Set of Matlab(r) functions for the partition of directional wave spectra to its wind and different swell components. The partitions are initially identified using a watershed defining algorithm and then are modified following mostly the method described in Hanson and Phillips (2001).
Authors:
Douglas Cahl and George Voulgaris
School of the Earth, Ocean and Environment
University of South Carolina
Columbia, SC, 29205, USA.
Code Updates:
- 1/22/2020 - waveparams.m - the mean freq. (fm) estimate was incorrect; it has been corrected.
- 1/22/2020 - partition.m was updated to catch cases when a flat spectrum is given as input.
- 1/22/2020 - master_partition.m was updated so that it calls waveparams.m with the correct number of outputs.
- 1/21/2020 - waveparams.m - the Hrms estimate was incorrect; also the mean direction now is given in -180 to +180 deg range.
Citation:
- Douglas, C. and Voulgaris, G., 2019, WavePART: MATLAB(r) software for the partition of directional ocean wave spectra.: Zenodo, doi:10.5281/zenodo.2638500.
Relevant References:
- J.L. Hanson and O.M. Philips, 2001. Automated Analysis of Ocean Surface Directional Wave Spectra. Journal of Oceanic and Atmospheric Technology, 18, 278-293.
- J. Portilla, F.J. Ocampo-Torres, and J. Monbaliu, 2009. Spectral Partitioning and Identification of Wind Sea and Swell. Journal of Oceanic and Atmospheric Technology, 26, 107-121. DOI: 10.1175/2008JTECHO609.1
- E. Cheynet, 2019. Pcolor in Polar Coordinates (https://www.mathworks.com/matlabcentral/fileexchange/49040-pcolor-in-polar-coordinates), MATLAB Central File Exchange. Retrieved March 16, 2019.