% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Minet:15987,
      author       = {Minet, J. and Laloy, E. and Lambot, S. and Vanclooster, M.},
      title        = {{E}ffect of high-resolution spatial soil moisture
                      variability on simulated runoff response using a distributed
                      hydrologic model},
      journal      = {Hydrology and earth system sciences},
      volume       = {15},
      issn         = {1027-5606},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {PreJuSER-15987},
      pages        = {1323 - 1338},
      year         = {2011},
      note         = {The research presented in this paper was funded by the
                      Belgian Science Policy Office in the frame of the Stereo II
                      programme - project SR/00/100 (HYDRASENS). We thank all the
                      people who participated to the GPR field surveys presented
                      in this paper. We are grateful to the editor and three
                      anonymous reviewers for the revision of this paper.},
      abstract     = {The importance of spatial variability of antecedent soil
                      moisture conditions on runoff response is widely
                      acknowledged in hillslope hydrology. Using a distributed
                      hydrologic model, this paper aims at investigating the
                      effects of soil moisture spatial variability on runoff in
                      various field conditions and at finding the structure of the
                      soil moisture pattern that approaches the measured soil
                      moisture pattern in terms of field scale runoff. High
                      spatial resolution soil moisture was surveyed in ten
                      different field campaigns using a proximal ground
                      penetrating radar (GPR) mounted on a mobile platform. Based
                      on these soil moisture measurements, seven scenarios of
                      spatial structures of antecedent soil moisture were used and
                      linked with a field scale distributed hydrological model to
                      simulate field scale runoff. Accounting for spatial
                      variability of soil moisture resulted in general in higher
                      predicted field scale runoff as compared to the case where
                      soil moisture was kept constant. The ranges of possible
                      hydrographs were delineated by extreme scenarios where soil
                      moisture was directly and inversely modelled according to
                      the topographic wetness index (TWI). These behaviours could
                      be explained by the sizes and locations of runoff
                      contributing areas, knowing that runoff was generated by
                      infiltration excess over a certain soil moisture threshold.
                      The most efficient scenario for modelling the within field
                      spatial structure of soil moisture appeared to be when soil
                      moisture is directly arranged according to the TWI,
                      especially when measured soil moisture and TWI were
                      correlated. The novelty of this work is to benefit from a
                      large set of high-resolution soil moisture measurements
                      allowing to model effectively the within field distribution
                      of soil moisture and its impact on the field scale
                      hydrograph. These observations contributed to the current
                      knowledge of the impact of antecedent soil moisture spatial
                      variability on field scale runoff.},
      keywords     = {J (WoSType)},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Geosciences, Multidisciplinary / Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000290016400018},
      doi          = {10.5194/hess-15-1323-2011},
      url          = {https://juser.fz-juelich.de/record/15987},
}