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@ARTICLE{Hannes:203255,
      author       = {Hannes, M. and Wollschläger, U. and Schrader, F. and
                      Durner, W. and Gebler, S. and Pütz, Thomas and Fank, J. and
                      von Unold, G. and Vogel, H.-J.},
      title        = {{A} comprehensive filtering scheme for high-resolution
                      estimation of the water balance components from
                      high-precision lysimeters},
      journal      = {Hydrology and earth system sciences},
      volume       = {19},
      number       = {8},
      issn         = {1607-7938},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {FZJ-2015-05236},
      pages        = {3405 - 3418},
      year         = {2015},
      abstract     = {Large weighing lysimeters are currently the most precise
                      method to directly measure all components of the terrestrial
                      water balance in parallel via the built-in weighing system.
                      As lysimeters are exposed to several external forces such as
                      management practices or wind influencing the weighing data,
                      the calculated fluxes of precipitation and
                      evapotranspiration can be altered considerably without
                      having applied appropriate corrections to the raw data.
                      Therefore, adequate filtering schemes for obtaining most
                      accurate estimates of the water balance components are
                      required. In this study, we use data from the TERENO
                      (TERrestrial ENvironmental Observatories) SoilCan research
                      site in Bad Lauchstädt to develop a comprehensive filtering
                      procedure for high-precision lysimeter data, which is
                      designed to deal with various kinds of possible errors
                      starting from the elimination of large disturbances in the
                      raw data resulting e.g., from management practices all the
                      way to the reduction of noise caused e.g., by moderate wind.
                      Furthermore, we analyze the influence of averaging times and
                      thresholds required by some of the filtering steps on the
                      calculated water balance and investigate the ability of two
                      adaptive filtering methods (the adaptive window and adaptive
                      threshold filter (AWAT filter; Peters et al., 2014), and a
                      new synchro filter applicable to the data from a set of
                      several lysimeters) to further reduce the filtering error.
                      Finally, we take advantage of the data sets of all 18
                      lysimeters running in parallel at the Bad Lauchstädt site
                      to evaluate the performance and accuracy of the proposed
                      filtering scheme. For the tested time interval of 2 months,
                      we show that the estimation of the water balance with high
                      temporal resolution and good accuracy is possible. The
                      filtering code can be downloaded from the journal website as
                      Supplement to this publication.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000360653600005},
      doi          = {10.5194/hess-19-3405-2015},
      url          = {https://juser.fz-juelich.de/record/203255},
}