Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia

The operational aerosol retrieval algorithm for the Moderate Resolution Imaging Spectroradiometer (MODIS) measurements was recently updated and named collection 6 (C6). The C6 MODIS aerosol algorithm, a substantially improved version of the collection 5 (C5) algorithm, uses an enhanced aerosol optic...

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Published in:Asian Journal of Atmospheric Environment
Main Author: Kwon-Ho Lee
Format: Article in Journal/Newspaper
Language:English
Published: Asian Association for Atmospheric Environment 2018
Subjects:
aot
geo
Online Access:https://doi.org/10.5572/ajae.2018.12.3.193
https://doaj.org/article/91bafbf62e3e412d8bff1e423ee87cf4
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:91bafbf62e3e412d8bff1e423ee87cf4 2023-05-15T13:06:19+02:00 Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia Kwon-Ho Lee 2018-09-01 https://doi.org/10.5572/ajae.2018.12.3.193 https://doaj.org/article/91bafbf62e3e412d8bff1e423ee87cf4 en eng Asian Association for Atmospheric Environment doi:10.5572/ajae.2018.12.3.193 1976-6912 2287-1160 https://doaj.org/article/91bafbf62e3e412d8bff1e423ee87cf4 undefined Asian Journal of Atmospheric Environment, Vol 12, Iss 3, Pp 193-203 (2018) modis aerosol retrieval aot satellite sun-sky radiometer geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.5572/ajae.2018.12.3.193 2023-01-22T17:53:18Z The operational aerosol retrieval algorithm for the Moderate Resolution Imaging Spectroradiometer (MODIS) measurements was recently updated and named collection 6 (C6). The C6 MODIS aerosol algorithm, a substantially improved version of the collection 5 (C5) algorithm, uses an enhanced aerosol optical thickness (AOT) retrieval process consisting of new surface reflection and aerosol models. This study reports on the estimation and validation of the two latest versions, the C5 and C6 MODIS aerosol products over the East Asian region covering 20°N to 56°N and 80°E to 150°E. This study also presents a comparative validation of the two versions (C5 and C6) of algorithms with different methods (Dark Target (DT) and Deep Blue (DB) retrieval methods) from the Terra and Aqua platforms to make use of the Aerosol Robotic Network (AERONET) sites for the years 2000-2016. Over the study region, the spatially averaged annual mean AOT retrieved from C6 AOT is about 0.035 (5%) less than the C5 counterparts. The linear correlations between MODIS and AERONET AOT are R = 0.89 (slope = 0.86) for C5 and R = 0.95 (slope = 1.00) for C6. Moreover, the magnitude of the mean error in C6 AOT-the difference between MODIS AOT and AERONET AOT-is 40% less than that in C5 AOT. Article in Journal/Newspaper Aerosol Robotic Network Unknown Asian Journal of Atmospheric Environment 12 3 193 203
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic modis
aerosol retrieval
aot
satellite
sun-sky radiometer
geo
envir
spellingShingle modis
aerosol retrieval
aot
satellite
sun-sky radiometer
geo
envir
Kwon-Ho Lee
Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia
topic_facet modis
aerosol retrieval
aot
satellite
sun-sky radiometer
geo
envir
description The operational aerosol retrieval algorithm for the Moderate Resolution Imaging Spectroradiometer (MODIS) measurements was recently updated and named collection 6 (C6). The C6 MODIS aerosol algorithm, a substantially improved version of the collection 5 (C5) algorithm, uses an enhanced aerosol optical thickness (AOT) retrieval process consisting of new surface reflection and aerosol models. This study reports on the estimation and validation of the two latest versions, the C5 and C6 MODIS aerosol products over the East Asian region covering 20°N to 56°N and 80°E to 150°E. This study also presents a comparative validation of the two versions (C5 and C6) of algorithms with different methods (Dark Target (DT) and Deep Blue (DB) retrieval methods) from the Terra and Aqua platforms to make use of the Aerosol Robotic Network (AERONET) sites for the years 2000-2016. Over the study region, the spatially averaged annual mean AOT retrieved from C6 AOT is about 0.035 (5%) less than the C5 counterparts. The linear correlations between MODIS and AERONET AOT are R = 0.89 (slope = 0.86) for C5 and R = 0.95 (slope = 1.00) for C6. Moreover, the magnitude of the mean error in C6 AOT-the difference between MODIS AOT and AERONET AOT-is 40% less than that in C5 AOT.
format Article in Journal/Newspaper
author Kwon-Ho Lee
author_facet Kwon-Ho Lee
author_sort Kwon-Ho Lee
title Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia
title_short Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia
title_full Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia
title_fullStr Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia
title_full_unstemmed Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia
title_sort estimation and validation of collection 6 moderate resolution imaging spectroradiometer aerosol products for east asia
publisher Asian Association for Atmospheric Environment
publishDate 2018
url https://doi.org/10.5572/ajae.2018.12.3.193
https://doaj.org/article/91bafbf62e3e412d8bff1e423ee87cf4
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Asian Journal of Atmospheric Environment, Vol 12, Iss 3, Pp 193-203 (2018)
op_relation doi:10.5572/ajae.2018.12.3.193
1976-6912
2287-1160
https://doaj.org/article/91bafbf62e3e412d8bff1e423ee87cf4
op_rights undefined
op_doi https://doi.org/10.5572/ajae.2018.12.3.193
container_title Asian Journal of Atmospheric Environment
container_volume 12
container_issue 3
container_start_page 193
op_container_end_page 203
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