seanoe:73142 data@seanoe.org 2026-01-29 ISO 19115:2003/19139 1.0 SSS SMOS/SMAP OI L4 maps 2025-12-06 2026-01-29 Kolodziejczyk Nicolas, Hamon Mathieu, Boutin Jacqueline, Vergely Jean-Luc, Supply Alexandre, Reverdin Gilles (2025). SSS SMOS/SMAP OI L4 maps. SEANOE. https://doi.org/10.17882/73142 In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication : Kolodziejczyk Nicolas, Hamon Michel, Boutin Jacqueline, Vergely Jean-Luc, Reverdin Gilles, Supply Alexandre, Reul Nicolas (2021). Objective analysis of SMOS and SMAP Sea Surface Salinity to reduce large scale and time dependent biases from low to high latitudes. Journal Of Atmospheric And Oceanic Technology, 38(3), 405-421. . https://doi.org/10.1175/JTECH-D-20-0093.1 15 years of L-Band remote sensing Sea Surface Salinity (SSS) measurements have proven the capability of satellite SSS to resolve large scale to mesoscale SSS features in tropical to subtropical ocean. In mid to high latitude, L-Band measurements still suffer from large scale and time varying biases. Here, a simple method is proposed to mitigate the large scale and time varying biases. First, in order to estimate these biases, an Optimal Interpolation (OI) using a large correlation scale is used to map SMOS and SMAP L3 products and is compared to equivalent mapping of in situ observations. Then, a second mapping is performed on corrected SSS at scale of SMOS/SMAP resolution (~45 km). This procedure allows to correct and merge both products, and to increase signal to noise ratio of the absolute SSS estimates. Using thermodynamic equation of state (TEOS-10), the resulting L4 SSS product is combined with microwave satellite SST products to produce sea surface density and spiciness, useful to fully characterize the surface ocean water masses. The new L4 SSS products is validated against independent in situ measurements from low to high latitudes. The L4 products exhibits a significant improvement in mid-and high latitude in comparison to the existing SMOS and SMAP L3 products. The SMOS/SMAP OI L4 maps was provided and supported by the CNES CATDS and CNES TSOSCA SMOS OCEAN project. KOLODZIEJCZYK Nicolas University of Brest, LOPS Laboratory, IUEM, UBO-CNRS-IRD-Ifremer, rue Dumont D’Urville, Plouzané, 29280F Hamon Mathieu University of Brest, LOPS Laboratory, IUEM, UBO-CNRS-IRD-Ifremer, rue Dumont D’Urville, Plouzané, 29280F Boutin Jacqueline Sorbonne Universite, LOCEAN UMR 7159 UPMC CNRS IRD MNHN, F-75005 PARIS, France Vergely Jean-Luc ACRI-st, Guyancourt, France Supply Alexandre Sorbonne Universite, LOCEAN UMR 7159 UPMC CNRS IRD MNHN, F-75005 PARIS, France Reverdin Gilles Sorbonne Universite, LOCEAN UMR 7159 UPMC CNRS IRD MNHN, F-75005 PARIS, France SEANOE https://www.seanoe.org/data/00619/73142/illustration.gif Sea Surface Salinity SMOS SMAP Sea Surface Density Sea Surface Spiciness Sea Surface Temperature ISAS Argo Physical oceanography Physical oceanography SeaDataNet Parameter Disciplines 2025-07-29 geonetwork.thesaurus.external.parameter.NVS.P08 CDS-CERSAT Centre de données ODATIS 2026-01-19 geonetwork.thesaurus.local.theme.odatis_centre_donnees SNO-SSS National Services Observation 2025-12-09 geonetwork.thesaurus.local.theme.SNO /Observational data/in-situ Type de jeux de donnée ODATIS 2025-12-09 geonetwork.thesaurus.local.theme.type_jeux_donnee CC0 (Creative Commons - Transfer into public domain) The data are provided as it. The provider takes no responsability of the data usage. Nutrient and arsenic biogeochemistry of Sargassum in the western Atlantic 2023 Springer Science and Business Media LLC McGillicuddy Dennis Joseph Morton Peter Lynn Brewton Rachel Aileen Hu Chuanmin Kelly Thomas Bryce Solow Andrew Robert Lapointe Brian Edward 10.1038/s41467-023-41904-4 Objective analysis of SMOS and SMAP Sea Surface Salinity to reduce large scale and time dependent biases from low to high latitudes 2021 American Meteorological Society KOLODZIEJCZYK NICOLAS HAMON MICHEL BOUTIN JACQUELINE VERGELY JEAN-LUC REVERDIN GILLES SUPPLY ALEXANDRE REUL NICOLAS 10.1175/JTECH-D-20-0093.1 Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) 2025 SEANOE Argo 10.17882/42182 SMOS SSS L3 maps generated by CATDS CEC LOCEAN. debias V8.0 2023 SEANOE Boutin Jacqueline Vergely Jean-Luc Khvorostyanov Dmitry Supply Alexandre 10.17882/52804 ISAS temperature, salinity, dissolved oxygen gridded fields 2023 SEANOE Kolodziejczyk Nicolas Prigent-Mazella Annaig Gaillard Fabienne 10.17882/52367 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V4.0 Validated Dataset 2019 NASA Physical Oceanography Distributed Active Archive Center Remote Sensing Systems 10.5067/smp40-3spcs GHRSST Level 3U Global Subskin Sea Surface Temperature version-8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite 2017 NASA Physical Oceanography Distributed Active Archive Center Remote Sensing Systems 10.5067/gham2-3ur8a ISAS-13 temperature and salinity gridded fields 2015 SEANOE Gaillard Fabienne 10.17882/45945 GHRSST Level 4 ODYSSEA Global Foundation Sea Surface Temperature Analysis 2007 NASA Physical Oceanography Distributed Active Archive Center IFREMER/CERSAT 10.5067/ghgoy-4fe01 oceans -180.0 180.0 -89.0 89.0 2010 2024 NC, NETCDF https://www.seanoe.org/data/00619/73142/#124652 WWW:DOWNLOAD-1.0-link--download Quality controlled data 2010-2024 data - 22 GB https://www.seanoe.org/data/00619/73142/ WWW:DOWNLOAD-1.0-link--download Processed data 2011-2018 data [RESTRICTED] - 11 GB https://doi.org/10.17882/73142 WWW:LINK-1.0-http--metadata-URL DOI of the product https://www.seanoe.org/data/00619/73142/ rel-canonical Seanoe