The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. Since the first global re-analysis performed in 2009, the system has been extended to accommodate all types of vertical profile as well as time series. ISAS gridded fields are entirely based on in-situ measurements. The system aims at monitoring the time evolution of ocean properties for climatological studies and allowing easy computation of climate indices. A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis.

The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. The ISAS-SSS configuration provide Sea Surface Salinity gridded fields from in-situ measurements including Argo, Moorings, Marine Mammals, GOSUD Thermosalinometer SSS measurements from delayed mode SNO-SSS merchant ships (http://www.legos.obs-mip.fr/observations/sss), French research vessels (http://doi.org/10.17882/39475) and sails (http://doi.org/10.17882/39476). A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis. The ISAS-SSS fields appears as highly valuable for the "calibration and validation" of the new satellite observations delivered by SMOS, Aquarius and SMAP.

The annually binned Sea Surface Salinity, Temperature and Density data set covers a large part of the North Atlantic subpolar gyre. It is based on T and S near-surface data collected since December 1895 to August 2018 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents deviations from a climatological seasonal cycle and has furthermore been smoothed in time with a 1/4, 1/2, 1/4 running-mean filter. Density time series are estimated from those annual time series, considering winter (D-J-F) climatology. Uncertainty estimates due to sampling are also provided. Data for December 2017-August 2018 are also reported as 2018, but are temporary and should not be used without further check. Long gaps have been filled by linear interpolation, and are attributed largest error.

The gridded Sea Surface Salinity (SSS) data set covers the region between 120°E – 70°W and 30°N – 30°S in the Pacific Ocean. It is based on available data collected from 1950 to 2009 mostly from Voluntary Observing Ships, TAO/TRITON moorings and Argo profilers, with complementary hydrocasts, STD, and CTD data collected during research cruises, and subsequently validated. This monthly SSS product is gridded using an objective mapping at the spatial resolution 1° x 1°. It is distributed with its associated error fields. It is an update of the SSS product presented in Delcroix et al (2011).

The annually binned Sea Surface Salinity data set covers a large part of the Atlantic Ocean (75°W-10°E, 20°S-70°N). It is based on salinity near-surface data collected since December 1895 to 2016 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents Atlantic SSS 32 grid box anomaly and error time-series (for boxes 1 to 26, year 2016 not smoothed 1-2-1), as well as Atlantic SSS grid box coordinates and March-May mean climatology. The SSS binned time series are an update from the 1896-2013 time series (Friedman et al., 2017).

The gridded Sea Surface Salinity (SSS) data set covers the region between 95°W – 20°E and 50°N – 30°S in the Atlantic Ocean. It is based on available data collected from 1970 to 2016 mostly from Voluntary Observing Ships, PIRATA moorings and Argo profilers, and subsequently validated. This monthly SSS product is gridded using an objective mapping at the spatial resolution 1° x 1°. It is distributed with its associated error fields. It is an update of the SSS product presented in Reverdin et al (2007).

Sea Surface Salinity (SSS) is an essential climate variable that requires long term in situ observation. The French SSS Observation Service (SSS-OS) manages a network of Voluntary Observing Ships equipped with thermosalinographs (TSG) since 2002. The network is global though more concentrated in the tropical Pacific and North Atlantic oceanic basins. The acquisition system is autonomous with real time transmission and is regularly serviced at harbor calls. The high resolution data retrieved from the acquisition system during ship calls is processed through a dedicated software (freely available) for attribution of data quality flags by visual inspection, and correction of TSG time series by comparison with climatology, onboard daily water samples and collocated Argo data. Details can be found in the reference below. The validated delayed time data collected from TSG, together with some bucket samples mostly collected before 2002, are made available for educational and research purposes through an interactive web interface.

This compilation of Sea Surface Salinity data collected in the three tropical oceans (30°N–30°S) is derived mainly from 13 trans-oceanic Voluntary Observing Ships tracks and from 35 TAO/TRITON and 13 PIRATA mooring sites. Details about validation procedures can be found in the reference publication.

This product contains average 10 days & monthly salinity field based on L2P products, mixing ascending and descending orbits. ** This product is no longer available, see below **

The binned Sea Surface Salinity, Temperature and Density data set covers regularly sampled ship-of-opportunity lines. It is based on data collected from 1993 to 2018 from Voluntary Observing Ships subsequently validated. This monthly product is binned with monthly total values deviations and then deviations from climatology in each bin, with additional 1-2-1 time filter applied on the averages. Along B-AX01, some gaps were filled with additional data located one degree north or south of the grid boxes.