[HTML][HTML] Statistical modelling of the ocean environment–A review of recent developments in theory and applications
Probabilistic modelling and statistical analysis of environmental conditions is important for
the design and assessment of ships and other marine structures. It will give a necessary …
the design and assessment of ships and other marine structures. It will give a necessary …
A Bayesian copula-based nonstationary framework for compound flood risk assessment along US coastlines
When elevated coastal water levels and heavy precipitation occur simultaneously or in
succession, their joint impact may be exacerbated compared to their individual occurrence …
succession, their joint impact may be exacerbated compared to their individual occurrence …
[HTML][HTML] Multivariate statistical modelling of the drivers of compound flood events in south Florida
Abstract Miami-Dade County (south-east Florida) is among the most vulnerable regions to
sea level rise in the United States, due to a variety of natural and human factors. The co …
sea level rise in the United States, due to a variety of natural and human factors. The co …
[HTML][HTML] Imputation of missing values in environmental time series by D-vine copulas
Missing values in environmental time series are common and must be imputed before
carrying out an analysis requiring complete data. We propose an imputation method for the …
carrying out an analysis requiring complete data. We propose an imputation method for the …
Modeling multivariate ocean data using asymmetric copulas
Multivariate descriptions of ocean parameters are quite important for the design and risk
assessment of offshore engineering applications. A reliable and realistic statistical …
assessment of offshore engineering applications. A reliable and realistic statistical …
Coastal wave height prediction using Recurrent Neural Networks (RNNs) in the south Caspian Sea
The prediction of wave parameters has a great significance in the coastal and offshore
engineering. For this purpose, several models and approaches have been proposed to …
engineering. For this purpose, several models and approaches have been proposed to …
Asymmetric copula–based distribution models for met-ocean data in offshore wind engineering applications
T Fazeres-Ferradosa, F Taveira-Pinto… - Wind …, 2018 - journals.sagepub.com
Joint statistical models for long-term wave climate are a key aspect of offshore wind
engineering design. However, to find a joint model for sea-state characteristics is often …
engineering design. However, to find a joint model for sea-state characteristics is often …
Design of a rubble mound breakwater under the combined effect of wave heights and water levels, under present and future climate conditions
Abstracts Design of coastal structures without considering dependence of environmental
variables can lead to over-or under estimation of their cross-sectional dimensions, imposing …
variables can lead to over-or under estimation of their cross-sectional dimensions, imposing …
Modeling asymmetrically dependent multivariate ocean data using truncated copulas
P Ma, Y Zhang - Ocean Engineering, 2022 - Elsevier
Characterizing multivariate ocean parameters is quite important for offshore engineering
reliability design and risk assessment. To fully understand ocean conditions, a robust and …
reliability design and risk assessment. To fully understand ocean conditions, a robust and …
Wave energy assessment based on trivariate distribution of significant wave height, mean period and direction
Y Lin, S Dong - Applied Ocean Research, 2019 - Elsevier
Based on the Vine copula theory, a trivariate statistical model of significant wave height,
characterized wave period and mean wave direction was constructed. To maintain the …
characterized wave period and mean wave direction was constructed. To maintain the …