Data sets include information on emissions of air pollutants, description of 3-D meteorological state of the atmosphere, and output from the CMAQ model over the northern hemisphere and contiguous U.S. This dataset is not publicly accessible because: This research was conducted a part of the primary author's Ph.D. dissertation at the University of North Carolina at Chapel Hill. All data sets were created on the UNC computers and are housed there. Since the data sets are not directly available to the EPA investigator, they are not included in ScienceHub. It can be accessed through the following means: Data sets can be accessed by contacting Dr. Sarav Arunachalam at UNC - sarav@email.unc.edu. Format: Model input (3D meteorological fields and 3D emission files) and output are in netcdf format. Observational data sets used are publicly available and typically available as ascii files. This dataset is associated with the following publication: Vennam, L., W. Vizuete, K. Talgo, M. Omary, F. Binkowski, J. Xing, R. Mathur, and S. Arunachalam. Modeled Full-Flight Aircraft Emissions Impacts on Air Quality and Their Sensitivity to Grid Resolution. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 122(24): 13,472–13,494, (2017).

Annual CMAQ model output for 2016 for approximately six different simulations. This dataset is not publicly accessible because: Data are too large to upload to ScienceHub. It can be accessed through the following means: These data can be requested from the author. Format: Data formats include I/O API and csv. This dataset is associated with the following publication: Appel, K.W., J. Bash, K. Fahey, K. Foley, R. Gilliam, C. Hogrefe, B. Hutzell, D. Kang, R. Mathur, B. Murphy, S. Napelenok, C. Nolte, J. Pleim, G. Pouliot, H. Pye, G. Sarwar, D. Schwede, F. Sidi, T. Spero, D. Wong, L. Ran, and S. Roselle. The Community Multiscale Air Quality (CMAQ) Model Version 5.3: System Updates and Evaluation. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 14: 2867-2897, (2021).

Annual CMAQ model output for 2016 for approximately six different simulations. This dataset is not publicly accessible because: Data are too large to upload to ScienceHub. It can be accessed through the following means: These data can be requested from the author. Format: Data formats include I/O API and csv. This dataset is associated with the following publication: Appel, K.W., J. Bash, K. Fahey, K. Foley, R. Gilliam, C. Hogrefe, B. Hutzell, D. Kang, R. Mathur, B. Murphy, S. Napelenok, C. Nolte, J. Pleim, G. Pouliot, H. Pye, G. Sarwar, D. Schwede, F. Sidi, T. Spero, D. Wong, L. Ran, and S. Roselle. The Community Multiscale Air Quality (CMAQ) Model Version 5.3: System Updates and Evaluation. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 14: 2867-2897, (2021).

NA. This dataset is not publicly accessible because: No EPA generated data was used in this work. It can be accessed through the following means: NA. Format: No EPA generated data was used in this work. This dataset is associated with the following publication: Woody, M., H. Hsi-Wu Wong, J.J. West, and S. Arunachalam. Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 147: 384-394, (2016).

These data sets were created using extensive model simulation results from the WRF-CMAQ model, population distributions, and through the use of an health impact assessment model - see manuscript for details. This dataset is associated with the following publication: Xing, J., J. Wang, R. Mathur , J. Pleim , S. Wang, C. Hogrefe , C. Gan, D. Wong , and J. Hao. Unexpected Benefits of Reducing Aerosol Cooling Effects. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(14): 7527–7534, (2016).

These data sets were created using extensive model simulation results from the WRF-CMAQ model, population distributions, and through the use of an health impact assessment model - see manuscript for details. This dataset is associated with the following publication: Xing, J., J. Wang, R. Mathur , J. Pleim , S. Wang, C. Hogrefe , C. Gan, D. Wong , and J. Hao. Unexpected Benefits of Reducing Aerosol Cooling Effects. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(14): 7527–7534, (2016).

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.

Model output from the 2-way coupled WRF-CMAQ modeling system applied to China. This dataset is not publicly accessible because: EPA scientists helped with the model set-up and data analysis. The data was created by collaborators at Tsinghua University and is housed there. Since its not EPA generated data, the dataset is not included in ScienceHub. It can be accessed through the following means: The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). Format: The data analyzed in this study were created by collaborators at Tsinghua University, China. The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). This dataset is associated with the following publication: Xing, J., J. Wang, R. Mathur, S. Wang, G. Sarwar, J. Pleim, C. Hogrefe, Y. Zhang, J. Jiang, D. Wong, and J. Hao. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 9869-9883, (2017).

Model output from the 2-way coupled WRF-CMAQ modeling system applied to China. This dataset is not publicly accessible because: EPA scientists helped with the model set-up and data analysis. The data was created by collaborators at Tsinghua University and is housed there. Since its not EPA generated data, the dataset is not included in ScienceHub. It can be accessed through the following means: The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). Format: The data analyzed in this study were created by collaborators at Tsinghua University, China. The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). This dataset is associated with the following publication: Xing, J., J. Wang, R. Mathur, S. Wang, G. Sarwar, J. Pleim, C. Hogrefe, Y. Zhang, J. Jiang, D. Wong, and J. Hao. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 9869-9883, (2017).