Record Display for the EPA National Library Catalog

RECORD NUMBER: 9 OF 1744

OLS Field Name OLS Field Data
Main Title A Guide to Empirical Orthogonal Functions for Climate Data Analysis [electronic resource] /
Type EBOOK
Author Navarra, Antonio.
Other Authors
Author Title of a Work
Simoncini, Valeria.
Publisher Springer Netherlands,
Year Published 2010
ISBN 9789048137022
Subjects Geography. ; Mathematical geography. ; Meteorology. ; Computer science. ; Climatic changes.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-90-481-3702-2
Collation VI, 151 p. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
Elements of Linear Algebra -- Basic Statistical Concepts -- Empirical Orthogonal Functions -- Generalizations: Rotated, Complex, Extended and Combined EOF -- Cross-Covariance and the Singular Value Decomposition -- The Canonical Correlation Analysis -- Multiple Linear Regression Methods. 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.