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 eBook
• Language: English
• Published: Dordrecht : Springer Netherlands, 2010.
• Subjects: Earth sciences.; Climatology.; Atmospheric sciences.; Computer mathematics.; Probabilities.; Statistics.; Climate change.; Earth Sciences.; Atmospheric Sciences.; Climate Change.; Probability Theory and Stochastic Processes.; Computational Science and Engineering.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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:

• 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.