Publications

Chen, C; Dubovik, O; Henze, DK; Chin, M; Lapyonok, T; Schuster, GL; Ducos, F; Fuertes, D; Litvinov, P; Li, L; Lopatin, A; Hu, QY; Torres, B (2019). Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations. ATMOSPHERIC CHEMISTRY AND PHYSICS, 19(23), 14585-14606.

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 modeling 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(-1) for BC, 109.9 Tg yr(-1) for OC and 731.6 Tg yr(-1) for DD for the year 2010. These values show a difference of +166.7 %, +184.0% and -42.4 %, respectively, 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 %, respectively, 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, Angstrom exponent and absorption Angstrom 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.

DOI:
10.5194/acp-19-14585-2019

ISSN:
1680-7316