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We first update a three\u2010dimensional (3D) chemical transport model, GEOS\u2010Chem with the KORUSv5 anthropogenic emission inventory and inclusion of chemistry for aromatics and C<jats:sub>2<\/jats:sub>H<jats:sub>4<\/jats:sub>, leading to modest improvements in simulation of CH<jats:sub>2<\/jats:sub>O (normalized mean bias (NMB): \u22120.57 to \u22120.51) and O<jats:sub>3<\/jats:sub> (NMB: \u22120.25 to \u22120.19) compared against DC\u20108 aircraft measurements during KORUS\u2010AQ; the mixing ratio of most VOC species are still underestimated. We next constrain VOC emissions using CH<jats:sub>2<\/jats:sub>O observations from two satellites (OMI and OMPS) and the DC\u20108 aircraft during KORUS\u2010AQ. To utilize data from multiple platforms in a consistent manner, we develop a two\u2010step Hybrid Iterative Finite Difference Mass Balance and four\u2010dimensional variational inversion system (Hybrid IFDMB\u20104DVar). The total VOC emissions throughout the domain increase by 47%. The a posteriori simulation reduces the low biases of simulated CH<jats:sub>2<\/jats:sub>O (NMB: \u22120.51 to \u22120.15), O<jats:sub>3<\/jats:sub> (NMB: \u22120.19 to \u22120.06), and VOCs. Alterations to the VOC speciation from the 4D\u2010Var 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\u2010Var provides additional refinement of high\u2010resolution 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.<\/jats:p>","DOI":"10.1029\/2021jd035844","type":"journal-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T02:28:42Z","timestamp":1648607322000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["An Inversion Framework for Optimizing Non\u2010Methane VOC Emissions Using Remote Sensing and Airborne Observations in Northeast Asia During the KORUS\u2010AQ Field Campaign"],"prefix":"10.1029","volume":"127","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3257-2404","authenticated-orcid":false,"given":"Jinkyul","family":"Choi","sequence":"first","affiliation":[{"name":"Environmental Engineering Program University of Colorado  Boulder CO 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Environmental Sciences Seoul National University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8922-0234","authenticated-orcid":false,"given":"Rokjin J.","family":"Park","sequence":"additional","affiliation":[{"name":"School of Earth and Environmental Sciences Seoul National University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7544-9580","authenticated-orcid":false,"given":"Kelvin H.","family":"Bates","sequence":"additional","affiliation":[{"name":"School of Engineering and Applied Sciences Harvard University  Cambridge MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joannes D.","family":"Maasakkers","sequence":"additional","affiliation":[{"name":"SRON Netherlands Institute for Space Research  Utrecht The 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