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@ARTICLE{Sabbatini:859074,
      author       = {Sabbatini, Simone and Mammarella, Ivan and Arriga, Nicola
                      and Fratini, Gerardo and Graf, Alexander and Hörtnagl,
                      Lukas and Ibrom, Andreas and Longdoz, Bernard and Mauder,
                      Matthias and Merbold, Lutz and Metzger, Stefan and
                      Montagnani, Leonardo and Pitacco, Andrea and Rebmann,
                      Corinna and Sedlák, Pavel and Šigut, Ladislav and Vitale,
                      Domenico and Papale, Dario},
      title        = {{E}ddy covariance raw data processing for {CO}2 and energy
                      fluxes calculation at {ICOS} ecosystem stations},
      journal      = {International agrophysics},
      volume       = {32},
      number       = {4},
      issn         = {2300-8725},
      address      = {Lublin},
      publisher    = {IA PAS},
      reportid     = {FZJ-2019-00025},
      pages        = {495 - 515},
      year         = {2018},
      abstract     = {The eddy covariance is a powerful technique to estimate the
                      surface-atmosphere exchange of different scalars at the
                      ecosystem scale. The EC method is central to the ecosystem
                      component of the Integrated Carbon Observation System, a
                      monitoring network for greenhouse gases across the European
                      Continent. The data processing sequence applied to the
                      collected raw data is complex, and multiple robust options
                      for the different steps are often available. For Integrated
                      Carbon Observation System and similar networks, the
                      standardisation of methods is essential to avoid
                      methodological biases and improve comparability of the
                      results. We introduce here the steps of the processing chain
                      applied to the eddy covariance data of Integrated Carbon
                      Observation System stations for the estimation of final CO2,
                      water and energy fluxes, including the calculation of their
                      uncertainties. The selected methods are discussed against
                      valid alternative options in tenns of suitability and
                      respective drawbacks and advantages. The main challenge is
                      to warrant standardised processing for all stations in spite
                      of the large differences in e.g. ecosystem traits and site
                      conditions. The main achievement of the Integrated Carbon
                      Observation System eddy covariance data processing is making
                      CO2 and energy flux results as comparable and reliable as
                      possible, given the current micrometeorological
                      understanding and the generally accepted state-of-the-art
                      processing methods.},
      cin          = {IBG-3},
      ddc          = {640},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / ICOS - Integrated Carbon Observation System
                      (211574) / IDAS-GHG - Instrumental and Data-driven
                      Approaches to Source-Partitioning of Greenhouse Gas Fluxes:
                      Comparison, Combination, Advancement (BMBF-01LN1313A) /
                      TERENO - Terrestrial Environmental Observatories
                      (TERENO-2008)},
      pid          = {G:(DE-HGF)POF3-255 / G:(EU-Grant)211574 /
                      G:(DE-Juel1)BMBF-01LN1313A / G:(DE-HGF)TERENO-2008},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000453410400004},
      doi          = {10.1515/intag-2017-0043},
      url          = {https://juser.fz-juelich.de/record/859074},
}