Software Open Access
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.6954772", "language": "eng", "title": "hesseflux: a Python library to process and post-process Eddy covariance data", "issued": { "date-parts": [ [ 2022, 8, 2 ] ] }, "abstract": "<p><strong>hesseflux</strong> collects functions used for processing Eddy covariance data of the <a href=\"https://www.icos-cp.eu/\">ICOS</a> ecosystem site <a href=\"https://www.icos-france.fr/en/static3/the-network\">FR-Hes</a>.</p>\n\n<p>The post-processing functionality for Eddy flux data is similar to the R-package <a href=\"https://cran.r-project.org/web/packages/REddyProc/index.html\">REddyProc</a> and includes basically the steps described in <a href=\"https://doi.org/10.5194/bg-3-571-2006\">Papale et al. (Biogeosciences, 2006)</a> plus some extensions such as the daytime method of flux partitioning (<a href=\"https://doi.org/10.1111/j.1365-2486.2009.02041.x\">Lasslop et al., Global Change Biology 2010</a>).</p>\n\n<p>Full documentation is available at <a href=\"https://mcuntz.github.io/hesseflux/\">https://mcuntz.github.io/hesseflux/</a></p>\n\n<p>v2.0 was the initial public release.</p>\n\n<p>This released uses the <a href=\"https://github.com/mcuntz/pyjams\">pyjams</a> library whereever possible and removed the old modules that were moved and enhanced in <a href=\"https://github.com/mcuntz/pyjams\">pyjams</a>.</p>", "author": [ { "family": "Matthias Cuntz" } ], "version": "v4.5", "type": "article", "id": "6954772" }
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