The improvement of a regional climate model by coupling a land surface model with eco-physiological processes: A case study in 1998
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  • 作者:Li Dan ; Fuqiang Cao ; Rong Gao
  • 刊名:Climatic Change
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:129
  • 期:3-4
  • 页码:457-470
  • 全文大小:3,972 KB
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  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Meteorology and Climatology
  • 出版者:Springer Netherlands
  • ISSN:1573-1480
文摘
The Atmospheric-Vegetation Interaction Model (AVIM) is coupled with a Regional Integrated Environment Modeling System (RIEMS) to improve the regional simulation of climate variables. A case study in 1998 is implemented to study the improvement mechanism through land-air interaction in East Asia, especially in Asian summer monsoon regions. The coupled model reduces the warming bias in July in East China through the surface heat fluxes changes. Compared to the original model of RIEMS, the strong precipitation of eastern China in July is weakened by coupling of the interactive vegetation. The surface heat flux in uncoupled model is remarkably overestimated in these regions, and the enhanced heating from land surface, particularly with latent heat flux in July, will produce the overestimated temperature and precipitation in East China. Through coupling AVIM with RIEMS, the simulated area-averaged latent heat flux of two key regions decreases (e.g. from 132.36 to 103.13?W/m2 over the region 1 between 105-25°E and 20-0°N) in July, which makes the overestimated temperature and precipitation declined, respectively.

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