The US is gearing up for a tough hurricane season and record heat this summer. Weather experts warn that recent budget cuts to climate and weather data programs could hurt forecast accuracy when people need it most.

The National Oceanic and Atmospheric Administration (NOAA) launched new AI-powered weather models last year. These models use centuries of weather data to predict storms and heat waves. AI helps process huge amounts of data faster and spot patterns traditional models might miss.

But AI needs plenty of quality data to work well. And here’s the problem: the Trump administration cut NOAA’s overall funding by 40% last year. At the same time, data collection efforts like satellite launches, weather balloons, and ocean buoys have been reduced. These are key tools to gather real-time information.

Without enough data, AI models struggle. They rely on past patterns, so they often miss extreme weather events that break records. As climate change pushes more unusual weather, this becomes a big issue.

AI Boosts Weather Forecasting But Needs Solid Data

AI is changing how weather forecasts are made worldwide. Agencies use machine learning to improve flood warnings and climate alerts. For example, the European Centre for Medium-Range Weather Forecasts made AI systems operational in 2025. Their models improved tracking of tropical storms and used less computing power.

NOAA’s AI models aim to run alongside traditional physics-based forecasts. AI can generate multiple scenarios to help forecasters measure uncertainty. It also speeds up the process, which is critical during fast-changing weather events.

Still, AI can’t replace basic data collection. Satellites, balloons, and buoys provide the raw information AI needs. Cutting these programs shrinks the data pool and raises risks of missed or delayed warnings.

Budget Cuts Clash With Growing Climate Risks

The US faces more extreme weather due to climate change. A “super El Niño” event is expected to spike temperatures and boost hurricane activity this year. This makes reliable forecasts more urgent.

Experts say cutting climate research hurts weather forecast skills. Climate and weather are deeply linked. Less funding means fewer scientists to analyze data or develop new tools. It also threatens ocean buoy networks that monitor sea conditions.

Some officials say there’s still plenty of weather data from satellites and sensors. But insiders reveal staffing cuts have forced NOAA to cut back on key data-gathering missions. This fuels concerns about how prepared the country is for extreme weather.

AI offers great promise in weather prediction. But the technology only works if the government supports strong data programs. Without enough information, AI models may fail to warn people in time.

As weather patterns grow more unpredictable, investing in both technology and data collection is critical. Otherwise, forecasts risk becoming less reliable just when communities need them most.