Safe and reliable design and operation of fixed and floating marine structures often located in remote and hostile en-vironments 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 directio...
Understanding the interaction of ocean environments with fixed and floating structures is critical t...
Specification of realistic environmental design conditions for marine structures is of funda-mental ...
Metocean extremes often vary systematically with covariates such as direction and season. In this wo...
Safe and reliable design and operation of fixed and floating marine structures often located in remo...
We review aspects of extreme value modelling relevant to characterisation of ocean environments and ...
We review aspects of extreme value modelling relevant to characterisation of ocean environments and ...
Characterising the joint distribution of extremes of ocean environmental variables such as significa...
Careful modelling of non-stationarity is critical to reliable specification of marine and coastal de...
Characterising the joint distribution of extremes of ocean environmental variables such as significa...
Careful modelling of non-stationarity is critical to reliable specification of marine and coastal de...
The study of the behaviour of the extreme values of a variable such as wave height is very important...
Our physical environment gives rise to extreme events (river floods, heatwaves, atmospheric pollutio...
Methods of computational statistics allow efficient estimation of extreme ocean environments, and fa...
Numerous approaches are proposed in the literature for non-stationarity marginal extreme value infer...
Methods of computational statistics allow efficient estimation of extreme ocean environments, and fa...
Understanding the interaction of ocean environments with fixed and floating structures is critical t...
Specification of realistic environmental design conditions for marine structures is of funda-mental ...
Metocean extremes often vary systematically with covariates such as direction and season. In this wo...
Safe and reliable design and operation of fixed and floating marine structures often located in remo...
We review aspects of extreme value modelling relevant to characterisation of ocean environments and ...
We review aspects of extreme value modelling relevant to characterisation of ocean environments and ...
Characterising the joint distribution of extremes of ocean environmental variables such as significa...
Careful modelling of non-stationarity is critical to reliable specification of marine and coastal de...
Characterising the joint distribution of extremes of ocean environmental variables such as significa...
Careful modelling of non-stationarity is critical to reliable specification of marine and coastal de...
The study of the behaviour of the extreme values of a variable such as wave height is very important...
Our physical environment gives rise to extreme events (river floods, heatwaves, atmospheric pollutio...
Methods of computational statistics allow efficient estimation of extreme ocean environments, and fa...
Numerous approaches are proposed in the literature for non-stationarity marginal extreme value infer...
Methods of computational statistics allow efficient estimation of extreme ocean environments, and fa...
Understanding the interaction of ocean environments with fixed and floating structures is critical t...
Specification of realistic environmental design conditions for marine structures is of funda-mental ...
Metocean extremes often vary systematically with covariates such as direction and season. In this wo...