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Climate News at MIT

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

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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 21, 2024

H2 underground

MIT Energy Initiative

During MITEI’s Spring Symposium, MIT Assistant Professor Iwnetim Abate (right) said that geologic hydrogen opens up the idea of earth as a “factory to produce clean fuels,” utilizing the subsurface heat and pressure instead of relying on burning fossil fuels or natural gas for the same purpose.

PodcastMay 9, 2024

E6: How clean is green hydrogen?

TILclimate Podcast

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

E5: Why are EVs more popular than hydrogen cars?

TILclimate Podcast

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.

PodcastApril 25, 2024

E4: An introduction to hydrogen energy (re-air)

TILclimate Podcast

PostApril 24, 2024

MIT announces 2024 Bose Grants

Left to right: Iwnetim Abate, Yoel Fink, Andrew Babbin, Skylar Tibbits

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 8, 2024

Extracting hydrogen from rocks

Assistant Professor Iwnetim Abate is leading an effort to determine the ideal conditions for producing hydrogen underground.

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