气候变化领域集成服务门户(CCPortal): Characterizing sources of high surface ozone events in the southwestern US with intensive field measurements and two global models

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DOI	10.5194/acp-20-10379-2020
	Characterizing sources of high surface ozone events in the southwestern US with intensive field measurements and two global models
	Zhang L.; Lin M.; O. Langford A.; W. Horowitz L.; J. Senff C.; Klovenski E.; Wang Y.; J. Alvarez Ii R.; Petropavlovskikh I.; Cullis P.; W. Sterling C.; Peischl J.; B. Ryerson T.; S. Brown S.; C. J. Decker Z.; Kirgis G.; Conley S.
发表日期	2020
ISSN	1680-7316
起始页码	10379
结束页码	10400
卷号	20 期号:17
英文摘要	The detection and attribution of high background ozone (O3) events in the southwestern US is challenging but relevant to the effective implementation of the lowered National Ambient Air Quality Standard (NAAQS; 70 ppbv). Here we leverage intensive field measurements from the Fires, Asian, and Stratospheric TransportLas Vegas Ozone Study (FAST-LVOS) in May June 2017, alongside highresolution simulations with two global models (GFDL-AM4 and GEOS-Chem), to study the sources of O3 during high-O3 events. We show possible stratospheric influence on 4 out of the 10 events with daily maximum 8 h average (MDA8) surface O3 above 65 ppbv in the greater Las Vegas region. While O3 produced from regional anthropogenic emissions dominates pollution events in the Las Vegas Valley, stratospheric intrusions can mix with regional pollution to push surface O3 above 70 ppbv. GFDL-AM4 captures the key characteristics of deep stratospheric intrusions consistent with ozonesondes, lidar profiles, and co-located measurements of O3, CO, and water vapor at Angel Peak, whereas GEOS-Chem has difficulty simulating the observed features and underestimates observed O3 by 20 ppbv at the surface. On days when observed MDA8 O3 exceeds 65 ppbv and the AM4 stratospheric ozone tracer shows 20 40 ppbv enhancements, GEOS-Chem simulates 15 ppbv lower US background O3 than GFDL-AM4. The two models also differ substantially during a wildfire event, with GEOS-Chem estimating 15 ppbv greater O3, in better agreement with lidar observations. At the surface, the two models bracket the observed MDA8 O3 values during the wildfire event. Both models capture the large-scale transport of Asian pollution, but neither resolves some fine-scale pollution plumes, as evidenced by aerosol backscatter, aircraft, and satellite measurements. US background O3 estimates from the two models differ by 5 ppbv on average (greater in GFDL-AM4) and up to 15 ppbv episodically. Uncertainties remain in the quantitative attribution of each event. Nevertheless, our multi-model approach tied closely to observational analysis yields some process insights, suggesting that elevated background O3 may pose challenges to achieving a potentially lower NAAQS level (e.g., 65 ppbv) in the southwestern US. © 2020 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	air quality; ambient air; anthropogenic source; atmospheric chemistry; atmospheric pollution; computer simulation; detection method; emission inventory; numerical model; ozone; point source; stratosphere; Las Vegas Valley; Nevada; United States
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/141115
作者单位	Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, United States; Noaa Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Noaa Chemical Science Laboratory, Boulder, CO, United States; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, United States; Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, United States; Noaa Global Monitoring Laboratory, Boulder, CO, United States; CandD Technologies Inc., Philadelphia, PA, United States; Department of Chemistry, University of Colorado, Boulder, CO, United States; Scientific Aviation Inc., Boulder, CO, United States; Department of Meteorology and Atmospheric Science, Pennsylvania State University, University Park, PA, United States
推荐引用方式 GB/T 7714	Zhang L.,Lin M.,O. Langford A.,et al. Characterizing sources of high surface ozone events in the southwestern US with intensive field measurements and two global models[J],2020,20(17).
APA	Zhang L..,Lin M..,O. Langford A..,W. Horowitz L..,J. Senff C..,...&Conley S..(2020).Characterizing sources of high surface ozone events in the southwestern US with intensive field measurements and two global models.Atmospheric Chemistry and Physics,20(17).
MLA	Zhang L.,et al."Characterizing sources of high surface ozone events in the southwestern US with intensive field measurements and two global models".Atmospheric Chemistry and Physics 20.17(2020).