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

| DOI: 10.5065/6CJA-B154

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.

Temporal Range:
2016-05-03 00:00:00 to 2016-06-04 12:00:00
Cloud Base Height Cloud Top Height Upper Level Winds
Data Types:
Data Contributors:
Technology Development Division, Computational and Information Systems Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
42.68 GB (Entire dataset) Volume details by dataset product
Data Formats:
Metadata Record:
Data License:
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