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@ARTICLE{Han:820915,
      author       = {Han, Xujun and Hendricks-Franssen, Harrie-Jan and Jiménez
                      Bello, Miguel Ángel and Rosolem, Rafael and Bogena, Heye
                      and Alzamora, Fernando Martínez and Chanzy, André and
                      Vereecken, Harry},
      title        = {{S}imultaneous soil moisture and properties estimation for
                      a drip irrigated field by assimilating cosmic-ray neutron
                      intensity},
      journal      = {Journal of hydrology},
      volume       = {539},
      issn         = {0022-1694},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2016-06179},
      pages        = {611 - 624},
      year         = {2016},
      abstract     = {Neutron intensity measured by the aboveground cosmic-ray
                      neutron intensity probe (CRP) allows estimating soil
                      moisture content at the field scale. In this work, synthetic
                      neutron intensities were used to remove the bias of
                      simulated soil moisture content or update soil hydraulic
                      properties (together with soil moisture) in the Community
                      Land Model (CLM) using the Local Ensemble Transform Kalman
                      Filter. The cosmic-ray forward model COSMIC was used as the
                      non-linear measurement operator which maps between neutron
                      intensity and soil moisture. The novel aspect of this work
                      is that synthetically measured neutron intensity was used
                      for real time updating of soil states and soil properties
                      (or soil moisture bias) and posterior use for the real time
                      scheduling of irrigation (data assimilation based real-time
                      control approach). Uncertainty of model forcing and soil
                      properties (sand fraction, clay fraction and organic matter
                      density) were considered in the ensemble predictions of the
                      soil moisture profiles. Horizontal and vertical weighting of
                      soil moisture was introduced in the data assimilation in
                      order to handle the scale mismatch between the cosmic-ray
                      footprint and the CLM grid cel},
      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:000378953700047},
      doi          = {10.1016/j.jhydrol.2016.05.050},
      url          = {https://juser.fz-juelich.de/record/820915},
}