Impact of Spin-up Forcing on Vegetation States Simulated by a Dynamic Global Vegetation Model Coupled with a Land Surface Model |
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| Authors: | LI Fang ZENG Xiaodong SONG Xiang TIAN Dongxiao SHAO Pu and ZHANG Dongling |
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| Institution: | 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 |
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| 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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| Keywords: | vegetation initial condition spin-up forcing Dynamic Global Vegetation Model Land Surface Model |
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