Zipped NetCDF data for Precipitation partitioning in Multi-Scale Atmospheric Simulations: Impacts of Stability Restoration Methods
Data for all figures in NetCDF format zipped files.
This dataset is associated with the following publication:
He, J., and K. Alapaty. Precipitation Partitioning in Multiscale Atmospheric Simulations: Impacts of Stability Restoration Methods. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(18): 10,185-10,201, (2018).
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Kirankumar Alapaty", "hasEmail": "mailto:alapaty.kiran@epa.gov" } |
| description | Data for all figures in NetCDF format zipped files. This dataset is associated with the following publication: He, J., and K. Alapaty. Precipitation Partitioning in Multiscale Atmospheric Simulations: Impacts of Stability Restoration Methods. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(18): 10,185-10,201, (2018). |
| distribution |
[ { "title": "https://gaftp.epa.gov/EPADataCommons/ORD/dynTauData/", "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/dynTauData/" } ] |
| identifier | https://doi.org/10.23719/1407606 |
| keyword |
[ "convective parameterization", "convective timescale", "deep convection", "measurements", "precipitation" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2017-08-17 |
| 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/10.1029/2018jd028710" ] |
| rights |
null
|
| title | Zipped NetCDF data for Precipitation partitioning in Multi-Scale Atmospheric Simulations: Impacts of Stability Restoration Methods |
