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A model for the directional evolution of severe ocean storms

Author

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  • S. Tendijck
  • E. Ross
  • D. Randell
  • P. Jonathan

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 (HS) and storm direction in the vicinity of the storm peak sea state. The approach first requires transformation of HS from a physical to a standard Laplace scale achieved using a nonstationary directional marginal extreme value model. The evolution of Laplace‐scale HS 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 HS‐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.

Suggested Citation

  • S. Tendijck & E. Ross & D. Randell & P. Jonathan, 2019. "A model for the directional evolution of severe ocean storms," Environmetrics, John Wiley & Sons, Ltd., vol. 30(1), February.
  • Handle: RePEc:wly:envmet:v:30:y:2019:i:1:n:e2541
    DOI: 10.1002/env.2541
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    Cited by:

    1. Stan Tendijck & Philip Jonathan & David Randell & Jonathan Tawn, 2024. "Temporal evolution of the extreme excursions of multivariate k$$ k $$th order Markov processes with application to oceanographic data," Environmetrics, John Wiley & Sons, Ltd., vol. 35(3), May.

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