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Título: | Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies |
Autor: | Boutin, Jacqueline; Reul, Nicolás; Koehler, J.; Martin, Adrien C.H.; Catany, Rafael; Guimbard, Sébastien CSIC ORCID; Rouffi, F.; Vergely, Jean-Luc; Arias Ballesteros, Manuel CSIC ORCID ; Chakroun, M.; Corato, G.; Estella-Perez, V.; Hasson, Audrey; Josey, Simon A.; Kolodziejczyk, Nicolas; Mignot, Juliette; Olivier, L.; Reverdin, Gilles; Stammer, Detlef; Supply, A.; Thouvenin-Masson, C.; Turiel, Antonio CSIC ORCID ; Vialard, J.; Donlon, C.J.; Sabia, Roberto CSIC; Mecklenburg, S. | Fecha de publicación: | nov-2021 | Editor: | American Geophysical Union | Citación: | Journal of Geophysical Research - Part C - Oceans 126(11): e2021JC017676 (2021) | Resumen: | Sea Surface Salinity (SSS) is an increasingly used Essential Ocean and Climate Variable. The Soil Moisture and Ocean Salinity (SMOS), Aquarius, and Soil Moisture Active Passive (SMAP) satellite missions all provide SSS measurements, with very different instrumental features leading to specific measurement characteristics. The Climate Change Initiative Salinity project (CCI + SSS) aims to produce a SSS Climate Data Record (CDR) that addresses well-established user needs based on those satellite measurements. To generate a homogeneous CDR, instrumental differences are carefully adjusted based on in-depth analysis of the measurements themselves, together with some limited use of independent reference data. An optimal interpolation in the time domain without temporal relaxation to reference data or spatial smoothing is applied. This allows preserving the original datasets variability. SSS CCI fields are well suited for monitoring weekly to interannual signals, at spatial scales ranging from 50 km to the basin scale. They display large year-to-year seasonal variations over the 2010–2019 decade, sometimes by more than ±0.4 over large regions. The robust standard deviation of the monthly CCI SSS minus in situ Argo salinities is 0.15 globally, while it is at least 0.20 with individual satellite SSS fields. r2 is 0.97, similar or better than with original datasets. The correlation with independent ship thermosalinographs SSS further highlights the CCI data set excellent performance, especially near land areas. During the SMOS-Aquarius period, when the representativity uncertainties are the largest, r2 is 0.84 with CCI while it is 0.48 with the Aquarius original data set. SSS CCI data are freely available and will be updated and extended as more satellite data become available | Descripción: | 28 pages, 9 figures, 6 tables, supporting information https://doi.org/10.1029/2021JC017676.-- Data Availability Statement: SSS CCI datasets are freely available at https://catalogue.ceda.ac.uk/uuid/4ce685bff631459fb2a30faa699f3fc5. The PI-MEP MDB are freely available as NetCDF files at https://www.salinity-pimep.org/data/mdb.html; corresponding validation reports are available on https://www.salinity-pimep.org/reports/mdb.html. SMAP salinity data are produced by Remote Sensing Systems and sponsored by the NASA Ocean Salinity Science Team. Data are available at www.remss.com. Aquarius data are available at https://podaac.jpl.nasa.gov/dataset/AQUARIUS_L3_SSS_SMID_ANNUAL_V5. CATDS SSS are available at the CATDS Production Data Center (CPDC), www.catds.fr. ISAS and Glorys fields are taken from (https://catalogue.marine.copernicus.eu/; INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002 and GLOBAL-REANALYSIS-PHY-001-030 products, respectively). The GOSUD RV data set is available at https://doi.org/10.17882/39475, the ships of opportunity data set is available at http://www.legos.obs-mip.fr/observations/sss/datadelivery/dmdata. Argo data are taken from http://www.coriolis.eu.org/ | Versión del editor: | https://doi.org/10.1029/2021JC017676 | URI: | http://hdl.handle.net/10261/255692 | DOI: | 10.1029/2021JC017676 | E-ISSN: | 2169-9291 |
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