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@INPROCEEDINGS{Klosterhalfen:808763,
      author       = {Klosterhalfen, Anne and Graf, Alexander and Schmidt, Marius
                      and Ney, Patrizia and Vereecken, Harry},
      title        = {{S}ource {P}artitioning {B}ased on {H}igh {F}requency
                      {E}ddy {C}ovariance {D}ata},
      reportid     = {FZJ-2016-02381},
      year         = {2016},
      abstract     = {Source partitioning of eddy covariance measurements is
                      routinely used for a better understanding of the exchange of
                      greenhouse gases, especially between terrestrial ecosystems
                      and the atmosphere. Quantifications of CO2 and H2O fluxes,
                      their dynamics, variabilities and feedbacks with
                      environmental drivers give a better insight of the
                      biosphere’s sensitivity towards global change.The
                      BMBF-funded project “Instrumental and Data-driven
                      Approaches to Source-Partitioning of Greenhouse Gas Fluxes:
                      Comparison, Combination, Advancement” (IDAS-GHG) aims at
                      comparing and improving existing methods for partitioning of
                      CO2 and H2O fluxes into their respective raw components.
                      Data-driven approaches use existing (raw or processed) data
                      of typical eddy covariance stations. Instrumental approaches
                      of source partitioning require additional measurements at
                      different parts of ecosystems and different methods, e.g.
                      soil-flux chamber measurements, profile measurements or
                      tracer measurements (isotopes).This present study is part of
                      the data-driven approaches, using some results from
                      additional profile measurements to gain further insights.
                      SCANLON and SAHU (2008), and SCANLON and KUSTAS (2010)
                      proposed an interesting method to estimate the contributions
                      of photosynthesis, soil respiration (autotrophic and
                      heterotrophic sources), transpiration and evaporation using
                      measured high-frequency time series of CO2 and H2O fluxes -
                      no extra instrumentation necessary. This method (SK10 in the
                      following) is based on the dissimilarities of sources and
                      sinks of CO2 and water vapor among the sub-canopy, canopy
                      and atmosphere, which lead to unique “signals” in the
                      eddy covariance measurements for air transported from
                      differing locations. Thus, the flux-variance similarity
                      theory is separately applied to the stomatal and
                      non-stomatal components of the regarded fluxes.In this study
                      we apply the SK10 analysis to observations of several
                      agroecosystems, and compare the results to outcomes of other
                      well-known source partitioning methods as well as to chamber
                      and profile measurements. For example, state variables
                      measured in the canopy air are used to test the profile
                      assumption required by SK10 analysis.Scanlon, T.M., Kustas,
                      W.P., 2010. Partitioning carbon dioxide and water vapor
                      fluxes using correlation analysis. Agricultural and Forest
                      Meteorology 150 (1), 89-99.Scanlon, T.M., Sahu, P., 2008. On
                      the correlation structure of water vapor and carbon dioxide
                      in the atmospheric surface layer: A basis for flux
                      partitioning. Water Resources Research 44 (10), W10418, 15
                      pp.},
      month         = {Jun},
      date          = {2016-06-20},
      organization  = {32nd Conference on Agricultural and
                       Forest Meteorology, American
                       Meteorology Society, Salt Lake City
                       (USA), 20 Jun 2016 - 24 Jun 2016},
      subtyp        = {Other},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / IDAS-GHG - Instrumental and Data-driven
                      Approaches to Source-Partitioning of Greenhouse Gas Fluxes:
                      Comparison, Combination, Advancement (BMBF-01LN1313A)},
      pid          = {G:(DE-HGF)POF3-255 / G:(DE-Juel1)BMBF-01LN1313A},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/808763},
}