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    Nonlinear Wave Calculations for Engineering Applications 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2002:;volume( 124 ):;issue: 001:;page 28
    Author(s): George Z. Forristall
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Waves in the ocean are nonlinear, random, and directionally spread, but engineering calculations are almost always made using waves that are either linear and random or nonlinear and regular. ...
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    On the Use of Directional Wave Criteria 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2004:;Volume ( 130 ):;issue: 005
    Author(s): George Z. Forristall
    Publisher: American Society of Civil Engineers
    Abstract: Directional wave statistics can be used to optimize the design of offshore structures which are not symmetrical. Unfortunately there does not appear to be any consensus on how directional design criteria should be developed ...
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    Statistics of Wave Crests From Models vs. Measurements 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2004:;volume( 126 ):;issue: 001:;page 43
    Author(s): Marc Prevosto; George Z. Forristall
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The analysis phase of the Wave Crest Sensor Intercomparison Study (WACSIS) focussed on the interpretation of the wave data collected by the project during the winter of 1997–98. Many aspects ...
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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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    Wave Crest Sensor Intercomparison Study: An Overview of WACSIS 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2004:;volume( 126 ):;issue: 001:;page 26
    Author(s): George Z. Forristall; Stephen F. Barstow; Harald E. Krogstad; Marc Prevosto; Paul H. Taylor; Peter S. Tromans
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The Wave Crest Sensor Intercomparison Study (WACSIS) was designed as a thorough investigation of the statistical distribution of crest heights. Measurements were made in the southern North Sea ...
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