Advances in satellite microwave remote sensing have demonstrated an unprecedented capability to observe global ocean sea surface salinity (SSS) from space since 2009. Satellite-based SSS observations provide a unique monitoring capability for the interfacial water exchanges between the atmosphere and the upper ocean, as well as salinity redistribution due to climate and global water cycle variability, and land-ocean interactions.
Satellite measurements of sea surface salinity (SSS) started in November 2009 with the Soil Moisture and Ocean Salinity (SMOS) mission launched by the European Space Agency (ESA). The Aquarius/SAC-D, launched in June 2011 by NASA and the Argentinean Space Agency (CONAE), was the first satellite mission designed to measure SSS. Meanwhile, the Soil Moisture Active and Passive (SMAP) was launched by NASA in January 2015, and it provides SSS as a derived product. SMAP is configured with a larger swath coverage, providing a higher spatial resolution (~40 km) than that (~100 km) in Aquarius.
Satellite remote sensing of SSS encounters many challenges, such as contamination of microwave signals near coastal areas or dependance of SSS accuracy on the quality of temperature and wind speed measurements. As such, the satellite-derived SSS data needs to be validated against in-situ measurements.
Here we used in-situ measurements of salinity and temperature from ARGO data for three oceanic basins i.e., Bay of Bengal (BOB), South China Sea (SCS), and Western North Pacific Ocean (WNPAC). The ARGO data from Sep 2011 to Dec 2022 were utilized for analysis due to the consistency of the period with the available satellite-derived salinity data. The number of ARGO profiles varies significantly among these three oceanic basins with the largest profiles available in the WNPAC and the least number of profiles in the SCS.
ARGO SSS climatology, although available at a coarser resolution than the satellite-derived SSS, captured the spreading of the low salinity water in the BOB during Oct-Dec. This feature is consistent with the satellite-derived SSS spatial distribution. For the BOB, the agreement between ARGO and satellite SSS data is reasonably good with an RMSE of 0.58 psu. In comparison, the SCS and WNPAC achieve RMSE of 0.22 psu and 0.14 psu, respectively. It should be noted that the number of near-surface ARGO observations is much higher in the WNPAC (37,207) compared to that in the BOB (15,305) and in the SCS (9,722) from Sep 2011 to Dec 2022. The BOB reveals strong seasonality and the largest variation in SSS from ~25-35 psu. Whereas, the SCS and WNPAC recorded variations in the range ~32-35 psu. The SCS and WNPAC exhibit freshening and salinification in specific years. The monthly mean SSS from ARGO and satellite data are highly correlated and show consistent variation in salinity in all three oceanic basins. Therefore, the satellite-derived SSS data could provide great insight for understanding ocean dynamics, circulation, water cycle, and could be useful for validating ocean models.