From Weather to Climate: Why Tribune’s News Service AI Leap is a Logic Fail
2 hours ago Anthony Watts
The Tribune News Service article, “AI is fast-tracking climate research,” is misleading in its central premise. While AI can speed up certain weather data processing tasks, it does not magically make long-term climate forecasts more accurate. The piece blurs the line between short-term weather model gains and the far more uncertain, decades-scale climate projections — a fundamental error that misleads both policymakers and the public.
The article quotes AZTI marine biologist Ángel Borja saying, “It will allow us to process data and get results much faster, so people that make decisions can act faster, too”. This might be true for fisheries management or local ocean data sets, but when applied to climate, speed does not equal accuracy. Acting “faster” on flawed or incomplete climate projections risks enshrining bad policy based on noise or computer model errors, not signal.
Here is a breakdown of each of the claims in the article.
https://wattsupwiththat.com/2025/08/11/from-weather-to-climate-why-tribunes-news-service-ai-leap-is-a-logic-fail/
