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/6954772

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 uses the pyjams library whereever possible and removed the old modules that were moved and enhanced in pyjams.

More information

• DOI: 10.5281/zenodo.6954772
• 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: August 02, 2022

Rights

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

Format

electronic resource

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