干旱区生态环境知识资源中心(Arid): Effects of Dynamic Vegetation on Global Climate Simulation Using the NCEP GFS and SSiB4/TRIFFID

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DOI	10.1007/s13351-021-1099-6
	Effects of Dynamic Vegetation on Global Climate Simulation Using the NCEP GFS and SSiB4/TRIFFID
	Zhang, Zhengqiu; Xue, Yongkang; Zhai, Panmao; Deng, Huiping
通讯作者	Zhai, PM (corresponding author)，Chinese Acad Meteorol Sci, China Meteorol Adm, Beijing 100081, Peoples R China.
来源期刊	JOURNAL OF METEOROLOGICAL RESEARCH
ISSN	2095-6037
EISSN	2198-0934
出版年	2021
卷号	35 期号:6
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	SCI-E
WOS记录号	WOS:000741020400011
WOS关键词	VARIABILITY ; MODEL ; ALBEDO ; PRECIPITATION ; FEEDBACKS ; COVER ; TEMPERATURE ; RAINFALL ; AFRICA ; SAHEL
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375739
作者单位	[Zhang, Zhengqiu; Zhai, Panmao] Chinese Acad Meteorol Sci, China Meteorol Adm, Beijing 100081, Peoples R China; [Xue, Yongkang] Univ Calif Los Angeles, Los Angeles, CA 90095 USA; [Deng, Huiping] Liaocheng Univ, Liaocheng 252059, Shandong, Peoples R China
推荐引用方式 GB/T 7714	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).
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).
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).