activity
20122026
most citedEvaluating environmental joint extremes for the offshore industry

10 citations · 17 across the 6 of their papers we have counts for

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Showing stat.APShow all

5 papers · 1 filter

stat.AP2025

Changes over time in the 100-year return value of climate model variables

Callum Leach, Kevin Ewans, Philip Jonathan

We assess evidence for changes in tail characteristics of wind, solar irradiance and temperature variables output from CMIP6 global climate models (GCMs) due to climate forcing. We…

stat.AP2022★ 7 cited

A multivariate pseudo-likelihood approach to estimating directional ocean wave models

Jake P. Grainger, Adam M. Sykulski, Kevin Ewans +2

Ocean buoy data in the form of high frequency multivariate time series are routinely recorded at many locations in the world's oceans. Such data can be used to characterise the oce…

stat.AP2020

Estimating the parameters of ocean wave spectra

Jake P. Grainger, Adam M. Sykulski, Philip Jonathan +1

Wind-generated waves are often treated as stochastic processes. There is particular interest in their spectral density functions, which are often expressed in some parametric form.…

stat.AP2018

Statistics of extreme ocean environments: Non-stationary inference for directionality and other covariate effects

Matthew Jones, David Randell, Kevin Ewans +1

Numerous approaches are proposed in the literature for non-stationarity marginal extreme value inference, including different model parameterisations with respect to covariate, and…

stat.AP2012★ 10 cited

Evaluating environmental joint extremes for the offshore industry

Kevin Ewans, Philip Jonathan

Understanding extreme ocean environments and their interaction with fixed and floating structures is critical for the design of offshore and coastal facilities. The joint effect of…