@article{wells_dolwick_eder_evangelista_foley_mannshardt_misenis_weishampel_2021, title={Improved estimation of trends in US ozone concentrations adjusted for interannual variability in meteorological conditions}, volume={248}, ISSN={["1873-2844"]}, DOI={10.1016/j.atmosenv.2021.118234}, abstractNote={Daily maximum 8-hour average (MDA8) ozone (O3) concentrations are well-known to be influenced by local meteorological conditions, which vary across both daily and seasonal temporal scales. Previous studies have adjusted long-term trends in O3 concentrations for meteorological effects using various statistical and mathematical methods in order to get a better estimate of the long-term changes in O3 concentrations due to changes in precursor emissions such as nitrogen oxides (NOX) and volatile organic compounds (VOCs). In this work, the authors present improvements to the current method used by the United States Environmental Protection Agency (US EPA) to adjust O3 trends for meteorological influences by making refinements to the input data sources and by allowing the underlying statistical model to vary locally using a variable selection procedure. The current method is also expanded by using a quantile regression model to adjust trends in the 90th and 98th percentiles of the distribution of MDA8 O3 concentrations, allowing for a better understanding of the effects of local meteorology on peak O3 levels in addition to seasonal average concentrations. The revised method is used to adjust trends in the May to September mean, 90th percentile, and 98th percentile MDA8 O3 concentrations at over 700 monitoring sites in the U.S. for years 2000 to 2016. The utilization of variable selection and quantile regression allow for a more in-depth understanding of how weather conditions affect O3 levels in the U.S. This represents a fundamental advancement in our ability to understand how interannual variability in weather conditions in the U.S. may impact attainment of the O3 National Ambient Air Quality Standards (NAAQS).}, journal={ATMOSPHERIC ENVIRONMENT}, author={Wells, Benjamin and Dolwick, Pat and Eder, Brian and Evangelista, Mark and Foley, Kristen and Mannshardt, Elizabeth and Misenis, Chris and Weishampel, Anthony}, year={2021}, month={Mar} }
 @article{yu_dennis_roselle_nenes_walker_eder_schere_swall_robarge_2005, title={An assessment of the ability of three-dimensional air quality models with current thermodynamic equilibrium models to predict aerosol NO3-}, volume={110}, ISSN={["2169-8996"]}, DOI={10.1029/2004jd004718}, abstractNote={The partitioning of total nitrate (TNO3) and total ammonium (TNH4) between gas and aerosol phases is studied with two thermodynamic equilibrium models, ISORROPIA and the aerosol inorganics model (AIM), and three data sets: high time resolution measurement data from the 1999 Atlanta Supersite Experiment (summer case) and the 2002 Pittsburgh Air Quality Study (PAQS) Supersite Experiment (winter case), and 12‐hour measurement data from the Clinton site, North Carolina, in 1999. At the Atlanta site, both models reproduced a large percentage of the observed aerosol NH4+ and HNO3 (NH4+: >94% and HNO3: >86%) within a factor of 1.5, whereas neither model reproduced a majority of observed aerosol NO3− and NH3 (NO3−: <48% and NH3: <51%) within a factor of 2. At the Pittsburgh site, both models reproduced more than 76% of observed NO3− within a factor of 2. At the Clinton site, both models performed a little better on aerosol NO3− (47–58% within a factor of 1.5) than at the Atlanta site but worse than at the Pittsburgh site. Sensitivity test of thermodynamic models with Gaussian random errors indicates that in many cases, measurement errors in SO42− and TNH4 can explain a major fraction of the discrepancies between the equilibrium model predictions and observations in partitioning of TNO3. Comparison of predictions of the three‐dimensional (3‐D) Community Multiscale Air Quality (CMAQ) model with the observations over the continental United States indicates that the performance of the 3‐D model for NO3−, HNO3, NH4+, and NH3 strongly depends on its performance for TNO3, TNH4, and SO42−. Tests show that errors associated with SO42− and TNH4 predictions of the 3‐D model can result in the thermodynamic model calculation replicating only 47% and 60% of base case NO3− within a factor of 2 for summer and winter cases, respectively. It was found that errors in TNH4 are more critical than errors in SO42− to prediction of NO3−.}, number={D7}, journal={JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}, author={Yu, SC and Dennis, R and Roselle, S and Nenes, A and Walker, J and Eder, B and Schere, K and Swall, J and Robarge, W}, year={2005}, month={Feb} }
 @article{eder_leduc_sickles_1999, title={A climatology of total ozone mapping spectrometer data using rotated principal component analysis}, volume={104}, ISSN={["2169-897X"]}, DOI={10.1029/1998JD100070}, abstractNote={The spatial and temporal variability of total column ozone (Ω) obtained from the total ozone mapping spectrometer (TOMS version 7.0) during the period 1980–1992 was examined through the use of a multivariate statistical technique called rotated principal component analysis. Utilization of Kaiser's varimax orthogonal rotation led to the identification of 14, mostly contiguous subregions that together accounted for more than 70% of the total Ω variance. Each subregion displayed statistically unique Ω characteristics that were further examined through time series and spectral density analyses, revealing significant periodicities on semiannual, annual, quasi‐biennial, and longer term time frames. This analysis facilitated identification of the probable mechanisms responsible for the variability of Ω within the 14 homogeneous subregions. The mechanisms were either dynamical in nature (i.e., advection associated with baroclinic waves, the quasi‐biennial oscillation, or El Niño‐Southern Oscillation) or photochemical in nature (i.e., production of odd oxygen (O or O3) associated with the annual progression of the Sun). The analysis has also revealed that the influence of a data retrieval artifact, found in equatorial latitudes of version 6.0 of the TOMS data, has been reduced in version 7.0.}, number={D3}, journal={JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}, author={Eder, BK and LeDuc, SK and Sickles, JE}, year={1999}, month={Feb}, pages={3691–3709} }
 @inproceedings{eder_sickles_1998, title={Climatological and regional analyses of CASTNet air concentration data}, booktitle={EPA/A&WMA International Symposium on Measurement of Toxic and Related Air Pollutants (1992 May 4-9: Durham, N.C.) Measurement of toxic and related air pollutants: Proceedings of the 1992 EPA/A&WMA International Symposium}, publisher={Pittsburgh, Pa.: A&WMA}, author={Eder, B. K. and Sickles, J. E.}, year={1998}, pages={402–413} }
 @inbook{davis_eder_bloomfield_1998, title={Modeling ozone in the Chicago urban areas}, DOI={10.1007/978-1-4612-2226-2_2}, abstractNote={Ozone (O3) is a ubiquitous trace gas in the atmosphere. Its highest concentration is in the stratosphere, where it shields the earth’s surface from harmful ultraviolet radiation. At the surface, however, ozone is itself harmful, with destructive impacts on materials, crops, and health. Its levels have been high enough in certain areas to be of concern for several decades.}, booktitle={Case studies in environmental statistics}, publisher={New York: Springer}, author={Davis, J. M. and Eder, B. K. and Bloomfield, P.}, editor={D. Nychka, W. W. Piegorsch and Cox, L. H.Editors}, year={1998}, pages={5–26} }
 @article{davis_eder_nychka_yang_1998, title={Modeling the effects of meteorology on ozone in Houston using cluster analysis and generalized additive models}, volume={32}, ISSN={["1352-2310"]}, DOI={10.1016/S1352-2310(98)00008-9}, abstractNote={This paper compares the results from a single-stage clustering technique (average linkage) with those of a two-stage technique (average linkage then k-means) as part of an objective meteorological classification scheme designed to better elucidate ozone’s dependence on meteorology in the Houston, Texas, area. When applied to twelve years of meteorological data (1981–1992), each clustering technique identified seven statistically distinct meteorological regimes. The majority of these regimes exhibited significantly different daily 1 h maximum ozone (O3) concentrations, with the two-stage approach resulting in a better segregation of the mean concentrations when compared to the single-stage approach. Both approaches indicated that the largest daily 1 h maximum concentrations are associated with migrating anticyclones that occur most often during spring and summer, and not with the quasi-permanent Bermuda High that often dominates the southeastern United States during the summer. As a result, maximum ozone concentrations are just as likely during the months of April, May, September and October as they are during the summer months. Generalized additive models were then developed within each meteorological regime in order to identify those meteorological covariates most closely associated with O3 concentrations. Three surface wind covariates: speed, and the u and v components were selected nearly unanimously in those meteorological regimes dominated by anticyclones, indicating the importance of transport within these O3 conducive meteorological regimes.}, number={14-15}, journal={ATMOSPHERIC ENVIRONMENT}, author={Davis, JM and Eder, BK and Nychka, D and Yang, Q}, year={1998}, month={Aug}, pages={2505–2520} }
 @inbook{davis_eder_bloomfield_1998, title={Regional and temporal models for ozone along the Gulf Coast}, DOI={10.1007/978-1-4612-2226-2_3}, abstractNote={The studies described in the previous chapter focused on estimating trends in a daily ozone summary having adjusted for the relationship of surface ozone concentrations to meteorology. Moreover, the analysis was largely restricted to the Chicago urban area. This chapter contrasts this narrow scope by studies that:}, booktitle={Case studies in environmental statistics}, publisher={New York: Springer}, author={Davis, J. M. and Eder, B. K. and Bloomfield, P.}, editor={D. Nychka, W. W. Piegorsch and Cox, L. H.Editors}, year={1998}, pages={27–50} }
 @inproceedings{eder_1997, title={A rotated principal component analysis of total column ozone obtained from TOMS (Version 7.0) for 1980-1992.}, booktitle={Measurement of toxic and related air pollutants: Proceedings of the 1991 U.S. EPA/A&WMA International Symposium  (VIP (Series) ; 21).}, publisher={Pittsburgh, PA: Air & Waste Management Association}, author={Eder, B. K.}, year={1997}, pages={88–91} }
 @inproceedings{eder_davis_nychka_1997, title={The impact of meteorology on ozone in Huston}, booktitle={EPA/A&WMA International Symposium on Measurement of Toxic and Related Air Pollutants (1992 May 4-9: Durham, N.C.) Measurement of toxic and related air pollutants: Proceedings of the 1992 EPA/A&WMA International Symposium}, publisher={Pittsburgh, Pa.: A&WMA}, author={Eder, B. K. and Davis, J. M. and Nychka, D.}, year={1997}, pages={204–214} }