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Coupling of the land surface model CAS-LSM with the climate system model CAS-FGOALS-g3
  • +12
  • Zhenghui Xie,
  • Binghao Jia,
  • Peihua Qin,
  • Bin Liu,
  • Longhuan Wang,
  • Yan Wang,
  • Ruichao Li,
  • Si Chen,
  • Shuang Liu,
  • Yujin Zeng,
  • Junqiang Gao,
  • Lijuan Li,
  • Yongqiang Yu,
  • Dong Li,
  • Zhipeng Xie
Zhenghui Xie
Institute of Atmospheric Physics

Corresponding Author:[email protected]

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Binghao Jia
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Peihua Qin
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Bin Liu
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Longhuan Wang
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Yan Wang
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Ruichao Li
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Si Chen
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Shuang Liu
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Yujin Zeng
Institute of Atmospheric Physics
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Junqiang Gao
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Lijuan Li
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Yongqiang Yu
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Dong Li
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Zhipeng Xie
Institute of Tibetan Plateau Research, Chinese Academy of Sciences
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Abstract

The land surface model of the Chinese Academy of Sciences (CAS-LSM), which includes lateral flow, water use, nitrogen discharge and river transport, soil freeze thaw front dynamics, and urban planning, was implemented into the Flexible Global Ocean-Atmosphere-Land System model grid-point version 3 (CAS-FGOALS-g3). Simulations were conducted using the land–atmosphere component setup of CAS-FGOALS-g3. The simulations showed reasonable distributions of the land surface variables when compared against observations (including reanalysis, merged data, remote sensing, etc). In terms of the new capabilities, it was shown that considering the groundwater lateral flow caused a deepening of the water table depth of around 25–50 mm in North India, central USA, and Sahel. Including the anthropogenic groundwater use also led to increased latent heat fluxes of about 20 W∙m-2 in the aforementioned three areas. Inclusion of the soil freeze thaw front (FTF) dynamics enabled seasonal-variation simulations of the freeze and thaw processes, and the FTF-derived permafrost extent was comparable to that seen in the observations. The simulations conducted using the riverine nitrogen transport and human activity schemes showed that major rivers around the globe, including western Europe, eastern China, and the Midwest of the USA experienced annual dissolved inorganic nitrogen (DIN) rates of 25–50 Gg∙N∙yr-1, which were accompanied by surface water regulation DIN losses of around 28 mg∙N∙m-2∙yr-1 and DIN retention of 200–500 mg∙N∙m-2∙yr-1. The results suggest that the model is a useful tool for studying the effects of land-surface processes on the global climate, especially those influenced by human interventions.
Jan 2021Published in Journal of Advances in Modeling Earth Systems volume 13 issue 1. 10.1029/2020MS002171