The data sets are outputs from the WRF-CMAQ modeling system. Typically these files contain a number of meteorological and atmospheric pollutant concentrations on a model grid which is either 2- or 3-dimensional and also in some instances vary with time. This dataset is associated with the following publication: Xing, J., R. Mathur , J. Pleim , C. Hogrefe , C. Gan, D. Wong , C. Wei, and J. Wang. Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(33): 12221-12236, (2015).

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).

all data are in netCDF format for all figures and tables. This dataset is associated with the following publication: Glotfelty, T., K. Alapaty, J. He, P. Hawbecker, X. Song, and G. Zhang. Studying Scale Dependency of Aerosol Cloud Interactions using Scale-Aware Cloud Formulations. Monthly Weather Review. American Meteorological Society, Boston, MA, USA, 1-57, (2020).

all data are in netCDF format for all figures and tables. This dataset is associated with the following publication: Glotfelty, T., K. Alapaty, J. He, P. Hawbecker, X. Song, and G. Zhang. Studying Scale Dependency of Aerosol Cloud Interactions using Scale-Aware Cloud Formulations. Monthly Weather Review. American Meteorological Society, Boston, MA, USA, 1-57, (2020).

CMAQ and WRF output files. This dataset is not publicly accessible because: Too Big. It can be accessed through the following means: The data can be accesses from the ASM data archive at the National Environmental Supercomputing Center at the USEPA. Format: WRF–CMAQ Model output data including SW radiation, PM2.5 , Sulfate aerosol, EC, and SO2 concentrations, Also aerosol optical depth (AOD). This dataset is associated with the following publication: Gan, C., J. Pleim , R. Mathur , C. Hogrefe , C.N. Long, J. Xing, D. Wong , R. Gilliam , and C. Wei. Assessment of long-term WRF–CMAQ simulations for understanding direct aerosol effects on radiation "brightening" in the United States. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 15: 12193-12209, (2015).

Data for all tables and figures are in netCDF format. This dataset is associated with the following publication: Glotfelty, T., K. Alapaty, J. He, P. Hawbecker, X. Song, and G. Zhang. The Weather Research and Forecasting Model with Aerosol–Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application. Monthly Weather Review. American Meteorological Society, Boston, MA, USA, 147(5): 1491-1511, (2019).

Data for all tables and figures are in netCDF format. This dataset is associated with the following publication: Glotfelty, T., K. Alapaty, J. He, P. Hawbecker, X. Song, and G. Zhang. The Weather Research and Forecasting Model with Aerosol–Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application. Monthly Weather Review. American Meteorological Society, Boston, MA, USA, 147(5): 1491-1511, (2019).

Data and CMAQ code associated with manuscript, "Updated in-cloud secondary aerosol production in the Northern Hemisphere predicted by the Community Multiscale Air Quality modeling system ". This dataset is associated with the following publication: Fahey, K., N. Sareen, A.M. Carlton, and B. Hutzell. Updated in-cloud secondary aerosol production in the Northern Hemisphere predicted by the Community Multiscale Air Quality modeling system. ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(5): 1043–1059, (2025).

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).