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Climate News at MIT

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Weather & Natural DisastersClear All
PostJune 13, 2025

A journey of resilience, fueled by learning

MIT Open Learning
Hilal Mohammadzai graduated from the MIT Emerging Talent Certificate in Computer and Data Science as part of his path to pursue a career in data science.
PostMay 14, 2025

Drug injection device wins MIT $100K Competition

MIT News
In addition to the $100,000 grand prize awarded to CoFlo, a $50,000 second-place prize was awarded to Haven, a $5,000 third-place prize to Aorta Scope, and a $5,000 audience choice award to Flood Dynamics.
PostApril 11, 2025

Hundred-year storm tides will occur every few decades in Bangladesh, scient...

MIT News
For the coastal country of Bangladesh, once-in-a-century storm tides could strike every 10 years — or more often — by the end of the century, scientists report. In this photo, a Bangladeshi woman and child walk over the top of a sandbag embankment in Khulna on May 4, 2019.
PodcastMarch 20, 2025

E3: Did climate change do that?

TILclimate Podcast
TILclimate logo
PostFebruary 19, 2025

Projecting and reducing the global economic impacts of climate change

MIT Center for Sustainability Science and Strategy
Photo: Los Angeles wildfires, January 2025 (Source: City of Irvine, California)
PostDecember 6, 2024

So you want to build a solar or wind farm? Here’s how to decide where.

MIT News
PostNovember 25, 2024

New AI tool generates realistic satellite images of future flooding

MIT News
A generative AI model visualizes how floods in Texas would look like in satellite imagery. The original photo is on the left, and the AI generated image is in on the right.
PostSeptember 24, 2024

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

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

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