Parameterised non-intrusive reduced order methods for ensemble Kalman filter data assimilation (Q1626167)

scientific article; zbMATH DE number 6985003

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English	Parameterised non-intrusive reduced order methods for ensemble Kalman filter data assimilation	scientific article; zbMATH DE number 6985003

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instance of

scholarly article

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title

Parameterised non-intrusive reduced order methods for ensemble Kalman filter data assimilation (English)

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26 November 2018

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zbMATH Keywords

parameterised NIROM

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RBF

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describes a project that uses

EnKF

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MaRDI profile type

Publication

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full work available at URL

https://doi.org/10.1016/j.compfluid.2018.10.006

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cites work

A reduced adjoint approach to variational data assimilation

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An `empirical interpolation' method: Application to efficient reduced-basis discretization of partial differential equations

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Radial Basis Functions

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The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows

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Nonlinear Model Reduction via Discrete Empirical Interpolation

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Cross-covariances and localization for EnKF in multiphase flow data assimilation

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Comparative Study with Data Assimilation Experiments Using Proper Orthogonal Decomposition Method

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Numerical Simulations with Data Assimilation Using an Adaptive POD Procedure

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POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow

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The ensemble Kalman filter for combined state and parameter estimation

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Reduced‐order modelling of an adaptive mesh ocean model

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\(\alpha \) regularization of the POD-Galerkin dynamical systems of the Kuramoto-Sivashinsky equation

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Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods

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An Ensemble-Proper Orthogonal Decomposition Method for the Nonstationary Navier--Stokes Equations

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Efficient non linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations

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Efficient characterization of uncertain model parameters with a reduced-order ensemble Kalman filter

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On the need for a nonlinear subscale turbulence term in POD models as exemplified for a high-Reynolds-number flow over an Ahmed body

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Displacement data assimilation

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On long-term boundedness of Galerkin models

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POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation

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Reduced order modelling for unsteady fluid flow using proper orthogonal decomposition and radial basis functions

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Non-intrusive reduced order modelling of the Navier-Stokes equations

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Nonlinear model reduction for the Navier-Stokes equations using residual DEIM method

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Non-linear Petrov-Galerkin methods for reduced order modelling of the Navier-Stokes equations using a mixed finite element pair

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Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation

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A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications

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Identifiers

zbMATH Open document ID

1410.76397

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Mathematics Subject Classification ID

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10.1016/J.COMPFLUID.2018.10.006

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Sitelinks

Mathematics(1 entry)

mardi Publication:1626167