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 ...

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

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

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 ...

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

Pan's research focuses on regional climate changes, mesoscale phenomena, land surface processes, and ecosystem modeling. Specifically, he is interested in: Mesoscale weather and regional climate ...

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 ...

Few scientific ideas have leapt from philosophy seminars to dinner-table debates as quickly as the claim that our universe ...