pujol, M.-I., Fablet, R., and Dibarboure, G., 2024: Integrating wide swath altimetry data into Level-4 multi-mission maps, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-2345 - Beauchamp, M., Febvre, Q., Georgenthum, H., and Fablet, R., 2023: 4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry, Geosci. Model Dev., 16, 2119–2147, https://doi.org/10.5194/gmd-16-2119-2023 - Fablet, R., Beauchamp, M., Drumetz, L., and Rousseau, F., 2021: Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields, Front. Appl. Math. Stat., 7, 655224, https://doi.org/10.3389/fams.2021.655224 - Le Guillou, F., Metref, S., Cosme, E., Ubelmann, C., Ballarotta, M. Le Sommer, J. Verron, J., 2021: Mapping Altimetry in the Forthcoming SWOT Era by Back-and-Forth Nudging a One-Layer Quasigeostrophic Model, J. Atmos. Oceanic Technol., 38, 697–710, https://doi.org/10.1175/JTECH-D-20-0104.1 - Ubelmann, C., Dibarboure, G., Gaultier, L., Ponte, A., Ardhuin, F., Ballarotta, M., & Faugère, Y., 2021: Reconstructing ocean surface current combining altimetry and future spaceborne Doppler data. Journal of Geophysical Research: Oceans, 126, e2020JC016560. https://doi.org/10.1029/2020JC016560

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).

Monomission altimeter product: OSTM/Jason-2. These products were produced by CLS in the framework of the Pistach project, funded by Cnes.

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.

The CTOH computes and distributes specific, coastal along-track sea level anomalies (SLA) using its X-TRACK processor over 23 regions, for all precise altimeter missions : Topex/Jason-1/Jason-2/Jason-3 (+Topex Interleaved orbit (TPN)/Jason-1 Interleaved orbit (J1N)), SARAL/AltiKa, Envisat, Geosat Follow On The CTOH computes and distributes specific, coastal along-track sea level anomalies (SLA) using its X-TRACK processor for all precise altimeter missions : Topex/Poseidon (TP), Jason-1 (J1) , Jason-1 interleaved (J1N), Topex/Poseidon interleaved (TPN), Jason-2, Geosat Follow on (GFO) and Envisat. X-TRACK cover today all the coastal oceans, with 23 new regions.

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.

Multimission altimetry-derived gridded from Ssalto/Duacs products backward-in-time Finite Size Lyapunov Exponents and Orientations of associated eigenvectors

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).

Product of simulated SWOT sea surface heights from its 2 altimeters: KaRIn interferometric altimeter and Nadir altimeter. This product includes the Level-2 Low Rate (LR) data (L2_LR_SSH) designed for ocean surfaces and Level-2 and Level-3 SSH corrected by estimations of simulated errors.