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CSDA
2016

Fast computation of large scale marginal extremes with multi-dimensional covariates

3 years 6 months ago
Fast computation of large scale marginal extremes with multi-dimensional covariates
Safe and reliable design and operation of fixed and floating marine structures often located in remote and hostile environments is challenging. Rigorous extreme value analysis of meteorological and oceanographic data can greatly aid the design of such structures. Extreme value analysis is typically undertaken for single spatial locations or for small neighbourhoods; moreover, non-stationary effects of covariates on extreme values are typically accommodated in an ad-hoc manner. The objective of the work summarised here is to improve design practice by estimating environmental design conditions (such as return values for extreme waves, winds and currents) for a whole ocean basin, including additional covariate effects (such as storm direction) as necessary, in a consistent manner. Whole-basin non-stationary extreme value modelling is computationally complex, requiring inter-alia the estimation of tail functions, the parameters of which vary with respect to multi-dimensional covariat...
Laks Raghupathi, David Randell, Kevin Ewans, Phili
Added 01 Apr 2016
Updated 01 Apr 2016
Type Journal
Year 2016
Where CSDA
Authors Laks Raghupathi, David Randell, Kevin Ewans, Philip Jonathan
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