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).

The CMAQ Model Outputs data asset includes current and projected future levels of ambient concentrations and deposition to support regulatory impact analyses.

The CMAQ Model Outputs data asset includes current and projected future levels of ambient concentrations and deposition to support regulatory impact analyses.

These data include three-dimensional meteorological (WRF) and air quality (CMAQ) model output for a 2-km domain covering the San Joaquin Valley (SJV) of California for January and February of 2013. The WRF and CMAQ parameters used in the analysis presented in the research effort are listed in the attached spreadsheet. The WRF/CMAQ data themselves are located on EPA's asm tape archive in the directories below. These data are available upon request from the authors, specifically K. Wyat Appel (appel.wyat@epa.gov). /asm/MOD3EVAL/DISCOVERAQ/SJV/2km_Meso/WRF /asm/MOD3EVAL/DISCOVERAQ/SJV/2km_Meso/CMAQ. This dataset is associated with the following publication: Friberg, M., R. Kahn, J. Limbacher, W. Appel, and J. Mulholland. Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 12891-12913, (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.

Input files for running the Community Multiscale Air Quality (CMAQ) modeling system. Input files include emissions, meteorology, boundary and initial conditions, and other ancillary data needed for running a simulation over the contiguous United States (12US2 domain) for December 22, 2015 - January 31, 2016. These input data can be used with two online tutorials described in Efstathiou et al. to set up and run a CMAQ simulation on Amazon Web Services and Microsoft Azure cloud computing resources. Data are netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on variables within the files (variable names and units) and the model projection and grid structure is contained in the header information of each netcdf file.

Input files for running the Community Multiscale Air Quality (CMAQ) modeling system. Input files include emissions, meteorology, boundary and initial conditions, and other ancillary data needed for running a simulation over the contiguous United States (12US2 domain) for December 22, 2015 - January 31, 2016. These input data can be used with two online tutorials described in Efstathiou et al. to set up and run a CMAQ simulation on Amazon Web Services and Microsoft Azure cloud computing resources. Data are netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on variables within the files (variable names and units) and the model projection and grid structure is contained in the header information of each netcdf file.

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).