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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 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 26, 2024

Startup aims to transform the power grid with superconducting transmission ...

“We can deploy much higher power levels at much lower voltage,” Tim Heidel says.

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 25, 2024

Two MIT teams selected for NSF sustainable materials grants

Two MIT-led teams received funding from the National Science Foundation to investigate quantum topological materials and sustainable microchip production.

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

PostApril 4, 2024

Propelling atomically layered magnets toward green computers

The flow of electrical current in the bottom crystalline slab (representing WTe2) breaks a mirror symmetry (shattered glass), while the material itself breaks the other mirror symmetry (cracked glass). The resulting spin current has vertical polarization that switches the magnetic state of the top 2D ferromagnet.

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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