Improving satellite-retrieved aerosol microphysical properties using GOCART data

The Multi-angle Imaging SpectroRadiometer (MISR) aboard the NASA Earth Observing System's Terra satellite can provide more reliable aerosol optical depth (AOD) and better constraints on particle size (Ångström exponent, or ANG), sphericity, and single-scattering albedo (SSA) than many other sat...

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Published in:Atmospheric Measurement Techniques
Main Authors: S. Li, R. Kahn, M. Chin, M. J. Garay, Y. Liu
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
Online Access:https://doi.org/10.5194/amt-8-1157-2015
https://doaj.org/article/b492ab28813c40fabe7b000aecc98b59
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author S. Li
R. Kahn
M. Chin
M. J. Garay
Y. Liu
author_facet S. Li
R. Kahn
M. Chin
M. J. Garay
Y. Liu
author_sort S. Li
collection Directory of Open Access Journals: DOAJ Articles
container_issue 3
container_start_page 1157
container_title Atmospheric Measurement Techniques
container_volume 8
description The Multi-angle Imaging SpectroRadiometer (MISR) aboard the NASA Earth Observing System's Terra satellite can provide more reliable aerosol optical depth (AOD) and better constraints on particle size (Ångström exponent, or ANG), sphericity, and single-scattering albedo (SSA) than many other satellite instruments. However, many aerosol mixtures pass the algorithm acceptance criteria, yielding a poor constraint, when the particle-type information in the MISR radiances is low, typically at low AOD. We investigate adding value to the MISR aerosol product under these conditions by filtering the list of MISR-retrieved mixtures based on agreement between the mixture ANG and absorbing AOD (AAOD) values, and simulated aerosol properties from the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model. MISR–GOCART ANG difference and AAOD ratio thresholds for applying GOCART constraints were determined based on coincident AOD, ANG, and AAOD measurements from the AErosol RObotic NETwork (AERONET). The results were validated by comparing the adjusted MISR aerosol optical properties over the contiguous USA between 2006 and 2009 with additional AERONET data. The correlation coefficient ( r ) between the adjusted MISR ANG derived from this study and AERONET improves to 0.45, compared to 0.29 for the MISR Version 22 standard product. The ratio of the adjusted MISR AAOD to AERONET increases to 0.74, compared to 0.5 for the MISR operational retrieval. These improvements occur primarily when AOD < 0.2 for ANG and AOD < 0.5 for AAOD. Spatial and temporal differences among the aerosol optical properties of MISR V22, GOCART, and the adjusted MISR are traced to (1) GOCART underestimation of AOD and ANG in polluted regions; (2) aerosol mixtures lacking in the MISR Version 22 algorithm climatology; (3) low MISR sensitivity to particle type under some conditions; and (4) parameters and thresholds used in our method.
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op_doi https://doi.org/10.5194/amt-8-1157-2015
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doi:10.5194/amt-8-1157-2015
https://doaj.org/article/b492ab28813c40fabe7b000aecc98b59
op_source Atmospheric Measurement Techniques, Vol 8, Iss 3, Pp 1157-1171 (2015)
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spelling ftdoajarticles:oai:doaj.org/article:b492ab28813c40fabe7b000aecc98b59 2025-01-16T18:38:39+00:00 Improving satellite-retrieved aerosol microphysical properties using GOCART data S. Li R. Kahn M. Chin M. J. Garay Y. Liu 2015-03-01T00:00:00Z https://doi.org/10.5194/amt-8-1157-2015 https://doaj.org/article/b492ab28813c40fabe7b000aecc98b59 EN eng Copernicus Publications http://www.atmos-meas-tech.net/8/1157/2015/amt-8-1157-2015.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 1867-1381 1867-8548 doi:10.5194/amt-8-1157-2015 https://doaj.org/article/b492ab28813c40fabe7b000aecc98b59 Atmospheric Measurement Techniques, Vol 8, Iss 3, Pp 1157-1171 (2015) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2015 ftdoajarticles https://doi.org/10.5194/amt-8-1157-2015 2022-12-31T02:46:16Z The Multi-angle Imaging SpectroRadiometer (MISR) aboard the NASA Earth Observing System's Terra satellite can provide more reliable aerosol optical depth (AOD) and better constraints on particle size (Ångström exponent, or ANG), sphericity, and single-scattering albedo (SSA) than many other satellite instruments. However, many aerosol mixtures pass the algorithm acceptance criteria, yielding a poor constraint, when the particle-type information in the MISR radiances is low, typically at low AOD. We investigate adding value to the MISR aerosol product under these conditions by filtering the list of MISR-retrieved mixtures based on agreement between the mixture ANG and absorbing AOD (AAOD) values, and simulated aerosol properties from the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model. MISR–GOCART ANG difference and AAOD ratio thresholds for applying GOCART constraints were determined based on coincident AOD, ANG, and AAOD measurements from the AErosol RObotic NETwork (AERONET). The results were validated by comparing the adjusted MISR aerosol optical properties over the contiguous USA between 2006 and 2009 with additional AERONET data. The correlation coefficient ( r ) between the adjusted MISR ANG derived from this study and AERONET improves to 0.45, compared to 0.29 for the MISR Version 22 standard product. The ratio of the adjusted MISR AAOD to AERONET increases to 0.74, compared to 0.5 for the MISR operational retrieval. These improvements occur primarily when AOD < 0.2 for ANG and AOD < 0.5 for AAOD. Spatial and temporal differences among the aerosol optical properties of MISR V22, GOCART, and the adjusted MISR are traced to (1) GOCART underestimation of AOD and ANG in polluted regions; (2) aerosol mixtures lacking in the MISR Version 22 algorithm climatology; (3) low MISR sensitivity to particle type under some conditions; and (4) parameters and thresholds used in our method. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 8 3 1157 1171
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
S. Li
R. Kahn
M. Chin
M. J. Garay
Y. Liu
Improving satellite-retrieved aerosol microphysical properties using GOCART data
title Improving satellite-retrieved aerosol microphysical properties using GOCART data
title_full Improving satellite-retrieved aerosol microphysical properties using GOCART data
title_fullStr Improving satellite-retrieved aerosol microphysical properties using GOCART data
title_full_unstemmed Improving satellite-retrieved aerosol microphysical properties using GOCART data
title_short Improving satellite-retrieved aerosol microphysical properties using GOCART data
title_sort improving satellite-retrieved aerosol microphysical properties using gocart data
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
url https://doi.org/10.5194/amt-8-1157-2015
https://doaj.org/article/b492ab28813c40fabe7b000aecc98b59