Arid
Effects of Dynamic Vegetation on Global Climate Simulation Using the NCEP GFS and SSiB4/TRIFFID
Zhang Zhengqiu; Xue Yongkang; Zhai Panmao; Deng Huiping
来源期刊Journal of Meteorological Research
ISSN2095-6037
出版年2021
卷号35期号:6页码:1041-1056
英文摘要Two global experiments were carried out to investigate the effects of dynamic vegetation processes on numerical climate simulations from 1948 to 2008.The NCEP Global Forecast System (GFS) was coupled with a biophysical model,the Simplified Simple Biosphere Model (SSiB) version 2 (GFS/SSiB2),and it was also coupled with a biophysical and dynamic vegetation model,SSiB version 4/Top-down Representation of Interactive Foliage and Flora Including Dynamics (TRIFFID) (GFS/SSiB4/TRIFFID).The effects of dynamic vegetation processes on the simulation of precipitation,near-surface temperature,and the surface energy budget were identified on monthly and annual scales by assessing the GFS/SSiB4/TRIFFID and GFS/SSiB2 results against the satellite-derived leaf area index (LAI) and albedo and the observed land surface temperature and precipitation.The results show that compared with the GFS/SSiB2 model,the temporal correlation coefficients between the globally averaged monthly simulated LAI and the Global Inventory Monitoring and Modeling System (GIMMS)/Global Land Surface Satellite (GLASS) LAI in the GFS/SSiB4/TRIFFID simulation increased from 0.31/0.29 (SSiB2) to 0.47/0.46 (SSiB4).The correlation coefficients between the simulated and observed monthly mean near-surface air temperature increased from 0.50 (Africa),0.35 (Southeast Asia),and 0.39 (South America) to 0.56,0.41,and 0.44,respectively.The correlation coefficients between the simulated and observed monthly mean precipitation increased from 0.19 (Africa),0.22 (South Asia),and 0.22 (East Asia) to 0.25,0.27,and 0.28,respectively.The greatest improvement occurred over arid and semiarid areas.The spatiotemporal variability and changes in vegetation and ground surface albedo modeled by the GFS with a dynamic vegetation model were more consistent with the observations.The dynamic vegetation processes contributed to the surface energy and water balance and in turn,improved the annual variations in the simulated regional temperature and precipitation.The dynamic vegetation processes had the greatest influence on the spatiotemporal changes in the latent heat flux.This study shows that dynamic vegetation processes in earth system models significantly improve simulations of the climate mean status.
英文关键词NCEP Global Forecast System (GFS) Simplified Simple Biosphere Model version 4/Top-down Representation of Interactive Foliage and Flora Including Dynamics (SSiB4/TRIFFID) global climate simulation effects of dynamic vegetation
类型Article
语种英语
收录类别CSCD
WOS类目Meteorology & Atmospheric Sciences
CSCD记录号CSCD:7117112
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/377450
作者单位Zhang Zhengqiu, Chinese Academy of Meteorological Sciences,China Meteorological Administration, Beijing 100081, China.; Zhai Panmao, Chinese Academy of Meteorological Sciences,China Meteorological Administration, Beijing 100081, China.; Xue Yongkang, University of California, Los Angeles, CA 90095, USA.; Deng Huiping, Liaocheng University, Liaocheng, Shandong 252059, China.
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Zhang Zhengqiu,Xue Yongkang,Zhai Panmao,et al. Effects of Dynamic Vegetation on Global Climate Simulation Using the NCEP GFS and SSiB4/TRIFFID[J],2021,35(6):1041-1056.
APA Zhang Zhengqiu,Xue Yongkang,Zhai Panmao,&Deng Huiping.(2021).Effects of Dynamic Vegetation on Global Climate Simulation Using the NCEP GFS and SSiB4/TRIFFID.Journal of Meteorological Research,35(6),1041-1056.
MLA Zhang Zhengqiu,et al."Effects of Dynamic Vegetation on Global Climate Simulation Using the NCEP GFS and SSiB4/TRIFFID".Journal of Meteorological Research 35.6(2021):1041-1056.
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