Data assimilation using noisy time-averaged measurements

DOI10.1016/j.physd.2017.12.004zbMath1398.93119OpenAlexW2773450228MaRDI QIDQ1990072

Vincent R. Martinez, Jordan Blocher, Eric J. Olson

Publication date: 24 October 2018

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2017.12.004

zbMATH Keywords

Lorenz equationsdata assimilationnoisyblurred-in-time

Mathematics Subject Classification ID

Feedback control (93B52) Control/observation systems governed by functional-differential equations (93C23) Data smoothing in stochastic control theory (93E14) Stochastic functional-differential equations (34K50) Asymptotic properties of solutions to ordinary differential equations (34D05) Chaos control for problems involving ordinary differential equations (34H10)

Related Items (7)

Dynamically learning the parameters of a chaotic system using partial observations ⋮ Data assimilation with model error: analytical and computational study for sabra shell model ⋮ Determining the viscosity of the Navier–Stokes equations from observations of finitely many modes ⋮ Data Assimilation in Large Prandtl Rayleigh--Bénard Convection from Thermal Measurements ⋮ Continuous data assimilation for the three-dimensional simplified Bardina model utilizing measurements of only two components of the velocity field ⋮ Introduction to special issue: ``Nonlinear partial differential equations in mathematical fluid dynamics ⋮ Continuous data assimilation with blurred-in-time measurements of the surface quasi-geostrophic equation

Cites Work

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• A Computational Study of a Data Assimilation Algorithm for the Two-dimensional Navier-Stokes Equations
• A Discrete Data Assimilation Scheme for the Solutions of the Two-Dimensional Navier--Stokes Equations and Their Statistics
• Brownian Motion

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