Forecasting extreme winter storms has become increasingly complex due to rapid planetary changes and the lack of investment in scientific research by the US government.
These icy spells often arrive suddenly, catching forecasters off guard and leaving little time for preparation compared to slower-moving extremes like heat waves. According to Matthew Rosencrans, a meteorologist at the National Weather Service's Climate Prediction Center, short bursts of cold are more difficult to predict than longer duration signals.
Cold snaps can be particularly jarring when they're interspersed with milder weather. While the planet is heating up overall, there are still periods of intense cold, especially in certain areas and times. Research suggests that warming in the Arctic may be contributing to these cold weather spillovers.
However, the extent to which human activity is altering cold snaps isn't known, with some scientists arguing that global warming has led to fewer extremely cold temperatures. A complication on top of this is that the US is cutting back on scientific research, especially around climate change, which could leave more Americans less prepared for dangerous weather.
Despite these challenges, new forecasting methods are helping meteorologists close the gap in predicting future winter storms. The European Center for Medium-Range Weather Forecasts held a contest to see who could build the best new AI-powered model for subseasonal forecasts, and Cohen's team won for the 2025-'26 winter season. Their model trained on decades of observations across the Northern Hemisphere found far-flung variables at work, such as weather in Eurasia in October and ocean temperatures in parts of the Arctic like the Kara Sea.
These advancements hold promise for better predictions and helping communities issue alerts, shore up power, and stockpile supplies. However, the lack of investment in scientific research by the US government obscures the view when it's needed most.
These icy spells often arrive suddenly, catching forecasters off guard and leaving little time for preparation compared to slower-moving extremes like heat waves. According to Matthew Rosencrans, a meteorologist at the National Weather Service's Climate Prediction Center, short bursts of cold are more difficult to predict than longer duration signals.
Cold snaps can be particularly jarring when they're interspersed with milder weather. While the planet is heating up overall, there are still periods of intense cold, especially in certain areas and times. Research suggests that warming in the Arctic may be contributing to these cold weather spillovers.
However, the extent to which human activity is altering cold snaps isn't known, with some scientists arguing that global warming has led to fewer extremely cold temperatures. A complication on top of this is that the US is cutting back on scientific research, especially around climate change, which could leave more Americans less prepared for dangerous weather.
Despite these challenges, new forecasting methods are helping meteorologists close the gap in predicting future winter storms. The European Center for Medium-Range Weather Forecasts held a contest to see who could build the best new AI-powered model for subseasonal forecasts, and Cohen's team won for the 2025-'26 winter season. Their model trained on decades of observations across the Northern Hemisphere found far-flung variables at work, such as weather in Eurasia in October and ocean temperatures in parts of the Arctic like the Kara Sea.
These advancements hold promise for better predictions and helping communities issue alerts, shore up power, and stockpile supplies. However, the lack of investment in scientific research by the US government obscures the view when it's needed most.