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

Type Software Matthias Cuntz (2022): hesseflux: a Python library to process and post-process Eddy covariance data. Zenodo. Software. https://zenodo.org/record/6946256

Author: Matthias Cuntz (Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement - INRAE, Nancy, France) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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.

More information

• DOI: 10.5281/zenodo.6946256
• ISIDENTICALTO: https://pypi.org/project/hesseflux/
• Language: en

Subjects

• Eddy covariance, spike detection, gap-filling, imputation, u* filtering, FR-Hes, ICOS

Dates

• Publication date: 2022
• Issued: July 31, 2022

Rights

• https://opensource.org/licenses/MIT MIT License
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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