Journal of Marine Sciences ›› 2018, Vol. 36 ›› Issue (4): 17-27.DOI: 10.3969/j.issn.1001-909X.2018.04.003

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Study on effective resolutions of remotely sensed reanalysis products of sea surface salinity

CHEN Jian1,2, CHENG Rui1,2, LIU Juan1,2, WANG Hui-zan3, BAO Sen-liang3, YAN Heng-qian3   

  1. 1. Beijing Institute of Applied Meteorology, Beijing 100029, China;
    2. State Key Laboratory of Geo-Information Engineering, Xi’an 710054, China;
    3. Institute of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
  • Received:2018-05-03 Revised:2018-05-30 Online:2018-12-15 Published:2022-11-18

Abstract: The effective resolutions of six remotely sensed reanalysis products of sea surface salinity(SSS) from the soil moisture and ocean salinity (SMOS) and Aquarius/SAC-D missions were studied, in terms of the qualitative map, zonal wavenumber spectra, and root mean square (RMS) error. The mechanisms behind their differences also are studied. It suggests that the CATDS-0.25° reanalysis is unable to capture the small-scale structures in SSS and performs the worst in representing spatial variability in SSS. Its higher spectral energy is mostly a reflection of noises in the tropics while those in regions such as along the western boundary flows are signals. The BEC-L3-0.25° reanalysis, which has small RMS errors, clear salinity maps, and remarkable mesoscale energy, is the best fit for portraying mesoscale (25-100 km) SSS features. The SSS in the BEC-L4-0.25° reanalysis is overly attenuated by its singularity analysis remapping method. The Aquarius-V2-1.00° reanalysis, with an additional smoothing procedure, performs well in depicting large-scale (>100 km) salinity phenomena. The Aquarius-CAP-1.00° reanalysis generates the smallest RMS errors benefiting from its combined active-passive (CAP) algorithm, however, and leads to a somewhat noisy, artificial pattern with unreasonable along-track strips. The CATDS-1.00° reanalysis is roughly equivalent to the Aquarius-V2-1.00° in terms of pattern, energy, and error features.

Key words: SMOS, Aquarius, sea surface salinity, remotely sensed reanalysis product, effective resolution

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