Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3
These data are the results of high resolution simulations with the Community Earth System Model, version 1.3 (CESM1.3). These simulations form the basis of a publication analyzing machine learning based-detection of weather fronts and associated extreme precipitation.
206 Files, 284.7 GB Total Size
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- Temporal Range
- 2000-01-01 to 2005-12-31
2006-01-01 to 2015-12-31
2086-01-01 to 2100-12-31
- Temporal Resolution
- 3.0 hour
1.0 month
- Spatial Resolution
- 1.0 degreesLatitude
1.0 degreesLongitude
0.23 degreesLatitude
0.31 degreesLongitude
- Related Links
- N/A
- GCMD Science Keywords
- GCMD Platform Types
- File Media Types
UCAR/NCAR - Climate and Global Dynamics Laboratory
kdagon@ucar.edu
UCAR/NCAR - GDEX
gdex@ucar.edu
- Legal Constraints
- Creative Commons Attribution 4.0 International License.
- Access Constraints
- None
- Full Metadata DIF XML
ISO19139 XML
OAI DC
JSON-LD
- Version History
- 2.0
- 1.0
- Latitude Range
- 90.0° N to 90.0° S
- Longitude Range
- 180.0° W to 180.0° E
- Latitude Range
- 10.0° N to 77.0° N
- Longitude Range
- 171.0° W to 31.0° W
- Authors
- Dagon, Katie
Truesdale, John
Rosenbloom, Nan
Bates, Susan
- Suggested Citation
- Downloads
- 8713
- Download Volume
- 138.25 GB Total