气候变化领域集成服务门户(CCPortal): Correcting model biases of CO in East Asia: Impact on oxidant distributions during KORUS-AQ

CCPortal

DOI	10.5194/acp-20-14617-2020
	Correcting model biases of CO in East Asia: Impact on oxidant distributions during KORUS-AQ
	Gaubert B.; K. Emmons L.; Raeder K.; Tilmes S.; Miyazaki K.; F. Arellano A.; Elguindi N.; Granier C.; Tang W.; Barré J.; M. Worden H.; R. Buchholz R.; P. Edwards D.; Franke P.; L. Anderson J.; Saunois M.; Schroeder J.; Woo J.-H.; J. Simpson I.; R. Blake D.; Meinardi S.; O. Wennberg P.; Crounse J.; Teng A.; Kim M.; R. Dickerson R.; He H.; Ren X.; E. Pusede S.; S. Diskin G.
发表日期	2020
ISSN	1680-7316
起始页码	14617
结束页码	14647
卷号	20 期号:23
英文摘要	Global 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 5.5ppbv, 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. © Author(s) 2020.
语种	英语
scopus关键词	air quality; atmospheric modeling; atmospheric pollution; carbon monoxide; data assimilation; Kalman filter; Northern Hemisphere; numerical model; oxidant; spatial distribution; China; North China Plain; South Korea
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/247326
作者单位	Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, United States; Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Dept. of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, United States; Laboratoire d'Aérologie, Cnrs, Université de Toulouse, Toulouse, France; Noaa Chemical Sciences Laboratory-CIRES/University of Colorado, Boulder, CO, United States; Advanced Study Program, National Center for Atmospheric Research, Boulder, CO, United States; European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom; Forschungszentrum Jülich GmbH, Institut für Energie und Klimaforschung IEK-8, Jülich, 52425, Germany; Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, Gif-sur-Yvette, 91191...
推荐引用方式 GB/T 7714	Gaubert B.,K. Emmons L.,Raeder K.,et al. Correcting model biases of CO in East Asia: Impact on oxidant distributions during KORUS-AQ[J],2020,20(23).
APA	Gaubert B..,K. Emmons L..,Raeder K..,Tilmes S..,Miyazaki K..,...&S. Diskin G..(2020).Correcting model biases of CO in East Asia: Impact on oxidant distributions during KORUS-AQ.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(23).
MLA	Gaubert B.,et al."Correcting model biases of CO in East Asia: Impact on oxidant distributions during KORUS-AQ".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.23(2020).