ML4WX

Extremes & hazards

Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques

Yu‐Ju Lee, David Hall, Quan Liu, Wen-Wei Liao, Ming-Chun Huang

Engineering Applications of Artificial Intelligence · · NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)

Paper

In one sentence. Interpretable machine learning methods inspired by the Dvorak technique estimate tropical cyclone intensity from satellite imagery; the abstract is unavailable, so details are limited.

Labels

Topic
Extremes & hazards, Observations & remote sensing
Type
New model or method
Domain
Regional
Data
Satellite
Status
Research
Identifiers
DOI:10.1016/j.engappai.2021.104233 OpenAlex:W3142405176
Added
2026-10-22

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