DOI: 10.1016/j.atmosenv.2017.10.052
Scopus记录号: 2-s2.0-85036499699
论文题名: Impact of chemical lateral boundary conditions in a regional air quality forecast model on surface ozone predictions during stratospheric intrusions
作者: Pendlebury D ; , Gravel S ; , Moran M ; D ; , Lupu A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 174 起始页码: 148
结束页码: 170
语种: 英语
英文关键词: Air quality forecasting
; CalNex
; Chemical lateral boundary conditions
; Stratospheric intrusions
; Surface ozone
Scopus关键词: Air quality
; Climatology
; Forecasting
; Location
; Ozone
; Troposphere
; Air quality forecasting
; CalNex
; Lateral boundary conditions
; Stratospheric intrusions
; Surface ozone
; Boundary conditions
; ozone
; air quality
; atmospheric chemistry
; atmospheric modeling
; boundary condition
; climatology
; correlation
; forecasting method
; ozone
; prediction
; stratosphere
; tropopause
; aerosol
; air quality
; altitude
; Article
; biomass
; circadian rhythm
; climate
; controlled study
; dry deposition
; evolution
; experimental model
; forecasting
; humidity
; North America
; oscillation
; ozone layer
; precipitation
; priority journal
; season
; simulation
; stratosphere
; surface property
; troposphere
; weather
; North America
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: A regional air quality forecast model, GEM-MACH, is used to examine the conditions under which a limited-area air quality model can accurately forecast near-surface ozone concentrations during stratospheric intrusions. Periods in 2010 and 2014 with known stratospheric intrusions over North America were modelled using four different ozone lateral boundary conditions obtained from a seasonal climatology, a dynamically-interpolated monthly climatology, global air quality forecasts, and global air quality reanalyses. It is shown that the mean bias and correlation in surface ozone over the course of a season can be improved by using time-varying ozone lateral boundary conditions, particularly through the correct assignment of stratospheric vs. tropospheric ozone along the western lateral boundary (for North America). Part of the improvement in surface ozone forecasts results from improvements in the characterization of near-surface ozone along the lateral boundaries that then directly impact surface locations near the boundaries. However, there is an additional benefit from the correct characterization of the location of the tropopause along the western lateral boundary such that the model can correctly simulate stratospheric intrusions and their associated exchange of ozone from stratosphere to troposphere. Over a three-month period in spring 2010, the mean bias was seen to improve by as much as 5 ppbv and the correlation by 0.1 depending on location, and on the form of the chemical lateral boundary condition. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83099
Appears in Collections: 气候变化事实与影响
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作者单位: Environment and Climate Change Canada, 4905 Dufferin St., Toronto, Ontario, Canada; Environment and Climate Change Canada, 2121 Trans Canada Highway, Dorval, Quebec, Canada
Recommended Citation:
Pendlebury D,, Gravel S,, Moran M,et al. Impact of chemical lateral boundary conditions in a regional air quality forecast model on surface ozone predictions during stratospheric intrusions[J]. Atmospheric Environment,2018-01-01,174