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A model for the directional evolution of severe ocean storms

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A model for the directional evolution of severe ocean storms. / Tendijck, S.; Ross, E.; Randell, D. et al.
In: Environmetrics, Vol. 30, No. 1, e2541, 01.02.2019.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Tendijck, S, Ross, E, Randell, D & Jonathan, P 2019, 'A model for the directional evolution of severe ocean storms', Environmetrics, vol. 30, no. 1, e2541. https://doi.org/10.1002/env.2541

APA

Tendijck, S., Ross, E., Randell, D., & Jonathan, P. (2019). A model for the directional evolution of severe ocean storms. Environmetrics, 30(1), Article e2541. https://doi.org/10.1002/env.2541

Vancouver

Tendijck S, Ross E, Randell D, Jonathan P. A model for the directional evolution of severe ocean storms. Environmetrics. 2019 Feb 1;30(1):e2541. Epub 2018 Oct 23. doi: 10.1002/env.2541

Author

Tendijck, S. ; Ross, E. ; Randell, D. et al. / A model for the directional evolution of severe ocean storms. In: Environmetrics. 2019 ; Vol. 30, No. 1.

Bibtex

@article{65209809c0104be59429cb39b5203a23,
title = "A model for the directional evolution of severe ocean storms",
abstract = "Motivated by recent work on Markov extremal models, we develop a nonstationary extension and use it to characterize the time evolution of extreme sea state significant wave height (H S ) and storm direction in the vicinity of the storm peak sea state. The approach first requires transformation of H S from a physical to a standard Laplace scale achieved using a nonstationary directional marginal extreme value model. The evolution of Laplace-scale H S is subsequently characterized using a Markov extremal model and that of the rate of change of storm direction described by an autoregressive model, the evolution variance of which is H S -dependent. Simulations on the physical scale under the estimated model give realistic realizations of storm trajectories consistent with historical data for storm trajectories at a northern North Sea location. {\textcopyright} 2018 John Wiley & Sons, Ltd.",
keywords = "extreme, Markov extremal model, nonstationary, significant wave height, storm trajectory, extreme event, numerical model, sea state, storm, trajectory, Atlantic Ocean, North Sea",
author = "S. Tendijck and E. Ross and D. Randell and P. Jonathan",
year = "2019",
month = feb,
day = "1",
doi = "10.1002/env.2541",
language = "English",
volume = "30",
journal = "Environmetrics",
issn = "1180-4009",
publisher = "John Wiley and Sons Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - A model for the directional evolution of severe ocean storms

AU - Tendijck, S.

AU - Ross, E.

AU - Randell, D.

AU - Jonathan, P.

PY - 2019/2/1

Y1 - 2019/2/1

N2 - Motivated by recent work on Markov extremal models, we develop a nonstationary extension and use it to characterize the time evolution of extreme sea state significant wave height (H S ) and storm direction in the vicinity of the storm peak sea state. The approach first requires transformation of H S from a physical to a standard Laplace scale achieved using a nonstationary directional marginal extreme value model. The evolution of Laplace-scale H S is subsequently characterized using a Markov extremal model and that of the rate of change of storm direction described by an autoregressive model, the evolution variance of which is H S -dependent. Simulations on the physical scale under the estimated model give realistic realizations of storm trajectories consistent with historical data for storm trajectories at a northern North Sea location. © 2018 John Wiley & Sons, Ltd.

AB - Motivated by recent work on Markov extremal models, we develop a nonstationary extension and use it to characterize the time evolution of extreme sea state significant wave height (H S ) and storm direction in the vicinity of the storm peak sea state. The approach first requires transformation of H S from a physical to a standard Laplace scale achieved using a nonstationary directional marginal extreme value model. The evolution of Laplace-scale H S is subsequently characterized using a Markov extremal model and that of the rate of change of storm direction described by an autoregressive model, the evolution variance of which is H S -dependent. Simulations on the physical scale under the estimated model give realistic realizations of storm trajectories consistent with historical data for storm trajectories at a northern North Sea location. © 2018 John Wiley & Sons, Ltd.

KW - extreme

KW - Markov extremal model

KW - nonstationary

KW - significant wave height

KW - storm trajectory

KW - extreme event

KW - numerical model

KW - sea state

KW - storm

KW - trajectory

KW - Atlantic Ocean

KW - North Sea

U2 - 10.1002/env.2541

DO - 10.1002/env.2541

M3 - Journal article

VL - 30

JO - Environmetrics

JF - Environmetrics

SN - 1180-4009

IS - 1

M1 - e2541

ER -