大气与环境光学学报 ›› 2021, Vol. 16 ›› Issue (3): 231-238.

• “高分五号卫星大气数据反演”专辑 • 上一篇    下一篇

高分五号卫星GMI 大气CO2 反演方法


叶函函, 王先华∗, 吴时超, 李 超, 李志伟, 施海亮, 熊 伟   


  1. 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, 中国科学院通用光学定标与表征技术重点实验室, 安徽 合肥 230031
  • 收稿日期:2020-12-16 修回日期:2021-01-29 出版日期:2021-05-28 发布日期:2021-05-28
  • 通讯作者: E-mail: xhwang@aiofm.ac.cn E-mail:xhwang@aiofm.ac.cn
  • 作者简介:叶函函 (1987 - ), 女, 安徽芜湖人, 副研究员, 主要从事温室气体卫星遥感反演研究。 E-mail: yehanhan@aiofm.ac.cn
  • 基金资助:
    Supported by National Key Research and Development Program (国家重点研发计划, 2017YFB0504000, 2017YFB0504001), The 13th Five-Year Plan Key Support Program of Hefei Institutes of Physical Science, CAS (中国科学院合肥研究院“十三五”规划重点支持项目, Y73H9P1801)

Atmospheric CO2 Retrieval Method for Satellite Observations of Greenhouse Gases Monitoring Instrument on GF-5

#br# YE Hanhan, WANG Xianhua∗, WU Shichao, LI Chao, LI Zhiwei, SHI Hailiang, XIONG Wei   

  1. Key Laboratory of Optical Calibration and Characterization , Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
  • Received:2020-12-16 Revised:2021-01-29 Published:2021-05-28 Online:2021-05-28

摘要: 二氧化碳 (CO2) 是大气中重要的温室气体, 准确掌握大气 CO2 的含量及变化可为气候变化预测及环境决策 提供支持。为满足气候研究的需求, 卫星观测大气 CO2 柱平均干空气混合比 (XCO2) 的反演精度需优于 1%。搭载于 高分五号卫星上的大气主要温室气体监测仪 GMI (Greenhouse gases monitoring instrument) 采用新型的空间外差光谱 技术, 具有超高光谱分辨率。由于超分辨率卫星观测光谱面临着大气、地表和仪器的综合影响, 故根据 GMI 仪器特征 设计了针对性的反演方法, 通过光谱信息含量的分析, 构建出用于大气 CO2 反演的信息谱以及用于背景扣除的参考 谱, 以此重建观测数据和模拟数据, 并采用最优化估计法反演大气 XCO2。该方法具备缓变背景扣除功能, 可解决空间 外差干涉型光谱的大气 CO2 反演问题。利用该反演方法对 2018 年 8 月至 2019 年 3 月的 GMI 观测数据开展反演, 并 采用碳总量观测网 12 个站点的地面大气 CO2 测量结果进行验证。验证结果表明该反演方法可稳定实现 GMI 卫星观 测数据的反演, 且 GMI 大气 XCO2 反演精度为 0.67%, 优于 1% 的应用需求。

关键词: 大气 CO2, 反演方法, 空间外差光谱, 验证

Abstract: Carbon dioxide (CO2) is one of the most important greenhouse gases in the atmosphere. Accurate understanding its content and variation in the atmosphere can provide support for climate change prediction and environmental decision-making. In order to meet the requirement of climate research, the retrieval precision of column-averaged dry-air mole fraction of CO2 (XCO2) observed by satellite should be better than 1%. The greenhouse gases monitoring instrument (GMI) onboard GF-5 used for atmospheric CO2 and CH4 observation adopts a novel spatial heterodyne spectroscopy technology, which can supply hyperspectral resolution. Considering that satellite observations with hyperspectral resolution are easily effected by atmosphere, ground surface and instrument, a retrieval method special for GMI data is designed in this work. In the method, through the analysis of spectrum information, the information spectrum for atmospheric CO2 retrieval and the reference spectrum for removal of slow frequency interference are constructed firstly, then the measurement vector and simulation vector are rebuilt based on the constructed spectra, and at last atmospheric XCO2 is retrieved by using the optimization estimation method. As the method has the ability of slow frequency interference removal, it makes retrieval of GMI spectrum possible. By using the proposed retrieval method, the GMI observations between August 2018 and March 2019 are retrieved, and the ground-based carbon dioxide measurements from twelve stations of Total Carbon Column Observing Network are used to validate the retrieval results. The validation results show that the algorithm is able to retrieve the GMI observations stably, and the retrieval precision of atmospheric CO2 is high as 0.67%, which is better than the basic requirement of 1%.

Key words: atmospheric CO2, retrieval method, spatial heterodyne spectroscopy, validation

中图分类号: