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

CAMBRIDGE, MA -- 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 ...

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 ...

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

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

Hybrid climate modelling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining ...

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 ...