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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2019-182
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-182
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Jun 2019

Research article | 25 Jun 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Analysis of Global Three-Dimensional Aerosol Structure with Spectral Radiance Matching

Dong Liu1, Sijie Chen1, Chonghui Cheng1, Howard W. Barker2, Changzhe Dong3, Ju Ke1, Shuaibo Wang1, and Zhuofan Zheng1 Dong Liu et al.
  • 1State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
  • 2Environment and Climate Change Canada, Toronto, ON, Canada
  • 3Shanghai Institute of Satellite Engineering, Shanghai, 201109, China

Abstract. A method is assessed which expands aerosol vertical profiles inferred from nadir-pointing lidars to cross-track locations next to nadir columns. This is achieved via matching of passive radiances at off-nadir locations with their counterparts that are collocated with lidar data. This spectral radiance matching (SRM) method is tested using profiles inferred from CALIPSO lidar observations and collocated MODIS passive imagery for the periods 10–25 April and 14–29 September 2015. CALIPSO profiles are expanded out to 100 km on both sides of the daytime ground-track. Reliability of constructed profiles that are removed from the ground-track by N km are tested by requiring the algorithm to reconstruct profiles using only profiles that are removed from it along-track by more than N km. When sufficient numbers of pixels/columns are available, the SRM method can correctly match ~ 75 % and ~ 68 % of aerosol vertical structure at distances of 30 km and 100 km from the ground-track, respectively. The construction algorithm is applied to the east coast of Asia during spring 2015. Vertical distributions of different aerosol subtypes indicate that the region was dominated by dust and polluted dust transported from the continent. It is shown that aerosol optical depths inferred from ground-based measurements agree with those constructed by the SRM method better than direct observation from CALIPSO, and close to those inferred from MODIS radiances.

Dong Liu et al.
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Short summary
Aerosols are one of the drivers of climate change and more information about aerosol vertical distribution is needed to analysis the role of aerosols in the atmosphere. In this work, we match-and-substitute a pixel along the lidar ground-track for every pixel that's not on the track based on the radiance measured by passive imager, therefore expanding the atmosphere profiles to nearby region. The accuracy of the construct results is confirmed through process mimicking the construction.
Aerosols are one of the drivers of climate change and more information about aerosol vertical...
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