Vertical Profiles of Tropospheric Ozone From MAX-DOAS Measurements During the CINDI-2 Campaign: Part 1-Development of a New Retrieval Algorithm

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES(2018)

引用 22|浏览52
暂无评分
摘要
Ground-based measurements of tropospheric ozone (O-3) are valuable for studies of atmospheric chemistry, air pollution, climate change, and for satellite validation. The Multi Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) technique has been widely used to derive vertical profiles of trace gases and aerosols in the troposphere. However, tropospheric O-3 has not yet been satisfactorily derived from MAX-DOAS measurements due to the influence of stratospheric O-3 absorption. In this study, we developed two new retrieval approaches for tropospheric O-3 from MAX-DOAS measurements. In method 1, stratospheric O-3 profiles from external data sources are considered in the retrieval. In method 2, stratospheric and tropospheric O-3 are separated based on the temperature-dependent differences between tropospheric and stratospheric O-3 absorption structures in the UV spectral range. The feasibility of both methods is first verified by applying them to synthetic spectra. Then they are applied to real MAX-DOAS measurements recorded during the CINDI-2 campaign in Cabauw, the Netherlands (September 2016). The obtained results are compared with independent O-3 measurements and global chemical transport model simulations. Good agreement of the near-surface O-3 concentrations with the independent data sets is found for both methods. However, tropospheric O-3 profiles are only reasonably derived using method 1, while they are significantly overestimated at altitudes above 1km using method 2, probably due to the approximation of the ring spectra used to correct the rotational Raman scattering structures in the DOAS fit. Advantages and disadvantages of both methods are discussed and improvement directions are suggested for further studies.
更多
查看译文
关键词
tropospheric ozone,vertical profile,MAX-DOAS
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要