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Details of Grant 

EPSRC Reference: GR/J50934/01
Title: APPL. OF COMPUTATIONAL GEOMETRY TO THE ANALYSIS OF DIRECTIONAL OCEAN WAVE SPECTRA MEASURED BY HF RADAR
Principal Investigator: Wyatt, Professor LR
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Applied & Computational Mathematics
Organisation: University of Sheffield
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 1993 Ends: 30 September 1996 Value (£): 105,177
EPSRC Research Topic Classifications:
Condensed Matter Physics
EPSRC Industrial Sector Classifications:
Energy
Related Grants:
Panel History:  
Summary on Grant Application Form
1. To improve the accuracy of wave mode identification and analysis. 2. Application of methods of computational geometry, developed for wave mode identification from inverted radar data, to the inversion itself. (1) The identification and analysis of wave modes. Three areas of work are proposed. (a) An exhaustive test of the measure used to identify wind sea and, if necessary, the development of an improved measure. (b) An iterative refinement of the thresholding technique and the possible application of morphological thinning to a skeletal tree to yield a refined partitioning of the directional wave spectra into modes. (3) Modelling to partition the below theshold energy between modes. (2) New applications. The use of a Voronoi diagram can considerably reduce the computing time needed for the inversion of HF radar Doppler spectra to give the directional ocean wave spectrum. The current Voronoi diagram algorithm is in C , while the inversion routine is in Fortran. It is proposed to recode the inversion in a mixture of C and Fortran. Fortran will be retained for the important numerical aspects of the inversion where necessary in order to ensure continued maintainability and development. (b) Filtering. Noise in the data can be removed by manipulating the tree structure, but if noise is severe morphological filters may help and this will be investigated.
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Organisation Website: http://www.shef.ac.uk