A new algorithm quickly sifts through hours of field recordings to learn how climate change influences bird migration. The A.I. could help track other wildlife as well.

Researchers led by Columbia's Pierre Gentine demonstrate that machine learning techniques can be used to better represent clouds in coarse resolution climate models, with the potential to narrowing the range of prediction

Yutian Wu, an atmospheric scientist at Lamont-Doherty Earth Observatory seeking to understand how the rapid decline of Arctic sea ice will impact North American weather extremes, is the Center’s newest Fellow.

Thousands of years ago, the West Antarctic ice sheet shrank dramatically—then grew back in an unexpected way. The new findings could help to refine predictions about how today’s warming climate will impact polar ice and sea level rise.

A new model developed by Kyle Davis, a Columbia postdoctoral researcher, estimates how many climate migrants there will be, where they are likely to go, and what effects they might have on the places to which they move.