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Climate News at MIT

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Weather & Natural DisastersPublic TransportationClear All

PostOctober 23, 2024

Study: Marshes provide cost-effective coastal protection

Graduate student Ernie I. H. Lee uses drone imaging and machine learning to help map salt marsh species, plant height, and shoots per bed area.

PostOctober 3, 2024

Celebrating the people behind Kendall Square’s innovation ecosystem

Two Founder Awards were given to MIT Professor Sangeeta Bhatia, left, and Johnson & Johnson Innovation Head Michal Preminger for their work bringing people together to achieve hard things that benefit humanity.

PostSeptember 30, 2024

Where flood policy helps most — and where it could do more

Hurricane Debby flooded homes and cars in Sarasota, Florida in August 2024.

PostSeptember 24, 2024

Study evaluates impacts of summer heat in U.S. prison environments

“In terms of environmental hazards, extreme heat causes some of the most acute impacts for incarcerated people,” says Ufuoma Ovienmhada.

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.

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.

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.

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 9, 2024

Has remote work changed how people travel in the U.S?

The prevalence of remote work since the start of the Covid-19 pandemic has significantly changed urban transportation patterns in the U.S., according to new study led by MIT researchers.

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