Mini microwave sounders developed at Lincoln Laboratory, demonstrated on a NASA mission, and now transferred to industry, are expanding storm-forecasting capabilities.
With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.
As these events become more common at midlatitudes, a phenomenon called an atmospheric inversion will determine how long they last.
Global Change Outlook report for 2025 shows how accelerated action can reduce climate risks and improve sustainability outcomes, while highlighting potential geopolitical hurdles.
While the Earth’s upper crust recovers quickly from seismic activity, new research finds the mid-crust recovers much more slowly, if at all.
Based on mini “lab-quakes” in a controlled setting, the findings could help researchers assess the vulnerability of quake-prone regions.
Ongoing research by three architecture faculty aims to yield structures that protect communities from the devastation of volcanic eruptions.
With projected global warming, the frequency of extreme storms will ramp up by the end of the century, according to a new study.
MIT engineers propose a new “local electricity market” to tap into the power potential of homeowners’ grid-edge devices.
Director of the MIT Humanitarian Supply Chain Lab, within the Center for Transportation and Logistics, honored for “leading the way ... to help disaster survivors in their own backyards and around the world.”
As climate change accelerates sea-level rise and intensifies storms, marsh-fronted seawalls can provide an economical coastal defense, MIT engineers report.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.
The results suggest that climate may influence seismic activity.
TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters' ability to issue warnings.