Figure11
R script: ensemble_rrf_sigma_vs_mean_play.R
Data: ensemble_mean_sigma_rrf_allgrids_epismax_new_13runs.csv
Plot: boxplot_ensemble_rrf_sigma_vs_mean_nowater_new_13runs_epimax.pdf.
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).
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| 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 Data: ensemble_mean_sigma_rrf_allgrids_epismax_new_13runs.csv Plot: boxplot_ensemble_rrf_sigma_vs_mean_nowater_new_13runs_epimax.pdf. 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). |
| distribution |
[
{
"title": "Figure11.tar",
"mediaType": "application/x-tar",
"downloadURL": "https://pasteur.epa.gov/uploads/388/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 |
