Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index

The absorbing aerosol index (AAI) is a qualitative parameter directly calculated from satellite-measured reflectance. Its sensitivity to absorbing aerosols in combination with a long-term data record since 1978 makes it an important parameter for climate research. In this study, we attempt to quanti...

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Published in:Atmospheric Measurement Techniques
Main Authors: Sun, Jiyunting, Veefkind, J. Pepijn, van Velthoven, Peter, Levelt, Pieternel F.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2018
Subjects:
Online Access:https://doi.org/10.5194/amt-11-5261-2018
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00004781 2023-05-15T13:07:04+02:00 Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index Sun, Jiyunting Veefkind, J. Pepijn van Velthoven, Peter Levelt, Pieternel F. 2018-09 electronic https://doi.org/10.5194/amt-11-5261-2018 https://noa.gwlb.de/receive/cop_mods_00004781 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004738/amt-11-5261-2018.pdf https://amt.copernicus.org/articles/11/5261/2018/amt-11-5261-2018.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-11-5261-2018 https://noa.gwlb.de/receive/cop_mods_00004781 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004738/amt-11-5261-2018.pdf https://amt.copernicus.org/articles/11/5261/2018/amt-11-5261-2018.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2018 ftnonlinearchiv https://doi.org/10.5194/amt-11-5261-2018 2022-02-08T22:59:56Z The absorbing aerosol index (AAI) is a qualitative parameter directly calculated from satellite-measured reflectance. Its sensitivity to absorbing aerosols in combination with a long-term data record since 1978 makes it an important parameter for climate research. In this study, we attempt to quantify aerosol absorption by retrieving the single-scattering albedo (ω0) at 550 nm from the satellite-measured AAI. In the first part of this study, AAI sensitivity studies are presented exclusively for biomass-burning aerosols. Later on, we employ a radiative transfer model (DISAMAR) to simulate the AAI measured by the Ozone Monitoring Instrument (OMI) in order to derive ω0 at 550 nm. Inputs for the radiative transfer calculations include satellite measurement geometry and surface conditions from OMI, aerosol optical thickness (τ) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and aerosol microphysical parameters from the AErosol RObotic NETwork (AERONET), respectively. This approach is applied to the Chile wildfires for the period from 26 to 30 January 2017, when the OMI-observed AAI of this event reached its peak. The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) overpasses missed the evolution of the smoke plume over the research region; therefore the aerosol profile is parameterized. The simulated plume is at an altitude of 4.5–4.9 km, which is in good agreement with available CALIOP backscatter coefficient measurements. The data may contain pixels outside the plume, so an outlier detection criterion is applied. The results show that the AAI simulated by DISAMAR is consistent with satellite observations. The correlation coefficients fall into the range between 0.85 and 0.95. The retrieved mean ω0 at 550 nm for the entire plume over the research period from 26 to 30 January 2017 varies from 0.81 to 0.87, whereas the nearest AERONET station reported ω0 between 0.89 and 0.92. The difference in geolocation between the AERONET site and the plume, the assumption of homogeneous plume properties, the lack of the aerosol profile information and the uncertainties in the inputs for radiative transfer calculation are primarily responsible for this discrepancy in ω0. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 11 9 5261 5277
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Sun, Jiyunting
Veefkind, J. Pepijn
van Velthoven, Peter
Levelt, Pieternel F.
Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
topic_facet article
Verlagsveröffentlichung
description The absorbing aerosol index (AAI) is a qualitative parameter directly calculated from satellite-measured reflectance. Its sensitivity to absorbing aerosols in combination with a long-term data record since 1978 makes it an important parameter for climate research. In this study, we attempt to quantify aerosol absorption by retrieving the single-scattering albedo (ω0) at 550 nm from the satellite-measured AAI. In the first part of this study, AAI sensitivity studies are presented exclusively for biomass-burning aerosols. Later on, we employ a radiative transfer model (DISAMAR) to simulate the AAI measured by the Ozone Monitoring Instrument (OMI) in order to derive ω0 at 550 nm. Inputs for the radiative transfer calculations include satellite measurement geometry and surface conditions from OMI, aerosol optical thickness (τ) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and aerosol microphysical parameters from the AErosol RObotic NETwork (AERONET), respectively. This approach is applied to the Chile wildfires for the period from 26 to 30 January 2017, when the OMI-observed AAI of this event reached its peak. The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) overpasses missed the evolution of the smoke plume over the research region; therefore the aerosol profile is parameterized. The simulated plume is at an altitude of 4.5–4.9 km, which is in good agreement with available CALIOP backscatter coefficient measurements. The data may contain pixels outside the plume, so an outlier detection criterion is applied. The results show that the AAI simulated by DISAMAR is consistent with satellite observations. The correlation coefficients fall into the range between 0.85 and 0.95. The retrieved mean ω0 at 550 nm for the entire plume over the research period from 26 to 30 January 2017 varies from 0.81 to 0.87, whereas the nearest AERONET station reported ω0 between 0.89 and 0.92. The difference in geolocation between the AERONET site and the plume, the assumption of homogeneous plume properties, the lack of the aerosol profile information and the uncertainties in the inputs for radiative transfer calculation are primarily responsible for this discrepancy in ω0.
format Article in Journal/Newspaper
author Sun, Jiyunting
Veefkind, J. Pepijn
van Velthoven, Peter
Levelt, Pieternel F.
author_facet Sun, Jiyunting
Veefkind, J. Pepijn
van Velthoven, Peter
Levelt, Pieternel F.
author_sort Sun, Jiyunting
title Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
title_short Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
title_full Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
title_fullStr Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
title_full_unstemmed Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
title_sort quantifying the single-scattering albedo for the january 2017 chile wildfires from simulations of the omi absorbing aerosol index
publisher Copernicus Publications
publishDate 2018
url https://doi.org/10.5194/amt-11-5261-2018
https://noa.gwlb.de/receive/cop_mods_00004781
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004738/amt-11-5261-2018.pdf
https://amt.copernicus.org/articles/11/5261/2018/amt-11-5261-2018.pdf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548
https://doi.org/10.5194/amt-11-5261-2018
https://noa.gwlb.de/receive/cop_mods_00004781
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004738/amt-11-5261-2018.pdf
https://amt.copernicus.org/articles/11/5261/2018/amt-11-5261-2018.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
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op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/amt-11-5261-2018
container_title Atmospheric Measurement Techniques
container_volume 11
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