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....
Published in: | Atmospheric Measurement Techniques |
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2022
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Online Access: | https://doi.org/10.5194/amt-15-4323-2022 https://doaj.org/article/d838d472aa4e415282ff59f29e3a4a67 |
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author | S. Jin Y. Ma C. Chen O. Dubovik J. Hong B. Liu W. Gong |
author_facet | S. Jin Y. Ma C. Chen O. Dubovik J. Hong B. Liu W. Gong |
author_sort | S. Jin |
collection | Directory of Open Access Journals: DOAJ Articles |
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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%, ± ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">0.05</mn><mo>+</mo><mn mathvariant="normal">0.15</mn><mo>×</mo><mtext>AOD</mtext></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="91pt" height="11pt" class="svg-formula" dspmath="mathimg" md5hash="4168191c55c8c10951e3e354800de9c3"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-15-4323-2022-ie00001.svg" width="91pt" height="11pt" src="amt-15-4323-2022-ie00001.png"/></svg:svg> )) 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 ... |
format | Article in Journal/Newspaper |
genre | Aerosol Robotic Network |
genre_facet | Aerosol Robotic Network |
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op_doi | https://doi.org/10.5194/amt-15-4323-2022 |
op_relation | https://amt.copernicus.org/articles/15/4323/2022/amt-15-4323-2022.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-15-4323-2022 1867-1381 1867-8548 https://doaj.org/article/d838d472aa4e415282ff59f29e3a4a67 |
op_source | Atmospheric Measurement Techniques, Vol 15, Pp 4323-4337 (2022) |
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spelling | ftdoajarticles:oai:doaj.org/article:d838d472aa4e415282ff59f29e3a4a67 2025-01-16T18:38:47+00:00 Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm S. Jin Y. Ma C. Chen O. Dubovik J. Hong B. Liu W. Gong 2022-07-01T00:00:00Z https://doi.org/10.5194/amt-15-4323-2022 https://doaj.org/article/d838d472aa4e415282ff59f29e3a4a67 EN eng Copernicus Publications https://amt.copernicus.org/articles/15/4323/2022/amt-15-4323-2022.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-15-4323-2022 1867-1381 1867-8548 https://doaj.org/article/d838d472aa4e415282ff59f29e3a4a67 Atmospheric Measurement Techniques, Vol 15, Pp 4323-4337 (2022) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2022 ftdoajarticles https://doi.org/10.5194/amt-15-4323-2022 2022-12-30T21:19:29Z 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%, ± ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">0.05</mn><mo>+</mo><mn mathvariant="normal">0.15</mn><mo>×</mo><mtext>AOD</mtext></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="91pt" height="11pt" class="svg-formula" dspmath="mathimg" md5hash="4168191c55c8c10951e3e354800de9c3"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-15-4323-2022-ie00001.svg" width="91pt" height="11pt" src="amt-15-4323-2022-ie00001.png"/></svg:svg> )) 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 ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 15 14 4323 4337 |
spellingShingle | Environmental engineering TA170-171 Earthwork. Foundations TA715-787 S. Jin Y. Ma C. Chen O. Dubovik J. Hong B. Liu W. Gong Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm |
title | 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_short | 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 |
topic | Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
topic_facet | Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
url | https://doi.org/10.5194/amt-15-4323-2022 https://doaj.org/article/d838d472aa4e415282ff59f29e3a4a67 |