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Climate News at MIT

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FreightWeather & Natural DisastersClear 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.

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.

PostJune 5, 2024

Reducing carbon emissions from long-haul trucks

MIT Energy Initiative

Based on a series of analytical studies, MIT chemical engineers have come up with an idea that would enable long-haul trucks to use clean-burning hydrogen in place of diesel fuel, thereby reducing their carbon emissions. Left to right: Sayandeep Biswas, William Green, and Kariana Moreno Sader are now building an experiment to test and fine-tune equipment key to their promising approach.

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 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

PodcastApril 4, 2024

E2: Do wind turbines freeze up in the cold?

TILclimate Podcast

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