气候变化领域集成服务门户(CCPortal): Evaluation of NASA's high-resolution global composition simulations: Understanding a pollution event in the Chesapeake Bay during the summer 2017 OWLETS campaign

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DOI	10.1016/j.atmosenv.2019.117133
	Evaluation of NASA's high-resolution global composition simulations: Understanding a pollution event in the Chesapeake Bay during the summer 2017 OWLETS campaign
	Dacic N.; Sullivan J.T.; Knowland K.E.; Wolfe G.M.; Oman L.D.; Berkoff T.A.; Gronoff G.P.
发表日期	2020
ISSN	1352-2310
卷号	222
英文摘要	Recirculation of pollutants due to a bay breeze effect is a key meteorological mechanism impacting air quality near urban coastal areas, but regional and global chemical transport models have historically struggled to capture this phenomenon. We present a case study of a high ozone (O3) episode observed over the Chesapeake Bay during the NASA Ozone Water-Land Environmental Transition Study (OWLETS) in summer 2017. OWLETS included a complementary suite of ground-based and airborne observations, with which we characterize the meteorological and chemical context of this event and develop a framework to evaluate model performance. Two publicly-available NASA global high-resolution coupled chemistry-meteorology models (CCMMs) are investigated: GEOS-CF and MERRA2-GMI. The GEOS-CF R2 value for comparisons between the NASA Sherpa C-23 aircraft measurements to the GEOS-CF resulted in good agreement (R2: 0.67) on July 19th and fair agreement (R2: 0.55) for July 20th. Compared to surface observations, we find the GEOS-CF product with a 25 × 25 km2 grid box, at an hourly (R2: 0.62 to 0.87) and 15-min (R2: 0.64 to 0.87) interval for six regional sites outperforms the hourly nominally 50 × 50 km2 gridded MERRA2-GMI (R2: 0.53 to 0.76) for four of the six sites, suggesting it is better capable of simulating complex chemical and meteorological features associated with ozone transport within the Chesapeake Bay airshed. When the GEOS-CF product was compared to the TOLNet LiDAR observations at both NASA Langley Research Center (LaRC) and the Chesapeake Bay Bridge Tunnel (CBBT), the median differences at LaRC were −6 to 8% and at CBBT were ±7% between 400 and 2000 m ASL. This indicates that, for this case study, the GEOS-CF is able to simulate surface level ozone diurnal cycles and vertical ozone profiles at small scales between the surface level and 2000 m ASL. Evaluating global chemical model simulations at sub-regional scales will help air quality scientists understand the complex processes occurring at small spatial and temporal scales within complex surface terrain changes, simulating nighttime chemistry and deposition, and the potential to use global chemical transport simulations in support of regional and sub-regional field campaigns. © 2019
英文关键词	Chesapeake bay; GEOS-CF; Global model; Model evaluation; Ozone; Ozone LIDAR
语种	英语
scopus关键词	Air quality; Atmospheric movements; NASA; Optical radar; Urban transportation; Chemical transport models; Chesapeake Bay; Complex surface terrain; Global modeling; Model evaluation; NASA Langley Research Center; Spatial and temporal scale; Vertical ozone profile; Ozone; ozone; air quality; atmospheric chemistry; atmospheric modeling; atmospheric pollution; EOS; global change; lidar; ozone; simulation; spatial resolution; summer; aerosol; air pollution; air quality; boundary layer; circadian rhythm; coastal waters; comparative study; controlled study; marine environment; ozone depletion; priority journal; space flight; summer; surface property; uncertainty; Chesapeake Bay; United States
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/129646
作者单位	Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States; Science Systems and Applications Inc. (SSAI), LanhamMD 20706, United States; Universities Space Research Association (USRA)/Goddard Earth Science Technology & Research (GESTAR), Columbia, MD 21046, United States; Global Modeling and Assimilation Office (GMAO), NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States; Joint Center for Earth Systems Technology (JCET), University of Maryland, Baltimore County, Baltimore, MD 21250, United States; NASA Langley Research Center, Hampton, VA 23666, United States; Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI 48109, United States
推荐引用方式 GB/T 7714	Dacic N.,Sullivan J.T.,Knowland K.E.,et al. Evaluation of NASA's high-resolution global composition simulations: Understanding a pollution event in the Chesapeake Bay during the summer 2017 OWLETS campaign[J],2020,222.
APA	Dacic N..,Sullivan J.T..,Knowland K.E..,Wolfe G.M..,Oman L.D..,...&Gronoff G.P..(2020).Evaluation of NASA's high-resolution global composition simulations: Understanding a pollution event in the Chesapeake Bay during the summer 2017 OWLETS campaign.Atmospheric Environment,222.
MLA	Dacic N.,et al."Evaluation of NASA's high-resolution global composition simulations: Understanding a pollution event in the Chesapeake Bay during the summer 2017 OWLETS campaign".Atmospheric Environment 222(2020).