Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Ocean Engineering & Oceanography (OEO, volume 2)
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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 asdesign offices, classification societies, ship owners, yards and operators, flag states and intergovernmental agencies such as the IMO.
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Keywords
Table of contents (9 chapters)
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)
Authors and Affiliations
Bibliographic Information
Book Title: Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
Authors: Erik Vanem
Series Title: Ocean Engineering & Oceanography
DOI: https://doi.org/10.1007/978-3-642-30253-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-30252-7Published: 28 October 2013
Softcover ISBN: 978-3-662-52197-7Published: 23 August 2016
eBook ISBN: 978-3-642-30253-4Published: 11 October 2013
Series ISSN: 2194-6396
Series E-ISSN: 2194-640X
Edition Number: 1
Number of Pages: XX, 262
Number of Illustrations: 71 b/w illustrations, 14 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Probability Theory and Stochastic Processes, Geophysics and Environmental Physics