CMAQ and CMAQ-VBS model output. This dataset is not publicly accessible because: Files too large. It can be accessed through the following means: via EPA's NCC tape archive system (ASM) or by contacting the PI. Format: netCDF CMAQ model output. This dataset is associated with the following publication: Woody , M., K. Baker , P. Hayes, J. Jimenez, B. Koo, and H. Pye. Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 16: 4081-4100, (2016).

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).

WRF and CMAQ model output for July 2011. This dataset is not publicly accessible because: The files are too large. It can be accessed through the following means: The data can be accessed through NCC's tape archival storage system (ASM). Format: WRF and CMAQ model output for July 2011. This dataset is associated with the following publication: Foroutan, H., and J. Pleim. Improving the simulation of convective dust storms in regional-to-global models. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 9(5): 2046–2060, (2017).

Dataset includes CMAQ predicted results. This dataset is not publicly accessible because: Shanghai Jiao Tong University created the dataset - EPA does not have the dataset. It can be accessed through the following means: Contact - Ping Liu, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China, email: ping_liu@sjtu.edu.cn. Format: Dataset includes CMAQ output files using netcdf format. This dataset is associated with the following publication: Chen, H., P. Liu, Q. Wang, R. Huang, and G. Sarwar. Impact and pathway of halogens on atmospheric oxidants in coastal city clusters in the Yangtze River Delta region in China. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 15(2): N/A, (2024).

CMAQ predicted results containing ozone, oxides of nitrogen and other chemical species. This dataset is not publicly accessible because: EPA does not have the dataset as it was created by the Universidad Politécnica de Madrid, Spain. It can be accessed through the following means: The Universidad Politécnica de Madrid created the dataset. Please contact Rafael Borge for the dataset. Email - rafael.borge@upm.es. Format: Dataset includes CMAQ output files in netcdf format. This dataset is associated with the following publication: Paz, D.d.l., R. Borge, J.M.d. Andrés, L. Tovar, G. Sarwar, and S. Napelenok. Summertime tropospheric ozone source apportionment study in Madrid (Spain). Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, N/A, (2023).

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).

Data was generated by the US EPA's CMAQ model and is the industry standard for the past 2 decades. Any use of CMAQ model can handle this data with ease. This dataset is not publicly accessible because: Data belongs to academia. It can be accessed through the following means: contact the first author. Format: netCDF data files using CMAQ. This dataset is associated with the following publication: Li, M., S. Yu, X. Chen, Z. Li, Y. Zhang, Z. Song, W. Liu, P. Li, X. Zhang, M. Zhang, Y. Sun, Z. Liu, C. Sun, J. Jiang, S. Wang, B. Murphy, K. Alapaty, R. Mathur, D. Rosenfeld, and J.H. Seinfeld. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 22(17): 11845–11866, (2022).

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.

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).

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).