| 郑小慎,张亚男,刘雨华.基于 GOCI数据黄海气溶胶光学厚度反演方法研究[J].海洋通报,2020,(1):94-100 |
| 基于 GOCI数据黄海气溶胶光学厚度反演方法研究 |
| Research on inversion method of aerosol optical depth over the Yellow Sea based on GOCI data |
| 投稿时间：2019-04-08 修订日期：2019-08-27 |
| DOI： |
| 中文关键词: 气溶胶光学厚度 黄海 GOCI数据 |
| 英文关键词:aerosol optical depth Yellow Sea GOCI data |
| 基金项目:天津市科委自然科学基金 （19JCYBJC23600） |
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| 中文摘要: |
| 气溶胶是研究大气辐射收支的重要参数，确定气溶胶光学特性对于研究气候变化和实现卫星定量遥感有重要意义。针对黄海上空气溶胶反演时存在下垫面背景受到内陆河流巨大影响及吸收性气溶胶干扰的问题，本文提出了一种基于 GOCI数据的气溶胶光学厚度反演新算法，利用 AERONET数据对比分析了黄海上空气溶胶光学厚度的反演精度，结果表明该算法能较好地反演气溶胶光学厚度，相比业务化算法具有较高的反演精度。 |
| 英文摘要: |
| Aerosol is an important parameter in the study of atmospheric radiation budget. It is important to determine aerosol optical characteristics for studying climate change and realizing quantitative satellite remote sensing. Aiming at solving the problem that the background of underlying surface is greatly affected by inland rivers and the interference of absorbent aerosols in the inversion of aerosols over the Yellow Sea, a new aerosol optical depth inversion algorithm based on GOCI data is proposed in this paper. Based on AERONET data, the inversion accuracy of aerosol optical depth over the Yellow Sea is analyzed. The results show that this algorithm can retrieve aerosol optical depth well, and has higher inversion precision than the operational algorithm. |
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