Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm
Aerosol spatial distribution obtained from satellite sensors is critical for understanding regional aerosol environments, anthropogenic aerosol emissions, and global climate change. The Directional Polarimetric Camera (DPC) is the first generation of multi-angle polarized sensor developed by China....
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00062041 2023-05-15T13:06:54+02:00 Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm Jin, Shikuan Ma, Yingying Chen, Cheng Dubovik, Oleg Hong, Jin Liu, Boming Gong, Wei 2022-07 electronic https://doi.org/10.5194/amt-15-4323-2022 https://noa.gwlb.de/receive/cop_mods_00062041 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061377/amt-15-4323-2022.pdf https://amt.copernicus.org/articles/15/4323/2022/amt-15-4323-2022.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-15-4323-2022 https://noa.gwlb.de/receive/cop_mods_00062041 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061377/amt-15-4323-2022.pdf https://amt.copernicus.org/articles/15/4323/2022/amt-15-4323-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/amt-15-4323-2022 2022-07-31T23:11:40Z Aerosol spatial distribution obtained from satellite sensors is critical for understanding regional aerosol environments, anthropogenic aerosol emissions, and global climate change. The Directional Polarimetric Camera (DPC) is the first generation of multi-angle polarized sensor developed by China. It is on-board the GaoFen-5 satellite, running in 705 km sun-synchronous orbit with a 13:30 LT (local time) ascending node. The sensor has three polarized channels at 490, 670, and 865 nm and ∼ 9 viewing angles, mainly used for observing aerosols. The spatial resolution is ∼ 3.3 km at nadir, and global coverage is ∼ 2 d. In this study, the performance of aerosol optical depth (AOD) retrievals from the DPC/GaoFen-5 using the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) algorithm were evaluated on a global basis for the first time. The results showed that the DPC GRASP/Model scheme, which used several forms of aerosol-type mixing, achieved good performance. By comparing with Aerosol Robotic Network (AERONET) observations, the correlation coefficient (R), root-mean-square error (RMSE), and expected error (EE%, ± ( 0.05+0.15×AOD)) were 0.9007 %, 0.0662 %, and 82.54 %, respectively. The scattering angle, number of averaged pixels, length of time steps, and radiative and polarized fitting residuals showed impacts on the results of AOD retrieval in the DPC GRASP/Model scheme. From the most AERONET sites, the R and EE% were larger than ∼ 0.9 % and ∼ 80%. Compared with Moderate resolution Imaging Spectroradiometer (MODIS) products, the spatial and temporal variations of aerosol could be caught by the DPC with the GRASP/Model scheme, showing a good performance. However, values of AOD were also underestimated by DPC, probably due to an overly strict cloud mask. The above findings validated the ability of the DPC sensor to monitor aerosols. It should contribute to the development of aerosol parameter retrieval from multi-angle polarized sensors in the future. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 15 14 4323 4337 |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Jin, Shikuan Ma, Yingying Chen, Cheng Dubovik, Oleg Hong, Jin Liu, Boming Gong, Wei Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm |
topic_facet |
article Verlagsveröffentlichung |
description |
Aerosol spatial distribution obtained from satellite sensors is critical for understanding regional aerosol environments, anthropogenic aerosol emissions, and global climate change. The Directional Polarimetric Camera (DPC) is the first generation of multi-angle polarized sensor developed by China. It is on-board the GaoFen-5 satellite, running in 705 km sun-synchronous orbit with a 13:30 LT (local time) ascending node. The sensor has three polarized channels at 490, 670, and 865 nm and ∼ 9 viewing angles, mainly used for observing aerosols. The spatial resolution is ∼ 3.3 km at nadir, and global coverage is ∼ 2 d. In this study, the performance of aerosol optical depth (AOD) retrievals from the DPC/GaoFen-5 using the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) algorithm were evaluated on a global basis for the first time. The results showed that the DPC GRASP/Model scheme, which used several forms of aerosol-type mixing, achieved good performance. By comparing with Aerosol Robotic Network (AERONET) observations, the correlation coefficient (R), root-mean-square error (RMSE), and expected error (EE%, ± ( 0.05+0.15×AOD)) were 0.9007 %, 0.0662 %, and 82.54 %, respectively. The scattering angle, number of averaged pixels, length of time steps, and radiative and polarized fitting residuals showed impacts on the results of AOD retrieval in the DPC GRASP/Model scheme. From the most AERONET sites, the R and EE% were larger than ∼ 0.9 % and ∼ 80%. Compared with Moderate resolution Imaging Spectroradiometer (MODIS) products, the spatial and temporal variations of aerosol could be caught by the DPC with the GRASP/Model scheme, showing a good performance. However, values of AOD were also underestimated by DPC, probably due to an overly strict cloud mask. The above findings validated the ability of the DPC sensor to monitor aerosols. It should contribute to the development of aerosol parameter retrieval from multi-angle polarized sensors in the future. |
format |
Article in Journal/Newspaper |
author |
Jin, Shikuan Ma, Yingying Chen, Cheng Dubovik, Oleg Hong, Jin Liu, Boming Gong, Wei |
author_facet |
Jin, Shikuan Ma, Yingying Chen, Cheng Dubovik, Oleg Hong, Jin Liu, Boming Gong, Wei |
author_sort |
Jin, Shikuan |
title |
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm |
title_short |
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm |
title_full |
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm |
title_fullStr |
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm |
title_full_unstemmed |
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm |
title_sort |
performance evaluation for retrieving aerosol optical depth from the directional polarimetric camera (dpc) based on the grasp algorithm |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/amt-15-4323-2022 https://noa.gwlb.de/receive/cop_mods_00062041 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061377/amt-15-4323-2022.pdf https://amt.copernicus.org/articles/15/4323/2022/amt-15-4323-2022.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-15-4323-2022 https://noa.gwlb.de/receive/cop_mods_00062041 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061377/amt-15-4323-2022.pdf https://amt.copernicus.org/articles/15/4323/2022/amt-15-4323-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/amt-15-4323-2022 |
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Atmospheric Measurement Techniques |
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15 |
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14 |
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4337 |
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