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Can rogue waves be predicted using characteristic wave parameters?

Can rogue waves be predicted using characteristic wave parameters?
Can rogue waves be predicted using characteristic wave parameters?
Rogue waves are ocean surface waves larger than the surrounding sea that can pose a danger to ships and offshore structures. They are often deemed unpredictable without complex measurement of the wave field and computationally intensive calculation which is infeasible in most applications, consequently there a need for fast predictors.

Here we collate, quality control, and analyse the largest dataset of single‐point field measurements from surface following wave buoys to search for predictors of rogue wave occurrence. We find that analysis of the sea state parameters in bulk yields no predictors, as the subset of seas containing rogue waves sits within the set of seas without. However, spectral bandwidth parameters of rogue seas display different probability distributions to normal seas, but these parameters are rarely provided in wave forecasts. When location is accounted for, trends can be identified in the occurrence of rogue waves as a function of the average seas state characteristics at that location. These trends follow a power law relationship with the characteristic sea state parameters: mean significant wave height and mean zero up‐crossing wave period. We find that frequency of occurrence of rogue waves and their generating mechanism is not spatially uniform, and each location is likely to have its own unique sensitivities which increase in the coastal seas. We conclude that forecastable predictors of rogue wave occurrence will need to be location specific and reflective of their generation mechanism. Therefore, given location and a sufficiently long historical record of sea state characteristics, the likelihood of occurrence can be obtained for mariners and offshore operators.
2169-9275
Cattrell, A.D.
4ebe234a-a274-4eb3-a41b-68e2a3dee34f
Srokosz, M.
f1701d3e-01b3-43d0-8993-9fd523032a79
Moat, B.I.
497dbb18-a98f-466b-b459-aa2c872ad2dc
Marsh, R.
702c2e7e-ac19-4019-abd9-a8614ab27717
Cattrell, A.D.
4ebe234a-a274-4eb3-a41b-68e2a3dee34f
Srokosz, M.
f1701d3e-01b3-43d0-8993-9fd523032a79
Moat, B.I.
497dbb18-a98f-466b-b459-aa2c872ad2dc
Marsh, R.
702c2e7e-ac19-4019-abd9-a8614ab27717

Cattrell, A.D., Srokosz, M., Moat, B.I. and Marsh, R. (2018) Can rogue waves be predicted using characteristic wave parameters? Journal of Geophysical Research: Oceans. (doi:10.1029/2018JC013958).

Record type: Article

Abstract

Rogue waves are ocean surface waves larger than the surrounding sea that can pose a danger to ships and offshore structures. They are often deemed unpredictable without complex measurement of the wave field and computationally intensive calculation which is infeasible in most applications, consequently there a need for fast predictors.

Here we collate, quality control, and analyse the largest dataset of single‐point field measurements from surface following wave buoys to search for predictors of rogue wave occurrence. We find that analysis of the sea state parameters in bulk yields no predictors, as the subset of seas containing rogue waves sits within the set of seas without. However, spectral bandwidth parameters of rogue seas display different probability distributions to normal seas, but these parameters are rarely provided in wave forecasts. When location is accounted for, trends can be identified in the occurrence of rogue waves as a function of the average seas state characteristics at that location. These trends follow a power law relationship with the characteristic sea state parameters: mean significant wave height and mean zero up‐crossing wave period. We find that frequency of occurrence of rogue waves and their generating mechanism is not spatially uniform, and each location is likely to have its own unique sensitivities which increase in the coastal seas. We conclude that forecastable predictors of rogue wave occurrence will need to be location specific and reflective of their generation mechanism. Therefore, given location and a sufficiently long historical record of sea state characteristics, the likelihood of occurrence can be obtained for mariners and offshore operators.

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Paper2018JC013958_acceptall_final - Accepted Manuscript
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More information

Accepted/In Press date: 20 July 2018
e-pub ahead of print date: 30 July 2018
Additional Information: Accepted for publication in Journal of Geophysical Research. Copyright 2018 American Geophysical Union. Further reproduction or electronic distribution is not permitted

Identifiers

Local EPrints ID: 422951
URI: http://eprints.soton.ac.uk/id/eprint/422951
ISSN: 2169-9275
PURE UUID: 201c9181-5315-45f5-aa21-acdb7de4e656

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Date deposited: 08 Aug 2018 16:30
Last modified: 07 Oct 2020 06:09

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