Google’s AI Storm Tracker Cuts 5 Day Cyclone Error by 87 Miles, Now Live in Weather Lab

Google introduced its experimental AI cyclone forecasting tool today, unveiling the Weather Lab platform alongside a model that simulates up to 50 storm scenarios. It projects a cyclone’s path, strength, and size as far as 15 days in advance.

The model, built by Google Research and DeepMind, compares its five-day track forecasts against Europe’s ECMWF system. In tests using storm data from 2023–24, Google’s AI improved average track accuracy by 87 miles (140?km) over ECMWF predictions .

Weather?Lab gives meteorologists interactive access to model outputs. Users can compare ensemble outputs directly with ECMWF results. Google emphasizes that the site remains for research—not operational forecasting .

Google partnered with the U.S. National Hurricane Center to evaluate model performance during this Atlantic hurricane season . NHC Director Michael Brennan said the tool joins their suite of guidance this year, though it won’t yet factor into official advisory models.

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The system trains on ERA5, Europe’s comprehensive climate archive. That’s the same dataset powering Google’s earlier GenCast model, which outperformed ECMWF about 97% of the time in long-range forecasting . Google released a technical paper alongside today’s launch, which hasn’t yet passed peer review.

The AI model already showed its strength in forecasting Cyclone Alfred. It correctly captured the storm’s weakening and landfall near Queensland seven days in advance .

Google credits partners—including Colorado State University, plus research institutes in the UK and Japan—for refining its AI tools . In contrast, federal budget cuts have forced NOAA to scale back traditional weather services. That has sparked concerns over whether private tech firms may soon dominate forecasting .

Google stresses that, amid rising extreme weather tied to climate change, better forecasts matter more than ever. Its cyclone model may not replace physics-based models but could strengthen warnings and save lives.

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