Analysis of global three-dimensional aerosol structure with spectral radiance matching

<p>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 spectr...

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Main Authors: D. Liu, S. Chen, C. Cheng, H. W. Barker, C. Dong, J. Ke, S. Wang, Z. Zheng
Format: Article
Language:English
Published: Copernicus Publications 2019-12-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/12/6541/2019/amt-12-6541-2019.pdf
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spelling doaj-704aef535e28436d858fcf7afe198f442020-11-25T02:12:30ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-12-01126541655610.5194/amt-12-6541-2019Analysis of global three-dimensional aerosol structure with spectral radiance matchingD. Liu0S. Chen1C. Cheng2H. W. Barker3C. Dong4J. Ke5S. Wang6Z. Zheng7State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, ChinaEnvironment and Climate Change Canada, Toronto, ON, CanadaShanghai Institute of Satellite Engineering, Shanghai, 201109, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China<p>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 Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) lidar observations and collocated Moderate Resolution Imaging Spectroradiometer (MODIS) passive imagery for the periods 10–25 April and 14–29 September 2015. CALIPSO profiles are expanded out to 100&thinsp;km on both sides of the daytime ground track. Reliability of constructed profiles that are removed from the ground track by number of kilometers are tested by requiring the algorithm to reconstruct profiles using only profiles that are removed from it along track by more than the number of kilometers. When sufficient numbers of pixels and columns are available, the SRM method can correctly match <span class="inline-formula">∼75</span>&thinsp;% and <span class="inline-formula">∼68</span>&thinsp;% of aerosol vertical structure at distances of 30 and 100&thinsp;km from the ground track, respectively. The construction algorithm is applied to the eastern 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 atmospheric profiles and aerosol optical depth (AOD) inferred from ground-based measurements agree with those constructed by the SRM method. For profiles, the relative errors between those measured by ground-based lidar and those constructed in the surrounding area are similar to the relative errors between the ground-based station and CALIPSO overpass at the closest distance. For AOD, the measurements from the ground-based network agree with those inferred from constructed aerosol structure better than direct observations from CALIPSO and close to those inferred from MODIS radiances.</p>https://www.atmos-meas-tech.net/12/6541/2019/amt-12-6541-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Liu
S. Chen
C. Cheng
H. W. Barker
C. Dong
J. Ke
S. Wang
Z. Zheng
spellingShingle D. Liu
S. Chen
C. Cheng
H. W. Barker
C. Dong
J. Ke
S. Wang
Z. Zheng
Analysis of global three-dimensional aerosol structure with spectral radiance matching
Atmospheric Measurement Techniques
author_facet D. Liu
S. Chen
C. Cheng
H. W. Barker
C. Dong
J. Ke
S. Wang
Z. Zheng
author_sort D. Liu
title Analysis of global three-dimensional aerosol structure with spectral radiance matching
title_short Analysis of global three-dimensional aerosol structure with spectral radiance matching
title_full Analysis of global three-dimensional aerosol structure with spectral radiance matching
title_fullStr Analysis of global three-dimensional aerosol structure with spectral radiance matching
title_full_unstemmed Analysis of global three-dimensional aerosol structure with spectral radiance matching
title_sort analysis of global three-dimensional aerosol structure with spectral radiance matching
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2019-12-01
description <p>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 Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) lidar observations and collocated Moderate Resolution Imaging Spectroradiometer (MODIS) passive imagery for the periods 10–25 April and 14–29 September 2015. CALIPSO profiles are expanded out to 100&thinsp;km on both sides of the daytime ground track. Reliability of constructed profiles that are removed from the ground track by number of kilometers are tested by requiring the algorithm to reconstruct profiles using only profiles that are removed from it along track by more than the number of kilometers. When sufficient numbers of pixels and columns are available, the SRM method can correctly match <span class="inline-formula">∼75</span>&thinsp;% and <span class="inline-formula">∼68</span>&thinsp;% of aerosol vertical structure at distances of 30 and 100&thinsp;km from the ground track, respectively. The construction algorithm is applied to the eastern 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 atmospheric profiles and aerosol optical depth (AOD) inferred from ground-based measurements agree with those constructed by the SRM method. For profiles, the relative errors between those measured by ground-based lidar and those constructed in the surrounding area are similar to the relative errors between the ground-based station and CALIPSO overpass at the closest distance. For AOD, the measurements from the ground-based network agree with those inferred from constructed aerosol structure better than direct observations from CALIPSO and close to those inferred from MODIS radiances.</p>
url https://www.atmos-meas-tech.net/12/6541/2019/amt-12-6541-2019.pdf
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