Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms: Storm and Analysis Data

This repository contains the simulation and analysis data for the paper "Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms." This dataset contains simulated storms extracted from the NCAR Convection-Allowing Ensemble, saved as 96 km by 96 km storm patches containing extensive information about each storm. The dataset also contains saved machine learning and deep learning models used to analyze the storm data along with diagnostic files containing verification and variable importance scores.

To Access Resource:

Questions? Email Resource Support Contact:

  • Chi-Fan Shih
    chifan@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  2016-05-03T00:00:00Z
    End:  2016-06-04T12:00:00Z

Keywords

Resource Type dataset
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

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.
Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Chi-Fan Shih
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
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 ds898.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-01-03T15:12:09-07:00
Metadata Record Identifier edu.ucar.rda::ds898.0
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 23 April 2024.

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