Ocean Engineering & Oceanography

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

Authors: Vanem, Erik

  • The monograph addresses modelling of ocean wave climate in space and time
  • Of interest to everyone with an interest in climate research and the effects of climate change
  • Focus on long-term temporal trends in the wave climate
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  • ISBN 978-3-642-30253-4
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About this book

This book provides an example of a thorough statistical treatment of ocean wave data in space and time. It demonstrates how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographic processes such as significant wave height in order to describe dependence structures and uncertainties in the data.

This monograph is a research book and it is partly cross-disciplinary. The methodology itself is firmly rooted in the statistical research tradition, based on probability theory and stochastic processes. However, that methodology has been applied to a problem in the field of physical oceanography, analyzing data for significant wave height, which is of crucial importance to ocean engineering disciplines. Indeed, the statistical properties of significant wave height are important for the design, construction and operation of ships and other marine and coastal structures. Furthermore, the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what that effect might be. Thus, this book is an important contribution to the ongoing debate on climate change, its implications and how to adapt to a changing climate, with a particular focus on the maritime industries and the marine environment.

This book should be of value to anyone with an interest in the statistical modelling of environmental processes, and in particular to those with an interest in the ocean wave climate. It is written on a level that should be understandable to everyone with a basic background in statistics or elementary mathematics, and an introduction to some basic concepts is provided in the appendices for the uninitiated reader. The intended readership includes students and professionals involved in statistics, oceanography, ocean engineering, environmental research, climate sciences and risk assessment. Moreover, the book’s findings are relevant for various stakeholders in the maritime industries such as design offices, classification societies, ship owners, yards and operators, flag states and intergovernmental agencies such as the IMO.

Reviews

“The core of this book is the development of a space-time model for significant wave heights. … the models are carefully constructed and executed. They should serve as a useful guide to anyone who wishes to experiment with similar techniques and I recommend this book to researchers interested in exploring time series data by Bayesian methods.” (George Z. Forristall, Journal of Ocean Engineering and Marine Energy, Vol. 1, 2015)


Table of contents (9 chapters)

  • Introduction and Background

    Vanem, Erik

    Pages 1-24

  • Literature Survey on Stochastic Wave Models

    Vanem, Erik

    Pages 25-63

  • A Bayesian Hierarchical Space-Time Model for Significant Wave Height

    Vanem, Erik

    Pages 65-105

  • Including a Log-Transform of the Data

    Vanem, Erik

    Pages 107-129

  • CO $$_2$$ Regression Component for Future Projections

    Vanem, Erik

    Pages 131-152

Buy this book

eBook n/a
  • ISBN 978-3-642-30253-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-3-642-30252-7
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-3-662-52197-7
  • Free shipping for individuals worldwide
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
Authors
Series Title
Ocean Engineering & Oceanography
Series Volume
2
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-30253-4
DOI
10.1007/978-3-642-30253-4
Hardcover ISBN
978-3-642-30252-7
Softcover ISBN
978-3-662-52197-7
Series ISSN
2194-6396
Edition Number
1
Number of Pages
XX, 262
Number of Illustrations and Tables
71 b/w illustrations, 14 illustrations in colour
Topics