96d932e6-07d0-447f-858a-90ff1ce53087 2026-03-31T14:14:40.707071Z ISO 19115-3:2018 - Remote Sensing 1.0 http://www.opengis.net/def/crs/EPSG/0/4326 Experimental Products: Multimission Gridded (with SWOT) Level-4 Sea Surface Heights and Velocities 2024-06-11 publication A01-2024.007 1.0 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-6 MF, 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. CDS-AVISO completed CDS-AVISO distributor CNES funder AVISO Helpdesk aviso@altimetry.fr pointOfContact CNES/CLS originator https://sextant.ifremer.fr/geonetwork/srv/api/records/96d932e6-07d0-447f-858a-90ff1ce53087/attachments/dc_2024_ose_karin.png Example of geostrophic current reconstruction on 2023-08-31 with MIOST at a) global scale, b) view from Karin L3 products over the Agulhas region, c) from MIOST reconstruction integration 1SWOT and 6 nadirs, d) from MIOST reconstruction integration 6 nadirs and e) the difference in MIOST reconstructions between integration 1 SWOT and 6 nadirs vs. 6 nadirs only. Credits: CNES/CLS. CDS-AVISO Centre de données ODATIS 2026-01-19 publication geonetwork.thesaurus.local.theme.odatis_centre_donnees Variables ODATIS 2024-10-14 lastUpdate geonetwork.thesaurus.local.theme.odatis_variables /Observational data/satellite Type de jeux de donnée ODATIS 2025-12-09 publication geonetwork.thesaurus.local.theme.type_jeux_donnee Level 4 Processing level 2024-07-26 publication 2024-07-26 publication geonetwork.thesaurus.local.processing-level.myocean.processing-level Currents Sea surface height ODATIS aggregation parameters and Essential Variable names 2025-07-29 publication 2025-07-29 publication geonetwork.thesaurus.external.theme.NVS.OD1 /Sea Surface Topography/Sea Surface Height /Ocean Circulation/Ocean Currents Cersat - GCMD parameter 2024-01-04 publication geonetwork.thesaurus.external.theme.GCMDparameter Type de jeux de donnée ODATIS 2025-12-09 publication geonetwork.thesaurus.local.theme.type_jeux_donnee Licence ouverte Licence Ouverte "The Multimission Gridded (MIOST with SWOT) Level-4 Sea Surface Heights and Velocities Experimental Product is processed by SSALTO/DUACS and freely distributed by AVISO". CNES, & CLS. (2025). Experimental Multimission Gridded (MIOST with SWOT) Level-4 Sea Surface Heights and Velocities (Version 1.0) [Data set]. CNES. https://doi.org/10.24400/527896/a01-2004.007”. grid 0.25 utf8 oceans -180.00 180.00 -80.00 90.00 2023-03-28 2024-07-01 L4 NetCDF https://www.aviso.altimetry.fr/fileadmin/documents/data/tools/hdbk_duacs_experimental_miost_4dvarnet_4dvarqg_swot.pdf WWW:LINK Manuel utilisateur Manuel utilisateur https://tds-odatis.aviso.altimetry.fr/thredds/wms/dataset-duacs-experimental-dt-phy-grids-nadirs-and-wide-swath/v1.0/miost/calval/dt_global_allsat_phy_l4_20230328_20240912.nc?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS SLA (1 seule date ici) sea_surface_height_above_sea_level https://doi.org/10.5194/os-21-63-2025 WWW:LINK-1.0-http--publication-URL Main publication link 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.: Integrating wide-swath altimetry data into Level-4 multi-mission maps, Ocean Sci., 21, 63–80, 2025 https://doi.org/10.5194/gmd-16-2119-2023 WWW:LINK-1.0-http--publication-URL Main publication link 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/10.3389/fams.2021.655224 WWW:LINK-1.0-http--publication-URL Main publication link 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/10.1175/JTECH-D-20-0104.1 WWW:LINK-1.0-http--publication-URL Main publication link 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/10.1029/2020JC016560 WWW:LINK-1.0-http--publication-URL Main publication link 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://tds-odatis.aviso.altimetry.fr/thredds/catalog/dataset-duacs-experimental-dt-phy-grids-nadirs-and-wide-swath/v1_0/catalog.html WWW:LINK L4_with_SWOT THREDDS https://www.odatis-ocean.fr/donnees-et-services/acces-aux-donnees/catalogue-complet#/metadata/a57da16f-330a-4927-b532-ca013b6c83da WWW:LINK-1.0-http--publication-URL Experimental Products: Multimission Gridded (with SWOT, MIOST only) Level-4 Sea Surface Heights and Velocities Experimental Products: Multimission Gridded (with SWOT, MIOST only) Level-4 Sea Surface Heights and Velocities https://doi.org/10.24400/527896/A01-2024.007 DOI Digital Object Identifier (DOI) Les données d'entrée utilisées pour le calcul des produits grillés "Multiscale Interpolation Ocean Science Topography" (MIOST) sont les produits SEA LEVEL le long de la trace (ou Level-3) CMEMS avec les satellites OSTM/Jason-2, Jason-3, SARAL/AltiKa, Cryosat-2, HaiYang-2A, Copernicus Sentinel-3A&B. L'interpolation multi-échelles (MIOST) combine les données d'altimétrie océanique le long de la trace en grilles continues dans le temps et l'espace. Comme le système de cartographie DUACS, il est basé sur un schéma d'interpolation optimale linéaire, avec un niveau différent de définition des fonctions de covariance. Pour ce produit expérimental, seules les fonctions de covariance représentatives de la variabilité géostrophique à méso-échelle ont été prises en compte. Références pour les produits grillés calculés par interpolation multi-échelles (MIOST) - Ubelmann et al, 2021: Reconstructing Ocean Surface Current Combining Altimetry and Future Spaceborne Doppler Data, JGR Oceans, DOI: https://doi.org/10.1029/2020JC016560 - Ubelmann, C. et al. : Simultaneous estimation of Ocean mesoscale and coherent internal tide Sea Surface Height signatures from the global Altimetry record, Ocean Sci. Discuss. [preprint], https://doi.org/10.5194/os-2021-80 in review, 2021.