Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...
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 ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting models she subscribes to and interprets what she sees. “What’s the likelihood of rain in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results