{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "Robert Gilliam",
    "hasEmail": "mailto:gilliam.robert@epa.gov"
  },
  "description": "NCL script: cmaq_ensemble_isam_4panels_subdomain.ncl\r\n\r\nNetcdf input file for NCL script, containing ensemble means and standard deviation of ISAM SO4 and O3 contributions from IPM: test.nc\r\n\r\nPlot (ps): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ps\r\n\r\nPlot (pdf): maps_isam_mean_std_lasthour_ipm_so4_o3_east.pdf\r\n\r\nPlot (ncgm): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ncgm. This dataset is not publicly accessible because: This contains a dataset that is well over 1Gb, so link provided to US EPA's HPC system where all information can be retrieved. It can be accessed through the following means: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure12.tar.gz. Format: Tar file with scripts and datasets needed to reproduce Figure 12. \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": [],
  "identifier": "A-6q5f-389",
  "keyword": [
    "CMAQ ISAM",
    "O3",
    "Ozone",
    "Source Attribution",
    "WRF-CMAQ",
    "ensemble modeling",
    "probabilistic modeling"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
  "modified": "2014-11-10",
  "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": "Figure12"
}