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@ARTICLE{Hannes:188335,
      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        = {{H}igh-resolution estimation of the water balance
                      components from high-precision lysimeters},
      journal      = {Hydrology and earth system sciences discussions},
      volume       = {12},
      number       = {1},
      issn         = {1812-2116},
      address      = {Katlenburg-Lindau},
      publisher    = {Soc.},
      reportid     = {FZJ-2015-01743},
      pages        = {569 - 608},
      year         = {2015},
      abstract     = {Lysimeters offer the opportunity to determine
                      precipitation, evapotranspiration and groundwater-recharge
                      with high accuracy. In contrast to other techniques, like
                      Eddy-flux systems or evaporation pans, lysimeters provide a
                      direct measurement of evapotranspiration from a clearly
                      defined surface area at the scale of a soil profile via the
                      built-in weighing system. In particular the estimation of
                      precipitation can benefit from the much higher surface area
                      compared to typical raingauge systems. Nevertheless,
                      lysimeters are exposed to several external influences that
                      could falsify the calculated fluxes. Therefore, the
                      estimation of the relevant fluxes requires an appropriate
                      data processing with respect to various error sources. Most
                      lysimeter studies account for noise in the data by
                      averaging. However, the effects of smoothing by averaging on
                      the accuracy of the estimated water balance is rarely
                      investigated. In this study, we present a filtering scheme,
                      which is designed to deal with the various kinds of possible
                      errors. We analyze the influence of averaging times and
                      thresholds on the calculated water balance. We further
                      investigate the ability of two adaptive filtering methods
                      (the Adaptive Window and Adaptive Threshold filter
                      (AWAT-filter) (Peters et al., 2014) and the consecutively
                      described synchro-filter) in further reducing the filtering
                      error. On the basis of the data sets of 18 simultanously
                      running lysimeters of the TERENO SoilCan research site in
                      Bad Lauchstädt, we show that the estimation of the water
                      balance with high temporal resolution and good accuracy is
                      possible.},
      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},
      doi          = {10.5194/hessd-12-569-2015},
      url          = {https://juser.fz-juelich.de/record/188335},
}