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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

Journal of Open Research Software

Volume 4 (2016): Issue 1

By: Andrew Dawson

Open Access

|Apr 2016

Abstract

The eofs library provides a high-level Python interface for computing empirical orthogonal functions (EOFs) and related quantities, with a focus on correctness and ease of use. The library is implemented in a modular hierarchical fashion, allowing computations using plain arrays, or the inclusion of metadata. The software provides a convenient package for users wanting to perform EOF analysis in Python, and integrates with popular libraries from atmospheric and climate science. The software is available on Github.

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DOI: https://doi.org/10.5334/jors.122 | Journal eISSN: 2049-9647

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Language: English

Published on: Apr 26, 2016

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

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

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