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Climate News at MIT

The latest climate change research and action happening in and around MIT.

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Fossil FuelsWeather & Natural DisastersClear All

PodcastMay 16, 2024

E7: An introduction to carbon capture (re-air)

TILclimate Podcast

PodcastMay 9, 2024

E6: How clean is green hydrogen?

TILclimate Podcast

PostMay 8, 2024

Study: Heavy snowfall and rain may contribute to some earthquakes

Episodes of heavy snowfall and rain likely contributed to a swarm of earthquakes over the past several years in northern Japan, MIT researchers find. Their study is the first to show climate conditions could initiate some quakes. Pictured is a scene from Japan’s Noto Peninsula.

PostMay 3, 2024

Bridging the Divide: Assessing the Viability of International Cooperation o...

MIT Center for Energy and Environmental Policy Research

G7 nation flags interlocked as puzzle pieces

PostApril 29, 2024

An AI dataset carves new paths to tornado detection

MIT Lincoln Laboratory

Mark Veillette (left) and James Kurdzo compiled TorNet, an open-source dataset containing thousands of radar images depicting tornadoes and other severe storms. The dataset can serve as a benchmark for researchers to develop tornado-detecting AI algorithms.

PostApril 18, 2024

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

MIT Lincoln Laboratory

This schematic of the planetary boundary layer (red line) shows exchanges of moisture and movement of aerosols that occur between the Earth's surface and this lowest level of the atmosphere. Lincoln Laboratory researchers are using deep learning techniques to learn more about PBL features, important for weather and climate studies.

PostApril 4, 2024

The heat is on: Accelerating climate action at a time of record-breaking te...

MIT Center for Sustainability Science and Strategy

MIT Global Change Forum panel on climate communications

PodcastApril 4, 2024

E2: Do wind turbines freeze up in the cold?

TILclimate Podcast

PostMarch 29, 2024

Shining a light on oil fields to make them more sustainable

Amplified Industries’ sensors and analytics give oil well operators real-time alerts when things go wrong, allowing them to respond to issues before they become disasters.

PostMarch 26, 2024

MIT-derived algorithm helps forecast the frequency of extreme weather

A new prediction method fueled by an MIT-derived algorithm helps forecast frequency of extreme weather.

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