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hesseflux: a Python library to process and post-process Eddy covariance data

Matthias Cuntz

hesseflux collects functions used for processing Eddy covariance data of the ICOS ecosystem site FR-Hes.

The post-processing functionality for Eddy flux data is similar to the R-package REddyProc and includes basically the steps described in Papale et al. (Biogeosciences, 2006) plus some extensions such as the daytime method of flux partitioning (Lasslop et al., Global Change Biology 2010).

Full documentation is available at https://mcuntz.github.io/hesseflux/

v2.0 was the initial public release.

This released moved to a new pip structure using pyproject.toml instead of setup.py.

It also uses Github's Continuous Integration instead of Travis-CI.

The documentation moved from ReadTheDocs to Github Pages.

All documentation uses reStructured text instead of Markdown now.

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