Decoding the Arctic to predict winter weather
With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.
With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
The method could help communities visualize and prepare for approaching storms.
The new approach “nudges” existing climate simulations closer to future reality.
The MIT seniors will pursue graduate studies at Cambridge University.