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    A Spectral Response Surface Method for Calculating Crest Elevation Statistics 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2004:;volume( 126 ):;issue: 001:;page 51
    Author(s): Peter S. Tromans; Luc Vanderschuren
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The statistics of wave crest elevation in a random, directionally spread sea are calculated using a novel approach. The nonlinearity of steep waves is modelled to second order using Sharma and ...
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    The Second Order Statistics of High Waves in Wind Sea and Swell 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2011:;volume( 133 ):;issue: 003:;page 31104
    Author(s): Peter Tromans; Luc Vanderschuren; Kevin Ewans
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The statistics of extreme wave crest elevation and wave height have been calculated for realistic, directionally spread sea and swell using a probabilistic method tested and described previously. ...
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    Discussion and Closure: Effect of Sampling Variability on Hindcast and Measured Wave Heights 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;1998:;Volume ( 124 ):;issue: 004
    Author(s): Yoshimi Goda; George Z. Forristall; John C. Heideman; Ian M. Leggett; Bram Roskam; Luc Vanderschuren
    Publisher: American Society of Civil Engineers
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    Effect of Sampling Variability on Hindcast and Measured Wave Heights 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;1996:;Volume ( 122 ):;issue: 005
    Author(s): George Z. Forristall; John C. Heideman; Ian M. Leggett; Bram Roskam; Luc Vanderschuren
    Publisher: American Society of Civil Engineers
    Abstract: Estimates of significant wave heights made from finite record lengths have a small but important statistical sampling variability. This variability leads to positive biases in the maximum significant wave height in a storm ...
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