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Climate News at MIT

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PostJuly 29, 2024

Study tracks exposure to air pollution through the day

Researchers found people’s exposure to particulate matter 2.5 microns or bigger rises by about 2.4 percent when daily travel patterns are taken into account.

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 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.

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.

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 23, 2024

How light can vaporize water without the need for heat

Researchers at MIT have discovered a new phenomenon: that light can cause evaporation of water from its surface without the need for heat. Pictured is a lab device designed to measure the “photomolecular effect,” using laser beams.

PostApril 21, 2024

Featured video: Moooving the needle on methane

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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