Advances in Atmospheric Sciences

, Volume 24, Issue 5, pp 750–764

Implementation of a surface runoff model with Horton and Dunne mechanisms into the regional climate model RegCM_NCC

  • Shi Xueli  (史学丽)
  • Xie Zhenghui  (谢正辉)
  • Liu Yiming  (刘一鸣)
  • Yang Hongwei  (杨宏伟)
Article

DOI: 10.1007/s00376-007-0750-1

Cite this article as:
Shi, X., Xie, Z., Liu, Y. et al. Adv. Atmos. Sci. (2007) 24: 750. doi:10.1007/s00376-007-0750-1
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Abstract

A surface runoff parameterization scheme that dynamically represents both Horton and Dunne runoff generation mechanisms within a model grid cell together with a consideration of the subgrid-scale soil heterogeneity, is implemented into the National Climate Center regional climate model (RegCM_NCC). The effects of the modified surface runoff scheme on RegCM_NCC performance are tested with an abnormal heavy rainfall process which occurred in summer 1998. Simulated results show that the model with the original surface runoff scheme (noted as CTL) basically captures the spatial pattern of precipitation, circulation and land surface variables, but generally overestimates rainfall compared to observations. The model with the new surface runoff scheme (noted as NRM) reasonably reproduces the distribution pattern of various variables and effectively diminishes the excessive precipitation in the CTL. The processes involved in the improvement of NRM-simulated rainfall may be as follows: with the new surface runoff scheme, simulated surface runoff is larger, soil moisture and evaporation (latent heat flux) are decreased, the available water into the atmosphere is decreased; correspondingly, the atmosphere is drier and rainfall is decreased through various processes. Therefore, the implementation of the new runoff scheme into the RegCM_NCC has a significant effect on results at not only the land surface, but also the overlying atmosphere.

Key words

surface runoff regional climate model precipitation water vapor 

Copyright information

© Science Press 2007

Authors and Affiliations

  • Shi Xueli  (史学丽)
    • 1
  • Xie Zhenghui  (谢正辉)
    • 2
  • Liu Yiming  (刘一鸣)
    • 1
  • Yang Hongwei  (杨宏伟)
    • 2
  1. 1.Laboratory for Climate Studies, National Climate CenterChina Meteorological AdministrationBeijingChina
  2. 2.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

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