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Journal of Meteorological Research

, Volume 33, Issue 2, pp 251–263 | Cite as

Coupling the Common Land Model to ECHAM5 Atmospheric General Circulation Model

  • Yufei Xin
  • Yongjiu DaiEmail author
  • Jian Li
  • Xinyao Rong
  • Guo Zhang
Special Collection on CAMS-CSM
  • 6 Downloads

Abstract

The ECHAM5 model is coupled with the widely used Common Land Model (CoLM). ECHAM5 is a state-of-the-art atmospheric general circulation model incorporated into the integrated weather and climate model of the Chinese Academy of Meteorological Sciences (CAMS-CSM). Land surface schemes in ECHAM5 are simple and do not provide an adequate representation of the vegetation canopy and snow/frozen soil processes. Two AMIP (Atmospheric Model Intercomparison Project)-type experiments using ECHAM5 and ECHAM5-CoLM are run over 30 yr and the results are compared with reanalysis and observational data. It is found that the pattern of land surface temperature simulated by ECHAM5-CoLM is significantly improved relative to ECHAM5. Specifically, the cold bias over Eurasia is removed and the root-mean-square error is reduced in most regions. The seasonal variation in the zonal mean land surface temperature and the in situ soil temperature at 20- and 80-cm depths are both better simulated by ECHAM5-CoLM. ECHAM5-CoLM produces a more reasonable spatial pattern in the soil moisture content, whereas ECHAM5 predicts much drier soils. The seasonal cycle of soil moisture content from ECHAM5-CoLM is a better match to the observational data in six specific regions. ECHAM5-CoLM reproduces the observed spatial patterns of both sensible and latent heat fluxes. The strong positive bias in precipitation over land is reduced in ECHAM5-CoLM, especially over the southern Tibetan Plateau and middle-lower reaches of the Yangtze River during the summer monsoon rainy season.

Key words

atmospheric general circulation models ECHAM5 Common Land Model land-atmosphere coupling 

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Copyright information

© The Chinese Meteorological Society and Springer-Verlag Berlin Heidelberg 2019

Authors and Affiliations

  • Yufei Xin
    • 1
  • Yongjiu Dai
    • 2
    Email author
  • Jian Li
    • 1
  • Xinyao Rong
    • 1
  • Guo Zhang
    • 1
  1. 1.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijingChina
  2. 2.School of Atmospheric SciencesSun Yat-Sen UniversityGuangdongChina

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