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Introduction and Background

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Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height

Part of the book series: Ocean Engineering & Oceanography ((OEO,volume 2))

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Abstract

This chapter gives an introduction to the problem area and motivates the research into stochastic models of ocean waves. The importance of knowledge about the environmental operating conditions for ships and other marine structures is emphasized. Furthermore, it is argued that climate change may have an effect on future ocean wave climate and that this needs to be taken into account already in the design process. Integrated sea state parameters such as significant wave height are briefly introduced as a sensible way of describing sea states and various sources of wave are discussed.

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Notes

  1. 1.

    website: http://www.ipcc.ch/

  2. 2.

    The words very likely are defined to mean with a 90 % probability of being true.

  3. 3.

    parts per million.

  4. 4.

    About 20 % chance of being correct.

  5. 5.

    Often attributed to the physicist Niels Boer, but the actual origin of this quote is unknown.

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Authors and Affiliations

  1. Mathematics Department, University of Oslo, Moltke Moes vei 35, 0316, Oslo, Norway

    Erik Vanem

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  1. Erik Vanem
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Correspondence to Erik Vanem .

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Vanem, E. (2013). Introduction and Background. In: Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height. Ocean Engineering & Oceanography, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30253-4_1

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