Climate Dynamics

, Volume 14, Issue 5, pp 307–327

Sensitivity of the hydrological cycle to the parametrization of soil hydrology in a GCM

  • A. Ducharne
  • K. Laval
  • J. Polcher

DOI: 10.1007/s003820050226

Cite this article as:
Ducharne, A., Laval, K. & Polcher, J. Climate Dynamics (1998) 14: 307. doi:10.1007/s003820050226

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.

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • A. Ducharne
    • 1
  • K. Laval
    • 1
  • J. Polcher
    • 1
  1. 1.Laboratoire de Météorologie Dynamique du CNRS, Université Pierre et Marie Curie - BP 99 4, place Jussieu, 75252 Paris cedex 05, France E-mail: laval@lmd.jussieu.frFR

Personalised recommendations