{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Robert Gilliam", "hasEmail": "mailto:gilliam.robert@epa.gov"}, "description": "R script: ensemble_rrf_sigma_vs_mean_play.R\r\nData: ensemble_mean_sigma_rrf_allgrids_epismax_new_13runs.csv\r\nPlot: boxplot_ensemble_rrf_sigma_vs_mean_nowater_new_13runs_epimax.pdf. \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/388/Figure11.tar", "mediaType": "application/x-tar", "title": "Figure11.tar"}], "identifier": "A-6q5f-388", "keyword": ["Ozone", "RRF", "WRF-CMAQ", "emissions reduction", "ensemble modeling", "probabilistic modeling"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2012-11-13", "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": "Figure11"}