Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jmarsys.2004.05.028
Title: Error correction of a predictive ocean wave model using local model approximation
Authors: Babovic, V.
Sannasiraj, S.A.
Chan, E.S. 
Keywords: Chaos theory
Embedding theorem
Genetic algorithm
Local model
Optimization
Wave forecasting
Issue Date: Jan-2005
Source: Babovic, V., Sannasiraj, S.A., Chan, E.S. (2005-01). Error correction of a predictive ocean wave model using local model approximation. Journal of Marine Systems 53 (1-4) : 1-17. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jmarsys.2004.05.028
Abstract: Constructing models from time series with nontrivial dynamics is a difficult problem. The classical approach is to build a model from first principles and use it to forecast on the basis of the initial conditions. Unfortunately, this is not always possible. For example, in fluid dynamics, a perfect model in the form of the Navier-Stokes equations exists, but initial conditions and accurate forcing terms are difficult to obtain. In other cases, a good model may not exist. In either case, alternative approaches should be examined. This paper describes an alternative approach of combining observations and numerical model results in order to produce an accurate forecast. The approach is based on application of a method inspired by chaos theory for building nonlinear models from data called Local Models. Embedding theorem based on the time lagged embedded vectors is the basis for the local model. This technique is used for analysis and updating of numerical model output variables to forecast and correct the errors created by numerical model. The local model approximation is a powerful tool in the forecasting of chaotic time series and has been employed for wave prediction in a forecasting horizon from a few hours to 24 h. The efficacy of the local model as an error correction tool (by combining the model predictions with the observations) compared with the predictions of linear auto regressive models has been brought up. In the present study, the parameters driving the local model are optimized using evolutionary algorithms. © 2004 Elsevier B.V. All rights reserved.
Source Title: Journal of Marine Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/65542
ISSN: 09247963
DOI: 10.1016/j.jmarsys.2004.05.028
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

34
checked on Dec 13, 2017

WEB OF SCIENCETM
Citations

31
checked on Nov 16, 2017

Page view(s)

27
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.