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Grantee Research Project Results

Publications Details for Grant Number R835228

Using Advanced Statistical Techniques to Identify the Drivers and Occurrence of Historical and Future Extreme Air Quality Events in the United States from Observations and Models

RFA: Extreme Event Impacts on Air Quality and Water Quality with a Changing Global Climate (2011)

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Journal Article (12)
Presentation (26)
Reference Type Reference Title Journal Author Citation Progress Report Year Document Sources
Journal Article Observed and predicted sensitivities of extreme surface ozone to meteorological drivers in three US cities None Fix MJ, Cooley D, Hodzic A, Gilleland E, Russell BT, Porter WC, Pfister GG Fix MJ, Cooley D, Hodzic A, Gilleland E, Russell BT, Porter WC, Pfister GG. Observed and predicted sensitivities of extreme surface ozone to meteorological drivers in three US cities. Atmospheric Environment 2018;176:292-300. R835228 (Final)
  • Full-text: Science Direct-Full Text HTML
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  • Abstract: Science Direct-Abstract
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Journal Article A space-time skew-t model for threshold exceedances. BIOMETRICS Morris SA, Reich BJ, Thibaud E, Cooley D Morris SA, Reich BJ, Thibaud E, Cooley D. A space-time skew-t model for threshold exceedances. Biometrics 2017;73(3):749-758. R835228 (Final)
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  • Abstract: Wiley-Abstract
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Journal Article A multiresolution approach to estimating the value added by regional climate models. None Parker RJ, Reich BJ, Sain SR Parker RJ, Reich BJ, Sain SR. A multiresolution approach to estimating the value added by regional climate models. Journal of Climate 2015;28(22):8873-8887. R835228 (Final)
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  • Abstract: AMS-Abstract
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Journal Article Investigating the observed sensitivities of air-quality extremes to meteorological drivers via quantile regression. ATMOSPHERIC CHEMISTRY AND PHYSICS Porter WC, Heald CL, Cooley D, Russell B Porter WC, Heald CL, Cooley D, Russell B. Investigating the observed sensitivities of air-quality extremes to meteorological drivers via quantile regression. Atmospheric Chemistry and Physics 2015;15(18):10349-10366. R835228 (2014)
R835228 (Final)
  • Full-text: ACP-Full Text PDF
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  • Abstract: ACP-Abstract
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  • Other: ResearchGate-Full Text PDF
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Journal Article The mechanisms and meteorological drivers of the summertime ozone-temperature relationship ATMOSPHERIC CHEMISTRY AND PHYSICS Porter W, Heald C Porter W, Heald C. The mechanisms and meteorological drivers of the summertime ozone-temperature relationship. ATMOSPHERIC CHEMISTRY AND PHYSICS 2019;19(20):13367-13381. R835228 (Final)
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Journal Article A hierarchical max-stable spatial model for extreme precipitation. ANNALS OF APPLIED STATISTICS Reich BJ, Shaby BA Reich BJ, Shaby BA. A hierarchical max-stable spatial model for extreme precipitation. Annals of Applied Statistics 2012;6(4):1430-1451. R835228 (2013)
R835228 (2014)
R835228 (Final)
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  • Abstract: Project Euclid-Abstract
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  • Other: NC State University-Full Text PDF
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Journal Article A spectral method for spatial downscaling. None Reich BJ, Chang HH, Foley KM Reich BJ, Chang HH, Foley KM. A spectral method for spatial downscaling. Biometrics 2014;70(4):932-942. R834799 (2014)
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R835228 (2013)
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  • Abstract: Wiley-Abstract
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Journal Article Extreme value analysis for evaluating ozone control strategies. ANNALS OF APPLIED STATISTICS Reich B, Cooley D, Foley K, Napelenok S, Shaby B Reich B, Cooley D, Foley K, Napelenok S, Shaby B. Extreme value analysis for evaluating ozone control strategies. Annals of Applied Statistics 2013;7(2):739-762. R835228 (2012)
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  • Full-text: Project Euclid-Full Text PDF
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  • Abstract: Project Euclid-Abstract
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  • Other: NC State University-Full Text PDF
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Journal Article Data mining to investigate the meteorological drivers for extreme ground level ozone events. None Russell BT, Cooley DS, Porter WC, Reich BJ, Heald CL Russell BT, Cooley DS, Porter WC, Reich BJ, Heald CL. Data mining to investigate the meteorological drivers for extreme ground level ozone events. Annals of Applied Statistics 2016;10(3):1673-1698. R835228 (2013)
R835228 (Final)
  • Full-text: arXiv.org-Full Text (prepublication)
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  • Abstract: Project Euclid-Abstract
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Journal Article Modeling the spatial behavior of the meteorological drivers' effects on extreme ozone. None Russell BT, Cooley DS, Porter WC, Heald CL Russell BT, Cooley DS, Porter WC, Heald CL. Modeling the spatial behavior of the meteorological drivers' effects on extreme ozone. Environmetrics 2016;27(6):334-344. R835228 (Final)
  • Abstract: Wiley Online-Abstract
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Journal Article False discovery control in large-scale spatial multiple testing. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY Sun W, Reich BJ, Cai TT, Guindani M, Schwartzman A Sun W, Reich BJ, Cai TT, Guindani M, Schwartzman A. False discovery control in large-scale spatial multiple testing. Journal of the Royal Statistical Society: Series B, Statistical Methodology 2015;77(1):59-83. R835228 (2013)
R835228 (2014)
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  • Full-text: University of Pennsylvania-Full Text PDF
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  • Abstract: Wiley Online-Abstract
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Journal Article Climate change impacts on projections of excess mortality at 2030 using spatially varying ozone-temperature risk surfaces. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY Wilson A, Reich BJ, Nolte CG, Spero TL, Hubbell B, Rappold AG Wilson A, Reich BJ, Nolte CG, Spero TL, Hubbell B, Rappold AG. Climate change impacts on projections of excess mortality at 2030 using spatially varying ozone-temperature risk surfaces. Journal of Exposure Science and Environmental Epidemiology 2017;27(1):118-124. R835228 (Final)
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Presentation Tales of tail dependence. None Cooley DS Cooley DS. Tales of tail dependence. Presented at the Applied Math Colloquium, University of Colorado, Boulder, CO, December 6, 2013. R835228 (2013)
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Presentation Tales of tail dependence. None Cooley DS Cooley DS. Tales of tail dependence. Presented at the Statistics Colloquium, University of New Mexico, Albuquerque, NM, November 15, 2013. R835228 (2013)
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Presentation Describing dependence in the tail, and applications. None Cooley DS Cooley DS. Describing dependence in the tail, and applications. Poster presented at the National Academy of Sciences, Kavli Frontiers of Science, 19th German-American Symposium, Irvine, CA, April 4-6, 2014. R835228 (2013)
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Presentation Tales of tail dependence. None Cooley DS Cooley DS. Tales of tail dependence. Presented at the Statistics Department Colloquium, Brigham Young University, Provo, UT, February 13, 2014. R835228 (2013)
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Presentation Data mining for extreme behavior: investigating the causes of extreme ground-level ozone observations. None Cooley D, Russell B Cooley D, Russell B. Data mining for extreme behavior: investigating the causes of extreme ground-level ozone observations. Presented at the 8th Conference on Extreme Value Analysis, Fudan University, Shanghai, China, July 8-12, 2013. R835228 (2012)
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Presentation Data mining for extreme behavior and application to ground level ozone. None Cooley D Cooley D. Data mining for extreme behavior and application to ground level ozone. Presented to the Department of Statistics, Oregon State University, Corvallis, OR, November 3, 2014. R835228 (2014)
R835228 (Final)
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Presentation Regular variation and extremes in atmospheric science. None Cooley D Cooley D. Regular variation and extremes in atmospheric science. Presented to the Department of Statistics, University of Washington, Seattle WA, October 20, 2014. R835228 (2014)
R835228 (Final)
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Presentation Tail dependence and applications. None Cooley D Cooley D. Tail dependence and applications. Presented at the Extremes 2014 Symposium, Volkswagen Foundation, Hannover, Germany, October 6-7, 2014. R835228 (2014)
R835228 (Final)
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Presentation Data mining for extreme behavior and application to ground level ozone. None Cooley D Cooley D. Data mining for extreme behavior and application to ground level ozone. Presented to the Department of Biostatistics, Yale University, New Haven, CT, April 14, 2015. R835228 (2014)
R835228 (Final)
not available
Presentation Data mining to investigate the meteorological drivers of extreme ozone. None Cooley D Cooley D. Data mining to investigate the meteorological drivers of extreme ozone. Presented at the Mathematics and Statistics of Quantitative Risk Management Workshop, Mathematisches Forschungsinstitut Oberwolfach, Oberwolfach, Germany, September 20-26, 2015. R835228 (2014)
R835228 (Final)
not available
Presentation Atmospheric aerosols in the 21st century: reports of their demise have been greatly exaggerated. None Heald C Heald C. Atmospheric aerosols in the 21st century: reports of their demise have been greatly exaggerated. Presented at the Carnegie Mellon University Seminar, Pittsburgh, PA, March 6, 2015. R835228 (Final)
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Presentation Exploring air quality in a changing world. None Heald C Heald C. Exploring air quality in a changing world. Presented at the Geophysical Fluid Dynamics Laboratory Seminar, Princeton, NJ, February 18, 2016. R835228 (Final)
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Presentation A space-time Skew-T model for threshold exceedances. None Morris S Morris S. A space-time Skew-T model for threshold exceedances. Presented at the Joint Statistical Meetings (JSM) 2015, Seattle, WA, August 8-13, 2015. R835228 (2014)
R835228 (Final)
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Presentation A space-time Skew-T model for threshold exceedances. None Morris S Morris S. A space-time Skew-T model for threshold exceedances. Presented at the Joint Statistical Meetings (JSM) 2016, Chicago, IL, August 2016. R835228 (Final)
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Presentation Examining the observed and modeled sensitivities of air-quality extremes to meteorological drivers using advanced statistical techniques. None Porter WC, Russell BT, Cooley DS, Heald CL Porter WC, Russell BT, Cooley DS, Heald CL. Examining the observed and modeled sensitivities of air-quality extremes to meteorological drivers using advanced statistical techniques. Presented at the Annual Fall Meeting of the American Geophysical Union (AGU), San Francisco, CA, December 15-19, 2014 (Abstract GC33G-04). R835228 (2014)
R835228 (Final)
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Presentation Examining the observed and modeled sensitivities of air-quality extremes to meteorological drivers using advanced statistical techniques. None Porter W Porter W. Examining the observed and modeled sensitivities of air-quality extremes to meteorological drivers using advanced statistical techniques. Presented at the 19th Annual Community Earth System Model (CESM) Workshop, Breckenridge, CO, June 16-19, 2014. R835228 (2013)
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Presentation Examining the observed and modeled sensitivities of air-quality extremes to meteorological drivers using advanced statistical techniques. None Porter W, Russell BT, Cooley DS, Heald CL Porter W, Russell BT, Cooley DS, Heald CL. Examining the observed and modeled sensitivities of air-quality extremes to meteorological drivers using advanced statistical techniques. Presented at the 13th IGAC Science Conference on Atmospheric Chemistry, Natal, Brazil, September 22-26, 2014 (plenary presentation). R835228 (2014)
R835228 (Final)
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Presentation Spatiotemporal modeling of extreme events. None Reich BJ, Morris S Reich BJ, Morris S. Spatiotemporal modeling of extreme events. Presented at the Joint Statistical Meetings (JSM) 2014, Boston, MA, August 2-7, 2014 (invited). R835228 (2013)
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Presentation Data mining for extreme behavior with application to ground level ozone. None Russell BT, Cooley DS, Porter WC, Heald C, Reich B Russell BT, Cooley DS, Porter WC, Heald C, Reich B. Data mining for extreme behavior with application to ground level ozone. Presented at the Joint Statistical Meetings (JSM) 2014, Boston, MA, August 2-7, 2014. R835228 (2013)
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Presentation Data mining for extreme behavior with application to ground level ozone. None Russell BT Russell BT. Data mining for extreme behavior with application to ground level ozone. Presented at the SIAM Conference on Uncertainty Quantification, Savannah, GA, March 31-April 3, 2014 (invited). R835228 (2013)
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Presentation Data mining for extreme behavior with application to ground level ozone. None Russell B Russell B. Data mining for extreme behavior with application to ground level ozone. Presented at Clemson University, Clemson, SC, January-February 2015. R835228 (2014)
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Presentation Data mining for extreme behavior with application to ground level ozone. None Russell B Russell B. Data mining for extreme behavior with application to ground level ozone. Presented at the University of Alaska, Anchorage, AK, January-February 2015. R835228 (2014)
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Presentation Data mining for extreme behavior with application to ground level ozone. None Russell B Russell B. Data mining for extreme behavior with application to ground level ozone. Presented at Kansas State University, Manhattan, KS, January-February 2015. R835228 (2014)
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Presentation Data mining for extreme behavior with application to ground level ozone. None Russell B Russell B. Data mining for extreme behavior with application to ground level ozone. Presented at Northern Arizona University, Flagstaff, AZ, January-February 2015. R835228 (2014)
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Presentation Data mining for extreme behavior with application to ground level ozone. None Russell B Russell B. Data mining for extreme behavior with application to ground level ozone. Presented at the Extreme Value Analysis Conference, Ann Arbor, MI, June 15-19, 2015. R835228 (2014)
R835228 (Final)
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Presentation Projecting excess mortality in 2030 with spatially-varying ozone-temperature risk surfaces. None Wilson A, Reich BJ, Nolte CG, Spero TL, Hubbell B, Rappold AG Wilson A, Reich BJ, Nolte CG, Spero TL, Hubbell B, Rappold AG. Projecting excess mortality in 2030 with spatially-varying ozone-temperature risk surfaces. Presented at the 27th Conference of the International Society for Environmental Epidemiology, Sao Paulo, Brazil, August 30-September 3, 2015. R835228 (2014)
  • Abstract: EHP - Abstract HTML

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