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@ARTICLE{Weihermller:891376,
      author       = {Weihermüller, Lutz and Lehmann, Peter and Herbst, Michael
                      and Rahmati, Mehdi and Verhoef, Anne and Or, Dani and
                      Jacques, Diederick and Vereecken, Harry},
      title        = {{C}hoice of {P}edotransfer {F}unctions {M}atters when
                      {S}imulating {S}oil {W}ater {B}alance {F}luxes},
      journal      = {Journal of advances in modeling earth systems},
      volume       = {13},
      number       = {3},
      issn         = {1942-2466},
      address      = {Fort Collins, Colo.},
      reportid     = {FZJ-2021-01465},
      pages        = {e2020MS002404},
      year         = {2021},
      abstract     = {Modeling of the land surface water‐, energy‐, and
                      carbon balance provides insight into the behavior of the
                      Earth System, under current and future conditions.
                      Currently, there exists a substantial variability between
                      model outputs, for a range of model types, whereby
                      differences between model input parameters could be an
                      important reason. For large‐scale land surface,
                      hydrological, and crop models, soil hydraulic properties
                      (SHP) are required as inputs, which are estimated from
                      pedotransfer functions (PTFs). To analyze the functional
                      sensitivity of widely used PTFs, the water fluxes for
                      different scenarios using HYDRUS‐1D were simulated and
                      predictions compared. The results showed that using
                      different PTFs causes substantial variability in predicted
                      fluxes. In addition, an in‐depth analysis of the soil SHPs
                      and derived soil characteristics was performed to analyze
                      why the SHPs estimated from the different PTFs cause the
                      model to behave differently.The results obtained provide
                      guidelines for the selection of PTFs in large scale models.
                      The model performance in terms of numerical stability,
                      time‐integrated behavior of cumulative fluxes, as well as
                      instantaneous fluxes was evaluated, in order to compare the
                      suitability of the PTFs. Based on this, the Rosetta,
                      Wösten, and Tóth PTF seem to be the most robust PTFs for
                      the Mualem van Genuchten SHPs and the PTF of Cosby for the
                      Brooks Corey functions. Based on our findings, we strongly
                      recommend to harmonize the PTFs used in model
                      inter‐comparison studies to avoid artifacts originating
                      from the choice of PTF rather from different model
                      structures.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {217 - Für eine nachhaltige Bio-Ökonomie – von
                      Ressourcen zu Produkten (POF4-217)},
      pid          = {G:(DE-HGF)POF4-217},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000635263700006},
      doi          = {10.1029/2020MS002404},
      url          = {https://juser.fz-juelich.de/record/891376},
}