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Uncertainties in extreme wave height estimates for hurricane-dominated regions

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Uncertainties in extreme wave height estimates for hurricane-dominated regions. / Jonathan, P.; Ewans, K.
In: Journal of Offshore Mechanics and Arctic Engineering, Vol. 129, No. 4, 2007, p. 300-305.

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

Harvard

Jonathan, P & Ewans, K 2007, 'Uncertainties in extreme wave height estimates for hurricane-dominated regions', Journal of Offshore Mechanics and Arctic Engineering, vol. 129, no. 4, pp. 300-305. https://doi.org/10.1115/1.2746401

APA

Jonathan, P., & Ewans, K. (2007). Uncertainties in extreme wave height estimates for hurricane-dominated regions. Journal of Offshore Mechanics and Arctic Engineering, 129(4), 300-305. https://doi.org/10.1115/1.2746401

Vancouver

Jonathan P, Ewans K. Uncertainties in extreme wave height estimates for hurricane-dominated regions. Journal of Offshore Mechanics and Arctic Engineering. 2007;129(4):300-305. doi: 10.1115/1.2746401

Author

Jonathan, P. ; Ewans, K. / Uncertainties in extreme wave height estimates for hurricane-dominated regions. In: Journal of Offshore Mechanics and Arctic Engineering. 2007 ; Vol. 129, No. 4. pp. 300-305.

Bibtex

@article{90c54052cd87459ead922653be43d707,
title = "Uncertainties in extreme wave height estimates for hurricane-dominated regions",
abstract = "Inherent uncertainties in estimation of extreme wave heights in hurricane-dominated regions are explored using data from the GOMOS Gulf of Mexico hindcast for 1900-2005. In particular the effect of combining correlated values from a neighborhood of 72 grid locations on extreme wave height estimation is quantified. We show that, based on small data samples, extreme wave heights are underestimated and site averaging usually improves estimates. We present a bootstrapping approach to evaluate uncertainty in extreme wave height estimates. We also argue in favor of modeling supplementary indicators for extreme wave characteristics, such as a high percentile (95%) of the distribution a 100-year significant wave height, in addition to its most probable value, especially for environments where the distribution of 100-year significant wave height is strongly skewed. Copyright {\textcopyright} 2007 by ASME.",
keywords = "Hurricanes, Probability distributions, Uncertainty analysis, Wave height, Water waves, bootstrapping, estimation method, hurricane, uncertainty analysis, wave height, wave modeling, Atlantic Ocean, Gulf of Mexico",
author = "P. Jonathan and K. Ewans",
year = "2007",
doi = "10.1115/1.2746401",
language = "English",
volume = "129",
pages = "300--305",
journal = "Journal of Offshore Mechanics and Arctic Engineering",
issn = "0892-7219",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "4",

}

RIS

TY - JOUR

T1 - Uncertainties in extreme wave height estimates for hurricane-dominated regions

AU - Jonathan, P.

AU - Ewans, K.

PY - 2007

Y1 - 2007

N2 - Inherent uncertainties in estimation of extreme wave heights in hurricane-dominated regions are explored using data from the GOMOS Gulf of Mexico hindcast for 1900-2005. In particular the effect of combining correlated values from a neighborhood of 72 grid locations on extreme wave height estimation is quantified. We show that, based on small data samples, extreme wave heights are underestimated and site averaging usually improves estimates. We present a bootstrapping approach to evaluate uncertainty in extreme wave height estimates. We also argue in favor of modeling supplementary indicators for extreme wave characteristics, such as a high percentile (95%) of the distribution a 100-year significant wave height, in addition to its most probable value, especially for environments where the distribution of 100-year significant wave height is strongly skewed. Copyright © 2007 by ASME.

AB - Inherent uncertainties in estimation of extreme wave heights in hurricane-dominated regions are explored using data from the GOMOS Gulf of Mexico hindcast for 1900-2005. In particular the effect of combining correlated values from a neighborhood of 72 grid locations on extreme wave height estimation is quantified. We show that, based on small data samples, extreme wave heights are underestimated and site averaging usually improves estimates. We present a bootstrapping approach to evaluate uncertainty in extreme wave height estimates. We also argue in favor of modeling supplementary indicators for extreme wave characteristics, such as a high percentile (95%) of the distribution a 100-year significant wave height, in addition to its most probable value, especially for environments where the distribution of 100-year significant wave height is strongly skewed. Copyright © 2007 by ASME.

KW - Hurricanes

KW - Probability distributions

KW - Uncertainty analysis

KW - Wave height

KW - Water waves

KW - bootstrapping

KW - estimation method

KW - hurricane

KW - uncertainty analysis

KW - wave height

KW - wave modeling

KW - Atlantic Ocean

KW - Gulf of Mexico

U2 - 10.1115/1.2746401

DO - 10.1115/1.2746401

M3 - Journal article

VL - 129

SP - 300

EP - 305

JO - Journal of Offshore Mechanics and Arctic Engineering

JF - Journal of Offshore Mechanics and Arctic Engineering

SN - 0892-7219

IS - 4

ER -