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Volume 28 Issue 4

Jul.  2011

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2011 >  28(4): 775-788

Impact of Spin-up Forcing on Vegetation States Simulated by a Dynamic Global Vegetation Model Coupled with a Land Surface Model

  • 1.

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, Graduate University of Chinese Academy of Sciences, Beijing 100049,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, Graduate University of Chinese Academy of Sciences, Beijing 100049,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Graduate University of Chinese Academy of Sciences, Beijing 100049,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029


doi: 10.1007/s00376-010-0009-0

  • A dynamic global vegetation model (DGVM) coupled with a land surface model (LSM) is generally initialized using a spin-up process to derive a physically-consistent initial condition. Spin-up forcing, which is the atmospheric forcing used to drive the coupled model to equilibrium solutions in the spin-up process, varies across earlier studies. In the present study, the impact of the spin-up forcing in the initialization stage on the fractional coverages (FCs) of plant functional type (PFT) in the subsequent simulation stage are assessed in seven classic climate regions by a modified Community Land Model's Dynamic Global Vegetation Model (CLM-DGVM). Results show that the impact of spin-up forcing is considerable in all regions except the tropical rainforest climate region (TR) and the wet temperate climate region (WM). In the tropical monsoon climate region (TM), the TR and TM transition region (TR-TM), the dry temperate climate region (DM), the highland climate region (H), and the boreal forest climate region (BF), where FCs are affected by climate non-negligibly, the discrepancies in initial FCs, which represent long-term cumulative response of vegetation to different climate anomalies, are large. Moreover, the large discrepancies in initial FCs usually decay slowly because there are trees or shrubs in the five regions. The intrinsic growth timescales of FCs for tree PFTs and shrub PFTs are long, and the variation of FCs of tree PFTs or shrub PFTs can affect that of grass PFTs.
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    [2] SONG Xiang and ZENG Xiaodong*, , 2014: Investigation of Uncertainties of Establishment Schemes in Dynamic Global Vegetation Models, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 85-94.  doi: 10.1007/s00376-013-3031-1
    [3] ZENG Xiaodong, 2010: Evaluating the Dependence of Vegetation on Climate in an Improved Dynamic Global Vegetation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 977-991.  doi: 10.1007/s00376-009-9186-0
    [4] Xuan LI, Jie FENG, Ruiqiang DING, Jianping LI, 2021: Application of Backward Nonlinear Local Lyapunov Exponent Method to Assessing the Relative Impacts of Initial Condition and Model Errors on Local Backward Predictability, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1486-1496.  doi: 10.1007/s00376-021-0434-2
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    [8] Zeng Xinmin, Zhao Ming, Su Bingkai, Wang Hanjie, 1999: Study on a Boundary-layer Numerical Model with Inclusion of Heterogeneous Multi-layer Vegetation, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 431-442.  doi: 10.1007/s00376-999-0021-4
    [9] LIANG Miaoling, XIE Zhenghui, 2008: Improving the Vegetation Dynamic Simulation in a Land Surface Model by Using a Statistical-dynamic Canopy Interception Scheme, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 610-618.  doi: 10.1007/s00376-008-0610-7
    [10] Shutao CHEN, Jianwen ZOU, Zhenghua HU, Yanyu LU, 2019: Climate and Vegetation Drivers of Terrestrial Carbon Fluxes: A Global Data Synthesis, ADVANCES IN ATMOSPHERIC SCIENCES, , 679-696.  doi: 10.1007/s00376-019-8194-y
    [11] Dongze XU, Yanluan LIN, 2021: Impacts of Irrigation and Vegetation Growth on Summer Rainfall in the Taklimakan Desert, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1863-1872.  doi: 10.1007/s00376-021-1042-x
    [12] XIE Zhenghui, SU Fengge, LIANG Xu, ZENG Qingcun, HAO Zhenchun, GUO Yufu, 2003: Applications of a Surface Runoff Model with Horton and Dunne Runoff for VIC, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 165-172.  doi: 10.1007/s00376-003-0001-z
    [13] Jianguo LIU, Zong-Liang YANG, Binghao JIA, Longhuan WANG, Ping WANG, Zhenghui XIE, Chunxiang SHI, 2023: Elucidating Dominant Factors Affecting Land Surface Hydrological Simulations of the Community Land Model over China, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 235-250.  doi: 10.1007/s00376-022-2091-5
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    • Manuscript History

    Manuscript received: 10 July 2011
    Manuscript revised: 10 July 2011
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Impact of Spin-up Forcing on Vegetation States Simulated by a Dynamic Global Vegetation Model Coupled with a Land Surface Model

    • 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, Graduate University of Chinese Academy of Sciences, Beijing 100049,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, Graduate University of Chinese Academy of Sciences, Beijing 100049,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Graduate University of Chinese Academy of Sciences, Beijing 100049,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
    • Manuscript received: 2011-07-10
    • Manuscript revised: 2011-07-10

    Abstract: A dynamic global vegetation model (DGVM) coupled with a land surface model (LSM) is generally initialized using a spin-up process to derive a physically-consistent initial condition. Spin-up forcing, which is the atmospheric forcing used to drive the coupled model to equilibrium solutions in the spin-up process, varies across earlier studies. In the present study, the impact of the spin-up forcing in the initialization stage on the fractional coverages (FCs) of plant functional type (PFT) in the subsequent simulation stage are assessed in seven classic climate regions by a modified Community Land Model's Dynamic Global Vegetation Model (CLM-DGVM). Results show that the impact of spin-up forcing is considerable in all regions except the tropical rainforest climate region (TR) and the wet temperate climate region (WM). In the tropical monsoon climate region (TM), the TR and TM transition region (TR-TM), the dry temperate climate region (DM), the highland climate region (H), and the boreal forest climate region (BF), where FCs are affected by climate non-negligibly, the discrepancies in initial FCs, which represent long-term cumulative response of vegetation to different climate anomalies, are large. Moreover, the large discrepancies in initial FCs usually decay slowly because there are trees or shrubs in the five regions. The intrinsic growth timescales of FCs for tree PFTs and shrub PFTs are long, and the variation of FCs of tree PFTs or shrub PFTs can affect that of grass PFTs.

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