{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "Robert Gilliam",
    "hasEmail": "mailto:gilliam.robert@epa.gov"
  },
  "description": "Fortran/NCARgraphics program to compute and plot RRF mean and variability:map_rrf_variability_13runs_epimax.f\r\n\r\nIoapi files needed by Fortran/NCARGraphics code:\r\nCMAQ.CONC.SREF.June2011.New.13runs.o3_8hrdm\r\nCMAQ.CONC.SREF.June2011.N50V25.New.13runs.o3_8hrdm\r\nGRIDCRO2D_060607\r\n\r\nPlotting routines \r\nmap_rrf_mean_sigma_ne_13runs_epimax.ps\r\nmap_rrf_mean_sigma_ne_13runs_epimax.ncgm. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
  "distribution": [
    {
      "downloadURL": "https://pasteur.epa.gov/uploads/387/Figure10.tar",
      "mediaType": "application/x-tar",
      "title": "Figure10.tar"
    }
  ],
  "identifier": "A-6q5f-387",
  "keyword": [
    "Emissions reductions",
    "O3",
    "Ozone",
    "Relative Response Factor",
    "VOCs",
    "WRF-CMAQ",
    "ensemble modeling",
    "probabilistic modeling"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
  "modified": "2012-11-02",
  "programCode": [
    "020:094"
  ],
  "publisher": {
    "name": "U.S. EPA Office of Research and Development (ORD)",
    "subOrganizationOf": {
      "name": "U.S. Environmental Protection Agency",
      "subOrganizationOf": {
        "name": "U.S. Government"
      }
    }
  },
  "references": [
    "https://doi.org/10.1002/2015jd023674"
  ],
  "rights": null,
  "title": "Figure10"
}