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 alternative to computationally intensive cloud-resolving simulations. However, ...

Simply sign up to the Climate change myFT Digest -- delivered directly to your inbox. Scientists in Europe are creating an unprecedented computer simulation of the planet’s atmosphere, oceans and land ...

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 ...

Developed by a team led by Daniel Klocke at the Max Planck Institute for Meteorology in Germany, the model reaches a spatial resolution of 1.25 kilometers -- a level many atmospheric scientists have ...

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 ...

Scientists have developed a powerful new way to trace the journey of water across the planet by reading tiny atomic clues hidden inside it. Slightly heavier versions of hydrogen and oxygen, called ...

ACM, the Association for Computing Machinery, today presented a 26-member team with the ACM Gordon Bell Prize for Climate Modeling in recognition of their project "Computing the Full Earth System at 1 ...

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 ...