Figure12

NCL script: cmaq_ensemble_isam_4panels_subdomain.ncl Netcdf input file for NCL script, containing ensemble means and standard deviation of ISAM SO4 and O3 contributions from IPM: test.nc Plot (ps): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ps Plot (pdf): maps_isam_mean_std_lasthour_ipm_so4_o3_east.pdf Plot (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. This dataset is associated with the following publication: Gilliam , 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).

[
  "020:00"
]

{
  "fn": "Robert Gilliam",
  "hasEmail": "mailto:gilliam.robert@epa.gov"
}

[]

[
  "CMAQ ISAM",
  "O3",
  "Ozone",
  "Source Attribution",
  "WRF-CMAQ",
  "ensemble modeling",
  "probabilistic modeling"
]

[
  "020:094"
]

{
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}

[
  "https://doi.org/10.1002/2015jd023674"
]

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