Authors:
- Availability of source codes for the pictures
- Step-by-step introduction to the methods and implementation
- Practical application of methods as encountered in real problems
- Mathematical base largely self-included
- Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables.
A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations and MATLAB codes for the algorithms. All pictures and examples used in the book may be reproduced by using the data sets and the routines available in the book .
Though the main thrust of the book is for climatological examples, the treatment is sufficiently general that the discussion is also useful for students and practitioners in other fields.
Supplementary datasets are available via http://extra.springer.com
Authors and Affiliations
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Vulcanologia, Ist. Nazionale di Geofisica e, Bologna, Italy
Antonio Navarra
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Dipto. Matematica, Università di Bologna, Bologna, Italy
Valeria Simoncini
Bibliographic Information
Book Title: A Guide to Empirical Orthogonal Functions for Climate Data Analysis
Authors: Antonio Navarra, Valeria Simoncini
DOI: https://doi.org/10.1007/978-90-481-3702-2
Publisher: Springer Dordrecht
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2010
Hardcover ISBN: 978-90-481-3701-5Published: 26 February 2010
Softcover ISBN: 978-94-007-9160-2Published: 23 November 2014
eBook ISBN: 978-90-481-3702-2Published: 05 April 2010
Edition Number: 1
Number of Pages: VI, 151
Topics: Atmospheric Sciences, Climate Change, Probability Theory and Stochastic Processes, Climatology, Computational Science and Engineering, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences