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Climate News at MIT

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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 11, 2024

Study finds health risks in switching ships from diesel to ammonia fuel

A new study led by MIT scientists reveals that burning ammonia in ship engines could still contribute to ozone pollution while causing serious impacts on air quality.

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.

PostJune 11, 2024

Making climate models relevant for local decision-makers

MIT Department of Earth Atmospheric and Planetary Sciences

A new downscaling method used in climate models leverages machine learning to improve resolution at finer scales. By making these simulations more relevant to local areas, policy makers have better access to information informing climate action.

PostJune 7, 2024

Students research pathways for MIT to reach decarbonization goals

The class brought together undergraduate and graduate students from across the Institute to learn about different technologies and decide on the best path forward.

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 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 17, 2024

Q&A: Claire Walsh on how J-PAL’s King Climate Action Initiative tackles t...

MIT School of Humanities, Arts, and Social Sciences

Workers using stitching machines in Dhaka, Bangladesh, for the evaluation, "How Do Managers’ Beliefs about New Technologies Evolve? Informational Interventions and the Adoption of Energy-efficient Stitching Motors in Bangladesh"

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