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Southeast Atmosphere Studies: learning from model-observation syntheses
Observed and modeled data shown in figure 2b-c.
This dataset is associated with the following publication:
Mao, J., A. Carlton, R. Cohen, W. Brune, S. Brown, G. Wolfe, J. Jimenez, H. Pye, N.L. Ng, L. Xu, V.F. McNeill, K. Tsigaridis, B. McDonald, C. Warneke, A. Guenther, M. Alvarado, J. de Gouw, L. Mickley, E. Liebensperger, R. Mathur, C. Nolte, R. Portmann, N. Unger, M. Tosca, and L. Horowitz. Southeast Atmosphere Studies: learning from model-observation syntheses. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 2615-2651, (2018).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Havala Pye",
"hasEmail": "mailto:pye.havala@epa.gov"
}
|
| description | Observed and modeled data shown in figure 2b-c. This dataset is associated with the following publication: Mao, J., A. Carlton, R. Cohen, W. Brune, S. Brown, G. Wolfe, J. Jimenez, H. Pye, N.L. Ng, L. Xu, V.F. McNeill, K. Tsigaridis, B. McDonald, C. Warneke, A. Guenther, M. Alvarado, J. de Gouw, L. Mickley, E. Liebensperger, R. Mathur, C. Nolte, R. Portmann, N. Unger, M. Tosca, and L. Horowitz. Southeast Atmosphere Studies: learning from model-observation syntheses. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 2615-2651, (2018). |
| distribution |
[
{
"title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
"accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/"
},
{
"title": "maoetal.zip",
"mediaType": "application/x-zip-compressed",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407538/maoetal.zip"
}
]
|
| identifier | https://doi.org/10.23719/1407538 |
| keyword |
[
"Aerosol",
"CMAQ",
"Ozone",
"SAS",
"SOA",
"SOAS",
"Southeastern USA"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2017-02-16 |
| 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/10.5194/acp-18-2615-2018"
]
|
| rights |
null
|
| title | Southeast Atmosphere Studies: learning from model-observation syntheses |
