Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3
d583105
| DOI: 10.5065/Q6T7-TA06
Abstract:
The data files of this dataset are the results of high resolution simulations using the Community Earth System Model, version 1.3 (CESM1.3). These simulations of various temporal and spatial resolutions at different time periods form the basis of a publication analyzing machine learning based-detection of weather fronts and associated extreme precipitation.
Temporal Range:
2000-01-01 to 2100-12-31
Variables:
| Extreme Precipitation | Precipitation Amount |
Data Types:
Grid
Data Contributors:
UCAR/NCAR/CGD
Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
305.69 GB
Data Formats:
HDF5/NetCDF4
Metadata Record:
Data License:
This work is licensed under a Creative Commons Attribution 4.0 International License.
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