10 citations · 17 across the 6 of their papers we have counts for
7 papers
Model selection in extreme value regression for estimation of changes in return values over time applied to extreme annual regional CMIP6 desert temperatures
Callum Leach, Kevin Ewans, Philip Jonathan
Estimating changes in extremes quantiles from environmental processes non-stationary in time, from small samples is challenging since it is difficult to characterise tail non-stati…
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…
Uncertainties in estimating the effect of climate change on 100-year return value for significant wave height
Kevin Ewans, Philip Jonathan
Estimating climate effects on future ocean storm severity is plagued by large uncertainties, yet for safe design and operation of offshore structures, best possible estimates of cl…
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…
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.…
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…