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Ensemble standar deviation of wind speed and direction of the FDDA input to WRF
NetCDF file of the SREF standard deviation of wind speed and direction that was used to inject variability in the FDDA input.
variable U_NDG_OLD contains standard deviation of wind speed (m/s)
variable V_NDG_OLD contains the standard deviation of wind direction (deg). This dataset is not publicly accessible because: This is a netcdf file that is 3.9Gb. It can be accessed through the following means: On the HPC system sol (2016). In the asm archive here: /asm/grc/JGR_ENSEMBLE_ScienceHub/figure1.nc. Format: Figure 1 data. This is the variability of wind speed and direction of the four dimensional data assimilation inputs. The variability includes the 14 members of the ensemble.
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).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Robert Gilliam",
"hasEmail": "mailto:gilliam.robert@epa.gov"
}
|
| describedBy | https://pasteur.epa.gov/uploads/374/documents/figure1.data.dictionary.txt |
| describedByType | text/plain |
| description | NetCDF file of the SREF standard deviation of wind speed and direction that was used to inject variability in the FDDA input. variable U_NDG_OLD contains standard deviation of wind speed (m/s) variable V_NDG_OLD contains the standard deviation of wind direction (deg). This dataset is not publicly accessible because: This is a netcdf file that is 3.9Gb. It can be accessed through the following means: On the HPC system sol (2016). In the asm archive here: /asm/grc/JGR_ENSEMBLE_ScienceHub/figure1.nc. Format: Figure 1 data. This is the variability of wind speed and direction of the four dimensional data assimilation inputs. The variability includes the 14 members of the ensemble. 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 |
[]
|
| identifier | A-6q5f-374 |
| keyword |
[
"FDDA",
"Ozone",
"WRF",
"WRF-CMAQ",
"Wind Speed and direction variability",
"ensemble modeling",
"probabilistic modeling"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2015-07-21 |
| 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 | Ensemble standar deviation of wind speed and direction of the FDDA input to WRF |
