Articles | Volume 15, issue 18
https://doi.org/10.5194/acp-15-10349-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-10349-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Investigating the observed sensitivities of air-quality extremes to meteorological drivers via quantile regression
W. C. Porter
CORRESPONDING AUTHOR
Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
C. L. Heald
Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
D. Cooley
Colorado State University, Fort Collins, Colorado, USA
B. Russell
Colorado State University, Fort Collins, Colorado, USA
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40 citations as recorded by crossref.
- Quantifying PM2.5-meteorology sensitivities in a global climate model D. Westervelt et al. 10.1016/j.atmosenv.2016.07.040
- Drivers of the fungal spore bioaerosol budget: observational analysis and global modeling R. Janssen et al. 10.5194/acp-21-4381-2021
- Spatial cluster detection of regression coefficients in a mixed‐effects model J. Lee et al. 10.1002/env.2578
- Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes X. Li et al. 10.1016/j.atmosenv.2019.117181
- Explicit Modeling of Meteorological Explanatory Variables in Short-Term Forecasting of Maximum Ozone Concentrations via a Multiple Regression Time Series Framework S. Iglesias-Gonzalez et al. 10.3390/atmos11121304
- Trends of multiple air pollutants emissions from residential coal combustion in Beijing and its implication on improving air quality for control measures Y. Xue et al. 10.1016/j.atmosenv.2016.08.004
- How waviness in the circulation changes surface ozone: a viewpoint using local finite-amplitude wave activity W. Sun et al. 10.5194/acp-19-12917-2019
- Quantifying impacts of crop residue burning in the North China Plain on summertime tropospheric ozone over East Asia M. Ma et al. 10.1016/j.atmosenv.2018.09.018
- Assessing the impact of local meteorological variables on surface ozone in Hong Kong during 2000–2015 using quantile and multiple line regression models W. Zhao et al. 10.1016/j.atmosenv.2016.08.077
- Identifying meteorological drivers of PM 2.5 levels via a Bayesian spatial quantile regression S. Self et al. 10.1002/env.2669
- Comparison of multiple PM2.5 exposure products for estimating health benefits of emission controls over New York State, USA X. Jin et al. 10.1088/1748-9326/ab2dcb
- Impacts of future land use and land cover change on mid-21st-century surface ozone air quality: distinguishing between the biogeophysical and biogeochemical effects L. Wang et al. 10.5194/acp-20-11349-2020
- The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. 10.5194/acp-16-4927-2016
- On the association between high outdoor thermo-hygrometric comfort index and severe ground-level ozone: A first investigation S. Falasca et al. 10.1016/j.envres.2020.110306
- US surface ozone trends and extremes from 1980 to 2014: quantifying the roles of rising Asian emissions, domestic controls, wildfires, and climate M. Lin et al. 10.5194/acp-17-2943-2017
- Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China H. Han et al. 10.5194/acp-20-203-2020
- Spatial and temporal analyses of air pollutants and meteorological driving forces in Beijing–Tianjin–Hebei region, China Z. Hu et al. 10.1007/s12665-018-7705-y
- Low-cost biomonitoring and high-resolution, scalable models of urban metal pollution M. Messager et al. 10.1016/j.scitotenv.2020.144280
- The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways C. Nolte et al. 10.5194/acp-18-15471-2018
- Characterizing Weekly Cycles of Particulate Matter in a Coastal Megacity: The Importance of a Seasonal, Size‐Resolved, and Chemically Speciated Analysis M. Hilario et al. 10.1029/2020JD032614
- The impact of atmospheric blocking on the compounding effect of ozone pollution and temperature: a copula-based approach N. Otero et al. 10.5194/acp-22-1905-2022
- A multi-model comparison of meteorological drivers of surface ozone over Europe N. Otero et al. 10.5194/acp-18-12269-2018
- Regional temperature-ozone relationships across the U.S. under multiple climate and emissions scenarios C. Nolte et al. 10.1080/10962247.2021.1970048
- Climate Change Penalty to Ozone Air Quality: Review of Current Understandings and Knowledge Gaps T. Fu & H. Tian 10.1007/s40726-019-00115-6
- HAVA KALİTE İNDEKSİ İLE METEOROLOJİK PARAMETRELER ARASINDAKİ İLİŞKİNİN ÇOKLU REGRESYON YÖNTEMİ İLE BELİRLENMESİ C. KARAKUŞ & S. YILDIZ 10.28948/ngumuh.598118
- Regional trend analysis of surface ozone observations from monitoring networks in eastern North America, Europe and East Asia K. Chang et al. 10.1525/elementa.243
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- The impact of meteorological persistence on the distribution and extremes of ozone W. Sun et al. 10.1002/2016GL071731
- Surface Ozone‐Meteorology Relationships: Spatial Variations and the Role of the Jet Stream G. Kerr et al. 10.1029/2020JD032735
- Improved estimation of trends in U.S. ozone concentrations adjusted for interannual variability in meteorological conditions B. Wells et al. 10.1016/j.atmosenv.2021.118234
- Extremal dependence between temperature and ozone over the continental US P. Phalitnonkiat et al. 10.5194/acp-18-11927-2018
- Analysis of PM2.5 pollution episodes in Beijing from 2014 to 2017: Classification, interannual variations and associations with meteorological features J. Sun et al. 10.1016/j.atmosenv.2019.06.015
- Estimation and uncertainty quantification for extreme quantile regions B. Beranger et al. 10.1007/s10687-019-00364-0
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3 citations as recorded by crossref.
- Spatially modeling the effects of meteorological drivers of PM2.5in the Eastern United States via a local linear penalized quantile regression estimator B. Russell et al. 10.1002/env.2448
- Modeling the spatial behavior of the meteorological drivers' effects on extreme ozone B. Russell et al. 10.1002/env.2406
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