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Collection of EOF analysis and related techniques for climate science

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GitHub tag (latest SemVer) GitHub Workflow Status (event) Documentation Status https://codecov.io/gh/nicrie/xeofs/branch/main/graph/badge.svg?token=8040ZDH6U7

xeofs: EOF analysis and variants

Empirical orthogonal function (EOF) analysis, commonly referred to as principal component analysis (PCA), is a popular decomposition technique in climate science. Over the years, a variety of variants have emerged but the lack of availability of these different methods in the form of easy-to-use software seems to unnecessarily hinder the acceptance and uptake of these EOF variants by the broad climate science community.

Goal (work in progress)

Create a Python package that provides simple access to a variety of different EOF-related techniques through the popular interfaces of NumPy, pandas and xarray.

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Documentation is work in progress.

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