Return to search results
Condensable PM on Atmospheric organic aerosols and PM2.5 in China data
Data was generated by the US EPA's CMAQ model and is the industry standard for the past 2 decades. Any use of CMAQ model can handle this data with ease. This dataset is not publicly accessible because: Data belongs to academia. It can be accessed through the following means: contact the first author. Format: netCDF data files using CMAQ.
This dataset is associated with the following publication:
Li, M., S. Yu, X. Chen, Z. Li, Y. Zhang, Z. Song, W. Liu, P. Li, X. Zhang, M. Zhang, Y. Sun, Z. Liu, C. Sun, J. Jiang, S. Wang, B. Murphy, K. Alapaty, R. Mathur, D. Rosenfeld, and J.H. Seinfeld. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 22(17): 11845–11866, (2022).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Kirankumar Alapaty",
"hasEmail": "mailto:alapaty.kiran@epa.gov"
}
|
| description | Data was generated by the US EPA's CMAQ model and is the industry standard for the past 2 decades. Any use of CMAQ model can handle this data with ease. This dataset is not publicly accessible because: Data belongs to academia. It can be accessed through the following means: contact the first author. Format: netCDF data files using CMAQ. This dataset is associated with the following publication: Li, M., S. Yu, X. Chen, Z. Li, Y. Zhang, Z. Song, W. Liu, P. Li, X. Zhang, M. Zhang, Y. Sun, Z. Liu, C. Sun, J. Jiang, S. Wang, B. Murphy, K. Alapaty, R. Mathur, D. Rosenfeld, and J.H. Seinfeld. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 22(17): 11845–11866, (2022). |
| distribution |
[]
|
| identifier | https://doi.org/10.23719/1526316 |
| keyword |
[
"air pollution",
"emissions",
"modeling",
"pm2.5"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2022-01-31 |
| programCode |
[
"020:000"
]
|
| 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-22-11845-2022"
]
|
| rights |
null
|
| title | Condensable PM on Atmospheric organic aerosols and PM2.5 in China data |
