Articles | Volume 15, issue 16
https://doi.org/10.5194/bg-15-5015-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-5015-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Basic and extensible post-processing of eddy covariance flux data with REddyProc
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10,
07745 Jena, Germany
Antje Lucas-Moffat
German Meteorological Service, Centre for
Agrometeorological Research, Bundesallee 33, 38116 Braunschweig, Germany
Thuenen Institute of Climate-Smart Agriculture, Bundesallee 65, 38116
Braunschweig, Germany
Mirco Migliavacca
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10,
07745 Jena, Germany
Jürgen Knauer
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10,
07745 Jena, Germany
Kerstin Sickel
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10,
07745 Jena, Germany
Ladislav Šigut
Global Change Research Institute CAS, Bělidla 986/4a, 60300
Brno, Czech Republic
Olaf Menzer
Department of Geography, University of California, Santa
Barbara, CA 93106-4060, USA
Markus Reichstein
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10,
07745 Jena, Germany
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Discussed (final revised paper)
Latest update: 14 Dec 2024
Short summary
Net fluxes of carbon dioxide at the ecosystem level measured by eddy covariance are a main source for understanding biosphere–atmosphere interactions. However, there is a need for more usable and extensible tools for post-processing steps of the half-hourly flux data. Therefore, we developed the REddyProc package, providing data filtering, gap filling, and flux partitioning. The extensible functions are compatible with state-of-the-art tools but allow easier integration in extended analysis.
Net fluxes of carbon dioxide at the ecosystem level measured by eddy covariance are a main...
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