Articles | Volume 16, issue 6
https://doi.org/10.5194/bg-16-1111-2019
© Author(s) 2019. 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-16-1111-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2019
Research article |
| 19 Mar 2019
| 19 Mar 2019
Source partitioning of H2O and CO2 fluxes based on high-frequency eddy covariance data: a comparison between study sites
Anne Klosterhalfen
CORRESPONDING AUTHOR
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
Alexander Graf
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
Nicolas Brüggemann
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
Clemens Drüe
Department of Environmental Meteorology, University of Trier, 54296
Trier, Germany
Odilia Esser
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
María P. González-Dugo
IFAPA – Consejería de Agricultura, Pesca y Desarrollo Rural,
Centro Alameda del Obispo, 14080 Córdoba, Spain
Günther Heinemann
Department of Environmental Meteorology, University of Trier, 54296
Trier, Germany
Cor M. J. Jacobs
Wageningen Environmental Research, Wageningen University and Research,
6708 PB Wageningen, the Netherlands
Matthias Mauder
Institute of Meteorology and Climate Research, IMK-IFU, Karlsruhe
Institute of Technology (KIT), 82467 Garmisch-Partenkirchen, Germany
Arnold F. Moene
Meteorology and Air Quality Group, Wageningen University and Research,
6708 PB Wageningen, the Netherlands
Patrizia Ney
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
Thomas Pütz
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
Corinna Rebmann
Department Computational Hydrosystems, Helmholtz Centre for
Environmental Research (UFZ), 04318 Leipzig, Germany
Mario Ramos Rodríguez
IFAPA – Consejería de Agricultura, Pesca y Desarrollo Rural,
Centro Alameda del Obispo, 14080 Córdoba, Spain
Todd M. Scanlon
Department of Environmental Sciences, University of Virginia,
Charlottesville, VA 22904, USA
Marius Schmidt
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
Rainer Steinbrecher
Institute of Meteorology and Climate Research, IMK-IFU, Karlsruhe
Institute of Technology (KIT), 82467 Garmisch-Partenkirchen, Germany
Christoph K. Thomas
Micrometeorology Group, University of Bayreuth, 95447 Bayreuth,
Germany
Veronika Valler
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
Matthias J. Zeeman
Institute of Meteorology and Climate Research, IMK-IFU, Karlsruhe
Institute of Technology (KIT), 82467 Garmisch-Partenkirchen, Germany
Harry Vereecken
Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH,
52425 Jülich, Germany
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Short summary
To obtain magnitudes of flux components of H2O and CO2 (e.g., transpiration, soil respiration), we applied source partitioning approaches after Scanlon and Kustas (2010) and after Thomas et al. (2008) to high-frequency eddy covariance measurements of 12 study sites covering various ecosystems (croplands, grasslands, and forests) in different climatic regions. We analyzed the interrelations among turbulence, site characteristics, and the performance of both partitioning methods.
To obtain magnitudes of flux components of H2O and CO2 (e.g., transpiration, soil respiration),...
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