Mimicking atmospheric photochemical modeling with a deep neural network
Air quality modeling for China. This dataset is not publicly accessible because: Data was generated and owned by Tsinghua University. It can be accessed through the following means: Data can be accessed from lead author at Tsinghua University: xingjia@tsinghua.edu.cn. Format: Air quality modeling data for China. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "James Kelly", "hasEmail": "mailto:kelly.james@epa.gov" } |
| description | Air quality modeling for China. This dataset is not publicly accessible because: Data was generated and owned by Tsinghua University. It can be accessed through the following means: Data can be accessed from lead author at Tsinghua University: xingjia@tsinghua.edu.cn. Format: Air quality modeling data for China. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section. |
| distribution |
[]
|
| identifier | https://doi.org/10.23719/1524265 |
| keyword |
[ "Atmospheric photochemistry", "Chemical transport model", "Deep learning", "Meteorology", "Ozone", "emissions" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2021-11-13 |
| programCode |
[ "020:000" ] |
| publisher |
{ "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } |
| references |
[ "https://dx.doi.org/10.1016/j.atmosres.2021.105919" ] |
| rights |
null
|
| title | Mimicking atmospheric photochemical modeling with a deep neural network |
