DOI: 10.1016/j.atmosenv.2017.12.036
Scopus记录号: 2-s2.0-85044443716
论文题名: Observed and predicted sensitivities of extreme surface ozone to meteorological drivers in three US cities
作者: Fix M ; J ; , Cooley D ; , Hodzic A ; , Gilleland E ; , Russell B ; T ; , Porter W ; C ; , Pfister G ; G
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 176 起始页码: 292
结束页码: 300
语种: 英语
英文关键词: Extreme value theory
; Meteorological variables
; Quantile regression
; Surface ozone
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 conduct a case study of observed and simulated maximum daily 8-h average (MDA8) ozone (O3) in three US cities for summers during 1996–2005. The purpose of this study is to evaluate the ability of a high resolution atmospheric chemistry model to reproduce observed relationships between meteorology and high or extreme O3. We employ regional coupled chemistry-transport model simulations to make three types of comparisons between simulated and observational data, comparing (1) tails of the O3 response variable, (2) distributions of meteorological predictor variables, and (3) sensitivities of high and extreme O3 to meteorological predictors. This last comparison is made using two methods: quantile regression, for the 0.95 quantile of O3, and tail dependence optimization, which is used to investigate even higher O3 extremes. Across all three locations, we find substantial differences between simulations and observational data in both meteorology and meteorological sensitivities of high and extreme O3. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83020
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Statistics, Colorado State University, 1877 Campus Delivery, Fort Collins, CO, United States; National Center for Atmospheric Research, Boulder, CO, United States; Department of Mathematical Sciences, Clemson University, Clemson, SC, United States; Department of Environmental Sciences, University of California, Riverside, CA, United States
Recommended Citation:
Fix M,J,, Cooley D,et al. Observed and predicted sensitivities of extreme surface ozone to meteorological drivers in three US cities[J]. Atmospheric Environment,2018-01-01,176