Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China

Reliable aerosol optical depth (AOD) data with high spatial and temporal resolutions are needed for research on air pollution in China. AOD products from the Advanced Himawari Imager (AHI) onboard the geostationary Himawari-8 satellite and reanalysis datasets make it possible to capture diurnal vari...

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Published in:Remote Sensing
Main Authors: Taixin Zhang, Lin Zang, Feiyue Mao, Youchuan Wan, Yannian Zhu
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
AOD
Q
Online Access:https://doi.org/10.3390/rs12101684
https://doaj.org/article/dca899743d924ba3840db8149c6c3a68
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spelling ftdoajarticles:oai:doaj.org/article:dca899743d924ba3840db8149c6c3a68 2023-05-15T13:06:52+02:00 Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China Taixin Zhang Lin Zang Feiyue Mao Youchuan Wan Yannian Zhu 2020-05-01T00:00:00Z https://doi.org/10.3390/rs12101684 https://doaj.org/article/dca899743d924ba3840db8149c6c3a68 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/10/1684 https://doaj.org/toc/2072-4292 doi:10.3390/rs12101684 2072-4292 https://doaj.org/article/dca899743d924ba3840db8149c6c3a68 Remote Sensing, Vol 12, Iss 1684, p 1684 (2020) AOD CAMS evaluation Himawari-8 MERRA-2 Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12101684 2022-12-31T15:17:48Z Reliable aerosol optical depth (AOD) data with high spatial and temporal resolutions are needed for research on air pollution in China. AOD products from the Advanced Himawari Imager (AHI) onboard the geostationary Himawari-8 satellite and reanalysis datasets make it possible to capture diurnal variations of aerosol loadings. However, due to the different retrieval methods, their applicability may vary with different space and time. Thus, in this study, taking the measured AOD at the Aerosol Robotic NETwork (AERONET) stations as the gold standard, the performance of the latest AHI hourly AOD product (i.e., L3 AOD) was evaluated and then compared with that of two reanalysis AOD datasets offered by Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) and Copernicus Atmosphere Monitoring Service (CAMS), respectively, covering from July 2015 to December 2017 over China. For all the matchups, AHI AOD shows the highest robustness with a high correlation (R) of 0.82, low root-mean-square error (RMSE) of 0.23, and moderate mean absolute relative error (MARE) of 0.56. Although MERRA-2 and CAMS products both have lower R values (0.74, 0.72) and higher RMSE (0.28, 0.26), the former is slightly better than the latter. Accuracy of AOD products could be mainly affected by the pollution level and less affected by particle size distribution. Comparisons among these AOD products imply that AHI AOD is more reliable in regions with high pollution levels, such as central and eastern China, while in the northern and western part, MERRA-2 AOD seems more satisfying. The performance of all the three AOD products presents a significant diurnal variety, as indicated by the highest accuracy in the morning for AHI and at noon for reanalysis data. Moreover, due to various pollution distribution patterns and meteorological conditions, there are distinct seasonal characteristics in the performance of AOD products for different regions. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Merra ENVELOPE(12.615,12.615,65.816,65.816) Remote Sensing 12 10 1684
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic AOD
CAMS
evaluation
Himawari-8
MERRA-2
Science
Q
spellingShingle AOD
CAMS
evaluation
Himawari-8
MERRA-2
Science
Q
Taixin Zhang
Lin Zang
Feiyue Mao
Youchuan Wan
Yannian Zhu
Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China
topic_facet AOD
CAMS
evaluation
Himawari-8
MERRA-2
Science
Q
description Reliable aerosol optical depth (AOD) data with high spatial and temporal resolutions are needed for research on air pollution in China. AOD products from the Advanced Himawari Imager (AHI) onboard the geostationary Himawari-8 satellite and reanalysis datasets make it possible to capture diurnal variations of aerosol loadings. However, due to the different retrieval methods, their applicability may vary with different space and time. Thus, in this study, taking the measured AOD at the Aerosol Robotic NETwork (AERONET) stations as the gold standard, the performance of the latest AHI hourly AOD product (i.e., L3 AOD) was evaluated and then compared with that of two reanalysis AOD datasets offered by Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) and Copernicus Atmosphere Monitoring Service (CAMS), respectively, covering from July 2015 to December 2017 over China. For all the matchups, AHI AOD shows the highest robustness with a high correlation (R) of 0.82, low root-mean-square error (RMSE) of 0.23, and moderate mean absolute relative error (MARE) of 0.56. Although MERRA-2 and CAMS products both have lower R values (0.74, 0.72) and higher RMSE (0.28, 0.26), the former is slightly better than the latter. Accuracy of AOD products could be mainly affected by the pollution level and less affected by particle size distribution. Comparisons among these AOD products imply that AHI AOD is more reliable in regions with high pollution levels, such as central and eastern China, while in the northern and western part, MERRA-2 AOD seems more satisfying. The performance of all the three AOD products presents a significant diurnal variety, as indicated by the highest accuracy in the morning for AHI and at noon for reanalysis data. Moreover, due to various pollution distribution patterns and meteorological conditions, there are distinct seasonal characteristics in the performance of AOD products for different regions.
format Article in Journal/Newspaper
author Taixin Zhang
Lin Zang
Feiyue Mao
Youchuan Wan
Yannian Zhu
author_facet Taixin Zhang
Lin Zang
Feiyue Mao
Youchuan Wan
Yannian Zhu
author_sort Taixin Zhang
title Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China
title_short Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China
title_full Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China
title_fullStr Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China
title_full_unstemmed Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China
title_sort evaluation of himawari-8/ahi, merra-2, and cams aerosol products over china
publisher MDPI AG
publishDate 2020
url https://doi.org/10.3390/rs12101684
https://doaj.org/article/dca899743d924ba3840db8149c6c3a68
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Merra
geographic_facet Merra
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Remote Sensing, Vol 12, Iss 1684, p 1684 (2020)
op_relation https://www.mdpi.com/2072-4292/12/10/1684
https://doaj.org/toc/2072-4292
doi:10.3390/rs12101684
2072-4292
https://doaj.org/article/dca899743d924ba3840db8149c6c3a68
op_doi https://doi.org/10.3390/rs12101684
container_title Remote Sensing
container_volume 12
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