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Improving the Vegetation Dynamic Simulation in a Land Surface Model by Using a Statistical-dynamic Canopy Interception Scheme
作者姓名:梁妙玲  谢正辉
作者单位:Institute of Atmospheric Physics Chinese Academy of Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029 Graduate University of Chinese Academy of Sciences,Beijing 100049,Beijing 100029
基金项目:the CAS International Partnership Creative Group,中国科学院知识创新工程项目,国家重点基础研究发展计划(973计划)
摘    要:Canopy interception of incident precipitation, as a critical component of a forest's water budget, can affect the amount of water available to the soil, and ultimately vegetation distribution and function. In this paper, a statistical-dynamic approach based on leaf area index and statistical canopy interception is used to parameterize the canopy interception process. The statistical-dynamic canopy interception scheme is implemented into the Community Land Model with dynamic global vegetation model (CLM-DGVM) to improve its dynamic vegetation simulation. The simulation for continental China by the land surface model with the new canopy interception scheme shows that the new one reasonably represents the precipitation intercepted by the canopy. Moreover, the new scheme enhances the water availability in the root zone for vegetation growth, especially in the densely vegetated and semi-arid areas, and improves the model's performance of potential vegetation simulation.

关 键 词:雨水截留  植被动力学  土壤水分  地表模型
收稿时间:21 October 2007

Improving the vegetation dynamic simulation in a land surface model by using a statistical-dynamic canopy interception scheme
Miaoling?Liang,Zhenghui?Xie.Improving the Vegetation Dynamic Simulation in a Land Surface Model by Using a Statistical-dynamic Canopy Interception Scheme[J].Advances in Atmospheric Sciences,2008,25(4):610-618.
Authors:Miaoling Liang  Zhenghui Xie
Institution:[1]Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 [2]Graduate University of Chinese Academy of Sciences, Beijing 100049
Abstract:Canopy interception of incident precipitation, as a critical component of a forest's water budget, can affect the amount of water available to the soil, and ultimately vegetation distribution and function. In this paper, a statistical-dynamic approach based on leaf area index and statistical canopy interception is used to parameterize the canopy interception process. The statistical-dynamic canopy interception scheme is implemented into the Community Land Model with dynamic global vegetation model (CLM-DGVM) to improve its dynamic vegetation simulation. The simulation for continental China by the land surface model with the new canopy interception scheme shows that the new one reasonably represents the precipitation intercepted by the canopy. Moreover, the new scheme enhances the water availability in the root zone for vegetation growth, especially in the densely vegetated and semi-arid areas, and improves the model's performance of potential vegetation simulation.
Keywords:canopy interception  vegetation dynamics  soil water  land surface model
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