Test models for improving filtering with model errors through stochastic parameter estimation
type: Item
instance of: scholarly article
title: Test models for improving filtering with model errors through stochastic parameter estimation
zbMATH Open document ID: 1178.93133
published in: Journal of Computational Physics
publication date: 2009-12-21T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 76F70
zbMATH DE Number: 5650848
zbMATH Keywords: stochastic parameter estimation
zbMATH Keywords: Kalman filter
zbMATH Keywords: filtering turbulence
zbMATH Keywords: data assimilation
zbMATH Keywords: model error
Wikidata QID: Q57441492
author: B. Gershgorin
author: John Harlim
author: Andrew J. Majda
MaRDI profile type: Publication
full work available at URL: j.jcp.2009.08.019
OpenAlex ID: W2102440630
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cites work: Information Theory and Stochastics for Multiscale Nonlinear Systems
cites work: Explicit off-line criteria for stable accurate time filtering of strongly unstable spatially extended systems
cites work: Q3867381
cites work: Mathematical test criteria for filtering complex systems: Plentiful observations
cites work: Mathematical strategies for filtering complex systems: Regularly spaced sparse observations
cites work: Filtering nonlinear dynamical systems with linear stochastic models
cites work: Catastrophic filter divergence in filtering nonlinear dissipative systems
cites work: Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation
cites work: Handbook of stochastic methods for physics, chemistry and natural sciences.
cites work: Q4850319
DBLP publication ID: journals/jcphy/GershgorinHM10
DOI: 10.1016/J.JCP.2009.08.019
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description: scientific article; zbMATH DE number 5650848