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Climate News at MIT

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

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PostAugust 21, 2024

MIT engineers’ new theory could improve the design and operation of wind ...

MIT engineers’ new theory could improve the way turbine blades and wind farms are designed and how wind turbines are controlled.

PostAugust 19, 2024

More durable metals for fusion power reactors

MIT Energy Initiative

Based on theoretical and experimental studies, MIT engineers have shown that adding nanoparticles of certain ceramics to the metal walls of the vessel containing the reacting plasma inside a nuclear fusion reactor can protect the metal from damage, significantly extending its lifetime. Professor Ju Li (right) and postdoc So Yeon Kim (left) examine samples of the composite they have fabricated for their demonstrations.

PostAugust 7, 2024

Tracking emissions to help companies reduce their environmental footprint

“There’s an old adage: Unless you measure something, you can’t change it,” says Context Labs founder Dan Harple.

PostJuly 18, 2024

China-based emissions of three potent climate-warming greenhouse gases spik...

MIT Center for Sustainability Science and Strategy

Aluminum production in western China is a major source of PFC-14 and PFC-116 emissions, which contribute to global warming.

PostJuly 11, 2024

Study finds health risks in switching ships from diesel to ammonia fuel

A new study led by MIT scientists reveals that burning ammonia in ship engines could still contribute to ozone pollution while causing serious impacts on air quality.

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 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.

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

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