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, Velthoven, Peter, Levelt, Pieternel F.
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/amt-11-5261-2018
https://amt.copernicus.org/articles/11/5261/2018/
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spelling ftcopernicus:oai:publications.copernicus.org:amt66593 2023-05-15T13:07:09+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 Velthoven, Peter Levelt, Pieternel F. 2019-01-09 application/pdf https://doi.org/10.5194/amt-11-5261-2018 https://amt.copernicus.org/articles/11/5261/2018/ eng eng doi:10.5194/amt-11-5261-2018 https://amt.copernicus.org/articles/11/5261/2018/ eISSN: 1867-8548 Text 2019 ftcopernicus https://doi.org/10.5194/amt-11-5261-2018 2020-07-20T16:23:06Z 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 ( ω 0 ) 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 ω 0 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 ω 0 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 ω 0 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 ω 0 . Text Aerosol Robotic Network Copernicus Publications: E-Journals Atmospheric Measurement Techniques 11 9 5261 5277
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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 ( ω 0 ) 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 ω 0 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 ω 0 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 ω 0 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 ω 0 .
format Text
author Sun, Jiyunting
Veefkind, J. Pepijn
Velthoven, Peter
Levelt, Pieternel F.
spellingShingle Sun, Jiyunting
Veefkind, J. Pepijn
Velthoven, Peter
Levelt, Pieternel F.
Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
author_facet Sun, Jiyunting
Veefkind, J. Pepijn
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
publishDate 2019
url https://doi.org/10.5194/amt-11-5261-2018
https://amt.copernicus.org/articles/11/5261/2018/
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source eISSN: 1867-8548
op_relation doi:10.5194/amt-11-5261-2018
https://amt.copernicus.org/articles/11/5261/2018/
op_doi https://doi.org/10.5194/amt-11-5261-2018
container_title Atmospheric Measurement Techniques
container_volume 11
container_issue 9
container_start_page 5261
op_container_end_page 5277
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