Statistical techniques for estimating directional ocean waves

Jake Grainger’s PhD research project applies generalised mathematical and statistical techniques to describe ocean wave fields.

Understanding the characteristics of wind-generated waves is important for modelling structural responses in ocean engineering, from designing ships and marine structures to modelling coastal flood risk.

Jake has published a paper in the Journal of the Royal Statistical Society Series C: Applied Statistics that applies statistical techniques to better utilise the buoy data that is recorded across the world’s oceans and discusses some of the practical challenges of this approach. 

The paper is open access, so anyone can read it for free. 

You can find out more about Jake’s PhD research and access his other paper published in Ocean Engineering here, alongside a MATLAB toolbox which implements the methods and code to generate the figures in this paper which can be found on GitHub.

Citation

Jake P Grainger, Adam M Sykulski, Kevin Ewans, Hans F Hansen, Philip Jonathan, A multivariate pseudo-likelihood approach to estimating directional ocean wave models, Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 72, Issue 3, June 2023, Pages 544–565, 

https://doi.org/10.1093/jrsssc/qlad006

Funding information

Jake’s research was part of the STOR-i doctoral training programme on Statistics and Operational Research funded by the UK Engineering and Physical Sciences Research Council (Grant EP/L015692/1), with the support of JBA Trust.