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@ARTICLE{Sulis:864351,
      author       = {Sulis, Mauro and Couvreur, Valentin and Keune, Jessica and
                      Cai, Gaochao and Trebs, Ivonne and Junk, Juergen and
                      Shrestha, Prabhakar and Simmer, Clemens and Kollet, Stefan
                      J. and Vereecken, Harry and Vanderborght, Jan},
      title        = {{I}ncorporating a root water uptake model based on the
                      hydraulic architecture approach in terrestrial systems
                      simulations},
      journal      = {Agricultural and forest meteorology},
      volume       = {269-270},
      issn         = {0168-1923},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2019-04147},
      pages        = {28 - 45},
      year         = {2019},
      abstract     = {A detailed representation of plant hydraulic traits and
                      stomatal closure in land surface models (LSMs) is a
                      prerequisite for improved predictions of ecosystem drought
                      response. This work presents the integration of a
                      macroscopic root water uptake (RWU) model based on the
                      hydraulic architecture approach in the LSM of the
                      Terrestrial Systems Modeling Platform. The novel RWU
                      approach is based on three parameters derived from first
                      principles that describe the root system equivalent
                      conductance, the compensatory RWU conductance, and the leaf
                      water potential at stomatal closure, which defines the water
                      stress condition for the plants. The developed RWU model
                      intrinsically accounts for changes in the root density as
                      well as for the simulation of the hydraulic lift process.
                      The standard and the new RWU approach are compared by
                      performing point-scale simulations for cropland over a
                      sheltered minirhizotron facility in Selhausen, Germany, and
                      validated against transpiration fluxes estimated from sap
                      flow and soil water content measurements at different
                      depths. Numerical sensitivity experiments are carried out
                      using different soil textures and root distributions in
                      order to evaluate the interplay between soil hydrodynamics
                      and plant characteristics, and the impact of assuming
                      time-constant plant physiological properties. Results show a
                      good agreement between simulated and observed transpiration
                      fluxes for both RWU models, with a more distinct response
                      under water stress conditions and with uncertainty in the
                      soil parameterization prevailing to the differences due to
                      changes in the model formulation. The hydraulic RWU model
                      exhibits also a lower sensitivity to the root distributions
                      when simulating the onset of the water stress period.
                      Finally, an analysis of variability across the soil and root
                      scenarios indicates that differences in soil water content
                      are mainly influenced by the root distribution, while the
                      transpiration flux in both RWU models is additionally
                      determined by the soil characteristics.},
      cin          = {IBG-3 / NIC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)NIC-20090406},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / Terrestrial Systems Modeling – Validation
                      with Polarimetric Radar Retrievals and Data Assimilation
                      $(hbn33_20180501)$ / Terrestrial Systems Modeling –
                      Validation with Polarimetric Radar Retrievals and Data
                      Assimilation $(hbn33_20190501)$},
      pid          = {G:(DE-HGF)POF3-255 / $G:(DE-Juel1)hbn33_20180501$ /
                      $G:(DE-Juel1)hbn33_20190501$},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000463120900004},
      doi          = {10.1016/j.agrformet.2019.01.034},
      url          = {https://juser.fz-juelich.de/record/864351},
}