3 papers
physics.ao-ph2025
Extratropical Atmospheric Circulation Response to ENSO in Deep Learning Pacific Pacemaker Experiments
Zhanxiang Hua, Christina Karamperidou, Zilu Meng
Coupled atmosphere-ocean deep learning (DL) climate emulators are a new frontier but are known to exhibit weak ENSO variability, raising questions about their ability to simulate t…
physics.ao-ph2025
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Zhanxiang Hua, Ryan Sobash, David John Gagne +2
Improving the skill of medium-range (3-8 day) severe weather prediction is crucial for mitigating societal impacts. This study introduces a novel approach leveraging decoder-only t…
cs.AI2024
WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Chengqian Ma, Zhanxiang Hua, Alexandra Anderson-Frey +3
Severe convective weather events, such as hail, tornadoes, and thunderstorms, often occur quickly yet cause significant damage, costing billions of dollars every year. This highlig…