A Guide to Empirical Orthogonal Functions for Climate Data Analysis

• Main Authors: Navarra, Antonio. (Author), Simoncini, Valeria. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Dordrecht : Springer Netherlands, 2010.
• Subjects: Geography.; Mathematical geography.; Meteorology.; Computer science.; Climatic changes.; Earth Sciences.; Meteorology/Climatology.; Mathematical Applications in Earth Sciences.; Computational Science and Engineering.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Climate Change.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-90-481-3702-2

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...

Table of Contents:

• 1 Introduction
• 2 Elements of Linear Algebra
• 3 Basic Statistical Concepts
• 4 Empirical Orthogonal Functions
• 5 Generalizations: Rotated, Complex, Extended and Combined EOF
• 6 Cross-covariance and the Singular Value Decomposition
• 7 The Canonical Correlation Analysis
• 8 Multiple Linear Regression Methods
• Bibliography
• Index.