{"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\u201312,280, (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"}