Despite severe budget cuts to real-world data gathering, the agency assured coastal residents that its new artificial intelligence tools are fully capable of making up the weather on their own.
The National Oceanic and Atmospheric Administration assured the public on Tuesday that despite severe cuts to its data gathering budget by the Trump administration, its newly launched artificial intelligence models are fully capable of generating the weather on their own.
The agency introduced a suite of AI-powered global weather forecast models late last year, initially trained on centuries of historical climate data. However, following targeted budget reductions to real-time weather data programming ahead of a predicted record-breaking summer, officials confirmed the AI will now transition to a purely generative forecasting approach.
While we will no longer be ingesting expensive satellite telemetry or empirical oceanic temperature readings, our large language models can output incredibly vivid descriptions of what a landfalling storm might look like.
Climate experts at the World Meteorological Organization and researchers compiling the IPCC AR6 have warned that AI models cannot reliably predict extreme heat or storm tracks without ample incoming data. In response, administration officials noted that unmooring the AI from empirical reality actually fulfills the agency's mandate to improve speed and efficiency, allowing the model to instantly publish a sunny, 72-degree forecast for coastal Florida regardless of the actual barometric pressure in the Gulf of Mexico.
The federal government is expected to formally sunset its remaining network of Atlantic weather buoys by the end of Q3, just as the peak of the hurricane season begins, when the agency will publish its first entirely fictionalized national climate assessment.