Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method

This research uses the critical reflectance technique, a space-based remote sensing method, to measure the spatial distribution of aerosol absorption properties over land. Choosing two regions dominated by biomass burning aerosols, a series of sensitivity studies were undertaken to analyze the poten...

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Main Authors: Remer, Lorraine A., Martins, Vanderlei J., Zhu, Li
Language:unknown
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/2060/20110008491
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20110008491 2023-05-15T13:06:34+02:00 Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method Remer, Lorraine A. Martins, Vanderlei J. Zhu, Li Unclassified, Unlimited, Publicly available [2010] application/pdf http://hdl.handle.net/2060/20110008491 unknown Document ID: 20110008491 http://hdl.handle.net/2060/20110008491 Copyright, Distribution as joint owner in the copyright CASI Meteorology and Climatology 2010 ftnasantrs 2019-07-21T06:30:20Z This research uses the critical reflectance technique, a space-based remote sensing method, to measure the spatial distribution of aerosol absorption properties over land. Choosing two regions dominated by biomass burning aerosols, a series of sensitivity studies were undertaken to analyze the potential limitations of this method for the type of aerosol to be encountered in the selected study areas, and to show that the retrieved results are relatively insensitive to uncertainties in the assumptions used in the retrieval of smoke aerosol. The critical reflectance technique is then applied to Moderate Resolution Imaging Spectrometer (MODIS) data to retrieve the spectral aerosol single scattering albedo (SSA) in South African and South American 35 biomass burning events. The retrieved results were validated with collocated Aerosol Robotic Network (AERONET) retrievals. One standard deviation of mean MODIS retrievals match AERONET products to within 0.03, the magnitude of the AERONET uncertainty. The overlap of the two retrievals increases to 88%, allowing for measurement variance in the MODIS retrievals as well. The ensemble average of MODIS-derived SSA for the Amazon forest station is 0.92 at 670 nm, and 0.84-0.89 for the southern African savanna stations. The critical reflectance technique allows evaluation of the spatial variability of SSA, and shows that SSA in South America exhibits higher spatial variation than in South Africa. The accuracy of the retrieved aerosol SSA from MODIS data indicates that this product can help to better understand 44 how aerosols affect the regional and global climate. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Meteorology and Climatology
spellingShingle Meteorology and Climatology
Remer, Lorraine A.
Martins, Vanderlei J.
Zhu, Li
Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method
topic_facet Meteorology and Climatology
description This research uses the critical reflectance technique, a space-based remote sensing method, to measure the spatial distribution of aerosol absorption properties over land. Choosing two regions dominated by biomass burning aerosols, a series of sensitivity studies were undertaken to analyze the potential limitations of this method for the type of aerosol to be encountered in the selected study areas, and to show that the retrieved results are relatively insensitive to uncertainties in the assumptions used in the retrieval of smoke aerosol. The critical reflectance technique is then applied to Moderate Resolution Imaging Spectrometer (MODIS) data to retrieve the spectral aerosol single scattering albedo (SSA) in South African and South American 35 biomass burning events. The retrieved results were validated with collocated Aerosol Robotic Network (AERONET) retrievals. One standard deviation of mean MODIS retrievals match AERONET products to within 0.03, the magnitude of the AERONET uncertainty. The overlap of the two retrievals increases to 88%, allowing for measurement variance in the MODIS retrievals as well. The ensemble average of MODIS-derived SSA for the Amazon forest station is 0.92 at 670 nm, and 0.84-0.89 for the southern African savanna stations. The critical reflectance technique allows evaluation of the spatial variability of SSA, and shows that SSA in South America exhibits higher spatial variation than in South Africa. The accuracy of the retrieved aerosol SSA from MODIS data indicates that this product can help to better understand 44 how aerosols affect the regional and global climate.
author Remer, Lorraine A.
Martins, Vanderlei J.
Zhu, Li
author_facet Remer, Lorraine A.
Martins, Vanderlei J.
Zhu, Li
author_sort Remer, Lorraine A.
title Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method
title_short Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method
title_full Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method
title_fullStr Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method
title_full_unstemmed Biomass Burning Aerosol Absorption Measurements with MODIS Using the Critical Reflectance Method
title_sort biomass burning aerosol absorption measurements with modis using the critical reflectance method
publishDate 2010
url http://hdl.handle.net/2060/20110008491
op_coverage Unclassified, Unlimited, Publicly available
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source CASI
op_relation Document ID: 20110008491
http://hdl.handle.net/2060/20110008491
op_rights Copyright, Distribution as joint owner in the copyright
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