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

Type Software Matthias Cuntz (2020): hesseflux: a Python library to process and post-process Eddy covariance data. Zenodo. Software. https://zenodo.org/record/3831489

Author: Matthias Cuntz ;

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 package uses several functions of the JAMS Python package. The JAMS package and hesseflux are synchronised irregularly.

hesseflux includes a Python port of Logtools, the Logger Tools Software of Olaf Kolle, MPI-BGC Jena, (c) 2012.

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 from Read The Docs: http://hesseflux.readthedocs.org/en/latest/  

The current version v2.0 is the initial public release.

More information

• DOI: 10.5281/zenodo.3831489
• Language: en

Subjects

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

Dates

• Publication date: 2020
• Issued: May 17, 2020

Rights

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

Format

electronic resource

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