T. Sayadi

Efficient adaptation of ROMs for unsteady flows using data assimilation

It is shown that the dominant source of error in out-of-sample forecasts stems from distortions of the latent manifold rather than changes in the latent dynamics, allowing for a lightweight, computationally efficient adaptation procedure with very sparse fine-tuning data.