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000888364 1001_ $$00000-0002-6595-0686$$aGaubert, Benjamin$$b0$$eCorresponding author
000888364 245__ $$aCorrecting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ
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000888364 520__ $$aGlobal coupled chemistry–climate models underestimate carbon monoxide (CO) in the Northern Hemisphere, exhibiting a pervasive negative bias against measurements peaking in late winter and early spring. While this bias has been commonly attributed to underestimation of direct anthropogenic and biomass burning emissions, chemical production and loss via OH reaction from emissions of anthropogenic and biogenic volatile organic compounds (VOCs) play an important role. Here we investigate the reasons for this underestimation using aircraft measurements taken in May and June 2016 from the Korea–United States Air Quality (KORUS-AQ) experiment in South Korea and the Air Chemistry Research in Asia (ARIAs) in the North China Plain (NCP). For reference, multispectral CO retrievals (V8J) from the Measurements of Pollution in the Troposphere (MOPITT) are jointly assimilated with meteorological observations using an ensemble adjustment Kalman filter (EAKF) within the global Community Atmosphere Model with Chemistry (CAM-Chem) and the Data Assimilation Research Testbed (DART). With regard to KORUS-AQ data, CO is underestimated by 42 % in the control run and by 12 % with the MOPITT assimilation run. The inversion suggests an underestimation of anthropogenic CO sources in many regions, by up to 80 % for northern China, with large increments over the Liaoning Province and the North China Plain (NCP). Yet, an often-overlooked aspect of these inversions is that correcting the underestimation in anthropogenic CO emissions also improves the comparison with observational O3 datasets and observationally constrained box model simulations of OH and HO2. Running a CAM-Chem simulation with the updated emissions of anthropogenic CO reduces the bias by 29 % for CO, 18 % for ozone, 11 % for HO2, and 27 % for OH. Longer-lived anthropogenic VOCs whose model errors are correlated with CO are also improved, while short-lived VOCs, including formaldehyde, are difficult to constrain solely by assimilating satellite retrievals of CO. During an anticyclonic episode, better simulation of O3, with an average underestimation of 5.5 ppbv, and a reduction in the bias of surface formaldehyde and oxygenated VOCs can be achieved by separately increasing by a factor of 2 the modeled biogenic emissions for the plant functional types found in Korea. Results also suggest that controlling VOC and CO emissions, in addition to widespread NOx controls, can improve ozone pollution over East Asia.
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000888364 7001_ $$00000-0003-2325-6212$$aEmmons, Louisa K.$$b1
000888364 7001_ $$0P:(DE-HGF)0$$aRaeder, Kevin$$b2
000888364 7001_ $$0P:(DE-HGF)0$$aTilmes, Simone$$b3
000888364 7001_ $$00000-0002-1466-4655$$aMiyazaki, Kazuyuki$$b4
000888364 7001_ $$00000-0002-2615-5831$$aArellano Jr., Avelino F.$$b5
000888364 7001_ $$0P:(DE-HGF)0$$aElguindi, Nellie$$b6
000888364 7001_ $$0P:(DE-HGF)0$$aGranier, Claire$$b7
000888364 7001_ $$00000-0002-0107-4496$$aTang, Wenfu$$b8
000888364 7001_ $$0P:(DE-HGF)0$$aBarré, Jérôme$$b9
000888364 7001_ $$00000-0002-5949-9307$$aWorden, Helen M.$$b10
000888364 7001_ $$00000-0001-8124-2455$$aBuchholz, Rebecca R.$$b11
000888364 7001_ $$0P:(DE-HGF)0$$aEdwards, David P.$$b12
000888364 7001_ $$0P:(DE-Juel1)162342$$aFranke, Philipp$$b13
000888364 7001_ $$0P:(DE-HGF)0$$aAnderson, Jeffrey L.$$b14
000888364 7001_ $$0P:(DE-HGF)0$$aSaunois, Marielle$$b15
000888364 7001_ $$0P:(DE-HGF)0$$aSchroeder, Jason$$b16
000888364 7001_ $$0P:(DE-HGF)0$$aWoo, Jung-Hun$$b17
000888364 7001_ $$0P:(DE-HGF)0$$aSimpson, Isobel J.$$b18
000888364 7001_ $$0P:(DE-HGF)0$$aBlake, Donald R.$$b19
000888364 7001_ $$0P:(DE-HGF)0$$aMeinardi, Simone$$b20
000888364 7001_ $$00000-0002-6126-3854$$aWennberg, Paul O.$$b21
000888364 7001_ $$00000-0001-5443-729X$$aCrounse, John$$b22
000888364 7001_ $$0P:(DE-HGF)0$$aTeng, Alex$$b23
000888364 7001_ $$0P:(DE-HGF)0$$aKim, Michelle$$b24
000888364 7001_ $$00000-0003-0206-3083$$aDickerson, Russell R.$$b25
000888364 7001_ $$00000-0002-6823-9603$$aHe, Hao$$b26
000888364 7001_ $$00000-0001-9974-1666$$aRen, Xinrong$$b27
000888364 7001_ $$0P:(DE-HGF)0$$aPusede, Sally E.$$b28
000888364 7001_ $$00000-0002-3617-0269$$aDiskin, Glenn S.$$b29
000888364 773__ $$0PERI:(DE-600)2069847-1$$a10.5194/acp-20-14617-2020$$gVol. 20, no. 23, p. 14617 - 14647$$n23$$p14617 - 14647$$tAtmospheric chemistry and physics$$v20$$x1680-7324$$y2020
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