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Revisiting a Legacy Theory of How Clouds ‘Breathe’ Using Machine Learning - Cansu Duzgun

Florida State University
2026
atmospheric science
machine learning
artificial intelligence
climate modeling
Weather Models
hurricanes
Severe Weather
radar data
Satellite Observations
Climate Prediction
Atmospheric Dynamics
environmental science
data science
interpretable AI
Extreme Weather
Forecast Uncertainty
climate resilience
Earth Systems
Nonlinear Systems
computational modeling
Atmospheric Processes
AI for Climate
Storm Dynamics
fluid dynamics
Environmental Modeling
Weather Simulation
Global Climate Models
Hurricane Forecasting
Cloud Dynamics
physics
Earth observation
remote sensing
Climate Risk
Disaster Preparedness

This research improves weather and climate forecasting by studying how dry air mixes into thunderstorm clouds, a process called entrainment. Using satellite observations, radar data, and interpretable machine learning, the work refines outdated cloud physics models, helping scientists better predict severe weather, hurricanes, and long-term climate behavior.

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