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Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea. / Feld, G.; Randell, D.; Wu, Y. et al.
ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering: Volume 4A: Structures, Safety and Reliability. ASME, 2014. V04AT02A014.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Feld, G, Randell, D, Wu, Y, Ewans, K & Jonathan, P 2014, Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea. in ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering: Volume 4A: Structures, Safety and Reliability., V04AT02A014, ASME. https://doi.org/10.1115/OMAE2014-23157

APA

Feld, G., Randell, D., Wu, Y., Ewans, K., & Jonathan, P. (2014). Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea. In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering: Volume 4A: Structures, Safety and Reliability Article V04AT02A014 ASME. https://doi.org/10.1115/OMAE2014-23157

Vancouver

Feld G, Randell D, Wu Y, Ewans K, Jonathan P. Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea. In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering: Volume 4A: Structures, Safety and Reliability. ASME. 2014. V04AT02A014 doi: 10.1115/OMAE2014-23157

Author

Feld, G. ; Randell, D. ; Wu, Y. et al. / Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea. ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering: Volume 4A: Structures, Safety and Reliability. ASME, 2014.

Bibtex

@inproceedings{a515ad7bf66c4b3bb58067ea93b1e566,
title = "Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea",
abstract = "Specification of realistic environmental design conditions for marine structures is of fundamental importance to their reliability over time. Design conditions for extreme waves and storm severities are typically estimated by extreme value analysis of time series of measured or hindcast significant wave height, HS. This analysis is complicated by two effects. Firstly, HS exhibits temporal dependence. Secondly, the characteristics of HS sp are non-stationary with respect to multiple covariates, particularly wave direction and season. We develop directional-seasonal design values for storm peak significant wave height (HS sp) by estimation of, and simulation under a non-stationary extreme value model for HS sp. Design values for significant wave height (HS) are estimated by simulating storm trajectories of HS consistent with the simulated storm peak events. Design distributions for individual maximum wave height (Hmax) are estimated by marginalisation using the known conditional distribution for Hmax given HS. Particular attention is paid to the assessment of model bias and quantification of model parameter and design value uncertainty using bootstrap resampling. We also outline existing work on extension to estimation of maximum crest elevation and total extreme water level. Copyright {\textcopyright} 2014 by ASME.",
keywords = "Ocean currents, Offshore structures, Storms, Time series analysis, Water levels, Water waves, Bootstrap resampling, Conditional distribution, Design condition, Extreme value analysis, Maximum wave height, Significant wave height, Storm trajectories, Temporal dependence, Structural design",
author = "G. Feld and D. Randell and Y. Wu and K. Ewans and P. Jonathan",
year = "2014",
doi = "10.1115/OMAE2014-23157",
language = "English",
isbn = "9780791845424",
booktitle = "ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering",
publisher = "ASME",

}

RIS

TY - GEN

T1 - Estimation of storm peak and intra-storm directional-seasonal design conditions in the North Sea

AU - Feld, G.

AU - Randell, D.

AU - Wu, Y.

AU - Ewans, K.

AU - Jonathan, P.

PY - 2014

Y1 - 2014

N2 - Specification of realistic environmental design conditions for marine structures is of fundamental importance to their reliability over time. Design conditions for extreme waves and storm severities are typically estimated by extreme value analysis of time series of measured or hindcast significant wave height, HS. This analysis is complicated by two effects. Firstly, HS exhibits temporal dependence. Secondly, the characteristics of HS sp are non-stationary with respect to multiple covariates, particularly wave direction and season. We develop directional-seasonal design values for storm peak significant wave height (HS sp) by estimation of, and simulation under a non-stationary extreme value model for HS sp. Design values for significant wave height (HS) are estimated by simulating storm trajectories of HS consistent with the simulated storm peak events. Design distributions for individual maximum wave height (Hmax) are estimated by marginalisation using the known conditional distribution for Hmax given HS. Particular attention is paid to the assessment of model bias and quantification of model parameter and design value uncertainty using bootstrap resampling. We also outline existing work on extension to estimation of maximum crest elevation and total extreme water level. Copyright © 2014 by ASME.

AB - Specification of realistic environmental design conditions for marine structures is of fundamental importance to their reliability over time. Design conditions for extreme waves and storm severities are typically estimated by extreme value analysis of time series of measured or hindcast significant wave height, HS. This analysis is complicated by two effects. Firstly, HS exhibits temporal dependence. Secondly, the characteristics of HS sp are non-stationary with respect to multiple covariates, particularly wave direction and season. We develop directional-seasonal design values for storm peak significant wave height (HS sp) by estimation of, and simulation under a non-stationary extreme value model for HS sp. Design values for significant wave height (HS) are estimated by simulating storm trajectories of HS consistent with the simulated storm peak events. Design distributions for individual maximum wave height (Hmax) are estimated by marginalisation using the known conditional distribution for Hmax given HS. Particular attention is paid to the assessment of model bias and quantification of model parameter and design value uncertainty using bootstrap resampling. We also outline existing work on extension to estimation of maximum crest elevation and total extreme water level. Copyright © 2014 by ASME.

KW - Ocean currents

KW - Offshore structures

KW - Storms

KW - Time series analysis

KW - Water levels

KW - Water waves

KW - Bootstrap resampling

KW - Conditional distribution

KW - Design condition

KW - Extreme value analysis

KW - Maximum wave height

KW - Significant wave height

KW - Storm trajectories

KW - Temporal dependence

KW - Structural design

U2 - 10.1115/OMAE2014-23157

DO - 10.1115/OMAE2014-23157

M3 - Conference contribution/Paper

SN - 9780791845424

BT - ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering

PB - ASME

ER -