Cohen Applies AI To Improve Winter Forecasts
Judah Cohen, an MIT research scientist, says his 2025–26 winter outlook uses Arctic indicators combined with AI to improve subseasonal forecasts. His team won the 2025 AI WeatherQuest subseasonal competition, with a model that matched Siberian snow, Barents–Kara warmth and QBO signals to predict multi-week temperature patterns, including a potential mid-December cold surge for the U.S. East Coast. Implications include longer lead times for utilities and public agencies.
Scoring Rationale
Competition-validated and broadly relevant advancement, but it remains limited by single-season validation and uncertain operational readiness.
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