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Climate News at MIT

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

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PostJuly 8, 2024

“They can see themselves shaping the world they live in”

MIT Open Learning

Langston Reid, Vishnu Bharath, and Simon Zall (left to right) discuss their project at the 2024 Day of AI global celebration at the Museum of Science. Day of AI is a free, hands-on curriculum developed by the MIT Responsible AI for Social Empowerment and Education (RAISE) initiative.

PostJuly 8, 2024

Study: Weaker ocean circulation could enhance CO2 buildup in the atmosphere...

As the ocean gets weaker, it could release more carbon from the deep ocean into the atmosphere — rather than less, as some have predicted.

PostJune 25, 2024

EU and US Approaches to Address Energy Poverty

MIT Center for Energy and Environmental Policy Research

European plug against a backdrop of US dollars

PostJune 11, 2024

Making climate models relevant for local decision-makers

MIT Department of Earth Atmospheric and Planetary Sciences

A new downscaling method used in climate models leverages machine learning to improve resolution at finer scales. By making these simulations more relevant to local areas, policy makers have better access to information informing climate action.

PodcastJune 6, 2024

E10: 2°C: the story of the global climate goal

TILclimate Podcast

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

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.

PostMarch 22, 2024

A new way to quantify climate change impacts: “Outdoor days”

A new measure of rising temperatures, called “outdoor days,” describes the number of days per year that outdoor temperatures are neither too hot nor too cold for people to go about normal outdoor activities, whether work or leisure, in reasonable comfort.

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