Assimilation of HF radar data into the SWAN wave model

Siddons, L.A.; Wyatt, L.R.; Wolf, J. ORCID: https://orcid.org/0000-0003-4129-8221. 2009 Assimilation of HF radar data into the SWAN wave model. Journal of Marine Systems, 77 (3). 312-324. https://doi.org/10.1016/j.jmarsys.2007.12.017

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Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.jmarsys.2007.12.017
Programmes:	Oceans 2025 > Shelf and coastal processes
Additional Keywords:	Data assimilation; HF radar; SWAN; Wave modelling
NORA Subject Terms:	Marine Sciences
Date made live:	30 Mar 2009 14:45 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/6508

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.jmarsys.2007.12.017

Programmes:

Oceans 2025 > Shelf and coastal processes

Additional Keywords:

Data assimilation; HF radar; SWAN; Wave modelling

NORA Subject Terms:

Marine Sciences

Date made live:

30 Mar 2009 14:45 +0 (UTC)