6 citations · 9 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Weather Prediction with Diffusion Guided by Realistic Forecast Processes
Zhanxiang Hua, Yutong He, Chengqian Ma +1
Weather forecasting remains a crucial yet challenging domain, where recently developed models based on deep learning (DL) have approached the performance of traditional numerical w…