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Environmental Earth Sciences

, Volume 72, Issue 10, pp 4085–4096 | Cite as

Coupling of a biogeochemical model with a simultaneous heat and water model and its evaluation at an alpine meadow site

  • Xufeng WangEmail author
  • Mingguo Ma
  • Yi Song
  • Junlei Tan
  • Haibo Wang
Original Article

Abstract

Alpine meadow covers most of the Qinghai-Tibet Plateau where frozen soil is widely distributed. In order to correctly simulate the carbon, water and energy flux of an alpine meadow site at Qinghai-Tibet Plateau, a widely used carbon cycle model Biome-BGC and a cold region land surface model SHAW were coupled. The outputs of the coupled model were validated with the observed carbon fluxes (Gross Primary Productivity, Net Ecosystem Exchange, Ecosystem Respiration), energy fluxes (Latent heat flux, Sensible heat flux), water flux (Evapotranspiration), soil moisture and soil temperature at A’rou site which is located on the east edge of Qinghai-Tibet Plateau. The results indicate that the coupled model can correctly predict the interactions between alpine meadow ecosystem and atmosphere.

Keywords

Biome-BGC, SHAW, Eddy covariance Alpine meadow Qinghai-Tibet Plateau 

Notes

Acknowledgments

This work was supported by the Chinese State Key Basic Research Project (grant number: 2009CB421305), the Knowledge Innovation Program of the Chinese Academy of Sciences (grant number: KZCX2-EW-312), and the National Natural Science Foundation of China (No. 40871190, 40875006, 91025022 & 41001241). Biome-BGC version 4.1.2 was provided by Peter Thornton at the National Center for Atmospheric Research (NCAR), and by the Numerical Terradynamic Simulation Group (NTSG) at the University of Montana. NCAR is sponsored by the National Science Foundation. We also thank anonymous reviewers and editors for helpful comments on earlier versions of this manuscript.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Xufeng Wang
    • 1
    Email author
  • Mingguo Ma
    • 1
  • Yi Song
    • 2
  • Junlei Tan
    • 1
  • Haibo Wang
    • 1
  1. 1.Cold and Arid Regions Remote Sensing Observation System Experiment Station, Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of SciencesLanzhouChina
  2. 2.Institute of Earth EnvironmentChinese Academy of SciencesXi’anChina

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