Reduced-order autodifferentiable ensemble Kalman filters (Q6058334)

scientific article; zbMATH DE number 7758514

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English	Reduced-order autodifferentiable ensemble Kalman filters	scientific article; zbMATH DE number 7758514

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instance of

scholarly article

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title

Reduced-order autodifferentiable ensemble Kalman filters (English)

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1 November 2023

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full work available at URL

https://arxiv.org/abs/2301.11961

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zbMATH Keywords

state reconstruction and forecasting

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ensemble Kalman filters

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surrogate models

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machine learning

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MaRDI profile type

MaRDI publication profile

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cites work

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Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems

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Data assimilation as a nonlinear dynamical systems problem: Stability and convergence of the prediction-assimilation system

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Iterative ensemble Kalman methods: a unified perspective with some new variants

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Tikhonov Regularization within Ensemble Kalman Inversion

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Data-driven discovery of coordinates and governing equations

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Autodifferentiable Ensemble Kalman Filters

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Lyapunov and Sacker-Sell spectral intervals

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Ensemble MCMC: accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter

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The ensemble Kalman filter for combined state and parameter estimation

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14 Ensemble Kalman filter for neural network-based one-shot inversion

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Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory

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Understanding the Ensemble Kalman Filter

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Filter accuracy for the Lorenz 96 model: fixed versus adaptive observation operators

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A framework for machine learning of model error in dynamical systems

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Strategies for Reduced-Order Models for Predicting the Statistical Responses and Uncertainty Quantification in Complex Turbulent Dynamical Systems

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Lyapunov vectors and assimilation in the unstable subspace: theory and applications

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Optimal filtering and the dual process

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Inverse Problems and Data Assimilation

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Long-Time Asymptotics of the Filtering Distribution for Partially Observed Chaotic Dynamical Systems

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Extracting Sparse High-Dimensional Dynamics from Limited Data

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Nonlinear analysis of hydrodynamic instability in laminar flames—I. Derivation of basic equations

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Q4614105

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An Ensemble Kalman Filter and Smoother for Satellite Data Assimilation

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Reduced-space Gaussian process regression for data-driven probabilistic forecast of chaotic dynamical systems

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Machine learning techniques to construct patched analog ensembles for data assimilation

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A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

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Identifiers

arXiv ID

2301.11961

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Mathematics Subject Classification ID

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10.1088/1361-6420/ACFF14

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Sitelinks

Mathematics(1 entry)

mardi Publication:6058334