Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days
In East Asia, satellite observation is important because aerosols from natural and anthropogenic sources have been recognized as a major source of regional and global air pollution. However, retrieving aerosols properties from satellite observations over land can be difficult because of the surface...
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ftcopernicus:oai:publications.copernicus.org:amt7285 2023-05-15T13:06:12+02:00 Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days Lee, K. H. Kim, Y. J. 2018-01-15 application/pdf https://doi.org/10.5194/amt-3-1771-2010 https://amt.copernicus.org/articles/3/1771/2010/ eng eng doi:10.5194/amt-3-1771-2010 https://amt.copernicus.org/articles/3/1771/2010/ eISSN: 1867-8548 Text 2018 ftcopernicus https://doi.org/10.5194/amt-3-1771-2010 2020-07-20T16:26:15Z In East Asia, satellite observation is important because aerosols from natural and anthropogenic sources have been recognized as a major source of regional and global air pollution. However, retrieving aerosols properties from satellite observations over land can be difficult because of the surface reflection, complex aerosol composition, and aerosol absorption. In this study, a new aerosol retrieval method called as the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite aerosol retrieval (MSTAR) was developed and applied to three different aerosol event cases over East Asia. MSTAR uses a separation technique that can distinguish aerosol reflectance from top-of-atmosphere (TOA) reflectance. The aerosol optical thickness (AOT) was determined by comparing this aerosol reflectance with pre-calculated values. Three case studies show how the methodology identifies discrepancies between measured and calculated values to retrieve more accurate AOT. The comparison between MODIS and the Aerosol Robotic Network (AERONET) showed improvement using the suggested methodology with the cluster-based look-up-tables (LUTs) (linear slope = 0.94, R = 0.92) than using operational MODIS collection 5 aerosol products (linear slope = 0.78, R = 0.87). In conclusion, the suggested methodology is shown to work well with aerosol models acquired by statistical clustering of the observation data in East Asia. Text Aerosol Robotic Network Copernicus Publications: E-Journals Atmospheric Measurement Techniques 3 6 1771 1784 |
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Copernicus Publications: E-Journals |
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English |
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In East Asia, satellite observation is important because aerosols from natural and anthropogenic sources have been recognized as a major source of regional and global air pollution. However, retrieving aerosols properties from satellite observations over land can be difficult because of the surface reflection, complex aerosol composition, and aerosol absorption. In this study, a new aerosol retrieval method called as the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite aerosol retrieval (MSTAR) was developed and applied to three different aerosol event cases over East Asia. MSTAR uses a separation technique that can distinguish aerosol reflectance from top-of-atmosphere (TOA) reflectance. The aerosol optical thickness (AOT) was determined by comparing this aerosol reflectance with pre-calculated values. Three case studies show how the methodology identifies discrepancies between measured and calculated values to retrieve more accurate AOT. The comparison between MODIS and the Aerosol Robotic Network (AERONET) showed improvement using the suggested methodology with the cluster-based look-up-tables (LUTs) (linear slope = 0.94, R = 0.92) than using operational MODIS collection 5 aerosol products (linear slope = 0.78, R = 0.87). In conclusion, the suggested methodology is shown to work well with aerosol models acquired by statistical clustering of the observation data in East Asia. |
format |
Text |
author |
Lee, K. H. Kim, Y. J. |
spellingShingle |
Lee, K. H. Kim, Y. J. Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
author_facet |
Lee, K. H. Kim, Y. J. |
author_sort |
Lee, K. H. |
title |
Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
title_short |
Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
title_full |
Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
title_fullStr |
Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
title_full_unstemmed |
Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
title_sort |
satellite remote sensing of asian aerosols: a case study of clean, polluted, and asian dust storm days |
publishDate |
2018 |
url |
https://doi.org/10.5194/amt-3-1771-2010 https://amt.copernicus.org/articles/3/1771/2010/ |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
eISSN: 1867-8548 |
op_relation |
doi:10.5194/amt-3-1771-2010 https://amt.copernicus.org/articles/3/1771/2010/ |
op_doi |
https://doi.org/10.5194/amt-3-1771-2010 |
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Atmospheric Measurement Techniques |
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3 |
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6 |
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1771 |
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1784 |
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1765996069353684992 |