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).
Resources
2 resources available
-
https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/
FILE -
maoetal.zip
APPLICATION/X-ZIP-COMPRESSED
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| 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 |
