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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ftdoajarticles:oai:doaj.org/article:1924984bb24c41b896c79ace49f5651d 2023-05-15T13:06:15+02:00 Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days K. H. Lee Y. J. Kim 2010-12-01T00:00:00Z https://doi.org/10.5194/amt-3-1771-2010 https://doaj.org/article/1924984bb24c41b896c79ace49f5651d EN eng Copernicus Publications http://www.atmos-meas-tech.net/3/1771/2010/amt-3-1771-2010.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-3-1771-2010 1867-1381 1867-8548 https://doaj.org/article/1924984bb24c41b896c79ace49f5651d Atmospheric Measurement Techniques, Vol 3, Iss 6, Pp 1771-1784 (2010) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2010 ftdoajarticles https://doi.org/10.5194/amt-3-1771-2010 2022-12-31T04:33:20Z 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. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 3 6 1771 1784 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 K. H. Lee Y. J. Kim Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
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 |
Article in Journal/Newspaper |
author |
K. H. Lee Y. J. Kim |
author_facet |
K. H. Lee Y. J. Kim |
author_sort |
K. H. Lee |
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 |
publisher |
Copernicus Publications |
publishDate |
2010 |
url |
https://doi.org/10.5194/amt-3-1771-2010 https://doaj.org/article/1924984bb24c41b896c79ace49f5651d |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Measurement Techniques, Vol 3, Iss 6, Pp 1771-1784 (2010) |
op_relation |
http://www.atmos-meas-tech.net/3/1771/2010/amt-3-1771-2010.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-3-1771-2010 1867-1381 1867-8548 https://doaj.org/article/1924984bb24c41b896c79ace49f5651d |
op_doi |
https://doi.org/10.5194/amt-3-1771-2010 |
container_title |
Atmospheric Measurement Techniques |
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3 |
container_issue |
6 |
container_start_page |
1771 |
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1784 |
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1765997892094394368 |