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The absence of up-to-date emissions has been a major impediment to accurately simulating aspects of atmospheric chemistry and to precisely quantifying the impact of changes in emissions on air pollution. Hence, a nonlinear joint analytical inversion (Gauss–Newton method) of both volatile organic compounds (VOCs) and nitrogen oxide (NOx ) emissions is made by exploiting the Smithsonian Astrophysical Observatory (SAO) Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM) formaldehyde (HCHO) and the National Aeronautics and Space Administration (NASA) Ozone Monitoring Instrument (OMI) tropospheric nitrogen dioxide (NO2 ) columns during the Korea–United States Air Quality (KORUS-AQ) campaign over East Asia in May–June 2016. Effects of the chemical feedback of NOx and VOCs on both NO2 and HCHO are implicitly included by iteratively optimizing the inversion. Emission uncertainties are greatly narrowed (averaging kernels > 0.8, which is the mathematical presentation of the partition of information gained from the satellite observations with respect to the prior knowledge) over mediumto high-emitting areas such as cities and dense vegetation. The prior amount of total NOx emissions is mainly dictated by values reported in the MIX-Asia 2010 inventory. After the inversion we conclude that there is a decline in emissions (before, after, change) for China (87.94 ± 44.09 Gg d−1 , 68.00 ± 15.94 Gg d−1 , −23 %), North China Plain (NCP) (27.96 ± 13.49 Gg d−1 , 19.05 ± 2.50 Gg d−1 , −32 %), Pearl River Delta (PRD) (4.23±1.78 Gg d−1 , 2.70± 0.32 Gg d−1 , −36 %), Yangtze River Delta (YRD) (9.84 ± 4.68 Gg d−1 , 5.77 ± 0.51 Gg d−1 , −41 %), Taiwan (1.26 ± 0.57 Gg d−1 , 0.97 ± 0.33 Gg d−1 , −23 %), and Malaysia (2.89 ± 2.77 Gg d−1 , 2.25 ± 1.34 Gg d−1 , −22 %), all of which have effectively implemented various stringent regulations. In contrast, South Korea (2.71 ± 1.34 Gg d−1 , 2.95 ± 0.58 Gg d−1 , +9 %) and Japan (3.53 ± 1.71 Gg d−1 , 3.96 ± 1.04 Gg d−1 , +12 %) are experiencing an increase in NOx emissions, potentially due to an increased number of diesel vehicles and new thermal power plants. We revisit the welldocumented positive bias (by a factor of 2 to 3) of MEGAN v2.1 (Model of Emissions of Gases and Aerosols from Na-