Pages that link to "Item:Q1887751"

The following pages link to A computational strategy for multiscale systems with applications to Lorenz 96 model (Q1887751):

Displaying 39 items.

• Sampling, feasibility, and priors in data assimilation (Q262096) (← links)
• The use of imprecise processing to improve accuracy in weather \& climate prediction (Q349240) (← links)
• New perspectives on superparameterization for geophysical turbulence (Q349248) (← links)
• Multi-level dynamical systems: connecting the Ruelle response theory and the Mori-Zwanzig approach (Q358672) (← links)
• Variable step size multiscale methods for stiff and highly oscillatory dynamical systems (Q379786) (← links)
• Multiscale stochastic simulations of chemical reactions with regulated scale separation (Q402182) (← links)
• Fluctuations in the heterogeneous multiscale methods for fast-slow systems (Q721963) (← links)
• Modeling of missing dynamical systems: deriving parametric models using a nonparametric framework (Q783086) (← links)
• A general strategy for designing seamless multiscale methods (Q834091) (← links)
• Short-time linear response with reduced-rank tangent map (Q964788) (← links)
• The sharp interface limit for the stochastic Cahn-Hilliard equation (Q1635971) (← links)
• Computing singularly perturbed differential equations (Q1700745) (← links)
• Travelling waves and their bifurcations in the Lorenz-96 model (Q1701306) (← links)
• A multiscale method for highly oscillatory dynamical systems using a Poincaré map type technique (Q1945367) (← links)
• Averaging principle for a stochastic coupled fast-slow atmosphere-ocean model (Q2048586) (← links)
• Weak and strong averaging principle for a stochastic coupled fast-slow atmosphere-ocean model with non-Lipschitz Lévy noise (Q2078597) (← links)
• Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data (Q2083640) (← links)
• Particle filters with nudging in multiscale chaotic systems: with application to the Lorenz '96 atmospheric model (Q2190694) (← links)
• Approximate linear response for slow variables of dynamics with explicit time scale separation (Q2638281) (← links)
• Stochastic parametrization with VARX processes (Q2663219) (← links)
• Iterated Kalman methodology for inverse problems (Q2671376) (← links)
• Data assimilation in a multi-scale model (Q2681720) (← links)
• A multiscale computation for highly oscillatory dynamical systems using empirical mode decomposition (EMD)-type methods (Q2806417) (← links)
• Parareal multiscale methods for highly oscillatory dynamical systems (Q2833531) (← links)
• Challenges in climate science and contemporary applied mathematics (Q2892962) (← links)
• Oscillatory Systems with Three Separated Time Scales: Analysis and Computation (Q2897256) (← links)
• Particle filtering in high-dimensional chaotic systems (Q2944667) (← links)
• A multiscale method for highly oscillatory ordinary differential equations with resonance (Q3055125) (← links)
• Mathematical test models for superparametrization in anisotropic turbulence (Q3066187) (← links)
• PARTICLE FILTERS IN A MULTISCALE ENVIRONMENT: WITH APPLICATION TO THE LORENZ-96 ATMOSPHERIC MODEL (Q3174009) (← links)
• The Heterogeneous Multiscale Methods with Application to Combustion (Q4603292) (← links)
• Kernel Analog Forecasting: Multiscale Test Problems (Q5006465) (← links)
• A framework for machine learning of model error in dynamical systems (Q6076655) (← links)
• Efficiency gains of a multi-scale integration method applied to a scale-separated model for rapidly rotating dynamos (Q6102015) (← links)
• Quantum Mechanics for Closure of Dynamical Systems (Q6150480) (← links)
• Learning to Forecast Dynamical Systems from Streaming Data (Q6168204) (← links)
• GANs training: A game and stochastic control approach (Q6196295) (← links)
• Conditional Gaussian nonlinear system: a fast preconditioner and a cheap surrogate model for complex nonlinear systems (Q6563632) (← links)
• Learning about structural errors in models of complex dynamical systems (Q6572173) (← links)