The data for this project include fields that are output from the numerous CMAQ simulations used to build the RSM. This dataset is not publicly accessible because: The data is too large to be included on ScienceHub. It can be accessed through the following means: This data can be accessed by contacting the corresponding authors as will be noted by the peer-reviewed journal. Format: This data is generated by OAQPS and colleagues at Tsinghua university in China. The output data are stored and, if requested, provided in the format of NetCDF. It is stored and preserved on the Atmos high performance computing (HPC) system located at the National Computing Center (NCC). The folder location for raw model data and post-processed data is: /asm1/ROMO. The input data is located in the folder titled: /work/ROMO Data will be copied to the backup automatic storage management (ASM) system after completion of the project to make room for working space on Atmos. This backup system is also located at the National Computing Center, fully accessible form EPA computers at all times and backed up daily or more frequently. In order to facilitate transparency, reproducibility, and credibility throughout the project, the model code will be appropriately commented to indicate the algorithmic functioning in a manner suitable for the general computer programmer. CMAQ source code will be stored on Github at www.github.com/USEPA/CMAQ on the branch labeled ‘5.3.2’. All substantive evolution of the model code will be documented by comments within the code, and the date of the change will be recorded in the standard logs created by Git version control. Project documentation is available via https://www.epa.gov/scram

Population exposures to ozone from APEX modeling for combinations of potential future air quality and demographic change scenarios. This dataset is not publicly accessible because: Total file size is too large (73 GB) to be included in ScienceHub. It can be accessed through the following means: data files are stored at L:\PRIV\DIONISIO\ACE118\APEXFiles\RCode\Rfiles. Format: 73 GB, 2,300 files (saved as .rsav R data files). This dataset is associated with the following publication: Dionisio, K., C. Nolte, T. Spero, S. Graham, N. Caraway, K. Foley, and K. Isaacs. Characterizing the impact of projected changes in climate and air quality on human exposures to ozone. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27(3): 260-270, (2017).

Population exposures to ozone from APEX modeling for combinations of potential future air quality and demographic change scenarios. This dataset is not publicly accessible because: Total file size is too large (73 GB) to be included in ScienceHub. It can be accessed through the following means: data files are stored at L:\PRIV\DIONISIO\ACE118\APEXFiles\RCode\Rfiles. Format: 73 GB, 2,300 files (saved as .rsav R data files). This dataset is associated with the following publication: Dionisio, K., C. Nolte, T. Spero, S. Graham, N. Caraway, K. Foley, and K. Isaacs. Characterizing the impact of projected changes in climate and air quality on human exposures to ozone. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27(3): 260-270, (2017).

A regular adjoint model simulation result. This dataset is not publicly accessible because: The data is owned by the first author Ms. Wang. It can be accessed through the following means: Please contact the first author Ms. Wang. Format: netCDF format

A regular adjoint model simulation result. This dataset is not publicly accessible because: The data is owned by the first author Ms. Wang. It can be accessed through the following means: Please contact the first author Ms. Wang. Format: netCDF format

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).

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).

File containing the locations where the gridded datasets used in the analysis presented in this manuscript are archived. The actual gridded datasets are too large to upload to sciencehub (several terabytes). This dataset is associated with the following publication: Porter, P.S., S.T. Rao, C. Hogrefe, and R. Mathur. A Reduced Form Model for Ozone Based on Two Decades of CMAQ Simulations for the Continental United States. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 8(2): 275-284, (2017).

File containing the locations where the gridded datasets used in the analysis presented in this manuscript are archived. The actual gridded datasets are too large to upload to sciencehub (several terabytes). This dataset is associated with the following publication: Porter, P.S., S.T. Rao, C. Hogrefe, and R. Mathur. A Reduced Form Model for Ozone Based on Two Decades of CMAQ Simulations for the Continental United States. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 8(2): 275-284, (2017).

Near Real Time CMAQ Simulations compared to AQS Observations. This dataset is associated with the following publication: Eder, B., R. Gilliam, G. Pouliot, R. Mathur, and J. Pleim. Continuous, Near Real-Time Evaluation of Air Quality Models: An Approach for the Rapid Scientific Evolution of Modeling Systems. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 1-6, (2017).