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Statistics for extreme sea-currents.

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Statistics for extreme sea-currents. / Robinson, M. E.; Tawn, J. A.
In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 46, No. 2, 1997, p. 183-205.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Robinson, ME & Tawn, JA 1997, 'Statistics for extreme sea-currents.', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 46, no. 2, pp. 183-205. https://doi.org/10.1111/1467-9876.00059

APA

Robinson, M. E., & Tawn, J. A. (1997). Statistics for extreme sea-currents. Journal of the Royal Statistical Society: Series C (Applied Statistics), 46(2), 183-205. https://doi.org/10.1111/1467-9876.00059

Vancouver

Robinson ME, Tawn JA. Statistics for extreme sea-currents. Journal of the Royal Statistical Society: Series C (Applied Statistics). 1997;46(2):183-205. doi: 10.1111/1467-9876.00059

Author

Robinson, M. E. ; Tawn, J. A. / Statistics for extreme sea-currents. In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 1997 ; Vol. 46, No. 2. pp. 183-205.

Bibtex

@article{f818e8d5cf5f4ce0921fbbad6ba4083d,
title = "Statistics for extreme sea-currents.",
abstract = "Estimates of various characteristics of extreme sea currents, such as speeds and their directions, are required when designing offshore structures. This paper extends standard statistical methods for extreme values to handle the directionality, temporal dependence and tidal non-stationarity that are present in sea current extremes. The methods are applied to a short period of data from the Inner Dowsing Light Tower in the North Sea. Substantial benefits, over existing methods, are obtained from our analysis of the sea current by decomposing it into tide and surge currents. In particular, we find that at the Inner Dowsing the strong directionality in extreme sea current speeds is completely explained by the tidal current and directionality in the non-extreme surge currents. This finding aids model fitting and extrapolation.",
keywords = "Directional extremal index • Directional extremal index • Extreme value theory • Extreme value theory • Generalized extreme value distribution • Joint probabilities method • Point process • Sea currents",
author = "Robinson, {M. E.} and Tawn, {J. A.}",
year = "1997",
doi = "10.1111/1467-9876.00059",
language = "English",
volume = "46",
pages = "183--205",
journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
issn = "0035-9254",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Statistics for extreme sea-currents.

AU - Robinson, M. E.

AU - Tawn, J. A.

PY - 1997

Y1 - 1997

N2 - Estimates of various characteristics of extreme sea currents, such as speeds and their directions, are required when designing offshore structures. This paper extends standard statistical methods for extreme values to handle the directionality, temporal dependence and tidal non-stationarity that are present in sea current extremes. The methods are applied to a short period of data from the Inner Dowsing Light Tower in the North Sea. Substantial benefits, over existing methods, are obtained from our analysis of the sea current by decomposing it into tide and surge currents. In particular, we find that at the Inner Dowsing the strong directionality in extreme sea current speeds is completely explained by the tidal current and directionality in the non-extreme surge currents. This finding aids model fitting and extrapolation.

AB - Estimates of various characteristics of extreme sea currents, such as speeds and their directions, are required when designing offshore structures. This paper extends standard statistical methods for extreme values to handle the directionality, temporal dependence and tidal non-stationarity that are present in sea current extremes. The methods are applied to a short period of data from the Inner Dowsing Light Tower in the North Sea. Substantial benefits, over existing methods, are obtained from our analysis of the sea current by decomposing it into tide and surge currents. In particular, we find that at the Inner Dowsing the strong directionality in extreme sea current speeds is completely explained by the tidal current and directionality in the non-extreme surge currents. This finding aids model fitting and extrapolation.

KW - Directional extremal index • Directional extremal index • Extreme value theory • Extreme value theory • Generalized extreme value distribution • Joint probabilities method • Point process • Sea currents

U2 - 10.1111/1467-9876.00059

DO - 10.1111/1467-9876.00059

M3 - Journal article

VL - 46

SP - 183

EP - 205

JO - Journal of the Royal Statistical Society: Series C (Applied Statistics)

JF - Journal of the Royal Statistical Society: Series C (Applied Statistics)

SN - 0035-9254

IS - 2

ER -