Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale

Three parallel Visible/Infrared Imager Radiometer Suite (VIIRS) aerosol products (SOAR, NOAA, and AERDT) provided data since 2012. It is necessary to study the performances and advantages of different products. This study aims to analyze the accuracy and error of these products over the ocean and co...

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Published in:Remote Sensing
Main Authors: Weitao Li, Xin Su, Lan Feng, Jinyang Wu, Yujie Zhang, Mengdan Cao
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/rs14112544
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spelling ftmdpi:oai:mdpi.com:/2072-4292/14/11/2544/ 2023-08-20T03:59:11+02:00 Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale Weitao Li Xin Su Lan Feng Jinyang Wu Yujie Zhang Mengdan Cao agris 2022-05-26 application/pdf https://doi.org/10.3390/rs14112544 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs14112544 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 11; Pages: 2544 VIIRS fine mode fraction fine mode aerosol optical depth AERDT AERDB Text 2022 ftmdpi https://doi.org/10.3390/rs14112544 2023-08-01T05:10:43Z Three parallel Visible/Infrared Imager Radiometer Suite (VIIRS) aerosol products (SOAR, NOAA, and AERDT) provided data since 2012. It is necessary to study the performances and advantages of different products. This study aims to analyze the accuracy and error of these products over the ocean and compare them with each other. The results show that the three VIIRS ocean aerosol retrievals (including total aerosol optical depth (AOD), fine mode fraction, Ångström exponent (AE), and fine AOD (AODF)) correlate well with AErosol RObotic NETwork (AERONET) retrievals (e.g., correlation >0.895 for AOD and >0.825 for AE), which are comparable to the newest moderate-resolution imaging spectro-radiometer (MODIS) retrievals. Overall, the SOAR retrievals with quality filtering have the best validation accuracy of all parameters. Therefore, it is more recommended to use. The differences in the annual AOD spatial patterns of different products are small (bias < 0.016), but their AE spatial patterns are evidently different (bias > 0.315), indicating the large uncertainty of VIIRS AE. Error analysis shows that the scattering angle and wind speed affect aerosol retrieval. Application of the non-spherical dust model may reduce the dependence of retrieval bias on the scattering angle. Overall, this study provides validation support for VIIRS products usage and possible algorithm improvements. Text Aerosol Robotic Network MDPI Open Access Publishing Remote Sensing 14 11 2544
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic VIIRS
fine mode fraction
fine mode aerosol optical depth
AERDT
AERDB
spellingShingle VIIRS
fine mode fraction
fine mode aerosol optical depth
AERDT
AERDB
Weitao Li
Xin Su
Lan Feng
Jinyang Wu
Yujie Zhang
Mengdan Cao
Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale
topic_facet VIIRS
fine mode fraction
fine mode aerosol optical depth
AERDT
AERDB
description Three parallel Visible/Infrared Imager Radiometer Suite (VIIRS) aerosol products (SOAR, NOAA, and AERDT) provided data since 2012. It is necessary to study the performances and advantages of different products. This study aims to analyze the accuracy and error of these products over the ocean and compare them with each other. The results show that the three VIIRS ocean aerosol retrievals (including total aerosol optical depth (AOD), fine mode fraction, Ångström exponent (AE), and fine AOD (AODF)) correlate well with AErosol RObotic NETwork (AERONET) retrievals (e.g., correlation >0.895 for AOD and >0.825 for AE), which are comparable to the newest moderate-resolution imaging spectro-radiometer (MODIS) retrievals. Overall, the SOAR retrievals with quality filtering have the best validation accuracy of all parameters. Therefore, it is more recommended to use. The differences in the annual AOD spatial patterns of different products are small (bias < 0.016), but their AE spatial patterns are evidently different (bias > 0.315), indicating the large uncertainty of VIIRS AE. Error analysis shows that the scattering angle and wind speed affect aerosol retrieval. Application of the non-spherical dust model may reduce the dependence of retrieval bias on the scattering angle. Overall, this study provides validation support for VIIRS products usage and possible algorithm improvements.
format Text
author Weitao Li
Xin Su
Lan Feng
Jinyang Wu
Yujie Zhang
Mengdan Cao
author_facet Weitao Li
Xin Su
Lan Feng
Jinyang Wu
Yujie Zhang
Mengdan Cao
author_sort Weitao Li
title Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale
title_short Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale
title_full Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale
title_fullStr Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale
title_full_unstemmed Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale
title_sort comprehensive validation and comparison of three viirs aerosol products over the ocean on a global scale
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/rs14112544
op_coverage agris
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Remote Sensing; Volume 14; Issue 11; Pages: 2544
op_relation Atmospheric Remote Sensing
https://dx.doi.org/10.3390/rs14112544
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs14112544
container_title Remote Sensing
container_volume 14
container_issue 11
container_start_page 2544
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