Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data

A comprehensive set of monthly mean aerosol optical thickness (AOT) data from coastal and island AErosol RObotic NETwork (AERONET) stations is used to evaluate Global Aerosol Climatology Project (GACP) retrievals for the period 1995–2009 during which contemporaneous GACP and AERONET data were availa...

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Published in:Remote Sensing
Main Authors: Igor V. Geogdzhayev, Michael I. Mishchenko
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2015
Subjects:
Q
Online Access:https://doi.org/10.3390/rs71012588
https://doaj.org/article/5b72d2d62db84034955a876b7ec5f927
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spelling ftdoajarticles:oai:doaj.org/article:5b72d2d62db84034955a876b7ec5f927 2023-05-15T13:06:51+02:00 Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data Igor V. Geogdzhayev Michael I. Mishchenko 2015-09-01T00:00:00Z https://doi.org/10.3390/rs71012588 https://doaj.org/article/5b72d2d62db84034955a876b7ec5f927 EN eng MDPI AG http://www.mdpi.com/2072-4292/7/10/12588 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs71012588 https://doaj.org/article/5b72d2d62db84034955a876b7ec5f927 Remote Sensing, Vol 7, Iss 10, Pp 12588-12605 (2015) tropospheric aerosols remote sensing validation Science Q article 2015 ftdoajarticles https://doi.org/10.3390/rs71012588 2022-12-31T16:12:34Z A comprehensive set of monthly mean aerosol optical thickness (AOT) data from coastal and island AErosol RObotic NETwork (AERONET) stations is used to evaluate Global Aerosol Climatology Project (GACP) retrievals for the period 1995–2009 during which contemporaneous GACP and AERONET data were available. To put the GACP performance in broader perspective, we also compare AERONET and MODerate resolution Imaging Spectroradiometer (MODIS) Aqua level-2 data for 2003–2009 using the same methodology. We find that a large mismatch in geographic coverage exists between the satellite and ground-based datasets, with very limited AERONET coverage of open-ocean areas. This is especially true of GACP because of the smaller number of AERONET stations at the early stages of the network development. Monthly mean AOTs from the two over-the-ocean satellite datasets are well-correlated with the ground-based values, the correlation coefficients being 0.81–0.85 for GACP and 0.74–0.79 for MODIS. Regression analyses demonstrate that the GACP mean AOTs are approximately 17%–27% lower than the AERONET values on average, while the MODIS mean AOTs are 5%–25% higher. The regression coefficients are highly dependent on the weighting assumptions (e.g., on the measure of aerosol variability) as well as on the set of AERONET stations used for comparison. Comparison of over-the-land and over-the-ocean MODIS monthly mean AOTs in the vicinity of coastal AERONET stations reveals a significant bias. This may indicate that aerosol amounts in coastal locations can differ significantly from those in adjacent open-ocean areas. Furthermore, the color of coastal waters and peculiarities of coastline meteorological conditions may introduce biases in the GACP AOT retrievals. We conclude that the GACP and MODIS over-the-ocean retrieval algorithms show similar ranges of discrepancy when compared to available coastal and island AERONET stations. The factors mentioned above may limit the performance of the validation procedure and cause us to caution against a ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Remote Sensing 7 10 12588 12605
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic tropospheric aerosols
remote sensing
validation
Science
Q
spellingShingle tropospheric aerosols
remote sensing
validation
Science
Q
Igor V. Geogdzhayev
Michael I. Mishchenko
Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
topic_facet tropospheric aerosols
remote sensing
validation
Science
Q
description A comprehensive set of monthly mean aerosol optical thickness (AOT) data from coastal and island AErosol RObotic NETwork (AERONET) stations is used to evaluate Global Aerosol Climatology Project (GACP) retrievals for the period 1995–2009 during which contemporaneous GACP and AERONET data were available. To put the GACP performance in broader perspective, we also compare AERONET and MODerate resolution Imaging Spectroradiometer (MODIS) Aqua level-2 data for 2003–2009 using the same methodology. We find that a large mismatch in geographic coverage exists between the satellite and ground-based datasets, with very limited AERONET coverage of open-ocean areas. This is especially true of GACP because of the smaller number of AERONET stations at the early stages of the network development. Monthly mean AOTs from the two over-the-ocean satellite datasets are well-correlated with the ground-based values, the correlation coefficients being 0.81–0.85 for GACP and 0.74–0.79 for MODIS. Regression analyses demonstrate that the GACP mean AOTs are approximately 17%–27% lower than the AERONET values on average, while the MODIS mean AOTs are 5%–25% higher. The regression coefficients are highly dependent on the weighting assumptions (e.g., on the measure of aerosol variability) as well as on the set of AERONET stations used for comparison. Comparison of over-the-land and over-the-ocean MODIS monthly mean AOTs in the vicinity of coastal AERONET stations reveals a significant bias. This may indicate that aerosol amounts in coastal locations can differ significantly from those in adjacent open-ocean areas. Furthermore, the color of coastal waters and peculiarities of coastline meteorological conditions may introduce biases in the GACP AOT retrievals. We conclude that the GACP and MODIS over-the-ocean retrieval algorithms show similar ranges of discrepancy when compared to available coastal and island AERONET stations. The factors mentioned above may limit the performance of the validation procedure and cause us to caution against a ...
format Article in Journal/Newspaper
author Igor V. Geogdzhayev
Michael I. Mishchenko
author_facet Igor V. Geogdzhayev
Michael I. Mishchenko
author_sort Igor V. Geogdzhayev
title Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
title_short Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
title_full Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
title_fullStr Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
title_full_unstemmed Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
title_sort validation of long-term global aerosol climatology project optical thickness retrievals using aeronet and modis data
publisher MDPI AG
publishDate 2015
url https://doi.org/10.3390/rs71012588
https://doaj.org/article/5b72d2d62db84034955a876b7ec5f927
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Remote Sensing, Vol 7, Iss 10, Pp 12588-12605 (2015)
op_relation http://www.mdpi.com/2072-4292/7/10/12588
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs71012588
https://doaj.org/article/5b72d2d62db84034955a876b7ec5f927
op_doi https://doi.org/10.3390/rs71012588
container_title Remote Sensing
container_volume 7
container_issue 10
container_start_page 12588
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