4.7 Article

Assessing the Relationship between Freshwater Flux and Sea Surface Salinity

期刊

REMOTE SENSING
卷 14, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/rs14092149

关键词

freshwater flux; precipitation; evaporation; salinity budget; sea surface salinity

资金

  1. National Natural Science Foundation of China [42006005, 41821004, 41806040]

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Exploring the relationship between evaporation minus precipitation and sea surface salinity is important for understanding global hydrological cycle changes and investigating the salinity budget. This study quantifies the uncertainty in this relationship based on satellite data and finds that the variability of freshwater flux is less uncertain than sea surface salinity. The difference in product combinations can affect the correlation between salinity tendency and freshwater flux.
Exploring the relationship between evaporation (E)-minus-precipitation (P) and sea surface salinity (SSS) is vital for understanding global hydrological cycle changes and investigating the salinity budget. This study quantifies the uncertainty in the relationship between E - P and SSS based on satellite data over the 50 degrees S-50 degrees N ocean from 2012 to 2017 in 140 sets of combinations of E, P and SSS. We find that the uncertainty (10%) in the variability of freshwater flux (FWF) over 2012-2017 is smaller than that in SSS (15%). The difference in the combination of sets of E-P-SSS products can lead to the 10% difference in RMSD and 25% difference in area-weighted mean correlation coefficients between SSS tendency and FWF. There is a 24.1 similar to 58% area over the global ocean with a significant (p value < 0.05) positive correlation between the FWF and SSS tendency derived from satellite products. The seasonal EMP and SSS tendencies show larger correlation coefficients and lower RMSDs over most sets compared with those on nonseasonal time scales. Large uncertainty in the FWF-SSS tendency relation associated with spread among products prevents the use of one combination of E, P and SSS from satellite-based products for salinity budget analysis.

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