Lagrangian Reconstruction of Snow Evolution on Antarctic Sea Ice
Kavli Institute for Theoretical Physics via YouTube
Lead AI-Native Products with Microsoft's Agentic AI Program
Finance Certifications Goldman Sachs & Amazon Teams Trust
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore a conference talk examining the Lagrangian reconstruction method for tracking snow evolution on Antarctic sea ice. Learn about advanced techniques for understanding how snow accumulates, transforms, and affects sea ice dynamics in the Antarctic region through a physics-based approach that follows individual snow parcels over time. Discover the implications of snow evolution patterns for polar climate research and how these processes contribute to our understanding of the Antarctic climate system. Gain insights into the methodological approaches used to reconstruct snow history and evolution patterns, and understand how this research contributes to broader discussions about polar climate change and sea ice dynamics. The presentation addresses key physical processes affecting snow-ice interactions in Antarctica and their representation in climate models, providing valuable perspectives on how these processes may change in a warming world.
Syllabus
Lagrangian reconstruction of snow evolution on Antarctic sea ice | Ethan Campbell (Washington)
Taught by
Kavli Institute for Theoretical Physics