大气与环境光学学报, 2017, 12 (1): 22, 网络出版: 2017-02-09
基于短波红外波段吸收技术的CO2垂直柱浓度地基遥测反演方法研究
Remote Sensing Inversion Method of CO2 Vertical Column Density Based on Short Wave Infrared Absorption Technology
温室气体 加权函数修正的差分吸收光谱技术 仿真 灵敏度 greenhouse gas weighted function modified difference absorption s simulation sensitivity
摘要
温室气体引起的全球变暖、气候变化等问题已成为国际关注的热点,其中CO2是重要的温室气体之一, CO2的监测与控制已经成为各国 关注的重点。结合CO2在1.6 μm处的光谱吸收结构,利用加权函数修正的差分吸收光谱技术 (weighted function modified difference absorption spectroscopy, WFM-DOAS)研究大气中CO2垂直柱浓度 的反演方法。利用大气辐射传输模型仿真研究了不同参数对加权函数(weighted function, WF)计算灵敏度的影响,分别对观测高度、太阳天顶角、太阳方位角、 地表反照率、光谱分辨率等参数对CO2 WF系数的影响进行了详细的计算分析。并以一整天测量的太阳光为例,对仪器的性能、CO2的垂 直柱浓度及干扰气体CH4及H2O的垂直柱浓度进行了分析,初步分析得到的反演误差优于1%。
Abstract
Global warming, climate change and other issues caused by greenhouse gases have been the hotspot of international concern. CO2 is one of the important greenhouse gas, monitoring and controling of CO2 have been the focus of all countries. Based on the spectral absorption structure of CO2 in the 1.6 μm, the retrieval algorithm applied to obtain the CO2 column information from spectroscopic measurements was researched by using the weighted function modified difference absorption spectroscopy (WFM-DOAS) method. Based on atmospheric radiative transfer model, effects of the parameters on the sensitivity of the weighted function (WF) calculation were studied and simulated. The influence of different parameters on CO2 WF coefficient is calculated and analyzed in detail, including observation height, the solar zenith angle, solar azimuth, surface albedo, spectral resolution and so on. And based on the sunlight spectrum of zenith direction, the performance of the instrument, CO2 vertical column concentration and disturbance, and CH4 and H2O vertical column concentration were analyzed. And a preliminary analysis of the inversion error is better than 1%.
王汝雯, 徐晋, 李昂, 谢品华. 基于短波红外波段吸收技术的CO2垂直柱浓度地基遥测反演方法研究[J]. 大气与环境光学学报, 2017, 12(1): 22. WANG Ruwen, XU Jin, LI Ang, XIE Pinhua. Remote Sensing Inversion Method of CO2 Vertical Column Density Based on Short Wave Infrared Absorption Technology[J]. Journal of Atmospheric and Environmental Optics, 2017, 12(1): 22.