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...
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Online Access: | https://lup.lub.lu.se/record/6097c1ec-7c7d-4487-9dca-06cf2bde5a22 https://doi.org/10.3390/rs12142330 |
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ftulundlup:oai:lup.lub.lu.se:6097c1ec-7c7d-4487-9dca-06cf2bde5a22 2023-05-15T13:06:37+02:00 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 2020-07-20 https://lup.lub.lu.se/record/6097c1ec-7c7d-4487-9dca-06cf2bde5a22 https://doi.org/10.3390/rs12142330 eng eng MDPI AG https://lup.lub.lu.se/record/6097c1ec-7c7d-4487-9dca-06cf2bde5a22 http://dx.doi.org/10.3390/rs12142330 scopus:85088633056 Remote Sensing; 12(14), no 2330 (2020) ISSN: 2072-4292 Meteorology and Atmospheric Sciences Geosciences Multidisciplinary Other Earth and Related Environmental Sciences AOD product AERONET MODIS temporal binning product contributiontojournal/article info:eu-repo/semantics/article text 2020 ftulundlup https://doi.org/10.3390/rs12142330 2023-02-01T23:39:54Z 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 Lund University Publications (LUP) Remote Sensing 12 14 2330 |
institution |
Open Polar |
collection |
Lund University Publications (LUP) |
op_collection_id |
ftulundlup |
language |
English |
topic |
Meteorology and Atmospheric Sciences Geosciences Multidisciplinary Other Earth and Related Environmental Sciences AOD product AERONET MODIS temporal binning product |
spellingShingle |
Meteorology and Atmospheric Sciences Geosciences Multidisciplinary Other Earth and Related Environmental Sciences AOD product AERONET MODIS temporal binning product 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 |
Meteorology and Atmospheric Sciences Geosciences Multidisciplinary Other Earth and Related Environmental Sciences AOD product AERONET MODIS temporal binning product |
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 |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://lup.lub.lu.se/record/6097c1ec-7c7d-4487-9dca-06cf2bde5a22 https://doi.org/10.3390/rs12142330 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing; 12(14), no 2330 (2020) ISSN: 2072-4292 |
op_relation |
https://lup.lub.lu.se/record/6097c1ec-7c7d-4487-9dca-06cf2bde5a22 http://dx.doi.org/10.3390/rs12142330 scopus:85088633056 |
op_doi |
https://doi.org/10.3390/rs12142330 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
14 |
container_start_page |
2330 |
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1766013127232585728 |