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@MISC{Montzka:836462,
      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, link to model result files in
                      {N}et{CDF} format, supplement to: {M}ontzka, {C}arsten;
                      {H}erbst, {M}ichael; {W}eihermüller, {L}utz; {V}erhoef,
                      {A}nne; {V}ereecken, {H}arry (2017): {A} global data set of
                      soil hydraulic properties and sub-grid variability of soil
                      water retention and hydraulic conductivity curves. {E}arth
                      {S}ystem {S}cience {D}ata 9(2), 529-543},
      publisher    = {PANGAEA - Data Publisher for Earth $\&$ Environmental
                      Science},
      reportid     = {FZJ-2017-05580},
      year         = {2017},
      abstract     = {Climate and numerical weather prediction models,
                      re-analyses, as well as agroecosystem models, require
                      adequate parameter values for soil hydraulic properties
                      (describing e.g. the shape of the soil water retention and
                      hydraulic conductivity curves) at the global scale.
                      Resampling of soil hydraulic properties to a model grid 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 imprecision and parameter value discrepancies
                      throughout spatial scales due to nonlinear shape of the
                      hydraulic conductivity and water retention curves.
                      Therefore, we developed a method to scale van Genuchten
                      hydraulic parameters $(theta_s,$ $theta_r,$ alpha, n, Ks) to
                      individual model grids and provide a global data set that
                      overcomes the mentioned problems. The data set is based on
                      the ROSETTA pedotransfer function of Schaap et al. (2001,
                      doi:10.1016/S0022-1694(01)00466-8) applied to the
                      SoilGrids1km data set of Hengl et al. (2014,
                      doi:10.1371/journal.pone.0105992). The approach is based on
                      Miller-Miller scaling that fits the shape parameters of the
                      water retention curve to all sub-grid water retention curves
                      to provide the best-fit parameter values for the grid cell
                      at model resolution, here 0.25°; at the same it maintains
                      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 scaling
                      parameters are also valid for this function. In addition,
                      information on global sub-grid scaling variance is given
                      that enables modelers to improve dynamical downscaling of
                      (regional) climate models or to perturb soil hydraulic
                      parameters for model ensemble generation. These improvements
                      should allow for more informed studies of the effects of
                      variability in soil physical properties on land
                      surface-atmosphere exchange.},
      cin          = {IBG-3},
      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)32},
      doi          = {10.1594/PANGAEA.870605},
      url          = {https://juser.fz-juelich.de/record/836462},
}