This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript "Seasonal ozone vertical profiles over North America using the AQMEII group of air quality models: model inter-comparison and stratospheric intrusions" led by Dr. Marina Astitha of the University of Connecticut. This dataset is associated with the following publication: Astitha, M., I. Kioutskioukis, G.A. Fisseha, R. Bianconi, J. Bieser, J. Christensen, O. Cooper, S. Galmarini, C. Hogrefe, U. Im, B. Johnson, P. Liu, U. Nopmongcol, I. Petropavlovskikh, E. Solazzo, D. Tarasick, and G. Yarwood. Seasonal ozone vertical profiles over North America using the AQMEII3 group of air quality models: model inter-comparison and stratospheric intrusions. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18(19): 13925-13945, (2018).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. This dataset is associated with the following publication: Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. This dataset is associated with the following publication: Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).

This dataset contains the data used in the Figures and Tables of the manuscript "Impacts of Different Characterizations of Large-Scale Background on Simulated Regional-Scale Ozone Over the Continental U.S.". This dataset is associated with the following publication: Hogrefe, C., P. Liu, G. Pouliot, R. Mathur, S. Roselle, J. Flemming, M. Lin, and R. Park. Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 3839-3864, (2018).

This dataset contains the data used in the Figures and Tables of the manuscript "Impacts of Different Characterizations of Large-Scale Background on Simulated Regional-Scale Ozone Over the Continental U.S.". This dataset is associated with the following publication: Hogrefe, C., P. Liu, G. Pouliot, R. Mathur, S. Roselle, J. Flemming, M. Lin, and R. Park. Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 3839-3864, (2018).

The EPA/ORD/CEMM-contributed dataset consisted of hourly CMAQ output for all model species from a 2017 simulation over the northern hemisphere along a boundary curtain of a 36 km modeling domain specified over the CONUS. The horizontal and vertical extent of the 36 km modeling domain was specified by the external collaborator and was defined by 524 boundary grid cells and 34 vertical layers. The number of output species from the 2017 hemispheric CMAQ simulation was 191 through to September 23, 2017 and 213 starting September 24, 2017. The EPA/OAR/OAQPS-contributed dataset consistent of hourly gridded CMAQ output for surface ozone concentrations from four model simulations for the year 2016. Two of these simulations were performed over the northern hemisphere at a horizontal resolution of 108 km and the other two simulations were performed over the CONUS at a horizontal resolution of 12 km. This dataset is not publicly accessible because: The size of the data provided to the external researchers (>1TB) exceeds ScienceHub limits. It can be accessed through the following means: Data can be requested by contacting hogrefe.christian@epa.gov (EPA/ORD/CEMM-contributed dataset) and henderson.barron@epa.gov (EPA/OAR/OAQPS-contributed dataset) and providing an external hard to which the data can then be copied by staff at the National Computing Center. The model simulations are stored on the /asm archival system accessible through the atmos high-performance computing (HPC) system. Due to data management policies, files on /asm are subject to expiry depending on the template of the project. Files not requested for extension after the expiry date are deleted permanently from the system. Location of EPA/ORD/CEMM-provided CMAQ model output data on asm: • /asm/grc/NRT_WRF_CMAQ/model_outputs/nhemi108/cctm.conc • /asm/MOD3EVAL/css/NRT/data/gatech/bc • /asm/MOD3EVAL/css/NRT/data/gatech/scripts • /asm/MOD3EVAL/css/NRT/data/gatech/metbdy3d Location of EPA/OAR/OAQPS-provided CMAQ model output data on asm: • /asm/ROMO/global/CMAQv5.2/2016fe_hemi_cb6_16jh/108km/output • /asm/ROMO/global/CMAQv5.2.1/2016fe_hemi_cb6_16jh/108km/ZUSA/output • /asm/ROMO/2016platform/CMAQv521/2016fe_cb6r3_ae6nvpoa_16j/12US2/output • /asm/ROMO/2016platform/CMAQv521/2016fe_zusa_cb6r3_ae6nvpoa_16j/12US2/output. Format: The CMAQ model output datasets used for the analysis presented in this manuscript and documented here were provided by scientists in EPA/ORD/CEMM and EPA/OAR/OAQPS. The EPA/ORD/CEMM-contributed dataset consisted of hourly CMAQ output for all model species from a 2017 simulation over the northern hemisphere along a boundary curtain of a 36 km modeling domain specified over the CONUS. The horizontal and vertical extent of the 36 km modeling domain was specified by the external collaborator and was defined by 524 boundary grid cells and 34 vertical layers. The number of output species from the 2017 hemispheric CMAQ simulation was 191 through to September 23, 2017 and 213 starting September 24, 2017. The EPA/OAR/OAQPS-contributed dataset consistent of hourly gridded CMAQ output for surface ozone concentrations from four model simulations for the year 2016. Two of these simulations were performed over the northern hemisphere at a horizontal resolution of 108 km and the other two simulations were performed over the CONUS at a horizontal resolution of 12 km. The data files with the CMAQ model output provided to the external researchers use the ioapi/netcdf format. Documentation of this format, including definitions of the geographical projection attributes contained in the file headers, are available at https://www.cmascenter.org/ioapi/documentation/all_versions/html. This dataset is associated with the following publication: Skipper, T.N., Y. Hu, M.T. Odman, B. Henderson, C. Hogrefe, R. Mathur, and A. Russell. EST Publication: Estimating US background ozone levels using data fusion. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,

The EPA/ORD/CEMM-contributed dataset consisted of hourly CMAQ output for all model species from a 2017 simulation over the northern hemisphere along a boundary curtain of a 36 km modeling domain specified over the CONUS. The horizontal and vertical extent of the 36 km modeling domain was specified by the external collaborator and was defined by 524 boundary grid cells and 34 vertical layers. The number of output species from the 2017 hemispheric CMAQ simulation was 191 through to September 23, 2017 and 213 starting September 24, 2017. The EPA/OAR/OAQPS-contributed dataset consistent of hourly gridded CMAQ output for surface ozone concentrations from four model simulations for the year 2016. Two of these simulations were performed over the northern hemisphere at a horizontal resolution of 108 km and the other two simulations were performed over the CONUS at a horizontal resolution of 12 km. This dataset is not publicly accessible because: The size of the data provided to the external researchers (>1TB) exceeds ScienceHub limits. It can be accessed through the following means: Data can be requested by contacting hogrefe.christian@epa.gov (EPA/ORD/CEMM-contributed dataset) and henderson.barron@epa.gov (EPA/OAR/OAQPS-contributed dataset) and providing an external hard to which the data can then be copied by staff at the National Computing Center. The model simulations are stored on the /asm archival system accessible through the atmos high-performance computing (HPC) system. Due to data management policies, files on /asm are subject to expiry depending on the template of the project. Files not requested for extension after the expiry date are deleted permanently from the system. Location of EPA/ORD/CEMM-provided CMAQ model output data on asm: • /asm/grc/NRT_WRF_CMAQ/model_outputs/nhemi108/cctm.conc • /asm/MOD3EVAL/css/NRT/data/gatech/bc • /asm/MOD3EVAL/css/NRT/data/gatech/scripts • /asm/MOD3EVAL/css/NRT/data/gatech/metbdy3d Location of EPA/OAR/OAQPS-provided CMAQ model output data on asm: • /asm/ROMO/global/CMAQv5.2/2016fe_hemi_cb6_16jh/108km/output • /asm/ROMO/global/CMAQv5.2.1/2016fe_hemi_cb6_16jh/108km/ZUSA/output • /asm/ROMO/2016platform/CMAQv521/2016fe_cb6r3_ae6nvpoa_16j/12US2/output • /asm/ROMO/2016platform/CMAQv521/2016fe_zusa_cb6r3_ae6nvpoa_16j/12US2/output. Format: The CMAQ model output datasets used for the analysis presented in this manuscript and documented here were provided by scientists in EPA/ORD/CEMM and EPA/OAR/OAQPS. The EPA/ORD/CEMM-contributed dataset consisted of hourly CMAQ output for all model species from a 2017 simulation over the northern hemisphere along a boundary curtain of a 36 km modeling domain specified over the CONUS. The horizontal and vertical extent of the 36 km modeling domain was specified by the external collaborator and was defined by 524 boundary grid cells and 34 vertical layers. The number of output species from the 2017 hemispheric CMAQ simulation was 191 through to September 23, 2017 and 213 starting September 24, 2017. The EPA/OAR/OAQPS-contributed dataset consistent of hourly gridded CMAQ output for surface ozone concentrations from four model simulations for the year 2016. Two of these simulations were performed over the northern hemisphere at a horizontal resolution of 108 km and the other two simulations were performed over the CONUS at a horizontal resolution of 12 km. The data files with the CMAQ model output provided to the external researchers use the ioapi/netcdf format. Documentation of this format, including definitions of the geographical projection attributes contained in the file headers, are available at https://www.cmascenter.org/ioapi/documentation/all_versions/html. This dataset is associated with the following publication: Skipper, T.N., Y. Hu, M.T. Odman, B. Henderson, C. Hogrefe, R. Mathur, and A. Russell. EST Publication: Estimating US background ozone levels using data fusion. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,

This dataset contains data used to create the Figures in the manuscript "How are Divergent Global Emission Trends Influencing Long-range Transported Ozone to North America"

This dataset contains near-surface ozone concentrations simulated using the Community Multiscale Air Quality (CMAQ) model for the period 2036-2045 under two future climate scenarios and using a 2040 projection for air pollutant emissions. The data were used in a manuscript by Nassikas et al., published in Environmental Research in 2020. This dataset is associated with the following publication: Nassikas, N., K. Spangler, N. Fann, C. Nolte, P. Dolwick, T. Spero, P. Sheffield, and G. Willenius. Ozone-related asthma emergency department visits in the US in a warming climate. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 183: 109206, (2020).

This dataset contains near-surface ozone concentrations simulated using the Community Multiscale Air Quality (CMAQ) model for the period 2036-2045 under two future climate scenarios and using a 2040 projection for air pollutant emissions. The data were used in a manuscript by Nassikas et al., published in Environmental Research in 2020. This dataset is associated with the following publication: Nassikas, N., K. Spangler, N. Fann, C. Nolte, P. Dolwick, T. Spero, P. Sheffield, and G. Willenius. Ozone-related asthma emergency department visits in the US in a warming climate. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 183: 109206, (2020).