An Inversion Framework for Optimizing Non-Methane VOC Emissions Using Remote Sensing and Airborne Observations in Northeast Asia During the KORUS-AQ Field Campaign.

Autor: Choi J; Environmental Engineering Program University of Colorado Boulder CO USA., Henze DK; Department of Mechanical Engineering University of Colorado Boulder CO USA., Cao H; Department of Mechanical Engineering University of Colorado Boulder CO USA., Nowlan CR; Harvard-Smithsonian Center for Astrophysics Cambridge MA USA., González Abad G; Harvard-Smithsonian Center for Astrophysics Cambridge MA USA., Kwon HA; Harvard-Smithsonian Center for Astrophysics Cambridge MA USA., Lee HM; Department of Environmental Science and Engineering Ewha Womans University Seoul South Korea., Oak YJ; School of Earth and Environmental Sciences Seoul National University Seoul South Korea., Park RJ; School of Earth and Environmental Sciences Seoul National University Seoul South Korea., Bates KH; School of Engineering and Applied Sciences Harvard University Cambridge MA USA., Maasakkers JD; SRON Netherlands Institute for Space Research Utrecht The Netherlands., Wisthaler A; Institute for Ion Physics and Applied Physics University of Innsbruck Innsbruck Austria.; Department of Chemistry University of Oslo Oslo Norway., Weinheimer AJ; Atmospheric Chemistry Observations and Modeling Laboratory National Center for Atmospheric Research Boulder CO USA.
Jazyk: angličtina
Zdroj: Journal of geophysical research. Atmospheres : JGR [J Geophys Res Atmos] 2022 Apr 16; Vol. 127 (7), pp. e2021JD035844. Date of Electronic Publication: 2022 Apr 12.
DOI: 10.1029/2021JD035844
Abstrakt: We aim to reduce uncertainties in CH 2 O and other volatile organic carbon (VOC) emissions through assimilation of remote sensing data. We first update a three-dimensional (3D) chemical transport model, GEOS-Chem with the KORUSv5 anthropogenic emission inventory and inclusion of chemistry for aromatics and C 2 H 4 , leading to modest improvements in simulation of CH 2 O (normalized mean bias (NMB): -0.57 to -0.51) and O 3 (NMB: -0.25 to -0.19) compared against DC-8 aircraft measurements during KORUS-AQ; the mixing ratio of most VOC species are still underestimated. We next constrain VOC emissions using CH 2 O observations from two satellites (OMI and OMPS) and the DC-8 aircraft during KORUS-AQ. To utilize data from multiple platforms in a consistent manner, we develop a two-step Hybrid Iterative Finite Difference Mass Balance and four-dimensional variational inversion system (Hybrid IFDMB-4DVar). The total VOC emissions throughout the domain increase by 47%. The a posteriori simulation reduces the low biases of simulated CH 2 O (NMB: -0.51 to -0.15), O 3 (NMB: -0.19 to -0.06), and VOCs. Alterations to the VOC speciation from the 4D-Var inversion include increases of biogenic isoprene emissions in Korea and anthropogenic emissions in Eastern China. We find that the IFDMB method alone is adequate for reducing the low biases of VOCs in general; however, 4D-Var provides additional refinement of high-resolution emissions and their speciation. Defining reasonable emission errors and choosing optimal regularization parameters are crucial parts of the inversion system. Our new hybrid inversion framework can be applied for future air quality campaigns, maximizing the value of integrating measurements from current and upcoming geostationary satellite instruments.
(© 2022 The Authors.)
Databáze: MEDLINE
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