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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.
Complete Metadata
| 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 |
