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...
Springer Netherlands : Imprint: Springer,
|Edition:||1st ed. 2010.|
|Series:||Springer eBook Collection.
|Online Access:||Click to view e-book|
|Holy Cross Note:||Loaded electronically.|
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- 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.