Assimilation of nearly turbulent Rayleigh-Bénard flow through vorticity or local circulation measurements: a computational study
Provides a practical data assimilation method for fluid dynamics problems where only vorticity measurements are available, demonstrating convergence beyond theoretical guarantees.
Introduced a continuous data assimilation algorithm for 2D Bénard convection using only vorticity or local circulation measurements, achieving convergence to the reference solution with coarser data than required by theory.
We introduce a continuous (downscaling) data assimilation algorithm for the 2D Bénard convection problem using vorticity or local circulation measurements only. In this algorithm, a nudging term is added to the vorticity equation to constrain the model. Our numerical results indicate that the approximate solution of the algorithm is converging to the unknown reference solution (vorticity and temperature) corresponding to the measurements of the 2D Bénard convection problem when only spatial coarse-grain measurements of vorticity are assimilated. Moreover, this convergence is realized using data which is much more coarse than the resolution needed to satisfy rigorous analytical estimates.