DOI: 10.1016/j.atmosenv.2014.07.048
Scopus记录号: 2-s2.0-84905365317
论文题名: Insight into the numerical challenges of implementing 2-dimensional SOA models in atmospheric chemical transport models
作者: Napier W ; J ; , Ensberg J ; J ; , Seinfeld J ; H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 96 起始页码: 331
结束页码: 344
语种: 英语
英文关键词: 2-Dimensional SOA model
; Chemical transport model
; Computational efficiency
; Probability distribution
; Secondary organic aerosol
Scopus关键词: Aerosols
; Carbon
; Computational efficiency
; Monte Carlo methods
; Oxygen
; Probability distributions
; Chemical transport models
; Computational burden
; Mathematical frameworks
; Numerical challenges
; Oxidation state
; Secondary organic aerosols
; SOA modeling
; Two-dimensional grids
; Method of moments
; carbon
; oxygen
; tracer
; aerosol
; atmospheric chemistry
; mapping
; numerical model
; probability
; thermodynamic property
; three-dimensional modeling
; advection
; algorithm
; article
; atmosphere
; atmospheric chemical transport
; atmospheric chemical transport model
; dry deposition
; fragmentation reaction
; gas
; model
; molecular weight
; normal distribution
; oxidation
; priority journal
; probability
; secondary organic aerosol
; thermodynamics
; two dimensional secondary organic aerosol model
; vapor pressure
; wet deposition
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: The new generation of secondary organic aerosol (SOA) models that represent gas- and particle-phase chemistry and thermodynamic partitioning using discrete two-dimensional grids (e.g. SOM, 2D-VBS) cannot be efficiently implemented into three-dimensional atmospheric chemical transport models (CTMs) due to the large number of bins (tracers) required. In this study, we introduce a novel mathematical framework, termed the Oxidation State/Volatility Moment Method, that is designed to address these computational burdens so as to allow the new generation of SOA models to be implemented into CTMs. This is accomplished by mapping the two-dimensional grids onto probability distributions that conserve carbon and oxygen mass. Assessment of the Moment Method strengths (speed, carbon and oxygen conservation) and weaknesses (numerical drift) provide valuable insight that can guide future development of SOA modules for atmospheric CTMs. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80814
Appears in Collections: 气候变化事实与影响
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作者单位: Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, United States; Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Napier W,J,, Ensberg J,et al. Insight into the numerical challenges of implementing 2-dimensional SOA models in atmospheric chemical transport models[J]. Atmospheric Environment,2014-01-01,96