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DOI10.5194/acp-21-2527-2021
Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events
Tang Y.; Bian H.; Tao Z.; Oman L.D.; Tong D.; Lee P.; Campbell P.C.; Baker B.; Lu C.-H.; Pan L.; Wang J.; McQueen J.; Stajner I.
发表日期2021
ISSN1680-7316
起始页码2527
结束页码2550
卷号21期号:4
英文摘要The National Air Quality Forecast Capability (NAQFC) operated in the US National Oceanic and Atmospheric Administration (NOAA) provides the operational forecast guidance for ozone and fine particulate matter with aerodynamic diameters less than 2.5 um (PM2:5) over the contiguous 48 US states (CONUS) using the Community Multi-scale Air Quality (CMAQ) model. The existing NAQFC uses climatological chemical lateral boundary conditions (CLBCs), which cannot capture pollutant intrusion events originating outside of the model domain. In this study, we developed a model framework to use dynamic CLBCs from the Goddard Earth Observing System Model, version 5 (GEOS) to drive NAQFC. A mapping of the GEOS chemical species to CMAQ s CB05 AERO6 (Carbon Bond 5; version 6 of the aerosol module) species was developed. The utilization of the GEOS dynamic CLBCs in NAQFC showed the best overall performance in simulating the surface observations during the Saharan dust intrusion and Canadian wildfire events in summer 2015. The simulated PM2:5 was improved from 0.18 to 0.37, and the mean bias was reduced from-6:74 to-2:96 ugm-3 over CONUS. Although the effect of CLBCs on the PM2:5 correlation was mainly near the inflow boundary, its impact on the background concentrations reached further inside the domain. The CLBCs could affect background ozone concentrations through the inflows of ozone itself and its precursors, such as CO. It was further found that the aerosol optical thickness (AOT) from satellite retrievals correlated well with the column CO and elemental carbon from GEOS. The satellite-derived AOT CLBCs generally improved the model performance for the wildfire intrusion events during a summer 2018 case study and demonstrated how satellite observations of atmospheric composition could be used as an alternative method to capture the air quality effects of intrusions when the CLBCs of global models, such as GEOS CLBCs, are not available. © 2021 Association for Computing Machinery. All rights reserved.
语种英语
scopus关键词air quality; atmospheric pollution; comparative study; computer simulation; concentration (composition); numerical model; particulate matter; pollutant transport; prediction; 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/247129
作者单位Noaa Air Resources Laboratory, College Park, MD, United States; Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, United States; Nasa Goddard Space Flight Center, Greenbelt, MD, United States; University of Maryland, Baltimore County, Baltimore, MD, United States; Universities of Space Research Association, Columbia, MD, United States; Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY, United States; Joint Center for Satellite Data Assimilation, Boulder, CO, United States; Noaa Ncep Environmental Modeling Center, College Park, MD, United States; I. M. Systems Group Inc., Rockville, MD, United States; Department of Atmospheric, Oceanic Earth Sciences, George Mason University, Fairfax, VA, United States
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Tang Y.,Bian H.,Tao Z.,et al. Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events[J],2021,21(4).
APA Tang Y..,Bian H..,Tao Z..,Oman L.D..,Tong D..,...&Stajner I..(2021).Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(4).
MLA Tang Y.,et al."Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.4(2021).
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