Quality weighting in gridding Aquarius sea surface salinity

Yanyan Li; Qing Dong; Yongzheng Ren; Yiqiang Hu; Fanping Kong; Zi Yin

doi:10.1117/12.2535580

14 October 2019 Quality weighting in gridding Aquarius sea surface salinity

Yanyan Li, Qing Dong, Yongzheng Ren, Yiqiang Hu, Fanping Kong, Zi Yin

Author Affiliations +

Proceedings Volume 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019; 111501T (2019) https://doi.org/10.1117/12.2535580
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

Aquarius is a satellite designed for measuring sea surface salinity (SSS). The Aquarius measurements may be influenced by marine environmental factors. The result is the inconsistency of data quality under different conditions. Although the data qualities have been considered in some previous studies, they have only been used for data screening. Base on this, a quality weighting method is proposed in this paper. The key differences between our method and traditional method, is way of weighting the data. In the present paper, both distance and data quality are considered in the weighting process. After the weight is determined, the weighted average fitting (WAF) method is used to calculate the grid SSS value. Then weekly 0.25°×0.25°gridded SSS fields between 40°S and 40°N are generated, covering the period from September 2011 through May 2015. The error statistics are calculated and the result shows that the root-mean squared difference (RMSD) is about 0.18 psu, which can improve the accuracy by about 31%. Therefore the method proposed in this paper could improve the precise of SSS filed with higher temporal and spatial resolution significantly.

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Yanyan Li, Qing Dong, Yongzheng Ren, Yiqiang Hu, Fanping Kong, and Zi Yin "Quality weighting in gridding Aquarius sea surface salinity", Proc. SPIE 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, 111501T (14 October 2019); https://doi.org/10.1117/12.2535580

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KEYWORDS

Contamination

Error analysis

Satellites

Statistical analysis

Data processing

Earth observing sensors

Profiling

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