U.S. Weather Forecast Reliability Concerns

U.S. Weather Forecast Reliability Concerns

U.S. federal weather forecasts face potential reliability challenges due to proposed budget cuts and reduced data collection, according to experts. These concerns emerge as Oceanic and Atmospheric Administration (NOAA) increasingly relies on artificial intelligence (AI) models for predictions, particularly ahead of the 2026 Atlantic hurricane season and anticipated record heat.

The Trump administration proposed a 40% budget cut for NOAA overall, despite a modest increase for Weather Service. This reduction impacts data collection, with reports indicating scaled-back satellite and weather balloon launches, and threats to ocean buoy networks and other observation systems. While NOAA launched AI-powered global weather forecast models in late 2025, their effectiveness is contingent on ample and continuous data input, which experts warn is diminishing.

AI models, trained on historical data, may struggle with unprecedented extreme weather events, as highlighted by a March 2026 study in Science Advances . This contrasts with traditional physics-based models that assess physical conditions directly. Reduced climate research funding further compounds the issue, as climate data is integral to accurate long-term weather forecasting, potentially impacting the skill of future predictions.