DOI: 10.1016/j.atmosenv.2014.08.051
Scopus记录号: 2-s2.0-84906660624
论文题名: Model evaluation of methods for estimating surface emissions and chemical lifetimes from satellite data
作者: de Foy B ; , Wilkins J ; L ; , Lu Z ; , Streets D ; G ; , Duncan B ; N
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 98 起始页码: 66
结束页码: 77
语种: 英语
英文关键词: Air quality model
; Chemical lifetime
; Emission inventory
; Emissions estimation
; Satellite retrieval
Scopus关键词: Air quality
; Gaussian distribution
; Uncertainty analysis
; Air quality modeling
; Emission inventories
; Emissions estimation
; Life-time estimates
; Reliable estimates
; Satellite retrieval
; Single point source
; Surface emissions
; Model evaluation
; Satellite data
; Computer simulation
; air quality
; emission inventory
; numerical model
; optimization
; plume
; satellite data
; uncertainty analysis
; estimation method
; Gaussian method
; model test
; point source
; air quality
; air quality model
; article
; chemical reaction
; information retrieval
; lifespan
; meteorology
; model
; plume
; priority journal
; rotation
; surface property
; United States
; velocity
; air quality
; analytic method
; Article
; atmospheric dispersion
; box model
; density
; electromyogram
; exponentially modified gaussian fit
; geography
; inverse radius fit
; lifespan
; meteorology
; plume dispersion
; remote sensing
; surface property
; two dimensional gaussian fit
; uncertainty
; wind
; Atlanta
; Georgia
; 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: Column densities from satellite retrievals can provide valuable information for estimating emissions and chemical lifetimes objectively across the globe. To better understand the uncertainties associated with these estimates, we test four methods using simulated column densities from a point source: a box model approach, a 2D Gaussian fit, an Inverse Radius fit and an Exponentially-Modified Gaussian fit. The model results were simulated using the WRF and CAMx models for the year 2005, for a single point source outside Atlanta in Georgia, USA with specified emissions and three chemical scenarios: no chemical reactions, 12h chemical lifetime and 1h chemical lifetime. No other sources were included in the simulations. We find that the box model provides reliable estimates irrespective of plume speed and plume direction, if the plume speed and the chemical lifetime are known accurately. The 2D Gaussian fit was found to be sensitive to plume speed and direction, and requires omnidirectional dispersion in order to have a decent fit. However, the 2D Gaussian fit is only an approximate fit to the data, and the discrepancies mean that the results are dependent on the geographical domain used for the optimization. An Inverse Radius fit is introduced to correct this issue, which is found to provide improved emissions and lifetime estimates. The Exponentially-Modified Gaussian fit also gave improved estimates. It is however dependent on accurate plume rotation such that reported chemical lifetimes with this method could be significantly underestimated. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81228
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, United States; Decision and Information Sciences Division, Argonne National Laboratory, Argonne, IL, United States; Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Recommended Citation:
de Foy B,, Wilkins J,L,et al. Model evaluation of methods for estimating surface emissions and chemical lifetimes from satellite data[J]. Atmospheric Environment,2014-01-01,98