Please use this identifier to cite or link to this item:
|Title:||Enhancing tidal prediction accuracy in a deterministic model using chaos theory|
|Citation:||Sannasiraj, S.A., Zhang, H., Babovic, V., Chan, E.S. (2004-07). Enhancing tidal prediction accuracy in a deterministic model using chaos theory. Advances in Water Resources 27 (7) : 761-772. ScholarBank@NUS Repository. https://doi.org/10.1016/j.advwatres.2004.03.006|
|Abstract:||The classical deterministic approach to tidal prediction is based on barotropic or baroclinic models with prescribed boundary conditions from a global model or measurements. The prediction by the deterministic model is limited by the precision of the prescribed initial and boundary conditions. Improvement to the knowledge of model formulation would only marginally increase the prediction accuracy without the correct driving forces. This study describes an improvement in the forecasting capability of the tidal model by combining the best of a deterministic model and a stochastic model. The latter is overlaid on the numerical model predictions to improve the forecast accuracy. The tidal prediction is carried out using a three-dimensional baroclinic model and, error correction is instigated using a stochastic model based on a local linear approximation. Embedding theorem based on the time lagged embedded vectors is the basis for the stochastic model. The combined model could achieve an efficiency of 80% for 1 day tidal forecast and 73% for a 7 day tidal forecast as compared to the deterministic model estimation. © 2004 Elsevier Ltd. All rights reserved.|
|Source Title:||Advances in Water Resources|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 15, 2018
WEB OF SCIENCETM
checked on Oct 8, 2018
checked on Oct 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.