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© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 15 Jul 2019

Submitted as: research article | 15 Jul 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations

Cheng Chen1,5, Oleg Dubovik1, Daven K. Henze2, Mian Chin3, Tatyana Lapyonok1, Gregory L. Schuster4, Fabrice Ducos1, David Fuertes5, Pavel Litvinov5, Lei Li6, Anton Lopatin5, Qiaoyun Hu1, and Benjamin Torres1 Cheng Chen et al.
  • 1Laboratoire d’Optique Atmosphérique (LOA), UMR8518 CNRS, Université de Lille, Villeneuve D’ASCQ, 59655, France
  • 2Department of Mechanical Engineering, University of Colorado, Boulder, Colorado, 80309, USA
  • 3NASA Goddard Space Flight Center, Greenbelt, Maryland, 20771, USA
  • 4NASA Langley Research Center, Hampton, Virginia, 23681, USA
  • 5GRASP-SAS, Remote Sensing Developments, Université de Lille, Villeneuve D'ASCQ, 59655, France
  • 6State Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing, 100081, China

Abstract. We invert global black carbon (BC), organic carbon (OC) and desert dust (DD) aerosol emissions from POLDER/PARASOL spectral aerosol optical depth (AOD) and aerosol absorption optical depth (AAOD) using the GEOS-Chem inverse modelling framework. Our inverse modeling framework uses standard a priori emissions to provide a posteriori emissions that are constrained by POLDER/PARASOL AODs and AAODs. The following global emission values were retrieved for the three aerosol components: 18.4 Tg/yr for BC, 109.9 Tg/yr for OC, and 731.6 Tg/yr for DD for the year 2010. These values show a difference of +166.7 %, +184.0 %, and -42.4 % with respect to the a priori values of emission inventories used in standard GEOS-Chem runs. The model simulations using a posteriori emissions (i.e. retrieved emissions) provide values of 0.119 for global mean AOD and 0.0071 for AAOD at 550 nm, which are +13.3 % and +82.1 % higher than the AOD and AAOD obtained using the a priori values of emissions. Additionally, the a posteriori model simulation of AOD, AAOD, single scattering albedo, Ångström exponent, and absorption Ångström exponent show better agreement with independent AERONET, MODIS, and OMI measurements than the a priori simulation. Thus, this study suggests that using satellite-constrained global aerosol emissions in aerosol transport models can improve the accuracy of simulated global aerosol properties.

Cheng Chen et al.
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Cheng Chen et al.
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Short summary
In this study, global BC, OC, and DD aerosol emissions are inverted from POLDER/PARASOL observation for the year 2010 based on the GEOS-Chem inverse modelling framework. The retrieved emissions are 18.4 Tg/yr BC, 109.9 Tg/yr OC and 731.6 Tg/yr DD, which indicate an increase of 166.7 % for BC and 184.0 % for OC, while a decrease of 42.4 % for DD with respect to GEOS-Chem a priori emission inventories. Global annul mean AOD and AAOD resulting from retrieved emissions are 0.119 and 0.0071 at 550 nm.
In this study, global BC, OC, and DD aerosol emissions are inverted from POLDER/PARASOL...