Application of the distributed parameter filter to predict simulated tidal induced shallow water flow
type: Item
instance of: scholarly article
title: Application of the distributed parameter filter to predict simulated tidal induced shallow water flow
zbMATH Open document ID: 0823.76063
DOI: 10.1007/BF01581756
author: R. C. Curi
author: T. E. Unny
author: K. Ponnambalam
author: Keith William Hipel
published in: Stochastic Hydrology and Hydraulics
publication date: 1995-06-08T00:00:00Z
review text: Distributed parameter filtering theory is employed for estimating the state variables and associated error covariances of a dynamical distributed system under highly random tidal and meteorological influences. The stochastic-deterministic mathematical model of the physical system under study consists of the shallow water equations described by the momentum and continuity equations in which the external forces such as Coriolis force, wind friction, and atmospheric pressure are considered. White Gaussian noises in the system and measurement equations are used to account for the inherent stochasticity of the system.
Mathematics Subject Classification ID: 76M35
Mathematics Subject Classification ID: 86A05
zbMATH DE Number: 762195
zbMATH Keywords: data assimilation
zbMATH Keywords: white Gaussian noise
zbMATH Keywords: state variables
zbMATH Keywords: error covariances
zbMATH Keywords: Coriolis force
zbMATH Keywords: wind friction
zbMATH Keywords: atmospheric pressure
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 762195