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

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

Simply sign up to the Climate change myFT Digest -- delivered directly to your inbox. Scientists in Europe are creating an ...

A new climate modeling study published in the journal Science Advances by researchers from the IBS Center for Climate Physics ...

Nvidia (NVDA) announced two new NVIDIA NIM microservices that can accelerate climate change modeling simulation results by 500x in NVIDIA Earth-2. Earth-2 is a digital twin platform for simulating and ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...

The Madden–Julian Oscillation (MJO), as a key driver of global weather and climate anomalies, is an important source of subseasonal predictability. However, most climate models still struggle to ...

So-called "100-year weather events" now seem almost commonplace as floods, storms and fires continue to set new standards for largest, strongest and most destructive. But to categorize weather as a ...

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

"Proceedings of the NATO Advanced Study Institute on Physically- Based Modelling and Simulation of Climate and Climatic Change, Erice, Italy, 11-23 May 1986"--T.p. verso.