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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| Reference Type | Citation | Progress Report Year | Document Sources |
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| Journal Article | 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) |
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| Journal Article | 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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| Journal Article | 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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| Journal Article | 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) |
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| Journal Article | 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 | 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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| Journal Article | Reich BJ, Chang HH, Foley KM. A spectral method for spatial downscaling. Biometrics 2014;70(4):932-942. |
R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R835228 (2013) R835228 (2014) R835228 (Final) |
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| Journal Article | 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) R835228 (2013) R835228 (2014) R835228 (Final) |
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| Journal Article | 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) |
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| Journal Article | 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) |
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| Journal Article | 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) R835228 (Final) |
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| Journal Article | 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 | Cooley DS. Tales of tail dependence. Presented at the Applied Math Colloquium, University of Colorado, Boulder, CO, December 6, 2013. |
R835228 (2013) R835228 (2014) R835228 (Final) |
not available |
| Presentation | Cooley DS. Tales of tail dependence. Presented at the Statistics Colloquium, University of New Mexico, Albuquerque, NM, November 15, 2013. |
R835228 (2013) R835228 (2014) R835228 (Final) |
not available |
| Presentation | 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) R835228 (2014) R835228 (Final) |
not available |
| Presentation | Cooley DS. Tales of tail dependence. Presented at the Statistics Department Colloquium, Brigham Young University, Provo, UT, February 13, 2014. |
R835228 (2013) R835228 (2014) R835228 (Final) |
not available |
| Presentation | 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) R835228 (2013) R835228 (2014) R835228 (Final) |
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| Presentation | 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) |
not available |
| Presentation | 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) |
not available |
| Presentation | Cooley D. Tail dependence and applications. Presented at the Extremes 2014 Symposium, Volkswagen Foundation, Hannover, Germany, October 6-7, 2014. |
R835228 (2014) R835228 (Final) |
not available |
| Presentation | 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 | 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 | 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) |
not available |
| Presentation | Heald C. Exploring air quality in a changing world. Presented at the Geophysical Fluid Dynamics Laboratory Seminar, Princeton, NJ, February 18, 2016. |
R835228 (Final) |
not available |
| Presentation | 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) |
not available |
| Presentation | 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) |
not available |
| Presentation | 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 | 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) R835228 (2014) R835228 (Final) |
not available |
| Presentation | 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 | 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) R835228 (2014) R835228 (Final) |
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| Presentation | 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) R835228 (2014) R835228 (Final) |
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| Presentation | 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) R835228 (2014) R835228 (Final) |
not available |
| Presentation | Russell B. Data mining for extreme behavior with application to ground level ozone. Presented at Clemson University, Clemson, SC, January-February 2015. |
R835228 (2014) R835228 (Final) |
not available |
| Presentation | 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) R835228 (Final) |
not available |
| Presentation | 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) R835228 (Final) |
not available |
| Presentation | 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) R835228 (Final) |
not available |
| Presentation | 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) |
not available |
| Presentation | 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) |
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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.