Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms: Storm and Analysis Data
To Access Resource:
Questions? Email Resource Support Contact:
-
Chi-Fan Shih
chifan@ucar.edu
UCAR/NCAR - Research Data Archive
Temporal Range
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Begin: 2016-05-03T00:00:00Z End: 2016-06-04T12:00:00Z
Resource Type | dataset |
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Temporal Range Begin | 2016-05-03T00:00:00Z |
Temporal Range End | 2016-06-04T12:00:00Z |
Temporal Resolution | N/A |
Bounding Box North Lat | N/A |
Bounding Box South Lat | N/A |
Bounding Box West Long | N/A |
Bounding Box East Long | N/A |
Spatial Representation | N/A |
Spatial Resolution | N/A |
Related Links | N/A |
Additional Information | N/A |
Resource Format |
HDF5 (Binary) |
Standardized Resource Format |
HDF |
Asset Size |
42680 MB |
Legal Constraints |
Creative Commons Attribution 4.0 International License |
Access Constraints |
None |
Software Implementation Language | N/A |
Resource Support Name | Chi-Fan Shih |
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Resource Support Email | chifan@ucar.edu |
Resource Support Organization | UCAR/NCAR - Research Data Archive |
Distributor |
NCAR Research Data Archive |
Metadata Contact Name | N/A |
Metadata Contact Email | rdahelp@ucar.edu |
Metadata Contact Organization | NCAR Research Data Archive |
Author |
Gagne, David John |
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Publisher |
Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory |
Publication Date | 2019-05-10 |
Digital Object Identifier (DOI) | https://doi.org/10.5065/6CJA-B154 |
Alternate Identifier |
d898000 |
Resource Version | N/A |
Topic Category |
climatologyMeteorologyAtmosphere |
Progress | completed |
Metadata Date | 2024-08-04T02:09:58Z |
Metadata Record Identifier | edu.ucar.rda::d898000 |
Metadata Language | eng; USA |
Suggested Citation | Gagne, David John. (2019). Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms: Storm and Analysis Data. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/6CJA-B154. Accessed 04 October 2024. |
Harvest Source
- ISO-19139 ISO-19139 Metadata