VIIRS satellite and ground pm2.5 monitoring data
contains all satellite, pm2.5, and meteorological data used in statistical modeling effort to improve prediction of pm2.5.
This dataset is associated with the following publication:
Schliep, E., A. Gelfand, and D. Holland. Autoregressive Spatially-Varying Coefficient Models for Predicting Daily PM2:5 Using VIIRS Satellite AOT. Advances in Statistical Climatology, Meteorology and Oceanography. Copernicus Publications, Katlenburg-Lindau, GERMANY, 1(0): 59-74, (2015).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "David Holland",
"hasEmail": "mailto:holland.david@epa.gov"
}
|
| description | contains all satellite, pm2.5, and meteorological data used in statistical modeling effort to improve prediction of pm2.5. This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Autoregressive Spatially-Varying Coefficient Models for Predicting Daily PM2:5 Using VIIRS Satellite AOT. Advances in Statistical Climatology, Meteorology and Oceanography. Copernicus Publications, Katlenburg-Lindau, GERMANY, 1(0): 59-74, (2015). |
| distribution |
[
{
"title": "PA510.csv",
"mediaType": "application/vnd.ms-excel",
"downloadURL": "https://pasteur.epa.gov/uploads/259/PA510.csv"
},
{
"title": "PAgrid.csv",
"mediaType": "application/vnd.ms-excel",
"downloadURL": "https://pasteur.epa.gov/uploads/259/PAgrid.csv"
}
]
|
| identifier | A-jm6j-259 |
| keyword |
[
"pm2.5",
"prediction",
"satellite VIIRS data"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2015-01-15 |
| 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 |
null
|
| rights |
null
|
| title | VIIRS satellite and ground pm2.5 monitoring data |
