1 citations · 1 across the 5 of their papers we have counts for
5 papers
Recovering the Parameter in the Simplified Bardina Model through Continuous Data Assimilation
Débora A. F. Albanez, Maicon José Benvenutti, Jing Tian
In this study, we develop a continuous data assimilation algorithm to recover the parameter in the simplified Bardina model. Our method utilizes the observations of finitely ma…
Parameter Error Analysis for the 3D Modified Leray-alpha Model: Analytical and Numerical Approaches
Débora A. F. Albanez, Maicon J. Benvenutti, Samuel Little +1
In this study, we conduct a parameter error analysis for the 3D modified Leray- model using both analytical and numerical approaches. We first prove the global well-posedness an…
Parameter Analysis in Continuous Data Assimilation for Various Turbulence Models
Debora A. F. Albanez, Maicon Jose Benvenutti, Samuel Little +1
In this study, we conduct parameter estimation analysis on a data assimilation algorithm for two turbulence models: the simplified Bardina model and the Navier-Stokes-α model. Our…
Parameter analysis in continuous data assimilation for three-dimensional Brinkman-Forchheimer-extended Darcy
Débora A. F. Albanez, Maicon J. Benvenutti
In this paper, we study analytically the long-time behavior of three-dimensional Brinkman-Forchheimer-extended Darcy model, in the context that the parameters related to the dampin…
Continuous data assimilation for the three-dimensional Navier-Stokes-
Débora A. F. Albanez, Helena J. Nussenzveig Lopes, Edriss S. Titi
Motivated by the presence of a finite number of determining parameters (degrees of freedom) such as modes, nodes and local spatial averages for dissipative dynamical systems, we pr…