3 papers
physics.flu-dyn2026
Transferable inference of turbulence models for urban flows with the Parameter-Regularised Ensemble Kalman Filter
Emanuele Bombardi, Andrea Nóvoa, Luca Magri +1
The accurate simulation of urban flow is key to designing building ventilation, understanding cities' micrometeorology, and predicting pollutant dispersion. Reynolds-Averaged Navie…
eess.SY2025
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
Defne E. Ozan, Andrea Nóvoa, Luca Magri
The goal of many applications in energy and transport sectors is to control turbulent flows. However, because of chaotic dynamics and high dimensionality, the control of turbulent…
cs.LG2025
Online model learning with data-assimilated reservoir computers
Andrea Nóvoa, Luca Magri
We propose an online learning framework for forecasting nonlinear spatio-temporal signals (fields). The method integrates (i) dimensionality reduction, here, a simple proper orthog…