-
- GC43F-0865: LUCIE-3D: A three-dimensional atmosphere climate emulator under forced responses
-
Board 0865‚ Hall EFG (Poster Hall)NOLA CC
Author(s):Generic 'disconnected' Message
Ashesh Chattopadhyay, University of California Santa Cruz (First Author, Presenting Author)
Haiwen Guan, Pennsylvania State University Main Campus
Romit Maulik, Argonne National Laboratory
Troy Arcomano, Texas A&M University
Climate models help scientists understand and predict future weather and climate changes. LUCIE-3D is a new type of climate model that uses artificial intelligence (AI) to efficiently and accurately simulate the atmosphere in three dimensions. Traditional climate models are complex and resource-intensive, but LUCIE-3D is designed to be lightweight, stable, and quick to train. It accurately reproduces important weather patterns like tropical storms and waves, and effectively shows how the climate responds to changes in greenhouse gases like CO₂. Because it is efficient and easy to use, LUCIE-3D can help scientists rapidly test new ideas and improve predictions of long-term climate changes, paving the way for more accessible and effective climate research.
Scientific DisciplineSuggested ItinerariesNeighborhoodType
Enter Note
Go to previous page in this tab
Session
