Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain
In this study, using Aerosol Robotic Network aerosol optical depth (AOD) products at three stations in the North China Plain (NCP)—a heavily polluted region in China—the AOD products from six satellite-borne radiometers: the Moderate Resolution Imagining Spectroradiometer (MODIS), the Multiangle Ima...
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ftmdpi:oai:mdpi.com:/2073-4433/10/9/480/ 2023-08-20T03:59:12+02:00 Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain Xuehua Fan Xiangao Xia Hongbin Chen agris 2019-08-21 application/pdf https://doi.org/10.3390/atmos10090480 EN eng Multidisciplinary Digital Publishing Institute Aerosols https://dx.doi.org/10.3390/atmos10090480 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 10; Issue 9; Pages: 480 aerosol optical depth of satellite evaluation North China Plain Text 2019 ftmdpi https://doi.org/10.3390/atmos10090480 2023-07-31T22:32:23Z In this study, using Aerosol Robotic Network aerosol optical depth (AOD) products at three stations in the North China Plain (NCP)—a heavily polluted region in China—the AOD products from six satellite-borne radiometers: the Moderate Resolution Imagining Spectroradiometer (MODIS), the Multiangle Imaging Spectroradiometer (MISR), Ozone Mapping Imaging (OMI), the Visible Infrared Imaging Radiometer (VIIRS), the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), and Polarization and Directionality of the Earth’s Reflectances (POLDER), were thoroughly validated, shedding new light on their advantages and disadvantages. The MODIS Deep Blue (DB) products provide more accurate retrievals than the MODIS Dark Target (DT) and other satellite products at the Beijing site (BJ, a megacity), with higher correlations with AERONET (R > 0.93), lower mean absolute bias (MB < 0.012), and higher percentages (>68%) falling within the expected error (EE). All MODIS DT and DB products perform better than the other satellite products at the Xianghe site (XH, a suburb). The MODIS/Aqua DT products at both 3-km and 10-km resolutions performed better than the other space-borne AOD products at the Xinglong site (XL, a rural area at the top of a mountain). MISR, VIIRS, and SeaWiFS tend to underestimate high AOD values and overestimate AOD values under very low AOD conditions in the NCP. Both OMI and POLDER significantly underestimate the AOD. In terms of data volume, MISR with the limited swath width of 380 km has less data volume than the other satellite sensors. MODIS products have the highest sampling rate, especially the MODIS DT and DB merged products, and can be used for various climate study and air-quality monitoring. Text Aerosol Robotic Network MDPI Open Access Publishing Atmosphere 10 9 480 |
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MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
aerosol optical depth of satellite evaluation North China Plain |
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aerosol optical depth of satellite evaluation North China Plain Xuehua Fan Xiangao Xia Hongbin Chen Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain |
topic_facet |
aerosol optical depth of satellite evaluation North China Plain |
description |
In this study, using Aerosol Robotic Network aerosol optical depth (AOD) products at three stations in the North China Plain (NCP)—a heavily polluted region in China—the AOD products from six satellite-borne radiometers: the Moderate Resolution Imagining Spectroradiometer (MODIS), the Multiangle Imaging Spectroradiometer (MISR), Ozone Mapping Imaging (OMI), the Visible Infrared Imaging Radiometer (VIIRS), the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), and Polarization and Directionality of the Earth’s Reflectances (POLDER), were thoroughly validated, shedding new light on their advantages and disadvantages. The MODIS Deep Blue (DB) products provide more accurate retrievals than the MODIS Dark Target (DT) and other satellite products at the Beijing site (BJ, a megacity), with higher correlations with AERONET (R > 0.93), lower mean absolute bias (MB < 0.012), and higher percentages (>68%) falling within the expected error (EE). All MODIS DT and DB products perform better than the other satellite products at the Xianghe site (XH, a suburb). The MODIS/Aqua DT products at both 3-km and 10-km resolutions performed better than the other space-borne AOD products at the Xinglong site (XL, a rural area at the top of a mountain). MISR, VIIRS, and SeaWiFS tend to underestimate high AOD values and overestimate AOD values under very low AOD conditions in the NCP. Both OMI and POLDER significantly underestimate the AOD. In terms of data volume, MISR with the limited swath width of 380 km has less data volume than the other satellite sensors. MODIS products have the highest sampling rate, especially the MODIS DT and DB merged products, and can be used for various climate study and air-quality monitoring. |
format |
Text |
author |
Xuehua Fan Xiangao Xia Hongbin Chen |
author_facet |
Xuehua Fan Xiangao Xia Hongbin Chen |
author_sort |
Xuehua Fan |
title |
Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain |
title_short |
Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain |
title_full |
Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain |
title_fullStr |
Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain |
title_full_unstemmed |
Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain |
title_sort |
intercomparison of multiple satellite aerosol products against aeronet over the north china plain |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/atmos10090480 |
op_coverage |
agris |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmosphere; Volume 10; Issue 9; Pages: 480 |
op_relation |
Aerosols https://dx.doi.org/10.3390/atmos10090480 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/atmos10090480 |
container_title |
Atmosphere |
container_volume |
10 |
container_issue |
9 |
container_start_page |
480 |
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