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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.

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 23, 2024

How light can vaporize water without the need for heat

Researchers at MIT have discovered a new phenomenon: that light can cause evaporation of water from its surface without the need for heat. Pictured is a lab device designed to measure the “photomolecular effect,” using laser beams.

PostApril 21, 2024

Featured video: Moooving the needle on methane

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

PostMarch 28, 2024

Atmospheric observations in China show rise in emissions of a potent greenh...

MIT Center for Sustainability Science and Strategy

The contribution of sulfur hexafluoride to the greenhouse effect is more than 24,000 times that of carbon dioxide; the gas is commonly used in electric power grids. A new study quantifies China’s contribution to global SF6 emissions and locates their sources.

PostMarch 26, 2024

MIT-derived algorithm helps forecast the frequency of extreme weather

A new prediction method fueled by an MIT-derived algorithm helps forecast frequency of extreme weather.

PostMarch 22, 2024

A new way to quantify climate change impacts: “Outdoor days”

A new measure of rising temperatures, called “outdoor days,” describes the number of days per year that outdoor temperatures are neither too hot nor too cold for people to go about normal outdoor activities, whether work or leisure, in reasonable comfort.

PostDecember 20, 2023

The science and art of complex systems

MIT senior and physics major Gosha Geogdzhayev works to develop “emulator” models that can learn from large-scale global climate models to answer more specialized questions about the impacts of climate change.

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