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DOI	10.1016/j.atmosenv.2020.117718
	Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003–2017
	Jin Q.; Crippa P.; Pryor S.C.
发表日期	2020
ISSN	1352-2310
卷号	239
英文摘要	Previous research has proposed use of satellite-retrieved aerosol optical depth (AOD) to generate geospatial assessments of near-surface PM2.5 mass concentrations and potentially to provide air quality forecasts. Spatiotemporal variability in PM2.5–AOD relationships over the eastern United States of America are analyzed using surface observations, satellite data, reanalysis data, and WRF-Chem simulations. Three primary metrics are analyzed: eta (η, the ratio of PM2.5 to AOD), the correlation coefficient (ρ) between daily values of PM2.5 to AOD, and hit rate (θ, defined as co-occurrence of high PM2.5 and AOD). It is shown that mean daily η exhibits substantial geospatial variability and a pronounced seasonal cycle. η computed for 301 EPA stations ranges from 21 to 155 μg m−3 and has a domain-wide median value of 70 μg m−3. Larger values of η occur in winter and fall. There is also evidence of diurnal variability in η. Lower values are derived in analyses using AOD from Terra (i.e. the morning overpass) than when AOD from the MODIS instrument onboard Aqua (i.e. the afternoon overpass). The spatial median η from Terra is 70 vs. 93 μg m−3 from Aqua. A majority of sites exhibit statistically significant lower values of η, ρ, and θ during 2013–2017 than 2003–2007, indicating a declining association between AOD and PM2.5. This has implications for the potential to use remotely-sensed AOD to generate geospatial estimates of near-surface PM2.5. The spatial distribution of η across the 301 locations exhibits a negative dependence on planetary boundary layer height and 10 m wind speed and a positive dependence on integrated humidity in lower troposphere, urban fraction, 2 m temperature, and vegetation coverage. Simulations with WRF-Chem indicate model-derived estimates of η, ρ, and θ are highly dependent on the aerosol scheme employed but the model captures some of the spatial variability and the correct dependence of η on meteorological and land use causes of that variability. © 2020 Elsevier Ltd
关键词	AOD MODIS Near-surface fine aerosol mass WRF-Chem
语种	英语
scopus关键词	Air quality; Boundary layer flow; Boundary layers; Land use; Optical properties; Overpasses; Wind; Aerosol optical depths; Air quality forecasts; Correlation coefficient; Planetary boundary layers; Spatial characteristics; Spatial variability; Spatiotemporal variability; United States of America; Aerosols; aerosol; air quality; Aqua (satellite); boundary layer; concentration (composition); MODIS; optical depth; particulate matter; satellite altimetry; satellite data; spatial analysis; spatiotemporal analysis; temporal analysis; aerosol; air quality; article; boundary layer; controlled study; correlation coefficient; humidity; land use; optical depth; simulation; troposphere; United States; vegetation; wind speed; winter; 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/249004
作者单位	Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853, United States; Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre DameIN 46556, United States
推荐引用方式 GB/T 7714	Jin Q.,Crippa P.,Pryor S.C.. Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003–2017[J],2020,239.
APA	Jin Q.,Crippa P.,&Pryor S.C..(2020).Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003–2017.ATMOSPHERIC ENVIRONMENT,239.
MLA	Jin Q.,et al."Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003–2017".ATMOSPHERIC ENVIRONMENT 239(2020).