This dataset is the underlying data described in Nolte et al., "The potential effects of climate change on air quality across the conterminous U.S. at 2030 under three Representative Concentration Pathways", Atmos. Chem. Phys., in press, 2018. The paper describes simulated changes in U.S. air quality (ozone and particulate matter) between 2000 and 2030 under three scenarios of climate change. Ozone data are in parts per billion by volume, particulate matter are in micrograms per cubic meter, temperature changes are in degrees Celsius, and precipitation has units of millimeters of accumulated precipitation per month. This dataset is associated with the following publication: Nolte, C., T. Spero, J. Bowden, M. Mallard, and P. Dolwick. The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18(20): 15471-15489, (2018).

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 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.

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).

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).

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).

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).

This file describes the dataset used in the following manuscript: Shankar, U., B. N. Murphy, M. A. Weber, Y. Ou, S. J. Smith, D. H. Loughlin, C. G. Nolte, "Modeling the Air Quality Impacts of Future Energy Scenarios". This manuscript describes the linkage between a human-Earth system model and a chemical transport model to simulate the air quality impacts of potential large-scale changes in the U.S. energy system. This dataset includes emissions outputs from simulations conducted using the Global Change Analysis Model (GCAM) with state-level representation of the U.S. energy system (GCAM-USA). It also includes a script that is used to generate an emissions control file for the Community Multiscale Air Quality (CMAQ) model, along with the CMAQ source code used in this study. Finally, the dataset includes Excel workbooks that contain data for some of the figures used in the manuscript, as well as postprocessed CMAQ outputs and scripts used to create other figures that appear in the manuscript.

Hemispheric scale simulations with CMAQ and the Weather Research and Forecasting model are performed for multiple years. Model capabilities for a range of applications including episodic long-range pollutant transport, long-term trends in air pollution across the Northern Hemisphere, and air pollution-climate interactions are evaluated through detailed comparison with available surface, aloft, and remotely sensed observations. This dataset is associated with the following publication: Mathur, R., J. Xing, R. Gilliam, G. Sarwar, C. Hogrefe, J. Pleim, G. Pouliot, S. Roselle, T. Spero, D. Wong, and J. Young. Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales: Overview of Process Considerations and Initial Applications. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 12449-12474, (2017).