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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Main Authors: Geogdzhayev, Igor V., Mishchenko, Michael I.
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2015
Subjects:
Online Access:https://doi.org/10.7916/D8DJ5FGT
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spelling ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D8DJ5FGT 2023-05-15T13:07:06+02:00 Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data Geogdzhayev, Igor V. Mishchenko, Michael I. 2015 https://doi.org/10.7916/D8DJ5FGT English eng MDPI https://doi.org/10.7916/D8DJ5FGT Remote sensing MODIS (Spectroradiometer) Tropospheric aerosols Environmental sciences Atmosphere Upper Articles 2015 ftcolumbiauniv https://doi.org/10.7916/D8DJ5FGT 2019-04-04T08:14:09Z 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 direct extrapolation of the presented validation results to the entirety of the GACP dataset. Article in Journal/Newspaper Aerosol Robotic Network Columbia University: Academic Commons
institution Open Polar
collection Columbia University: Academic Commons
op_collection_id ftcolumbiauniv
language English
topic Remote sensing
MODIS (Spectroradiometer)
Tropospheric aerosols
Environmental sciences
Atmosphere
Upper
spellingShingle Remote sensing
MODIS (Spectroradiometer)
Tropospheric aerosols
Environmental sciences
Atmosphere
Upper
Geogdzhayev, Igor V.
Mishchenko, Michael I.
Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data
topic_facet Remote sensing
MODIS (Spectroradiometer)
Tropospheric aerosols
Environmental sciences
Atmosphere
Upper
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 direct extrapolation of the presented validation results to the entirety of the GACP dataset.
format Article in Journal/Newspaper
author Geogdzhayev, Igor V.
Mishchenko, Michael I.
author_facet Geogdzhayev, Igor V.
Mishchenko, Michael I.
author_sort Geogdzhayev, Igor V.
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
publishDate 2015
url https://doi.org/10.7916/D8DJ5FGT
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation https://doi.org/10.7916/D8DJ5FGT
op_doi https://doi.org/10.7916/D8DJ5FGT
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