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

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.

Country

France

Related Organizations

Keywords

[SDE] Environmental Sciences, environment/Bioclimatology, u* filtering, imputation, Eddy covariance, [SDV.EE.BIO] Life Sciences [q-bio]/Ecology, environment/Bioclimatology, ICOS, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, spike detection, [SDE]Environmental Sciences, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, environment/Ecosystems, FR-Hes, gap-filling

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