Siddons, L.A., Wyatt, L.R. and Wolf, J. (2009) Assimilation of HF radar data into the SWAN wave model. Journal of Marine Systems, 77 (3). pp. 312-324. ISSN 0924-7963Full text not available from this repository. (Request a copy)
Data assimilation is a method used for optimally combining information to improve forecasting and model parameters. Three data assimilation algorithms are investigated and used for assimilating HF radar data into the SWAN wave model. The schemes under consideration are the Ensemble Kalman Filter, Ensemble Optimal Interpolation and a Three-Dimensional Variational scheme. Two approaches for updating the ocean wave spectrum are considered which consist of describing the spectrum using integral wave parameters of the whole spectrum and wave parameters within various frequency bands. The results show improvement in the wave parameters at the buoy location for the 3DVAR and ENS-OI scheme. The EnKF only shows good performance in one of the considered runs which leads to a conclusion that the methods used for calculating the errors for the EnKF scheme need further analysis.
|Keywords:||Data assimilation; HF radar; SWAN; Wave modelling|
|Institution:||The University of Sheffield|
|Academic Units:||The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)|
|Depositing User:||Mrs Megan Hobbs|
|Date Deposited:||23 Mar 2010 15:51|
|Last Modified:||16 Nov 2015 11:48|