Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison
The aerosol fine-mode fraction (FMF) is an important optical parameter of aerosols, and the FMF is difficult to accurately retrieve by traditional satellite remote sensing methods. In this study, FMF retrieval was carried out based on the multiangle polarization data of Polarization and Anisotropy o...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00055774 2024-09-15T17:35:14+00:00 Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison Zhang, Yang Li, Zhengqiang Liu, Zhihong Wang, Yongqian Qie, Lili Xie, Yisong Hou, Weizhen Leng, Lu 2021-03 electronic https://doi.org/10.5194/amt-14-1655-2021 https://noa.gwlb.de/receive/cop_mods_00055774 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055425/amt-14-1655-2021.pdf https://amt.copernicus.org/articles/14/1655/2021/amt-14-1655-2021.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-14-1655-2021 https://noa.gwlb.de/receive/cop_mods_00055774 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055425/amt-14-1655-2021.pdf https://amt.copernicus.org/articles/14/1655/2021/amt-14-1655-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/amt-14-1655-2021 2024-06-26T04:41:37Z The aerosol fine-mode fraction (FMF) is an important optical parameter of aerosols, and the FMF is difficult to accurately retrieve by traditional satellite remote sensing methods. In this study, FMF retrieval was carried out based on the multiangle polarization data of Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from Lidar (PARASOL), which overcame the shortcomings of the FMF retrieval algorithm in our previous research. In this research, FMF retrieval was carried out in China and compared with the AErosol RObotic NETwork (AERONET) ground-based observation results, Moderate Resolution Imaging Spectroradiometer (MODIS) FMF products, and Generalized Retrieval of Aerosol and Surface Properties (GRASP) FMF results. In addition, the FMF retrieval algorithm was applied, a new FMF dataset was produced, and the annual and quarterly average FMF results from 2006 to 2013 were obtained for all of China. The research results show that the FMF retrieval results of this study are comparable with the AERONET ground-based observation results in China and the correlation coefficient (r), mean absolute error (MAE), root mean square error (RMSE), and the proportion of results that fall within the expected error (Within EE) are 0.770, 0.143, 0.170, and 65.01 %, respectively. Compared with the MODIS FMF products, the FMF results of this study are closer to the AERONET ground-based observations. Compared with the FMF results of GRASP, the FMF results of this study are closer to the spatial variation in the ratio of PM2.5 to PM10 near the ground. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 14 2 1655 1672 |
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article Verlagsveröffentlichung Zhang, Yang Li, Zhengqiang Liu, Zhihong Wang, Yongqian Qie, Lili Xie, Yisong Hou, Weizhen Leng, Lu Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison |
topic_facet |
article Verlagsveröffentlichung |
description |
The aerosol fine-mode fraction (FMF) is an important optical parameter of aerosols, and the FMF is difficult to accurately retrieve by traditional satellite remote sensing methods. In this study, FMF retrieval was carried out based on the multiangle polarization data of Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from Lidar (PARASOL), which overcame the shortcomings of the FMF retrieval algorithm in our previous research. In this research, FMF retrieval was carried out in China and compared with the AErosol RObotic NETwork (AERONET) ground-based observation results, Moderate Resolution Imaging Spectroradiometer (MODIS) FMF products, and Generalized Retrieval of Aerosol and Surface Properties (GRASP) FMF results. In addition, the FMF retrieval algorithm was applied, a new FMF dataset was produced, and the annual and quarterly average FMF results from 2006 to 2013 were obtained for all of China. The research results show that the FMF retrieval results of this study are comparable with the AERONET ground-based observation results in China and the correlation coefficient (r), mean absolute error (MAE), root mean square error (RMSE), and the proportion of results that fall within the expected error (Within EE) are 0.770, 0.143, 0.170, and 65.01 %, respectively. Compared with the MODIS FMF products, the FMF results of this study are closer to the AERONET ground-based observations. Compared with the FMF results of GRASP, the FMF results of this study are closer to the spatial variation in the ratio of PM2.5 to PM10 near the ground. |
format |
Article in Journal/Newspaper |
author |
Zhang, Yang Li, Zhengqiang Liu, Zhihong Wang, Yongqian Qie, Lili Xie, Yisong Hou, Weizhen Leng, Lu |
author_facet |
Zhang, Yang Li, Zhengqiang Liu, Zhihong Wang, Yongqian Qie, Lili Xie, Yisong Hou, Weizhen Leng, Lu |
author_sort |
Zhang, Yang |
title |
Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison |
title_short |
Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison |
title_full |
Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison |
title_fullStr |
Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison |
title_full_unstemmed |
Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison |
title_sort |
retrieval of aerosol fine-mode fraction over china from satellite multiangle polarized observations: validation and comparison |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/amt-14-1655-2021 https://noa.gwlb.de/receive/cop_mods_00055774 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055425/amt-14-1655-2021.pdf https://amt.copernicus.org/articles/14/1655/2021/amt-14-1655-2021.pdf |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-14-1655-2021 https://noa.gwlb.de/receive/cop_mods_00055774 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055425/amt-14-1655-2021.pdf https://amt.copernicus.org/articles/14/1655/2021/amt-14-1655-2021.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/amt-14-1655-2021 |
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Atmospheric Measurement Techniques |
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