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	Response of Simulated Surface Air Temperature to the Interannual Variability of Leaf Area Index in Eastern China
	Zhang X. Z. ; Tang Q. H.
	2013
关键词	land-use climate impacts parameterization sensitivity feedbacks model
英文摘要	Using the coupled WRF-Noah model, we conducted two experiments to investigate impacts of the interannual variability of leaf area index (LAI) on the surface air temperature (SAT) in eastern China. The Moderate Resolution Imaging Spectroradiometer (MODIS) observed dynamic LAI data from 2002 to 2009 were used in one modeling experiment, and the climatological seasonal cycle of the MODIS LAI was used in the other experiment. The results show that the use of dynamic LAI improves model performance. Compared with the use of climatological LAI, the use of dynamic LAI may reduce the warm (cool) bias in the years with large positive (negative) LAI anomalies. The reduction of the warm bias results from the modeled cooling effect of LAI increase through reducing canopy resistance, promoting transpiration, and decreasing sensible heat flux. Conversely, the reduction of cool bias is a result of the warming effect of negative anomaly of LAI. The use of dynamic LAI can improve model performance in summer and to a lesser extent, spring and autumn. Moreover, the dynamic LAI exerts a detectable influence on SAT in the WRF model when the LAI anomaly is at least 20% of the climatological LAI.
出处	Advances in Meteorology
收录类别	SCI
语种	英语
ISSN号	1687-9309
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30027]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhang X. Z.,Tang Q. H.. Response of Simulated Surface Air Temperature to the Interannual Variability of Leaf Area Index in Eastern China. 2013.

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