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Climate News at MIT

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

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Cities & PlanningClimate ModelingClear All

PostJuly 25, 2024

Sustainable Real Estate

The exterior of a modern, glass-clad parking garage, lit up at night with different colors shining out.

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 17, 2024

Collaborative effort supports an MIT resilient to the impacts of extreme he...

MIT Office of Sustainability

A heat sensor captures data in the Kendall/MIT Open Space.

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 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.

PodcastMay 2, 2024

Reimagining Cities with Prof. David Hsu

Photo of David Hsu on card with text Chalk Radio and MIT OpenCourseWare.

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.

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