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    Grid Point Pooling in Extreme Value Analysis of Hurricane Hindcast Data 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2009:;Volume ( 135 ):;issue: 002
    Author(s): John C. Heideman; Douglas A. Mitchell
    Publisher: American Society of Civil Engineers
    Abstract: Grid point pooling is a commonly used method to account for hurricane track variability in extreme value analysis. This paper presents a simplified mathematical interpretation of grid point pooling. Through logical arguments ...
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    Joint Probability of Extreme Waves and Currents on Norwegian Shelf 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;1989:;Volume ( 115 ):;issue: 004
    Author(s): John C. Heideman; Oistein Hagen; Cortis Cooper; Finn‐Erik Dahl
    Publisher: American Society of Civil Engineers
    Abstract: Simultaneous wave and current measurements on the Norwegian Shelf were used to estimate the appropriate current to associate with extreme waves in platform design. The primary data consisted of seven years of measurements ...
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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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