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Data · dataset · 2026

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

Listed in National Center for Atmospheric Research

Description

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.

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Inferred from text
Atmospheric sciences 73% · Simulation 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research9baedfdc-a095-4be3-a7e6-f982f3cd398c13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3701enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (73%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[method].local:method:simulationenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0