Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
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 ...
Simply sign up to the Climate change myFT Digest -- delivered directly to your inbox. Scientists in Europe are creating an ...
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 ...
The Gordon Bell Climate Prize-winning team reached a landmark this year by being the first team ever to develop a Full Earth Simulation at 1 km (extremely high) Resolution. St. Louis, MO, November 20, ...
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 ...
NASA’s Goddard Space Flight Center in Greenbelt, Md. recently introduced the NASA Center for Climate Simulation (NCCS), an integrated set of supercomputing, visualization, and data interaction ...