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@comment{{This file has been generated by bib2bib 1.95}}
@comment{{Command line: /usr/bin/bib2bib --quiet -c 'not journal:"Discussions"' -c 'not journal:"Polymer Science"' -c '  author:"Laval"  ' -c year=1998 -c $type="ARTICLE" -oc lmd_Laval1998.txt -ob lmd_Laval1998.bib /home/WWW/LMD/public/}}
  author = {{Ducharne}, A. and {Laval}, K. and {Polcher}, J.},
  title = {{Sensitivity of the hydrological cycle to the parametrization of soil hydrology in a GCM}},
  journal = {Climate Dynamics},
  year = 1998,
  volume = 14,
  pages = {307-327},
  abstract = {{The sensitivity of the hydrological cycle to soil hydrology is
investigated with the LMD GCM. The reference simulation includes the
land-surface scheme SECHIBA, with a two-reservoir scheme for soil water
storage and runoff at saturation. We studied a non-linear drainage
parametrization, and a distributed surface runoff parametrization,
accounting for the subgrid scale variability (SSV) of soil moisture
capacity, through a distribution where the shape parameter was b. GCM
results show that the drainage parametrization induces significant
reductions in soil moisture and evaporation rate compared to the
reference simulation. They are related to changes in moisture
convergence in the tropics, and to a precipitation decrease in the
extratropics. When drainage is implemented, the effect of the SSV
parametrization (b=0.2) is also to reduce soil moisture and evaporation
rates compared to the simulation with drainage only. These changes are
much smaller than the former, but the sensitivity of the hydrological
cycle to the SSV parametrization is shown to be larger in dry periods,
and to be enhanced by an increase of the shape parameter b. The
comparison of simulated total runoffs with observed data shows that the
soil hydrological parametrizations does not reduce the GCM systematic
errors in the annual water balance, but that they can improve the
representation of the total runoff's annual cycle.
  doi = {10.1007/s003820050226},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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