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@ARTICLE{Peters:829923,
      author       = {Peters, Andre and Groh, Jannis and Schrader, Frederik and
                      Durner, Wolfgang and Vereecken, Harry and Pütz, Thomas},
      title        = {{T}owards an unbiased filter routine to determine
                      precipitation and evapotranspiration from high precision
                      lysimeter measurements},
      journal      = {Journal of hydrology},
      volume       = {549},
      issn         = {0022-1694},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2017-03529},
      pages        = {731 - 740},
      year         = {2017},
      abstract     = {Weighing lysimeters are considered to be the best means for
                      a precise measurement of water fluxes at the interface
                      between the soil-plant system and the atmosphere. Any
                      decrease of the net mass of the lysimeter can be interpreted
                      as evapotranspiration (ET), any increase as precipitation
                      (P). However, the measured raw data need to be filtered to
                      separate real mass changes from noise. Such filter routines
                      typically apply two steps: (i) a low pass filter, like
                      moving average, which smooths noisy data, and (ii) a
                      threshold filter that separates significant from
                      insignificant mass changes. Recent developments of these
                      filters have identified and solved some problems regarding
                      bias in the data processing. A remaining problem is that
                      each change in flow direction is accompanied with a
                      systematic flow underestimation due to the threshold scheme.
                      In this contribution, we analyze this systematic effect and
                      show that the absolute underestimation is independent of the
                      magnitude of a flux event. Thus, for small events, like dew
                      or rime formation, the relative error is high and can reach
                      the same magnitude as the flux itself. We develop a
                      heuristic solution to the problem by introducing a so-called
                      “snap routine”. The routine is calibrated and tested
                      with synthetic flux data and applied to real measurements
                      obtained with a precision lysimeter for a 10-month period.
                      The heuristic snap routine effectively overcomes these
                      problems and yields an almost unbiased representation of the
                      real signal.},
      cin          = {IBG-3},
      ddc          = {690},
      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:000403855500056},
      doi          = {10.1016/j.jhydrol.2017.04.015},
      url          = {https://juser.fz-juelich.de/record/829923},
}