Ozone profiles without blind area retrieved from MAX-DOAS observations: methodology, validations and applications
- 1Anhui University, Information Materials and Intelligent Sensing Laboratory of Anhui Province, HeFei, China (xgji2017@mail.ustc.edu.cn)
- 2University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- 3Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Key Lab of Environmental Optics and Technology, Chinese Academy of Sciences, Hefei, China
- 4Max Planck Institute for Chemistry, Mainz, Germany
Tropospheric ozone (O3) profiles, especially within the boundary layer, are essential for studying the vertical, temporal, spatial variations, as well as the formation sensitivity and regional transport of O3. However, it is rare to find continuous tropospheric O3 profiles with high temporal and spatial resolutions without blind areas using current remote sensing technologies, with issues such as low near-surface sensitivity or systematic blind areas from satellite and LiDAR observations, respectively, being encountered. Here, multi-source data including stratospheric O3 profiles from external datasets and local monthly dependent a priori profiles were fused in the retrieval algorithm, then vertical O3 profiles from the near-surface to the free troposphere were retrieved from multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements. This study mainly includes the following three points: First, with the aim of deriving a set of best practice recommendations for applying a profile inversion algorithm to long-term observations, we comprehensively investigated the influence of various settings on profile retrieval, with emphasis on the selection of a Fraunhofer reference spectrum and appropriate a priori profiles in the upper troposphere. Secondly, tropospheric O3 profiles were retrieved for operational MAX-DOAS observations in Beijing, and the results, especially for the boundary layer, were evaluated in detail with respect to well-established independent O3 datasets, including one-year ozonesonde profiles and tower-based in-situ measurements at different altitudes. A good level of agreement was found for both near-surface and elevated-altitude results, and the MAX-DOAS O3 profiles were able to reproduce the vertical distributions measured by ozonesonde. Then, the characteristics of ozone vertical temporal variations during the pollution episode were concluded. At the meanwhile, vertical ozone formation sensitivities across the Chinese metropolis, such as Beijing, Guangzhou, etc., were studied basing on the retrieval of O3, HCHO and NO2 from MAX-DOAS observations.
How to cite: Ji, X., Liu, C., Wang, Y., Hu, Q., and Wagner, T.: Ozone profiles without blind area retrieved from MAX-DOAS observations: methodology, validations and applications, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4852, https://doi.org/10.5194/egusphere-egu23-4852, 2023.
