globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2015.04.019
Scopus记录号: 2-s2.0-84928753440
论文题名:
Climate controls on air quality in the Northeastern U.S.: An examination of summertime ozone statistics during 1993-2012
作者: Oswald E; M; , Dupigny-Giroux L; -A; , Leibensperger E; M; , Poirot R; , Merrell J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 112
起始页码: 278
结束页码: 288
语种: 英语
英文关键词: Meteorology ; Northeastern U.S ; Teleconnections ; Tropospheric ozone
Scopus关键词: Air quality ; Linear regression ; Meteorology ; Principal component analysis ; Quality control ; Sun ; Time series ; Meteorological variables ; Multiple linear regressions ; Northeastern U.S ; Pacific decadal oscillation ; Principal components analysis ; Quasi-biennial oscillation ; Teleconnections ; Tropospheric ozone ; Ozone ; ozone ; air quality ; high temperature ; ozone ; precipitation (climatology) ; principal component analysis ; teleconnection ; temporal period ; troposphere ; air quality ; air temperature ; Article ; climate ; concentration (parameters) ; correlation analysis ; high temperature ; meteorological phenomena ; multiple linear regression analysis ; North Atlantic oscillation ; oscillation ; Pacific Decadal oscillation ; precipitation ; principal component analysis ; priority journal ; Quasi Biennial oscillation ; solar radiation ; statistical model ; summer ; time series analysis ; United States ; 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: The goal of this study is to better understand the linkages between the climate system and surface-level ozone concentrations in the Northeastern U.S. We focus on the regularity of observed high ozone concentrations between May 15 and August 30 during the 1993-2012 period. The first portion of this study establishes relationships between ozone and meteorological predictors. The second examines the linkages between ozone and large-scale teleconnections within the climate system. Statistical models for each station are constructed using a combination of Correlation Analysis, Principal Components Analysis and Multiple Linear Regression. In general, the strongest meteorological predictors of ozone are the frequency of high temperatures and precipitation and the amount of solar radiation flux. Statistical models of meteorological variables explain about 60-75% of the variability in the annual ozone time series, and have typical error-to-variability ratios of 0.50-0.65. Teleconnection patterns such as the Arctic Oscillation, Quasi-Biennial Oscillation and Pacific Decadal Oscillation are best linked to ozone in the region. Statistical models of these patterns explain 40-60% of the variability in the ozone annual time series, and have a typical error-to-variability ratio of 0.60-0.75. © 2015 The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81699
Appears in Collections:气候变化事实与影响

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作者单位: Postdocs Applying Climate Expertise Fellowship Program, University Corporation for Atmospheric Research, Boulder, CO, United States; Department of Geography, University of Vermont, Burlington, VT, United States; Center for Earth and Environmental Science, SUNY Plattsburgh, Plattsburgh, NY, United States; Air Quality and Climate Division, Vermont Department of Environmental Conservation, Vermont Agency of Natural Resources, Montpelier, VT, United States

Recommended Citation:
Oswald E,M,, Dupigny-Giroux L,et al. Climate controls on air quality in the Northeastern U.S.: An examination of summertime ozone statistics during 1993-2012[J]. Atmospheric Environment,2015-01-01,112
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