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Dataset from "Regional Ozone-Temperature Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios", by Nolte et al.
This file describes the dataset used in the following article: Nolte, C. G., Spero, T. L., Bowden, J. H., Sarofim, M. C., Martinich, J., Mallard, M. S., Fann, N., "Regional Temperature-Ozone Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios," 2020. MODEL VERSION AND CONFIGURATION The Community Multiscale Air Quality (CMAQ) model was used. The model is open source and can be freely downloaded at http://github.com/USEPA/CMAQ. The specific code version used in this study was based on a pre-release version of CMAQ 5.3, with minor modifications to accommodate the USGS28 land-use scheme used in WRF. The model source code is included in the "src" directory. The meteorological input data for CMAQ were derived from outputs of the Community Earth System Model (CESM) and the Coupled Model version 3 (CM3) following Representative Concentration Pathway (RCP) 8.5, which represents a relatively high warming scenario. The CESM and CM3 fields were downscaled to 36-km grid cells over North America using the Weather Research and Forecasting model. The downscaling and air quality modeling procedure are described in the associated manuscript (Nolte et al., submitted manuscript, 2020) and references therein. CMAQ simulations were conducted using the meteorology downscaled from the two climate models and using two different sets of anthropogenic emissions: the 2011 National Emission Inventory and a 2040 projection developed for analysis of the Heavy Duty Greenhouse Gas Rule. This 2040 projection represents significant reductions relative to present-day of pollutant emissions, including nitrogen oxides (NOx), sulfur dioxide, and volatile organic compounds (VOCs). See U.S. EPA (2016) for further information on the anthropogenic emissions. Climate-sensitive VOCs emitted from vegetation, e.g., isoprene, were modeled within CMAQ using the downscaled meteorological projections from WRF. CMAQ was used to simulate air pollutant concentrations over the continental United States using grid cells with 36km x 36km horizontal spacing, with the height of the lowest model layer around 38 m. Further details on the model configuration and input data are described in the manuscript. Figures used in this paper were prepared using version 3.6.1 of the R programming language. R is open source, and can be downloaded at www.r-project.org. The R scripts are labeled according to their figure number, and reference all data needed to generate the figures, which are located in the "figs" folder. This dataset is associated with the following publication: Nolte, C., T. Spero, J. Bowden, M. Sarofim, J. Martinich, and M. Mallard. Regional Temperature-Ozone Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 71(10): 1251-1264, (2021).
데이터 정보
연관 데이터
Dataset from "Regional Ozone-Temperature Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios", by Nolte et al.
공공데이터포털
This file describes the dataset used in the following article: Nolte, C. G., Spero, T. L., Bowden, J. H., Sarofim, M. C., Martinich, J., Mallard, M. S., Fann, N., "Regional Temperature-Ozone Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios," 2020. MODEL VERSION AND CONFIGURATION The Community Multiscale Air Quality (CMAQ) model was used. The model is open source and can be freely downloaded at http://github.com/USEPA/CMAQ. The specific code version used in this study was based on a pre-release version of CMAQ 5.3, with minor modifications to accommodate the USGS28 land-use scheme used in WRF. The model source code is included in the "src" directory. The meteorological input data for CMAQ were derived from outputs of the Community Earth System Model (CESM) and the Coupled Model version 3 (CM3) following Representative Concentration Pathway (RCP) 8.5, which represents a relatively high warming scenario. The CESM and CM3 fields were downscaled to 36-km grid cells over North America using the Weather Research and Forecasting model. The downscaling and air quality modeling procedure are described in the associated manuscript (Nolte et al., submitted manuscript, 2020) and references therein. CMAQ simulations were conducted using the meteorology downscaled from the two climate models and using two different sets of anthropogenic emissions: the 2011 National Emission Inventory and a 2040 projection developed for analysis of the Heavy Duty Greenhouse Gas Rule. This 2040 projection represents significant reductions relative to present-day of pollutant emissions, including nitrogen oxides (NOx), sulfur dioxide, and volatile organic compounds (VOCs). See U.S. EPA (2016) for further information on the anthropogenic emissions. Climate-sensitive VOCs emitted from vegetation, e.g., isoprene, were modeled within CMAQ using the downscaled meteorological projections from WRF. CMAQ was used to simulate air pollutant concentrations over the continental United States using grid cells with 36km x 36km horizontal spacing, with the height of the lowest model layer around 38 m. Further details on the model configuration and input data are described in the manuscript. Figures used in this paper were prepared using version 3.6.1 of the R programming language. R is open source, and can be downloaded at www.r-project.org. The R scripts are labeled according to their figure number, and reference all data needed to generate the figures, which are located in the "figs" folder. This dataset is associated with the following publication: Nolte, C., T. Spero, J. Bowden, M. Sarofim, J. Martinich, and M. Mallard. Regional Temperature-Ozone Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 71(10): 1251-1264, (2021).
Temperature, ozone, and PM2.5 data for "Associations Between Simulated Future Changes in Climate, Air Quality, and Human Health" by Fann et al., 2021.
공공데이터포털
This dataset contains modeled temperature, ozone, and PM2.5 data for the United States over the 21st century, using two global climate model scenarios and two emissions datasets. This dataset is associated with the following publication: Fann, N., C. Nolte, M. Sarofim, J. Martinich, and N. Nassikas. Associations Between Simulated Future Changes in Climate, Air Quality, and Human Health. JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION. JAMA, Meudon, FRANCE, 4(1): e2032064, (2021).
Temperature, ozone, and PM2.5 data for "Associations Between Simulated Future Changes in Climate, Air Quality, and Human Health" by Fann et al., 2021.
공공데이터포털
This dataset contains modeled temperature, ozone, and PM2.5 data for the United States over the 21st century, using two global climate model scenarios and two emissions datasets. This dataset is associated with the following publication: Fann, N., C. Nolte, M. Sarofim, J. Martinich, and N. Nassikas. Associations Between Simulated Future Changes in Climate, Air Quality, and Human Health. JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION. JAMA, Meudon, FRANCE, 4(1): e2032064, (2021).
CMAQ v5.2 and WRF v3.8.1 model data, meta data and figures
공공데이터포털
The data are described in detail in the uploaded file "Science hub metadata.docx". This dataset is associated with the following publication: Zhang, Y., J. Bash, S. Roselle, A. Shatas, A. Repinsky, R. Mathur, C. Hogrefe, J. Piziali, T. Jacobs, and A. Gilliland. Unexpected air quality impacts from implementation of green infrastructure in urban environments: a Kansas City Case Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 744(20): 140960, (2020).
CMAQ v5.2 and WRF v3.8.1 model data, meta data and figures
공공데이터포털
The data are described in detail in the uploaded file "Science hub metadata.docx". This dataset is associated with the following publication: Zhang, Y., J. Bash, S. Roselle, A. Shatas, A. Repinsky, R. Mathur, C. Hogrefe, J. Piziali, T. Jacobs, and A. Gilliland. Unexpected air quality impacts from implementation of green infrastructure in urban environments: a Kansas City Case Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 744(20): 140960, (2020).
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"
공공데이터포털
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).
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"
공공데이터포털
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).
Data for changes in ozone chemical regime over CONUS inferred by the inversion of NOx and VOCn
공공데이터포털
The dataset was created by University of Houston. For details, please contact Jia Jung at helloiamjia@gmail.com. This dataset is associated with the following publication: Jung, J., Y. Choi, S. Mousavinezhad, D. Kang, J. Park, A. Pouyaei, M. Ghahremanloo, M. Momeni, and H. Kim. Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation. Atmospheric Research. Elsevier Science BV, Amsterdam, NETHERLANDS, 270: 106076, (2022).
Outdoor air quality impacts data for USGCRP Climate and Health Assessment
공공데이터포털
Gridded values of daily maximum temperature and ozone levels simulated over the continental U.S. using year-2000 and year-2030 climatic conditions as represented by two different global climate models and greenhouse gas forcing scenarios. This dataset is associated with the following publication: Fann , N., C. Nolte , P. Dolwick , T. Spero , A. CurryBrown , S. Phillips , and S. Anenberg. The Geographic Distribution and Economic Value of Climate Change-Related Ozone Health Impacts in the United States in 2030. JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, USA, 65(5): 570-580, (2015).
Outdoor air quality impacts data for USGCRP Climate and Health Assessment
공공데이터포털
Gridded values of daily maximum temperature and ozone levels simulated over the continental U.S. using year-2000 and year-2030 climatic conditions as represented by two different global climate models and greenhouse gas forcing scenarios. This dataset is associated with the following publication: Fann , N., C. Nolte , P. Dolwick , T. Spero , A. CurryBrown , S. Phillips , and S. Anenberg. The Geographic Distribution and Economic Value of Climate Change-Related Ozone Health Impacts in the United States in 2030. JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, USA, 65(5): 570-580, (2015).
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