Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance
The lack of aerosol type information has largely hindered satellite products from further applications such as constraining model simulations and quantifying aerosol climate effects. The recent Version (V) 23 Multi‐angle Imaging Spectroradiometer (MISR) aerosol products with an enhanced spatial reso...
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ftdatacite:10.13016/m2v6rl-izz8 2023-05-15T13:06:30+02:00 Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance Tao, Minghui Wang, Jun Li, Rong Chen, Liangfu Xu, Xiaoguang Wang, Lunche Tao, Jinhua Wang, Zifeng Xiang, Juan 2020 https://dx.doi.org/10.13016/m2v6rl-izz8 http://mdsoar.org/handle/11603/19369 unknown American Geophysical Union Access to this item will begin on 2020-12-01 ©2020. American Geophysical Union. All Rights Reserved This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. CreativeWork article 2020 ftdatacite https://doi.org/10.13016/m2v6rl-izz8 2021-11-05T12:55:41Z The lack of aerosol type information has largely hindered satellite products from further applications such as constraining model simulations and quantifying aerosol climate effects. The recent Version (V) 23 Multi‐angle Imaging Spectroradiometer (MISR) aerosol products with an enhanced spatial resolution at 4.4 km enable an unprecedented chance to explore aerosol types and associated processes in the regional scale. Here we provide a comprehensive insight into the characterization of MISR aerosol optical and microphysical properties, as well as their performance, over East Asia. Ground validation shows a remarkable improvement in the accuracy of V23 MISR aerosol optical depth (AOD) with ~80% of its retrieval bias within ±(0.05 + 20%AODAERONET). However, an underestimation of MISR AOD is still prevalent in the high‐AOD (>0.6) conditions, due to the surface‐atmosphere separation problem and insufficient absorbing aerosol mixtures being selected. MISR AOD of different size bins agrees well with AErosol RObotic NETwork (AERONET) results, demonstrating an evident advantage in discriminating natural dust from anthropogenic particles. Although MISR nonspherical and absorbing retrievals display a consistent variation with the AERONET inversions, their component AODs have a poor reliability over East Asia due to the inappropriate aerosol component models or their mixtures as in V22. In particular, the most striking problem is the sparse and discrete MISR absorbing retrievals with spatial discontinuity. Generally, the high‐resolution V23 MISR products exhibit a great potential in characterizing the regional variations of aerosol type, which can be further refined by considering the prior aerosol knowledge over East Asia. Article in Journal/Newspaper Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) |
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The lack of aerosol type information has largely hindered satellite products from further applications such as constraining model simulations and quantifying aerosol climate effects. The recent Version (V) 23 Multi‐angle Imaging Spectroradiometer (MISR) aerosol products with an enhanced spatial resolution at 4.4 km enable an unprecedented chance to explore aerosol types and associated processes in the regional scale. Here we provide a comprehensive insight into the characterization of MISR aerosol optical and microphysical properties, as well as their performance, over East Asia. Ground validation shows a remarkable improvement in the accuracy of V23 MISR aerosol optical depth (AOD) with ~80% of its retrieval bias within ±(0.05 + 20%AODAERONET). However, an underestimation of MISR AOD is still prevalent in the high‐AOD (>0.6) conditions, due to the surface‐atmosphere separation problem and insufficient absorbing aerosol mixtures being selected. MISR AOD of different size bins agrees well with AErosol RObotic NETwork (AERONET) results, demonstrating an evident advantage in discriminating natural dust from anthropogenic particles. Although MISR nonspherical and absorbing retrievals display a consistent variation with the AERONET inversions, their component AODs have a poor reliability over East Asia due to the inappropriate aerosol component models or their mixtures as in V22. In particular, the most striking problem is the sparse and discrete MISR absorbing retrievals with spatial discontinuity. Generally, the high‐resolution V23 MISR products exhibit a great potential in characterizing the regional variations of aerosol type, which can be further refined by considering the prior aerosol knowledge over East Asia. |
format |
Article in Journal/Newspaper |
author |
Tao, Minghui Wang, Jun Li, Rong Chen, Liangfu Xu, Xiaoguang Wang, Lunche Tao, Jinhua Wang, Zifeng Xiang, Juan |
spellingShingle |
Tao, Minghui Wang, Jun Li, Rong Chen, Liangfu Xu, Xiaoguang Wang, Lunche Tao, Jinhua Wang, Zifeng Xiang, Juan Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance |
author_facet |
Tao, Minghui Wang, Jun Li, Rong Chen, Liangfu Xu, Xiaoguang Wang, Lunche Tao, Jinhua Wang, Zifeng Xiang, Juan |
author_sort |
Tao, Minghui |
title |
Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance |
title_short |
Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance |
title_full |
Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance |
title_fullStr |
Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance |
title_full_unstemmed |
Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance |
title_sort |
characterization of aerosol type over east asia by 4.4 km misr product: first insight and general performance |
publisher |
American Geophysical Union |
publishDate |
2020 |
url |
https://dx.doi.org/10.13016/m2v6rl-izz8 http://mdsoar.org/handle/11603/19369 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_rights |
Access to this item will begin on 2020-12-01 ©2020. American Geophysical Union. All Rights Reserved This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. |
op_doi |
https://doi.org/10.13016/m2v6rl-izz8 |
_version_ |
1766008397084229632 |