A Guide to Empirical Orthogonal Functions for Climate Data Analysis

A Guide to Empirical Orthogonal Functions for Climate Data Analysis by Antonio Navarra, Valeria Simoncini.

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...

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Bibliographic Details
Main Authors: Navarra, Antonio. (Author, http://id.loc.gov/vocabulary/relators/aut), Simoncini, Valeria. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Springer eBook Collection.
Subjects:
Atmospheric sciences.
Climate change.
Probabilities.
Climatology.
Computer mathematics.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

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