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April 8, 2026Environmental Data ScienceOpen Access

Detecting unique wind field features in hurricane Sandy from topological data maps

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Authors

JHJustin Hoffmeier

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Overview

This analysis identifies wind field features in tropical cyclones, suggesting new insights in atmospheric science.

Key Points

  • The aim is to explore how topological data maps can identify unique wind field features in hurricanes, particularly Sandy.
  • Developed graphs from topological data maps by filtering and clustering wind field data.
  • Applied the methodology to the HURDAT2 data set focusing on Hurricane Sandy.
  • Identified wind field connectivity signatures and mapped high wind speed radii.
  • Successfully detected a 360-degree rotation of high wind speed radii in Hurricane Sandy.
  • Uncovered distinct structures in wind speed asymmetries using the connectivity map, showing unique cyclone behavior.

Cite This Study

Justin Hoffmeier (2026) studied this question.

synapsesocial.com/papers/69d5f07d74eaea4b11a79e2dhttps://doi.org/10.1017/eds.2026.10035
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