Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ...
This study conducted the first comprehensive assessment of the aerosol optical depth (AOD) product retrieved from the observations by the Advanced Himawari Imager (AHI) onboard the Himawari-8 satellite. The AHI Level 3 AOD (Version 3.0) was evaluated using the collocated Aerosol Robotic Network (AER...
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ftdatacite:10.13016/dspace/narr-alsh 2023-12-31T09:58:27+01:00 Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ... Zhang, Wenhao Xu, Hui Zhang, Lili 2019 https://dx.doi.org/10.13016/dspace/narr-alsh https://drum.lib.umd.edu/handle/1903/31419 en eng MDPI aerosol optical depth Himawari-8 AHI AERONE assessment ScholarlyArticle Text article-journal Article 2019 ftdatacite https://doi.org/10.13016/dspace/narr-alsh 2023-12-01T11:16:28Z This study conducted the first comprehensive assessment of the aerosol optical depth (AOD) product retrieved from the observations by the Advanced Himawari Imager (AHI) onboard the Himawari-8 satellite. The AHI Level 3 AOD (Version 3.0) was evaluated using the collocated Aerosol Robotic Network (AERONET) level 2.0 direct sun AOD measurements over the last three years (May 2016–December 2018) at 58 selected AERONET sites. A comprehensive comparison between AHI and AERONET AOD was carried out, which yielded a correlation coefficient (R) of 0.82, a slope of 0.69, and a root mean square error (RMSE) of 0.16. The results indicate a good agreement between AHI and AERONET AOD, while revealing that the AHI aerosol retrieval algorithm tends to underestimate the atmospheric aerosol load. In addition, the expected uncertainty of AHI Level 3 AOD (Version 3.0) is ± (0.1 + 0.3 × AOD). Furthermore, the performance of the AHI aerosol retrieval algorithm exhibits regional variation. The best performance is reported over East ... Text Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
aerosol optical depth Himawari-8 AHI AERONE assessment |
spellingShingle |
aerosol optical depth Himawari-8 AHI AERONE assessment Zhang, Wenhao Xu, Hui Zhang, Lili Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ... |
topic_facet |
aerosol optical depth Himawari-8 AHI AERONE assessment |
description |
This study conducted the first comprehensive assessment of the aerosol optical depth (AOD) product retrieved from the observations by the Advanced Himawari Imager (AHI) onboard the Himawari-8 satellite. The AHI Level 3 AOD (Version 3.0) was evaluated using the collocated Aerosol Robotic Network (AERONET) level 2.0 direct sun AOD measurements over the last three years (May 2016–December 2018) at 58 selected AERONET sites. A comprehensive comparison between AHI and AERONET AOD was carried out, which yielded a correlation coefficient (R) of 0.82, a slope of 0.69, and a root mean square error (RMSE) of 0.16. The results indicate a good agreement between AHI and AERONET AOD, while revealing that the AHI aerosol retrieval algorithm tends to underestimate the atmospheric aerosol load. In addition, the expected uncertainty of AHI Level 3 AOD (Version 3.0) is ± (0.1 + 0.3 × AOD). Furthermore, the performance of the AHI aerosol retrieval algorithm exhibits regional variation. The best performance is reported over East ... |
format |
Text |
author |
Zhang, Wenhao Xu, Hui Zhang, Lili |
author_facet |
Zhang, Wenhao Xu, Hui Zhang, Lili |
author_sort |
Zhang, Wenhao |
title |
Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ... |
title_short |
Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ... |
title_full |
Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ... |
title_fullStr |
Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ... |
title_full_unstemmed |
Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land ... |
title_sort |
assessment of himawari-8 ahi aerosol optical depth over land ... |
publisher |
MDPI |
publishDate |
2019 |
url |
https://dx.doi.org/10.13016/dspace/narr-alsh https://drum.lib.umd.edu/handle/1903/31419 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_doi |
https://doi.org/10.13016/dspace/narr-alsh |
_version_ |
1786841705719267328 |