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@ARTICLE{Brunetti:859784,
      author       = {Brunetti, Giuseppe and Simunek, Jiri and Bogena, Heye and
                      Baatz, Roland and Huisman, Johan Alexander and Dahlke, Helen
                      and Vereecken, Harry},
      title        = {{O}n the {I}nformation {C}ontent of {C}osmic-{R}ay
                      {N}eutron {D}ata in the {I}nverse {E}stimation of {S}oil
                      {H}ydraulic {P}roperties},
      journal      = {Vadose zone journal},
      volume       = {1},
      issn         = {1539-1663},
      address      = {Alexandria, Va.},
      publisher    = {GeoScienceWorld},
      reportid     = {FZJ-2019-00615},
      pages        = {1-24},
      year         = {2019},
      abstract     = {Observations of soil moisture content from remote sensing
                      platforms can beused in conjunction with hydrological models
                      to inversely estimate soil hydraulicproperties (SHPs). In
                      recent years, cosmic-ray neutron sensing (CRNS) has provento
                      be a reliable method for the estimation of area-average soil
                      moisture at fieldscales. However, its use in the inverse
                      estimation of the effective SHPs is largelyunexplored. Thus,
                      the main objective of this study was to assess the
                      informationcontent of aboveground fast-neutron counts to
                      estimate SHPs using botha synthetic modeling study and
                      actual experimental data from the Rollesbroichcatchment in
                      Germany. For this, the forward neutron operator COSMIC was
                      externallycoupled with the hydrological model HYDRUS-1D. The
                      coupled model wascombined with the Affine Invariant Ensemble
                      Sampler to calculate the posteriordistributions of effective
                      soil hydraulic parameters as well as the
                      model-predictiveuncertainty for different synthetic and
                      experimental scenarios. Measured watercontents at different
                      depths were used to assess estimated SHPs. The analysis
                      ofboth synthetic and actual CRNS data from homogenous and
                      heterogeneous soilprofiles, respectively, led to confident
                      estimations of the shape parameters a andn, while higher
                      uncertainty was observed for the saturated hydraulic
                      conductivity.Furthermore, results demonstrated that neutron
                      data are less influenced bylocal sources of uncertainty
                      compared with near-surface point measurements.The
                      simultaneous use of CRNS and water content data further
                      reduced the overalluncertainty, opening up new perspectives
                      for the combination of CRNS withother remote sensing
                      techniques for the inverse estimation of the effective
                      SHPs.},
      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:000457481000001},
      doi          = {10.2136/vzj2018.06.0123},
      url          = {https://juser.fz-juelich.de/record/859784},
}