Pages that link to "Item:Q2924840"
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The following pages link to Information barriers for noisy Lagrangian tracers in filtering random incompressible flows (Q2924840):
Displaying 30 items.
- Efficient nonlinear optimal smoothing and sampling algorithms for complex turbulent nonlinear dynamical systems with partial observations (Q777550) (← links)
- Improving the prediction of complex nonlinear turbulent dynamical systems using nonlinear filter, smoother and backward sampling techniques (Q783088) (← links)
- Optimal estimation of Eulerian velocity field given Lagrangian observations (Q949995) (← links)
- Scalable information inequalities for uncertainty quantification (Q1685620) (← links)
- Optimal strategies for the control of autonomous vehicles in data assimilation (Q1691207) (← links)
- Efficient statistically accurate algorithms for the Fokker-Planck equation in large dimensions (Q1700731) (← links)
- Recovering the Eulerian energy spectrum from noisy Lagrangian tracers (Q2115381) (← links)
- Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics (Q2124589) (← links)
- An efficient and statistically accurate Lagrangian data assimilation algorithm with applications to discrete element sea ice models (Q2133757) (← links)
- A new efficient parameter estimation algorithm for high-dimensional complex nonlinear turbulent dynamical systems with partial observations (Q2222505) (← links)
- Spatial localization for nonlinear dynamical stochastic models for excitable media (Q2286234) (← links)
- Noisy Lagrangian tracers for filtering random rotating compressible flows (Q2348237) (← links)
- An information-theoretic framework for improving imperfect dynamical predictions via multi-model ensemble forecasts (Q2348238) (← links)
- Estimating eddy diffusivities from noisy Lagrangian observations (Q2379844) (← links)
- Predicting the cloud patterns for the boreal summer intraseasonal oscillation through a low-order stochastic model (Q2396271) (← links)
- Intermittency in turbulent diffusion models with a mean gradient (Q3458806) (← links)
- Reconstruction d'écoulements incompressibles à partir de données lagrangiennes (Q4221712) (← links)
- Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker--Planck Equations in Large Dimensions (Q4611515) (← links)
- Simple nonlinear models with rigorous extreme events and heavy tails (Q4632031) (← links)
- Superfloe Parameterization with Physics Constraints for Uncertainty Quantification of Sea Ice Floes (Q5052908) (← links)
- Predicting observed and hidden extreme events in complex nonlinear dynamical systems with partial observations and short training time series (Q5112959) (← links)
- An Information Criterion for Choosing Observation Locations in Data Assimilation and Prediction (Q5149776) (← links)
- An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems (Q6048418) (← links)
- Uncertainty quantification of nonlinear Lagrangian data assimilation using linear stochastic forecast models (Q6115350) (← links)
- Launching Drifter Observations in the Presence of Uncertainty (Q6444907) (← links)
- Long time dynamics of stochastic fractionally dissipative quasi-geostrophic equations with stochastic damping (Q6549921) (← links)
- Conditional Gaussian nonlinear system: a fast preconditioner and a cheap surrogate model for complex nonlinear systems (Q6563632) (← links)
- Lagrangian descriptors with uncertainty (Q6584212) (← links)
- A causation-based computationally efficient strategy for deploying Lagrangian drifters to improve real-time state estimation (Q6584213) (← links)
- CGNSDE: conditional Gaussian neural stochastic differential equation for modeling complex systems and data assimilation (Q6592766) (← links)
