Using machine learning to improve subseasonal climate forecasting
Professor of biology Ernest Fraenkel and visiting scientist Judah Cohen win the Sub-Seasonal Climate Forecast Rodeo competition.
Professor of biology Ernest Fraenkel and visiting scientist Judah Cohen win the Sub-Seasonal Climate Forecast Rodeo competition.
Jordan Benjamin, a double major in physics and atmospheric science, studies the weather inside and out of the classroom.
Study finds rising temperatures feed more energy to thunderstorms, less to general circulation.
Machine learning could help improve the accuracy of long-term forecasts, MIT climatologist argues.
Study shows the Sahara swung between lush and desert conditions every 20,000 years, in sync with monsoon activity.
Lincoln Laboratory's lidar data, processed quickly with support from the organization MCNC, helped FEMA assess flooding and damages caused by Hurricane Florence.
ClimaCell uses wireless signals to track and forecast the weather in every 500-meter patch of the Earth’s surface.
Machine-learning model provides risk assessment for complex nonlinear systems, including boats and offshore platforms.
American Logistics Aid Network's Humanitarian Logistics Awards highlight the critical role of supply chains in saving lives during natural disasters.
Study finds shoebox-sized CubeSats gather weather data comparably to data collected by larger satellites.
Lincoln Laboratory team's lidar data will allow FEMA to track further damage if another hurricane strikes the island.
Department of Earth, Atmospheric and Planetary Sciences honors trailblazing professors Jule Charney and Edward Lorenz with a tribute to their lives and legacies.
MIT study shows electrically charging planes would reduce their risk of being struck by lightning.
An MIT study projects the potential impact of climate change on large power transformers in U.S. Northeast.
Study finds state’s annual risk of extreme rainfall will rise from 1 to 18 percent.