Cracking the case of Arctic sea ice breakup
A distributed sensor network may help researchers identify the physical processes contributing to diminishing sea ice in the planet’s fastest-warming region.
A distributed sensor network may help researchers identify the physical processes contributing to diminishing sea ice in the planet’s fastest-warming region.
A new platform will unite climate models, impact predictions, random control trial evaluations, and humanitarian services to bring cutting-edge tools to Bangladeshi communities.
To better inform local policy in the face of changing weather extremes, MIT researchers seek to advance the modeling of long-term weather risks.
To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.
Brent Minchew leads two proposals to better understand glacial physics and predict sea-level rise as part of MIT's Climate Grand Challenges competition.
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
New climate resiliency dashboard helps reduce uncertainty of current and future flood risks in Cambridge.
SDSCon 2017 gathers community and showcases research projects that apply data science to major systems and issues.
Associate Professor Paul O'Gorman describes three questions climate scientists recently suggested should frame the future of climate research.
New research may explain why sea temperatures around Antarctica haven’t risen as much as surface temperatures around the globe.
A witness to “a montage of environmental changes” in her native China, grad student Ruby Fu now studies the fate of methane bubbles in the ocean.
Climate expert Jochem Marotzke tackles the discrepancy between climate models and real-world observations in the 15th annual Henry W. Kendall Memorial Lecture.
New analysis of cyclones shows migration away from tropics and toward the poles in recent decades.