This dataset includes a link to the CRACMM repository which contains code describing organic aerosol and ozone calculations in Martin et al. and a jupyter notebook (in html and ipynb formats) describing the calculations leading to Figures 2-4 in Martin et al. Inputs to the notebook, data appearing in Figures 2-4, and output figures are also included. See the README and notebook for more details. Manuscript this data supports: Martin, Joseph; Liu, Xiaoyu; George, Ingrid ; Seltzer, Karl; Halliday, Hannah; Hays, Michael; Pye, Havala, Implications of printing ink composition for ambient air pollutants, submitted.

Data includes links to CMAQv5.4 code and a data archive with data used in figure generation. This dataset is associated with the following publication: Seltzer, K., V. Rao, H. Pye, B. Murphy, B. Place, P. Khare, D. Gentner, C. Allen, D. Cooley, R. Mason, and M. Houyoux. Anthropogenic Secondary Organic Aerosol and Ozone Production from Asphalt-Related Emissions. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 3(8): 1221-1230, (2023).

Files contain values from Figures 1, 2, and 3 of the article by Pye et al., "Leveraging scientific community knowledge for air quality model chemistry parameterizations," scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms. This dataset is associated with the following publication: Pye, H., R. Schwantes, K. Barsanti, V.F. McNeill, and G. Wolfe. Leveraging scientific community knowledge for air quality model chemistry parameterizations. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 24-31, (2024).

Data for Figure 2. This dataset is associated with the following publication: Sarwar, G., D. Kang, K. Foley, D. Schwede, B. Gantt, and R. Mathur. Technical note: Examining ozone deposition over seawater. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 141: 255–262, (2016).

This data was used to generate the figures and perform the analysis in the aforementioned manuscript. Citation information for this dataset can be found in Data.gov's References section.

The data set consists of measurements obtained during ozone flux studies. This dataset is not publicly accessible because: The data is not publicly available and is only available to activity participants via a password protected site. It can be accessed through the following means: Some data sets are available publicly as cited in the references. Other data sets must be obtained directly from the principal investigator who conducted the experimental study. Format: The data files are in text format. This dataset is associated with the following publication: Clifton, O., D. Schwede, C. Hogrefe, J. Bash, S. Bland, P. Cheung, M. Coyle, L. Emberson, J. Fleming, E. Fredj, S. Galmarini, L. Ganzeveld, O. Gazetas, I. Goded, C. Holmes, L. Horváth, V. Huijnen, Q. Li, P. Makar, I. Mammarella, G. Manca, W. Munger, J. Pérez-Camanyo, J. Pleim, L. Limei Ran, R. San Jose, S. Silva, R. Staebler, S. Sun, A. Tai, E. Tas, T. Vesala, T. Weidinger, Z. Wu, and L. Zhang. A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4). Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 23(17): 9911–9961, (2023).

This dataset contains the data used in the Figures and Tables of the manuscript “Attributing Differences in the Fate of Lateral Boundary Ozone in AQMEII3 Models to Physical Process Representations ". This dataset is associated with the following publication: Liu, P., C. Hogrefe, U. Im, J. Christensen, J. Bieser, U. Nopmongcol, G. Yarwood, R. Mathur, S. Roselle, and T. Spero. Attributing differences in the fate of lateral boundary ozone in AQMEII3 models to physical process representations. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18(23): 17157-17175, (2018).

This dataset contains the data used in the Figures and Tables of the manuscript “Attributing Differences in the Fate of Lateral Boundary Ozone in AQMEII3 Models to Physical Process Representations ". This dataset is associated with the following publication: Liu, P., C. Hogrefe, U. Im, J. Christensen, J. Bieser, U. Nopmongcol, G. Yarwood, R. Mathur, S. Roselle, and T. Spero. Attributing differences in the fate of lateral boundary ozone in AQMEII3 models to physical process representations. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18(23): 17157-17175, (2018).

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