节点文献

紫外通道太阳光度计的大气臭氧柱浓度反演方法研究

Research on retrieval method of atmospheric ozone column concentration from ultraviolet channel sunlight meter

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 钱聪聪; 寻丽娜; 卢慧; 吕丁勇; 张晶晶; 李新;

【Author】 QIAN Congcong;XUN Lina;LU Hui;LYU Dingyong;ZHANG Jingjing;LI Xin;School of Electrical Engineering and Automation, Anhui University;School of Artificial Intelligence, Anhui University;Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences;

【通讯作者】 寻丽娜;

【机构】 安徽大学电气工程与自动化学院; 安徽大学人工智能学院; 中国科学院合肥物质科学研究院安徽光学精密机械研究所;

【摘要】 在分析Dobson、Brewer和UV-PFR仪器的臭氧反演波段的基础上,采用Pandora全球大气监测网络在相应波段中的数据,利用单差对法和双差对法反演了大气臭氧柱浓度。将这两种方法的反演结果与Pandora自身直接反演获得的大气臭氧柱浓度进行对比分析,以寻找臭氧反演的最佳波段。结果表明,单差波长对(318 nm/332 nm)和双差波长对(311 nm/332 nm, 318 nm/332 nm)反演获得的结果具有很好的一致性,而与Pandora全球大气监测网络的直接反演值的相对平均差和相对标准差均在1%以内。本研究结果为紫外通道太阳光度计的通道优化和高精度臭氧反演提供了依据。

【Abstract】 On the basis of analyzing the ozone inversion bands of Dobson, Brewer and UV-PFR instruments, the data from the Pandora global atmospheric monitoring network in the same bands were used to invert the atmospheric ozone column density using the single-difference pair method and the double-difference pair method. In order to find the best band for ozone inversion, the inversion results of these two methods were compared with the atmospheric ozone column density retrieved from Pandora directly. The comparison results show that the inversion results using the single-difference wavelength pair(318 nm/332 nm) method and those using the double-difference wavelength pair(311 nm/332 nm, 318 nm/332 nm) method have a good consistency, while their relative mean difference and relative standard deviation with the direct inversion values from the Pandora global atmospheric monitoring network are both within 1%. The results of this study provide a basis for channel optimization of the ultraviolet channel solar photometer and high-precision ozone inversion.

【基金】 国家重点研发计划项目(2018YFB0504604)
  • 【文献出处】 大气与环境光学学报 ,Journal of Atmospheric and Environmental Optics , 编辑部邮箱 ,2025年01期
  • 【分类号】X831
  • 【下载频次】23
节点文献中: 

本文链接的文献网络图示:

本文的引文网络