Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3
To Access Resource:
Questions? Email Resource Support Contact:
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Katie Dagon
kdagon@ucar.edu
UCAR/NCAR - Climate and Global Dynamics Laboratory
Temporal Range
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Begin: 2000-01-01 End: 2005-12-31
Resource Type | dataset |
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Temporal Range Begin | 2000-01-01 |
Temporal Range End | 2005-12-31 |
Temporal Resolution | N/A |
Bounding Box North Lat | 90.0 |
Bounding Box South Lat | -90.0 |
Bounding Box West Long | -180.0 |
Bounding Box East Long | 180.0 |
Spatial Representation | N/A |
Spatial Resolution |
1.0 degreesLatitude 1.0 degreesLongitude 0.23 degreesLatitude 0.31 degreesLongitude |
Related Links | N/A |
Additional Information | N/A |
Resource Format |
Hierarchical Data Format File (application/x-hdf) application/x-netcdf |
Standardized Resource Format |
HDF NetCDF |
Asset Size | N/A |
Legal Constraints |
Creative Commons Attribution 4.0 International License. |
Access Constraints |
None
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Software Implementation Language | N/A |
Resource Support Name | Katie Dagon |
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Resource Support Email | kdagon@ucar.edu |
Resource Support Organization | UCAR/NCAR - Climate and Global Dynamics Laboratory |
Distributor | N/A |
Metadata Contact Name | GDEX Curator |
Metadata Contact Email | gdex@ucar.edu |
Metadata Contact Organization | UCAR/NCAR - GDEX |
Author |
Dagon, Katie Truesdale, John Rosenbloom, Nan Bates, Susan |
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Publisher |
UCAR/NCAR - GDEX |
Publication Date | 2022-04-06 |
Digital Object Identifier (DOI) | https://doi.org/10.5065/q6t7-ta06 |
Alternate Identifier | N/A |
Resource Version | N/A |
Topic Category | N/A |
Progress | N/A |
Metadata Date | 2022-07-21T11:46:17-06:00 |
Metadata Record Identifier | edu.ucar.gdex::fba396ee-502a-4ec5-b3e3-b4b4b7015d47 |
Metadata Language | eng; USA |
Suggested Citation | Dagon, Katie, Truesdale, John, Rosenbloom, Nan, Bates, Susan. (2022). Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3. UCAR/NCAR - GDEX. https://doi.org/10.5065/q6t7-ta06. Accessed 08 November 2024. |
Harvest Source
- ISO-19139 ISO-19139 Metadata