Pages that link to "Item:Q683401"
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The following pages link to A reduced order model based on Kalman filtering for sequential data assimilation of turbulent flows (Q683401):
Displaying 21 items.
- 4D large scale variational data assimilation of a turbulent flow with a dynamics error model (Q776712) (← links)
- Regularized ensemble Kalman methods for inverse problems (Q781982) (← links)
- A Kalman filter adapted to the estimation of mean gradients in the large-eddy simulation of unsteady turbulent flows (Q1646809) (← links)
- Optimized parametric inference for the inner loop of the multigrid ensemble Kalman filter (Q2088341) (← links)
- A multigrid/ensemble Kalman filter strategy for assimilation of unsteady flows (Q2132567) (← links)
- A multi-fidelity ensemble Kalman filter with hyperreduced reduced-order models (Q2160470) (← links)
- Enforcing boundary conditions on physical fields in Bayesian inversion (Q2186856) (← links)
- Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments (Q2222548) (← links)
- State observer data assimilation for RANS with time-averaged 3D-PIV data (Q2245224) (← links)
- Assimilation of disparate data for enhanced reconstruction of turbulent mean flows (Q2245373) (← links)
- A pressure-corrected immersed boundary method for the numerical simulation of compressible flows (Q2312118) (← links)
- Estimating model parameters for an impact-produced shock-wave simulation: Optimal use of partial data with the extended Kalman filter (Q2489687) (← links)
- Reduced-order Kalman-filtered hybrid simulation combining particle tracking velocimetry and direct numerical simulation (Q2863359) (← links)
- Numerical investigation of skewed spatially evolving mixing layers (Q3303687) (← links)
- Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation (Q4957372) (← links)
- Ensemble Kalman method for learning turbulence models from indirect observation data (Q5038553) (← links)
- Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation (Q5207673) (← links)
- Tuning of parameters in a two-phase flow model using an ensemble Kalman filter (Q5450240) (← links)
- Variational data assimilation and its decoupled iterative numerical algorithms for Stokes-Darcy model (Q6491441) (← links)
- Bayesian interface technique-based inverse estimation of closure coefficients of standard \(k-\epsilon\) turbulence model by limiting the number of DNS data points for flow over a periodic hill (Q6569724) (← links)
- Operator inference driven data assimilation for high fidelity neutron transport (Q6595882) (← links)
