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 of 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.
Skip Nav Destination
kevin.ewans@shell.com
Article navigation
November 2007
Technical Papers
Uncertainties in Extreme Wave Height Estimates for Hurricane-Dominated Regions
Philip Jonathan,
philip.jonathan@shell.com
Philip Jonathan
Shell Research Limited
, P.O. Box 1, Chester, United Kingdom
Search for other works by this author on:
Kevin Ewans
kevin.ewans@shell.com
Kevin Ewans
Shell International Exploration and Production
, P.O. Box 60, 2280 AB Rijswijk, The Netherlands
Search for other works by this author on:
Philip Jonathan
Kevin Ewans
Shell International Exploration and Production
, P.O. Box 60, 2280 AB Rijswijk, The Netherlandskevin.ewans@shell.com
J. Offshore Mech. Arct. Eng. Nov 2007, 129(4): 300-305 (6 pages)
Published Online: January 30, 2007
Article history
Received:
September 1, 2006
Revised:
January 30, 2007
Citation
Jonathan, P., and Ewans, K. (January 30, 2007). "Uncertainties in Extreme Wave Height Estimates for Hurricane-Dominated Regions." ASME. J. Offshore Mech. Arct. Eng. November 2007; 129(4): 300–305. https://doi.org/10.1115/1.2746401
Download citation file:
Get Email Alerts
Cited By
Analytical study on the pullout resistance of suction caisson in clay
J. Offshore Mech. Arct. Eng
New tools to generate realistic ice floe fields for computational models
J. Offshore Mech. Arct. Eng
Strouhal Number for Vortex-Induced Vibration Excitation of Long Slender Structures
J. Offshore Mech. Arct. Eng (August 2022)
Heave Motion Induced Vortex-Induced Vibrations of a Full-Scale Steel Lazy Wave Riser
J. Offshore Mech. Arct. Eng (August 2022)
Related Articles
A Spatiodirectional Model for Extreme Waves in the Gulf of Mexico
J. Offshore Mech. Arct. Eng (February,2011)
Modeling the Seasonality of Extreme Waves in the Gulf of Mexico
J. Offshore Mech. Arct. Eng (May,2011)
The Effect of Directionality on Northern North Sea Extreme Wave Design Criteria
J. Offshore Mech. Arct. Eng (November,2008)
The Reconstruction of Significant Wave Height Time Series by Using a Neural Network Approach
J. Offshore Mech. Arct. Eng (August,2004)
Related Proceedings Papers
Related Chapters
Parallel Random Access Memory Implementation on an FPGA
International Conference on Computer Research and Development, 5th (ICCRD 2013)
Research of Typhoon Rainstorm Amount Estimation Based—On Elman Neural Network
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
A Coupling Model for Storm Surges, Waves and Currents
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3