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Proceedings Paper

Quality control technology and practice for automatic observation of atmospheric optical parameters on the sea
Author(s): Di Jia; Fei Gao; Bing Han; Tongji Li; Bo Hong; Jianhua Zhu; Weiwei Li; Jun Li
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Paper Abstract

In order to ensure the reliability of satellite data, it is necessary to test the authenticity of satellite products during the operation of ocean color satellite in orbit. Therefore, it is significant to obtain accurate sea surface field data, which can provide source data for the authenticity test of satellite products. At present, the main means of acquiring data at sea in China is still large-scale voyage test on board ships. This method needs high cost and requires a lot of manual operation, and the efficiency of acquiring data is extremely limited. However, a large amount of observation data can be obtained by establishing long-term automatic observation stations at sea, and the cost is low. In this paper, the continuous observation data of atmospheric optical parameters obtained by CE318 solar photometer installed on Wenzhou offshore platform in Zhejiang Province are analyzed based on the data processing method of AERONET. Combined with the actual situation, the automatic observation data of atmospheric optical parameters at sea are qualitatively controlled and verified by satellite data. Finally, a data quality control scheme for automatic observation of atmospheric optical parameters at sea is proposed.

Paper Details

Date Published: 31 January 2020
PDF: 16 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142749 (31 January 2020); doi: 10.1117/12.2553188
Show Author Affiliations
Di Jia, National Ocean Technology Ctr. (China)
Fei Gao, National Ocean Technology Ctr. (China)
Bing Han, National Ocean Technology Ctr. (China)
Tongji Li, National Ocean Technology Ctr. (China)
Bo Hong, State Oceanic Administration (China)
Jianhua Zhu, National Ocean Technology Ctr. (China)
Weiwei Li, National Ocean Technology Ctr. (China)
Jun Li, National Ocean Technology Ctr. (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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