Understanding how clouds respond to climate change will be essential for predicting how much hotter the planet could get.

A new study uses machine learning to better represent clouds in climate models, which helps to predict the climate’s response to rising levels of greenhouse gases.

Sunny California may be getting too sunny. Increasing summer temperatures brought on by a combination of intensifying urbanization and warming climate are driving off once-common morning cloud cover in southern coastal areas of the state, leading to increased risk of wildfires.

A new analysis of global satellite observations shows that vegetation can powerfully alter atmospheric patterns that influence climate and weather.

The storm tracks define the weather and climate in mid-latitudes. A recent workshop in Switzerland highlighted the important role that clouds play for the response of the storm tracks to climate change.

If you take a look at nearly any satellite image of clouds in the tropics, you’ll notice that the clouds tend to be organized into clusters. One specific type of cloud organization called “self-aggregation.” Self-aggregation is the tendency of tropical clouds to spontaneously clump together, solely due to interactions between the clouds and the surrounding environment.