Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...

Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

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 ...

From emissions tracking to flood forecasting, AI is already tackling climate change. These five organizations show what works ...

Methodology of the CondensNet model. CondensNet is a physically constrained DL parametrisation coupled with a climate dynamics engine to support hybrid modelling. The network architecture mainly has ...

The terrestrial water cycle is a fundamental component of Earth's climate system, governing the exchange of water between land surfaces and the atmosphere.

The very tool being counted on to decarbonise our civilisation is fast becoming one of the most power-hungry infrastructure networks on Earth. Yet dismissing AI as a climate villain is to miss one of ...

Researchers link climate events to regional economic outputExtreme heat waves and droughts are increasingly threatening economic growth across the European Union, with the agricultural sector in ...