Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations

We present a novel passive satellite remote sensing approach for observing the three-dimensional distribution of aerosols emitted from wildfires. This method, called AEROS5P, retrieves vertical profiles of aerosol extinction from cloud-free measurements of the TROPOMI satellite sensor onboard the Se...

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Main Authors: Farouk Lemmouchi, Juan Cuesta, Maxim Eremenko, Claude Derognat, Guillaume Siour, Gaëlle Dufour, Pasquale Sellitto, Solène Turquety, Dung Tran, Xiong Liu, Peter Zoogman, Ronny Lutz, Diego Loyola
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Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/14/11/2582
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author Farouk Lemmouchi
Juan Cuesta
Maxim Eremenko
Claude Derognat
Guillaume Siour
Gaëlle Dufour
Pasquale Sellitto
Solène Turquety
Dung Tran
Xiong Liu
Peter Zoogman
Ronny Lutz
Diego Loyola
author_facet Farouk Lemmouchi
Juan Cuesta
Maxim Eremenko
Claude Derognat
Guillaume Siour
Gaëlle Dufour
Pasquale Sellitto
Solène Turquety
Dung Tran
Xiong Liu
Peter Zoogman
Ronny Lutz
Diego Loyola
author_sort Farouk Lemmouchi
collection DOAJ
description We present a novel passive satellite remote sensing approach for observing the three-dimensional distribution of aerosols emitted from wildfires. This method, called AEROS5P, retrieves vertical profiles of aerosol extinction from cloud-free measurements of the TROPOMI satellite sensor onboard the Sentinel 5 Precursor mission. It uses a Tikhonov–Phillips regularization, which iteratively fits near-infrared and visible selected reflectances to simultaneously adjust the vertical distribution and abundance of aerosols. The information on the altitude of the aerosol layers is provided by TROPOMI measurements of the reflectance spectra at the oxygen A-band near 760 nm. In the present paper, we use this new approach for observing the daily evolution of the three-dimensional distribution of biomass burning aerosols emitted by Australian wildfires on 20–24 December 2019. Aerosol optical depths (AOD) derived by vertical integration of the aerosol extinction profiles retrieved by AEROS5P are compared with MODIS, VIIRS and AERONET coincident observations. They show a good agreement in the horizontal distribution of biomass burning aerosols, with a correlation coefficient of 0.87 and a mean absolute error of 0.2 with respect to VIIRS. Moderately lower correlations (0.63) were found between AODs from AEROS5P and MODIS, while the range of values for this comparison was less than half of that with respect to VIIRS. A fair agreement was found between coincident transects of vertical profiles of biomass burning aerosols derived from AEROS5P and from the CALIOP spaceborne lidar. The mean altitudes of these aerosols derived from these two measurements showed a good agreement, with a small mean bias (185 m) and a correlation coefficient of 0.83. Moreover, AEROS5P observations reveal the height of injection of the biomass burning aerosols in 3D. The highest injection heights during the period of analysis were coincident with the largest fire radiative power derived from MODIS. Consistency was also found with respect to the vertical stability of the atmosphere. The AEROS5P approach provides retrievals for cloud-free scenes over several regions, although currently limited to situations with a dominating presence of smoke particles. Future developments will also aim at observing other aerosol species.
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spelling doaj.art-4066a5d6b6924cd995870ab605a769e92023-11-23T14:44:01ZengMDPI AGRemote Sensing2072-42922022-05-011411258210.3390/rs14112582Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite ObservationsFarouk Lemmouchi0Juan Cuesta1Maxim Eremenko2Claude Derognat3Guillaume Siour4Gaëlle Dufour5Pasquale Sellitto6Solène Turquety7Dung Tran8Xiong Liu9Peter Zoogman10Ronny Lutz11Diego Loyola12Univ Paris Est Creteil and Université Paris Cité, CNRS, LISA, 94010 Créteil, FranceUniv Paris Est Creteil and Université Paris Cité, CNRS, LISA, 94010 Créteil, FranceUniv Paris Est Creteil and Université Paris Cité, CNRS, LISA, 94010 Créteil, FranceARIA Technologies, 92100 Boulogne-Billancourt, FranceUniv Paris Est Creteil and Université Paris Cité, CNRS, LISA, 94010 Créteil, FranceUniversité Paris Cité and Univ Paris Est Creteil, CNRS, LISA, 75013 Paris, FranceUniv Paris Est Creteil and Université Paris Cité, CNRS, LISA, 94010 Créteil, FranceLATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, 75252 Paris, FranceLMD, Sorbonne Universités, CNRS, 75231 Paris, FranceCenter for Astrophysics, Harvard & Smithsonian, Cambridge, MA 02138, USACenter for Astrophysics, Harvard & Smithsonian, Cambridge, MA 02138, USAGerman Aerospace Center (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, 82234 Weßling, GermanyGerman Aerospace Center (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, 82234 Weßling, GermanyWe present a novel passive satellite remote sensing approach for observing the three-dimensional distribution of aerosols emitted from wildfires. This method, called AEROS5P, retrieves vertical profiles of aerosol extinction from cloud-free measurements of the TROPOMI satellite sensor onboard the Sentinel 5 Precursor mission. It uses a Tikhonov–Phillips regularization, which iteratively fits near-infrared and visible selected reflectances to simultaneously adjust the vertical distribution and abundance of aerosols. The information on the altitude of the aerosol layers is provided by TROPOMI measurements of the reflectance spectra at the oxygen A-band near 760 nm. In the present paper, we use this new approach for observing the daily evolution of the three-dimensional distribution of biomass burning aerosols emitted by Australian wildfires on 20–24 December 2019. Aerosol optical depths (AOD) derived by vertical integration of the aerosol extinction profiles retrieved by AEROS5P are compared with MODIS, VIIRS and AERONET coincident observations. They show a good agreement in the horizontal distribution of biomass burning aerosols, with a correlation coefficient of 0.87 and a mean absolute error of 0.2 with respect to VIIRS. Moderately lower correlations (0.63) were found between AODs from AEROS5P and MODIS, while the range of values for this comparison was less than half of that with respect to VIIRS. A fair agreement was found between coincident transects of vertical profiles of biomass burning aerosols derived from AEROS5P and from the CALIOP spaceborne lidar. The mean altitudes of these aerosols derived from these two measurements showed a good agreement, with a small mean bias (185 m) and a correlation coefficient of 0.83. Moreover, AEROS5P observations reveal the height of injection of the biomass burning aerosols in 3D. The highest injection heights during the period of analysis were coincident with the largest fire radiative power derived from MODIS. Consistency was also found with respect to the vertical stability of the atmosphere. The AEROS5P approach provides retrievals for cloud-free scenes over several regions, although currently limited to situations with a dominating presence of smoke particles. Future developments will also aim at observing other aerosol species.https://www.mdpi.com/2072-4292/14/11/2582fine particulate matterbiomass burningblack carbonsmokeaerosol extinction vertical profile3D distribution of aerosols
spellingShingle Farouk Lemmouchi
Juan Cuesta
Maxim Eremenko
Claude Derognat
Guillaume Siour
Gaëlle Dufour
Pasquale Sellitto
Solène Turquety
Dung Tran
Xiong Liu
Peter Zoogman
Ronny Lutz
Diego Loyola
Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations
Remote Sensing
fine particulate matter
biomass burning
black carbon
smoke
aerosol extinction vertical profile
3D distribution of aerosols
title Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations
title_full Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations
title_fullStr Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations
title_full_unstemmed Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations
title_short Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations
title_sort three dimensional distribution of biomass burning aerosols from australian wildfires observed by tropomi satellite observations
topic fine particulate matter
biomass burning
black carbon
smoke
aerosol extinction vertical profile
3D distribution of aerosols
url https://www.mdpi.com/2072-4292/14/11/2582
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