B. Turan

Toward Principled Generative Data Assimilation of Turbulent Flows from Sparse Observations

Turbulent flows are highly chaotic, which makes their instantaneous states difficult to predict. Data assimilation aims to reduce this predictive uncertainty by synthesizing the predictions of a physical solver with partial observations of the system. Traditional data assimilation methods such as ensemble and variation...