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Towards a more harmonized processing of eddy covariance CO2 fluxes: algorithms and uncertainty estimation
1Department of Forest Science and Environment, University of Tuscia, 01100 Viterbo, Italy
2Max-Planck Institut fur Biogeochemie, P.O. Box 100164, 07701 Jena, Germany
3Unité de Physique des Biosystèmes, Faculté Universitaire des Sciences Agronomiques de Gembloux, 5030 Gembloux, Belgium
4Department of Meteorology, Institute of Hydrology and-Meteorology, Technische Universität Dresden, 01062 Dresden, Germany
5Ecologie et Ecophysiologie Forestières, Centre de Nancy, 54280 Champenoux, France
6Dream CEFE-CNRS, 1919 route de Mende, 34293 Montpellier, France
7Department of Physical Sciences, University of Helsinki, P.O. Box 64, 00014, Finland
8Department of Environmental Sciences and Energy Research, Weizmann Institute of Science, P.O. Box 26, 76100 Rehovot, Israel
Abstract. Eddy covariance technique to measure CO2, water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more that 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. These data are usually acquired using the same method but they need a set of corrections that are often differently applied to each site and in a subjective way. In this paper a new standardized set of corrections are proposed and the uncertainties introduced by these corrections are assessed for 8 different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two components GPP (Gross Primary Production) and TER (Terrestrial Ecosystem Respiration) are also discussed and a quantitative analysis presented . The results show that a standardized data processing is needed for an effective comparison across biomes and for underpinning inter-annual variability. The methodology presented in this paper has also been integrated in the European database of the eddy covariance measurements.
Discussion Paper (PDF, 819 KB) Interactive Discussion (Closed, 5 Comments) Final Revised Paper (BG)
Citation: Papale, D., Reichstein, M., Canfora, E., Aubinet, M., Bernhofer, C., Longdoz, B., Kutsch, W., Rambal, S., Valentini, R., Vesala, T., and Yakir, D.: Towards a more harmonized processing of eddy covariance CO2 fluxes: algorithms and uncertainty estimation, Biogeosciences Discuss., 3, 961-992, 2006. Bibtex EndNote Reference Manager
