DOI: 10.1016/j.atmosenv.2015.07.024
Scopus记录号: 2-s2.0-84938778344
论文题名: Spatial and temporal variability of trace gas columns derived from WRF/Chem regional model output: Planning for geostationary observations of atmospheric composition
作者: Follette-Cook M ; B ; , Pickering K ; E ; , Crawford J ; H ; , Duncan B ; N ; , Loughner C ; P ; , Diskin G ; S ; , Fried A ; , Weinheimer A ; J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 118 起始页码: 28
结束页码: 44
语种: 英语
英文关键词: Air quality
; DISCOVER-AQ
; Geostationary
; TEMPO
; Variability
; WRF/Chem
Scopus关键词: Air quality
; Air quality standards
; Atmospheric chemistry
; Balloons
; Geostationary satellites
; NASA
; Orbits
; Pollution
; Troposphere
; Weather forecasting
; DISCOVER-AQ
; Geostationary
; TEMPO
; Variability
; WRF/Chem
; Atmospheric composition
; carbon dioxide
; formaldehyde
; nitrogen dioxide
; ozone
; sulfur dioxide
; volatile organic compound
; air quality
; atmospheric chemistry
; atmospheric modeling
; atmospheric plume
; atmospheric pollution
; carbon monoxide
; chemical composition
; environmental monitoring
; geostationary satellite
; instrumentation
; nitrogen dioxide
; oxide
; ozone
; spatiotemporal analysis
; trace gas
; air pollution
; air pollution control
; air quality
; air quality standard
; altitude
; Article
; atmosphere
; gas analysis
; measurement accuracy
; meteorology
; photochemistry
; plume
; priority journal
; remote sensing
; simulation
; spatial analysis
; structure analysis
; surface property
; temporal analysis
; United States
; urban area
; Atlantic Ocean
; Baltimore
; Maryland
; Middle Atlantic Bight
; United States
; Washington [United States]
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: We quantify both the spatial and temporal variability of column integrated O3, NO2, CO, SO2, and HCHO over the Baltimore/Washington, DC area using output from the Weather Research and Forecasting model with on-line chemistry (WRF/Chem) for the entire month of July 2011, coinciding with the first deployment of the NASA Earth Venture program mission Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ). Using structure function analyses, we find that the model reproduces the spatial variability observed during the campaign reasonably well, especially for O3. The Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument will be the first NASA mission to make atmospheric composition observations from geostationary orbit and partially fulfills the goals of the Geostationary Coastal and Air Pollution Events (GEO-CAPE) mission. We relate the simulated variability to the precision requirements defined by the science traceability matrices of these space-borne missions. Results for O3 from 0 to 2 km altitude indicate that the TEMPO instrument would be able to observe O3 air quality events over the Mid-Atlantic area, even on days when the violations of the air quality standard are not widespread. The results further indicated that horizontal gradients in CO from 0 to 2 km would be observable over moderate distances (≥20 km). The spatial and temporal results for tropospheric column NO2 indicate that TEMPO would be able to observe not only the large urban plumes at times of peak production, but also the weaker gradients between rush hours. This suggests that the proposed spatial and temporal resolutions for these satellites as well as their prospective precision requirements are sufficient to answer the science questions they are tasked to address. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81552
Appears in Collections: 气候变化事实与影响
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作者单位: Morgan State University, GESTAR, United States; NASA Goddard Space Flight Center, United States; NASA Langley Research Center, United States; Earth System Science Interdisciplinary Center, University of Maryland, United States; University of Colorado, United States; National Center for Atmospheric Research, United States
Recommended Citation:
Follette-Cook M,B,, Pickering K,et al. Spatial and temporal variability of trace gas columns derived from WRF/Chem regional model output: Planning for geostationary observations of atmospheric composition[J]. Atmospheric Environment,2015-01-01,118