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@ARTICLE{Montzka:837562,
      author       = {Montzka, Carsten and Herbst, Michael and Weihermüller,
                      Lutz and Verhoef, Anne and Vereecken, Harry},
      title        = {{A} global data set of soil hydraulic properties and
                      sub-grid variability of soil water retention and
                      hydraulic conductivity curves},
      journal      = {Earth system science data},
      volume       = {9},
      number       = {2},
      issn         = {1866-3516},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernics Publications},
      reportid     = {FZJ-2017-06450},
      pages        = {529 - 543},
      year         = {2017},
      abstract     = {Agroecosystem models, regional and global climate models,
                      and numerical weather prediction models require adequate
                      parameterization of soil hydraulic properties. These
                      properties are fundamental for describing and predicting
                      water and energy exchange processes at the transition zone
                      between solid earth and atmosphere, and regulate
                      evapotranspiration, infiltration and runoff generation.
                      Hydraulic parameters describing the soil water retention
                      (WRC) and hydraulic conductivity (HCC) curves are typically
                      derived from soil texture via pedotransfer functions (PTFs).
                      Resampling of those parameters for specific model grids is
                      typically performed by different aggregation approaches such
                      a spatial averaging and the use of dominant textural
                      properties or soil classes. These aggregation approaches
                      introduce uncertainty, bias and parameter inconsistencies
                      throughout spatial scales due to nonlinear relationships
                      between hydraulic parameters and soil texture. Therefore, we
                      present a method to scale hydraulic parameters to individual
                      model grids and provide a global data set that overcomes the
                      mentioned problems. The approach is based on Miller–Miller
                      scaling in the relaxed form by Warrick, that fits the
                      parameters of the WRC through all sub-grid WRCs to provide
                      an effective parameterization for the grid cell at model
                      resolution; at the same time it preserves the information of
                      sub-grid variability of the water retention curve by
                      deriving local scaling parameters. Based on the Mualem–van
                      Genuchten approach we also derive the unsaturated hydraulic
                      conductivity from the water retention functions, thereby
                      assuming that the local parameters are also valid for this
                      function. In addition, via the Warrick scaling parameter λ,
                      information on global sub-grid scaling variance is given
                      that enables modellers to improve dynamical downscaling of
                      (regional) climate models or to perturb hydraulic parameters
                      for model ensemble output generation. The present analysis
                      is based on the ROSETTA PTF of Schaap et al. (2001) applied
                      to the SoilGrids1km data set of Hengl et al. (2014). The
                      example data set is provided at a global resolution of
                      0.25° at https://doi.org/10.1594/PANGAEA.870605.},
      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:000406381600001},
      doi          = {10.5194/essd-9-529-2017},
      url          = {https://juser.fz-juelich.de/record/837562},
}