Thank you to H Brown, Member 7,173 who introduced us to an article in Quanta Magazine which explains how clouds are the biggest source of uncertainty in climate projections and that this makes it hard to know how much hotter the planet will get in coming decades. Supercomputers can’t directly simulate tiny cloud processes, so researchers are developing new methods — especially using artificial intelligence — to better represent cloud effects. Different teams, such as those led by Chris Bretherton and Tapio Schneider, are racing to create the next generation of climate models that combine physics and machine learning to more reliably predict future warming and weather patterns. The work is urgent because more accurate predictions are crucial for understanding and responding to climate change.

Read the full article here