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).

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).

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).

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).

Software Model simulations were conducted using WRF version 3.8.1 (available at https://github.com/NCAR/WRFV3) and CMAQ version 5.2.1 (available at https://github.com/USEPA/CMAQ). The meteorological and concentration fields created using these models are too large to archive on ScienceHub, approximately 1 TB, and are archived on EPA’s high performance computing archival system (ASM) at /asm/MOD3APP/pcc/02.NOAH.v.CLM.v.PX/. Figures Figures 1 – 6 and Figure 8: Created using the NCAR Command Language (NCL) scripts (https://www.ncl.ucar.edu/get_started.shtml). NCLD code can be downloaded from the NCAR website (https://www.ncl.ucar.edu/Download/) at no cost. The data used for these figures are archived on EPA’s ASM system and are available upon request. Figures 7, 8b-c, 8e-f, 8h-i, and 9 were created using the AMET utility developed by U.S. EPA/ORD. AMET can be freely downloaded and used at https://github.com/USEPA/AMET. The modeled data paired in space and time provided in this archive can be used to recreate these figures. The data contained in the compressed zip files are organized in comma delimited files with descriptive headers or space delimited files that match tabular data in the manuscript. The data dictionary provides additional information about the files and their contents. This dataset is associated with the following publication: Campbell, P., J. Bash, and T. Spero. Updates to the Noah Land Surface Model in WRF‐CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(1): 231-256, (2019).

The data includes the input for the WRF-CMAQ coupled model and the model output. This dataset is not publicly accessible because: This study was conduct at the University of Houston. It can be accessed through the following means: Please contact Prof. Yunsoo Choi (ychoi23@central.uh.edu) at the Department of Earth and Atmospheric Sciences, University of Houston to obtain the data. Format: input and output data are in netCDF format. This dataset is associated with the following publication: Jung, J., Y. Choi, D. Wong, D. Nelson, and S. Lee. Journal Of Geophysical Research -Atmospheres, Role of sea fog over the Yellow Sea on air quality with the direct effect of aerosols. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 126(5): e2020JD033498, (2021).

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).

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).