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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.

Aeronautical and astronautical engineering Artificial Intelligence Climate change computer-vision Disaster response EAPS Earth and atmospheric sciences Environment Hurricanes Imaging machine learning Media Lab NASA Research Satellites School of Engineering School of Science Science communications Weather

New AI tool generates realistic satellite images of future flooding

The method could help communities visualize and prepare for approaching storms.

Algorithms Artificial Intelligence Climate change Data Disaster response Lincoln Laboratory machine learning Natural disasters Radar Research Technology and society Weather Weather modeling

An AI dataset carves new paths to tornado detection

TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters’ ability to issue warnings.

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Using deep learning to image the Earth’s planetary boundary layer

Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth’s surface. Their techniques could improve weather and drought prediction.

Algorithms Artificial Intelligence Climate Climate change Computer modeling Defense Advanced Research Projects Agency (DARPA) Disaster response Earth and atmospheric sciences Environment Fluid dynamics Hurricanes machine learning Mechanical engineering Natural disasters Planetary science Research School of Engineering Weather

MIT-derived algorithm helps forecast the frequency of extreme weather

The new approach “nudges” existing climate simulations closer to future reality.