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 Geogdzhayev, Michael Mishchenko
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2015
Subjects:
Online Access:https://doi.org/10.3390/rs71012588
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spelling ftmdpi:oai:mdpi.com:/2072-4292/7/10/12588/ 2023-08-20T03:59:12+02:00 Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data Igor Geogdzhayev Michael Mishchenko 2015-09-24 application/pdf https://doi.org/10.3390/rs71012588 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs71012588 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 7; Issue 10; Pages: 12588-12605 tropospheric aerosols remote sensing validation Text 2015 ftmdpi https://doi.org/10.3390/rs71012588 2023-07-31T20:46:48Z 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 ... Text Aerosol Robotic Network MDPI Open Access Publishing Remote Sensing 7 10 12588 12605
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic tropospheric aerosols
remote sensing
validation
spellingShingle tropospheric aerosols
remote sensing
validation
Igor Geogdzhayev
Michael Mishchenko
Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
topic_facet tropospheric aerosols
remote sensing
validation
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 Text
author Igor Geogdzhayev
Michael Mishchenko
author_facet Igor Geogdzhayev
Michael Mishchenko
author_sort Igor 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 Multidisciplinary Digital Publishing Institute
publishDate 2015
url https://doi.org/10.3390/rs71012588
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Remote Sensing; Volume 7; Issue 10; Pages: 12588-12605
op_relation https://dx.doi.org/10.3390/rs71012588
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs71012588
container_title Remote Sensing
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