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eofs: A Library for EOF Analysis of Meteorological, Oceanographic, and Climate Data Cover

eofs: A Library for EOF Analysis of Meteorological, Oceanographic, and Climate Data

By: Andrew Dawson  
Open Access
|Apr 2016

Figures & Tables

Table 1

The method calls available to all solver objects.

Method nameDescription
pcsThe (optionally scaled) principal component time series (PCs).
eofsThe (optionally scaled) empirical orthogonal functions (EOFs).
eofsAsCorrelationThe EOFs expressed as the correlation between each PC and the input data set at each grid point.
eofsAsCovarianceThe EOFs expressed as the covariance between each PC and the input data set at each grid point.
eigenvaluesThe eigenvalues (decreasing variances) associated with each EOF mode.
varianceFractionThe fraction of the total variance explained by each EOF mode.
totalAnomalyVarianceThe total variance (sum of the eigenvalues).
northTestThe typical error associated with each eigenvalue using North’s rule of thumb [16].
reconstructedFieldReconstructs the input data set using a specified number of EOFs.
projectFieldProjects an arbitrary field onto the EOFs to produce a set of pseudo-PCs.
getWeightsThe array of weights used for the analysis.
DOI: https://doi.org/10.5334/jors.122 | Journal eISSN: 2049-9647
Language: English
Published on: Apr 26, 2016
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2016 Andrew Dawson, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.