Biogeosciences, 5, 433-450, 2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
26 Mar 2008
Quality control of CarboEurope flux data – Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems
M. Göckede1,*, T. Foken1, M. Aubinet2, M. Aurela3, J. Banza4, C. Bernhofer5, J. M. Bonnefond6, Y. Brunet6, A. Carrara7, R. Clement8, E. Dellwik9, J. Elbers10, W. Eugster11, J. Fuhrer12, A. Granier13, T. Grünwald5, B. Heinesch2, I. A. Janssens14, A. Knohl15,16, R. Koeble17, T. Laurila3, B. Longdoz13, G. Manca17, M. Marek18, T. Markkanen1,19, J. Mateus20, G. Matteucci21, M. Mauder1,**, M. Migliavacca22, S. Minerbi23, J. Moncrieff8, L. Montagnani23, E. Moors10, J.-M. Ourcival24, D. Papale25, J. Pereira26, K. Pilegaard9, G. Pita20, S. Rambal24, C. Rebmann15, A. Rodrigues27, E. Rotenberg28, M. J. Sanz7, P. Sedlak29, G. Seufert17, L. Siebicke1, J. F. Soussana30, R. Valentini25, T. Vesala19, H. Verbeeck14,***, and D. Yakir28 1University of Bayreuth, Dept. of Micrometeorology, Bayreuth, Germany
2University of Agricultural Sciences, Unit of Biosystems Physic, Gembloux, Belgium
3Finnish Meteorological Institute, Helsinki, Finland
4University of Evora, Evora, Portugal
5Technische Universität Dresden, Inst. of Hydrology and Meteorology, Dept. of Meteorology, Tharandt, Germany
6INRA, EPHYSE, Bordeaux, France
7Foundation CEAM, Valencia, Spain
8University of Edinburgh, School of GeoSciences, Edinburgh, UK
9Technical University of Denmark, Risø National Laboratory, Roskilde, Denmark
10Alterra, Wageningen, The Netherlands
11ETH Zurich, Institute of Plant Sciences, Zurich, Switzerland
12Agroscope Research Station ART, Air Pollution/Climate Group, Zurich, Switzerland
13INRA, Centre INRA Nancy, UMR1137 Ecologie et Ecophysiologie Forestières, Champenoux, France
14University of Antwerpen, Dept. of Biology, Research Group of Plant and Vegetation Ecology, Wilrijk, Belgium
15Max Planck Institute for Biogeochemistry, Jena, Germany
16ETH Zurich, Institute of Plant Sciences, Zurich, Switzerland
17JRC, Inst. for Environment and Sustainability, Ispra, Italy
18Institute of Systems Biology and Ecology AS CR, České Budějovice, Czech Republic
19University of Helsinki, Dept. of Physical Sciences, Helsinki, Finland
20Instituto Superior Tecnico, Lisbon, Portugal
21CNR-ISAFOM, Institute for Mediterranean Agricultural and Forest Systems, Rende, Italy
22Remote Sensing of Environmental Dynamics Lab., DISAT-UNIMIB, Milan, Italy
23Forest Department, Agency for the Environment, Autonomous Province of Bolzano-South Tyrol, Italy
24INRA, DREAM CEFE-CNRS, Montpellier, France
25University of Tuscia, Dept. of Forest Environment and Resources, Viterbo, Italy
26Instituto Superior de Agronomia, Lisbon, Portugal
27Estação Florestal Nacional, Oeiras, Portugal
28Weizman Institute of Science, Dept. of Environmental Sciences and Energy Research, Rehovol, Israel
29Institute of Atmospheric Physics AS CR, Praha, Czech Republic
30INRA, Institut National de la Recherche Agronomique, Paris, France
*now at: Oregon State University, Dept. of Forest Science, Corvallis, USA
**now at: Agriculture and Agri-Food Canada, Research Branch, Ottawa, Canada
***now at: Laboratory of Climate Sciences and the Environment (LSCE), Joint Unit of CEA-CNRS, Gif-sur-Yvette, France
Abstract. We applied a site evaluation approach combining Lagrangian Stochastic footprint modeling with a quality assessment approach for eddy-covariance data to 25 forested sites of the CarboEurope-IP network. The analysis addresses the spatial representativeness of the flux measurements, instrumental effects on data quality, spatial patterns in the data quality, and the performance of the coordinate rotation method. Our findings demonstrate that application of a footprint filter could strengthen the CarboEurope-IP flux database, since only one third of the sites is situated in truly homogeneous terrain. Almost half of the sites experience a significant reduction in eddy-covariance data quality under certain conditions, though these effects are mostly constricted to a small portion of the dataset. Reductions in data quality of the sensible heat flux are mostly induced by characteristics of the surrounding terrain, while the latent heat flux is subject to instrumentation-related problems. The Planar-Fit coordinate rotation proved to be a reliable tool for the majority of the sites using only a single set of rotation angles. Overall, we found a high average data quality for the CarboEurope-IP network, with good representativeness of the measurement data for the specified target land cover types.

Citation: Göckede, M., Foken, T., Aubinet, M., Aurela, M., Banza, J., Bernhofer, C., Bonnefond, J. M., Brunet, Y., Carrara, A., Clement, R., Dellwik, E., Elbers, J., Eugster, W., Fuhrer, J., Granier, A., Grünwald, T., Heinesch, B., Janssens, I. A., Knohl, A., Koeble, R., Laurila, T., Longdoz, B., Manca, G., Marek, M., Markkanen, T., Mateus, J., Matteucci, G., Mauder, M., Migliavacca, M., Minerbi, S., Moncrieff, J., Montagnani, L., Moors, E., Ourcival, J.-M., Papale, D., Pereira, J., Pilegaard, K., Pita, G., Rambal, S., Rebmann, C., Rodrigues, A., Rotenberg, E., Sanz, M. J., Sedlak, P., Seufert, G., Siebicke, L., Soussana, J. F., Valentini, R., Vesala, T., Verbeeck, H., and Yakir, D.: Quality control of CarboEurope flux data – Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems, Biogeosciences, 5, 433-450,, 2008.
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