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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Published in:Remote Sensing
Main Authors: Tong, Yan, Feng, Lian, Sun, Kun, Tang, Jing
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
Online Access:https://lup.lub.lu.se/record/6097c1ec-7c7d-4487-9dca-06cf2bde5a22
https://doi.org/10.3390/rs12142330
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spelling 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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