Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Using advanced machine learning and climate models, researchers have shown that the ancestors of crops like wheat, barley, and rye probably were much less widespread in the Middle East 12,000 years ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

Forbes contributors publish independent expert analyses and insights. Heather Wishart-Smith is a board director who covers innovation. Artificial intelligence is transforming climate change prediction ...

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Climate models are complex, just like the world they ...

Fifty years into the project of modeling Earth’s future climate, we still don’t really know what’s coming. Some places are warming with more ferocity than expected. Extreme events are taking ...

Nadir Jeevanjee works for NOAA's Geophysical Fluid Dynamics Laboratory, which is discussed in this article. The views expressed herein are in no sense official positions of the Geophysical Fluid ...