Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm
International audience 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 sens...
Published in: | Atmospheric Measurement Techniques |
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ftccsdartic:oai:HAL:insu-03779809v1 2024-02-27T08:32:32+00:00 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 Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) 2022 https://insu.hal.science/insu-03779809 https://insu.hal.science/insu-03779809/document https://insu.hal.science/insu-03779809/file/amt-15-4323-2022.pdf https://doi.org/10.5194/amt-15-4323-2022 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-15-4323-2022 insu-03779809 https://insu.hal.science/insu-03779809 https://insu.hal.science/insu-03779809/document https://insu.hal.science/insu-03779809/file/amt-15-4323-2022.pdf BIBCODE: 2022AMT.15.4323J doi:10.5194/amt-15-4323-2022 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://insu.hal.science/insu-03779809 Atmospheric Measurement Techniques, 2022, 15, pp.4323-4337. ⟨10.5194/amt-15-4323-2022⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2022 ftccsdartic https://doi.org/10.5194/amt-15-4323-2022 2024-01-28T01:11:47Z International audience 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 Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Atmospheric Measurement Techniques 15 14 4323 4337 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDU]Sciences of the Universe [physics] 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 |
[SDU]Sciences of the Universe [physics] |
description |
International audience 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. |
author2 |
Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) |
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 |
HAL CCSD |
publishDate |
2022 |
url |
https://insu.hal.science/insu-03779809 https://insu.hal.science/insu-03779809/document https://insu.hal.science/insu-03779809/file/amt-15-4323-2022.pdf https://doi.org/10.5194/amt-15-4323-2022 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://insu.hal.science/insu-03779809 Atmospheric Measurement Techniques, 2022, 15, pp.4323-4337. ⟨10.5194/amt-15-4323-2022⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-15-4323-2022 insu-03779809 https://insu.hal.science/insu-03779809 https://insu.hal.science/insu-03779809/document https://insu.hal.science/insu-03779809/file/amt-15-4323-2022.pdf BIBCODE: 2022AMT.15.4323J doi:10.5194/amt-15-4323-2022 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/amt-15-4323-2022 |
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Atmospheric Measurement Techniques |
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