Click Here AI and the weather forecast
Dec 30, 2025
Join veteran meteorologist John Morales, known for his insights on weather forecasting, and Jeff Masters, co-founder of Weather Underground with a passion for climate science. They dive into how AI is revolutionizing weather forecasts, allowing for faster storm warnings. However, looming budget cuts threaten NOAA's vital data, impacting everything from agriculture to aviation. John shares alarming tales of data gaps in Florida, while Jeff discusses the dire need for funding to safeguard our forecasting future.
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AI Speeds Forecasting But Depends On History
- AI can spot patterns and turn massive datasets into forecasts in seconds, improving short-term accuracy.
- But AI learns from the past, and changing climate makes past patterns less predictive of new extremes.
NOAA Is The Backbone Of Forecasts
- NOAA provides the core observations—satellites, radars, balloons—that all models and private firms rely on.
- Private companies cannot replace that observation infrastructure or its global cooperative data sharing.
Speed Versus Physical Understanding
- AI models run forecasts far faster and can predict storm tracks days earlier than older models.
- However, AI lacks embedded physics and struggles with hyperlocal or novel climate-driven extremes.