Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements
Assessments of long-term changes of air quality and global radiative forcing at a large scale heavily rely on satellite aerosol optical depth (AOD) datasets, particularly their temporal binning products. Although some attempts focusing on the validation of long-term satellite AOD have been conducted...
Published in: | Remote Sensing |
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2020
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Online Access: | https://curis.ku.dk/portal/da/publications/assessment-of-the-representativeness-of-modis-aerosol-optical-depth-products-at-different-temporal-scales-using-global-aeronet-measurements(2059e26c-474c-4bfe-b610-e5e5a12b3b4f).html https://doi.org/10.3390/rs12142330 https://curis.ku.dk/ws/files/246821879/Assessment_of_the_Representativeness_of_MODIS_Aerosol_Optical_Depth_Products_at_Different_Temporal_Scales_Using_Global_AERONET_Measurements.pdf |
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ftcopenhagenunip:oai:pure.atira.dk:publications/2059e26c-474c-4bfe-b610-e5e5a12b3b4f 2024-04-28T07:53:25+00:00 Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Tong, Yan Feng, Lian Sun, Kun Tang, Jing 2020 application/pdf https://curis.ku.dk/portal/da/publications/assessment-of-the-representativeness-of-modis-aerosol-optical-depth-products-at-different-temporal-scales-using-global-aeronet-measurements(2059e26c-474c-4bfe-b610-e5e5a12b3b4f).html https://doi.org/10.3390/rs12142330 https://curis.ku.dk/ws/files/246821879/Assessment_of_the_Representativeness_of_MODIS_Aerosol_Optical_Depth_Products_at_Different_Temporal_Scales_Using_Global_AERONET_Measurements.pdf eng eng info:eu-repo/semantics/openAccess Tong , Y , Feng , L , Sun , K & Tang , J 2020 , ' Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements ' , Remote Sensing , vol. 12 , no. 14 , 2330 . https://doi.org/10.3390/rs12142330 representativeness uncertainty AOD product temporal binning product MODIS AERONET LEVEL PM2.5 CONCENTRATIONS SINGLE-SCATTERING ALBEDO LONG-TERM TREND DARK-TARGET AIR-QUALITY VIIRS AOD SATELLITE RETRIEVALS LAND VALIDATION article 2020 ftcopenhagenunip https://doi.org/10.3390/rs12142330 2024-04-04T17:35:14Z Assessments of long-term changes of air quality and global radiative forcing at a large scale heavily rely on satellite aerosol optical depth (AOD) datasets, particularly their temporal binning products. Although some attempts focusing on the validation of long-term satellite AOD have been conducted, there is still a lack of comprehensive quantification and understanding of the representativeness of satellite AOD at different temporal binning scales. Here, we evaluated the performances of the Moderate Resolution Imaging Spectroradiometer (MODIS) AOD products at various temporal scales by comparing the MODIS AOD datasets from both the Terra and Aqua satellites with the entire global AErosol RObotic NETwork (AERONET) observation archive between 2000 and 2017. The uncertainty levels of the MODIS hourly and daily AOD products were similarly high, indicating that MODIS AOD retrievals could be used to represent daily aerosol conditions. The MODIS data showed the reduced quality when integrated from the daily to monthly scale, where the relative mean bias (RMB) changed from 1.09 to 1.21 for MODIS Terra and from 1.04 to 1.17 for MODIS Aqua, respectively. The limitation of valid data availability within a month appeared to be the primary reason for the increased uncertainties in the monthly binning products, and the monthly data associated uncertainties could be reduced when the number of valid AOD retrievals reached 15 times in one month. At all three temporal scales, the uncertainty levels of satellite AOD products decreased with increasing AOD values. The results of this study could provide crucial information for satellite AOD users to better understand the reliability of different temporal AOD binning products and associated uncertainties in their derived long-term trends. Article in Journal/Newspaper Aerosol Robotic Network University of Copenhagen: Research Remote Sensing 12 14 2330 |
institution |
Open Polar |
collection |
University of Copenhagen: Research |
op_collection_id |
ftcopenhagenunip |
language |
English |
topic |
representativeness uncertainty AOD product temporal binning product MODIS AERONET LEVEL PM2.5 CONCENTRATIONS SINGLE-SCATTERING ALBEDO LONG-TERM TREND DARK-TARGET AIR-QUALITY VIIRS AOD SATELLITE RETRIEVALS LAND VALIDATION |
spellingShingle |
representativeness uncertainty AOD product temporal binning product MODIS AERONET LEVEL PM2.5 CONCENTRATIONS SINGLE-SCATTERING ALBEDO LONG-TERM TREND DARK-TARGET AIR-QUALITY VIIRS AOD SATELLITE RETRIEVALS LAND VALIDATION Tong, Yan Feng, Lian Sun, Kun Tang, Jing Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements |
topic_facet |
representativeness uncertainty AOD product temporal binning product MODIS AERONET LEVEL PM2.5 CONCENTRATIONS SINGLE-SCATTERING ALBEDO LONG-TERM TREND DARK-TARGET AIR-QUALITY VIIRS AOD SATELLITE RETRIEVALS LAND VALIDATION |
description |
Assessments of long-term changes of air quality and global radiative forcing at a large scale heavily rely on satellite aerosol optical depth (AOD) datasets, particularly their temporal binning products. Although some attempts focusing on the validation of long-term satellite AOD have been conducted, there is still a lack of comprehensive quantification and understanding of the representativeness of satellite AOD at different temporal binning scales. Here, we evaluated the performances of the Moderate Resolution Imaging Spectroradiometer (MODIS) AOD products at various temporal scales by comparing the MODIS AOD datasets from both the Terra and Aqua satellites with the entire global AErosol RObotic NETwork (AERONET) observation archive between 2000 and 2017. The uncertainty levels of the MODIS hourly and daily AOD products were similarly high, indicating that MODIS AOD retrievals could be used to represent daily aerosol conditions. The MODIS data showed the reduced quality when integrated from the daily to monthly scale, where the relative mean bias (RMB) changed from 1.09 to 1.21 for MODIS Terra and from 1.04 to 1.17 for MODIS Aqua, respectively. The limitation of valid data availability within a month appeared to be the primary reason for the increased uncertainties in the monthly binning products, and the monthly data associated uncertainties could be reduced when the number of valid AOD retrievals reached 15 times in one month. At all three temporal scales, the uncertainty levels of satellite AOD products decreased with increasing AOD values. The results of this study could provide crucial information for satellite AOD users to better understand the reliability of different temporal AOD binning products and associated uncertainties in their derived long-term trends. |
format |
Article in Journal/Newspaper |
author |
Tong, Yan Feng, Lian Sun, Kun Tang, Jing |
author_facet |
Tong, Yan Feng, Lian Sun, Kun Tang, Jing |
author_sort |
Tong, Yan |
title |
Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements |
title_short |
Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements |
title_full |
Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements |
title_fullStr |
Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements |
title_full_unstemmed |
Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements |
title_sort |
assessment of the representativeness of modis aerosol optical depth products at different temporal scales using global aeronet measurements |
publishDate |
2020 |
url |
https://curis.ku.dk/portal/da/publications/assessment-of-the-representativeness-of-modis-aerosol-optical-depth-products-at-different-temporal-scales-using-global-aeronet-measurements(2059e26c-474c-4bfe-b610-e5e5a12b3b4f).html https://doi.org/10.3390/rs12142330 https://curis.ku.dk/ws/files/246821879/Assessment_of_the_Representativeness_of_MODIS_Aerosol_Optical_Depth_Products_at_Different_Temporal_Scales_Using_Global_AERONET_Measurements.pdf |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Tong , Y , Feng , L , Sun , K & Tang , J 2020 , ' Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements ' , Remote Sensing , vol. 12 , no. 14 , 2330 . https://doi.org/10.3390/rs12142330 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs12142330 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
14 |
container_start_page |
2330 |
_version_ |
1797570500246896640 |