annual average model predicted concentrations without and with DMS chemistry
COMBINE_CONC_A0_2016_without_DMS_AVG.tar – annual average model predicted concentrations without DMS chemistry
COMBINE_CONC_A_2016_annual_AVG.tar – annual average model predicted concentrations with DMS chemistry
GRIDCRO2D.108NHEMI2.44L.20060101.tar - file containing latitude and longitude of model grid-cell
Model: The Community Multiscale Air Quality (CMAQv53) was used. It is available at https://www.epa.gov/cmaq.
This dataset is associated with the following publication:
Gantt, B., K. Foley, B. Henderson, H. Pye, K. Fahey, D. Kang, R. Mathur, J. Zhao, Y. Zhang, Q. Li, A. Saiz-Lopez, and G. Sarwar. Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244: 117961, (2020).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Golam Sarwar",
"hasEmail": "mailto:sarwar.golam@epa.gov"
}
|
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1519112/documents/SarwarGolaml_A-wwqt_Data_Dictionary.docx |
| describedByType | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| description | COMBINE_CONC_A0_2016_without_DMS_AVG.tar – annual average model predicted concentrations without DMS chemistry COMBINE_CONC_A_2016_annual_AVG.tar – annual average model predicted concentrations with DMS chemistry GRIDCRO2D.108NHEMI2.44L.20060101.tar - file containing latitude and longitude of model grid-cell Model: The Community Multiscale Air Quality (CMAQv53) was used. It is available at https://www.epa.gov/cmaq. This dataset is associated with the following publication: Gantt, B., K. Foley, B. Henderson, H. Pye, K. Fahey, D. Kang, R. Mathur, J. Zhao, Y. Zhang, Q. Li, A. Saiz-Lopez, and G. Sarwar. Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244: 117961, (2020). |
| distribution |
[
{
"title": "COMBINE_CONC_A0_2016_without_DMS_AVG.tar",
"mediaType": "application/x-tar",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519112/COMBINE_CONC_A0_2016_without_DMS_AVG.tar"
},
{
"title": "COMBINE_CONC_A_2016_with_DMS_AVG.tar",
"mediaType": "application/x-tar",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519112/COMBINE_CONC_A_2016_with_DMS_AVG.tar"
},
{
"title": "GRIDCRO2D.108NHEMI2.44L.20160101.tar",
"mediaType": "application/x-tar",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519112/GRIDCRO2D.108NHEMI2.44L.20160101.tar"
}
]
|
| identifier | https://doi.org/10.23719/1519112 |
| keyword |
[
"dimethylsulfide",
"emissions",
"seawater",
"sulfate",
"sulfur dioxide"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2020-07-22 |
| 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/10.1016/j.atmosenv.2020.117961"
]
|
| rights |
null
|
| title | annual average model predicted concentrations without and with DMS chemistry |
