A Guide to Empirical Orthogonal Functions for Climate Data Analysis
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...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
2010, 2010
|
| Edition: | 1st ed. 2010 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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