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

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 ...

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 ...

An agreement on the third implementation phase of Destination Earth (DestinE), the European Commission's initiative to ...

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, ...

Our project is designed to unravel the complexities of climate change impacts within the Neponset River Watershed, employing sophisticated methods tailored specifically to this study domain. Through ...

Description of the method that learns a map between the attractor of the coarsely-resolved equations and the attractor of the reference trajectory. Left: the red dashed curve represents the reference ...