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, J. (author), Veefkind, j. Pepijn (author), Van Velthoven, Peter (author), Levelt, Pieternel Felicitas (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:2269344a-cdfd-4325-9f36-d70a50883f57
https://doi.org/10.5194/amt-11-5261-2018
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spelling fttudelft:oai:tudelft.nl:uuid:2269344a-cdfd-4325-9f36-d70a50883f57 2024-02-11T09:54:46+01:00 Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index Sun, J. (author) Veefkind, j. Pepijn (author) Van Velthoven, Peter (author) Levelt, Pieternel Felicitas (author) 2018-09-19 http://resolver.tudelft.nl/uuid:2269344a-cdfd-4325-9f36-d70a50883f57 https://doi.org/10.5194/amt-11-5261-2018 en eng http://www.scopus.com/inward/record.url?scp=85053781530&partnerID=8YFLogxK Atmospheric Measurement Techniques--1867-1381--0cbfe98e-e48d-43bc-bf65-73c7bee84678 http://resolver.tudelft.nl/uuid:2269344a-cdfd-4325-9f36-d70a50883f57 https://doi.org/10.5194/amt-11-5261-2018 © 2018 J. Sun, j. Pepijn Veefkind, Peter Van Velthoven, Pieternel Felicitas Levelt journal article 2018 fttudelft https://doi.org/10.5194/amt-11-5261-2018 2024-01-24T23:28:12Z 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, ... Article in Journal/Newspaper Aerosol Robotic Network Delft University of Technology: Institutional Repository Atmospheric Measurement Techniques 11 9 5261 5277
institution Open Polar
collection Delft University of Technology: Institutional Repository
op_collection_id fttudelft
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 (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, ...
format Article in Journal/Newspaper
author Sun, J. (author)
Veefkind, j. Pepijn (author)
Van Velthoven, Peter (author)
Levelt, Pieternel Felicitas (author)
spellingShingle Sun, J. (author)
Veefkind, j. Pepijn (author)
Van Velthoven, Peter (author)
Levelt, Pieternel Felicitas (author)
Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index
author_facet Sun, J. (author)
Veefkind, j. Pepijn (author)
Van Velthoven, Peter (author)
Levelt, Pieternel Felicitas (author)
author_sort Sun, J. (author)
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 2018
url http://resolver.tudelft.nl/uuid:2269344a-cdfd-4325-9f36-d70a50883f57
https://doi.org/10.5194/amt-11-5261-2018
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
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https://doi.org/10.5194/amt-11-5261-2018
op_rights © 2018 J. Sun, j. Pepijn Veefkind, Peter Van Velthoven, Pieternel Felicitas Levelt
op_doi https://doi.org/10.5194/amt-11-5261-2018
container_title Atmospheric Measurement Techniques
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