3 citations · 4 across the 9 of their papers we have counts for
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cs.CV2024
Deep Generative Data Assimilation in Multimodal Setting
Yongquan Qu, Juan Nathaniel, Shuolin Li +1
Robust integration of physical knowledge and data is key to improve computational simulations, such as Earth system models. Data assimilation is crucial for achieving this goal bec…
cs.CV2024★ 3 cited
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Juan Nathaniel, Yongquan Qu, Tung Nguyen +4
Accurate prediction of climate in the subseasonal-to-seasonal scale is crucial for disaster preparedness and robust decision making amidst climate change. Yet, forecasting beyond t…