{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Christopher Nolte", "hasEmail": "mailto:nolte.chris@epa.gov"}, "description": "This file describes the dataset used in the following article:\nNgo, S., B.N. Murphy, C.G. Nolte, K.E. Brown (2024), Bridging existing energy and chemical transport models to enhance air quality policy\nassessment. Environmental Modelling and Software, in press, available at https://doi.org/10.1016/j.envsoft.2024.106218.\nThe Community Multiscale Air Quality (CMAQ) model version 5.3.1 was used to simulate air pollutant concentrations over the continental United States using grid cells with 12km x 12km horizontal spacing, with the height of the lowest model layer around 38 m. \nThe model is open source and freely available on GitHub at https://github.com/USEPA/CMAQ.\n\nFiles included in this dataset:\nOutputs from The Integrated MARKAL-EFOM System (TIMES) model for each scenario. \nScenario-specific Emission Control files for the Community Multiscale Air Quality (CMAQ) model, as well as the R script used to create the Emission Control files from the TIMES outputs. \nAnnual mean concentrations of particulate matter smaller than 2.5 microns in diameter (PM2.5) and summer means of the daily 8-h average ozone level for each modeled scenario. ", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531756/Ngo_etal.zip", "mediaType": "application/zip", "title": "Ngo_etal.zip"}], "identifier": "https://doi.org/10.23719/1531756", "keyword": ["air quality", "grow-in-place", "model integration", "scenario planning"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2024-09-27", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": null, "rights": null, "title": "Dataset for Ngo et al. (2024), \"Bridging Existing Energy and Chemical Transport Models to Enhance Air Quality Policy Assessment\""}