Utilizing CLASIC observations and multiscale models to study the impact of improved Land surface representation on modeling cloud- convection

doi:10.2172/1082727

GSTDTAP > 地球科学

DOI	10.2172/1082727
报告编号	DE-FG02-08ER64674
来源ID	OSTI ID: 1082727
	Utilizing CLASIC observations and multiscale models to study the impact of improved Land surface representation on modeling cloud- convection
	Niyogi, Devdutta S. [Purdue]
	2013-06-07
出版年	2013
语种	英语
国家	美国
领域	地球科学
英文摘要	The CLASIC experiment was conducted over the US southern great plains (SGP) in June 2007 with an objective to lead an enhanced understanding of the cumulus convection particularly as it relates to land surface conditions. This project was design to help assist with understanding the overall improvement of land atmosphere convection initiation representation of which is important for global and regional models. The study helped address one of the critical documented deficiency in the models central to the ARM objectives for cumulus convection initiation and particularly under summer time conditions. This project was guided by the scientific question building on the CLASIC theme questions: What is the effect of improved land surface representation on the ability of coupled models to simulate cumulus and convection initiation? The focus was on the US Southern Great Plains region. Since the CLASIC period was anomalously wet the strategy has been to use other periods and domains to develop the comparative assessment for the CLASIC data period, and to understand the mechanisms of the anomalous wet conditions on the tropical systems and convection over land. The data periods include the IHOP 2002 field experiment that was over roughly same domain as the CLASIC in the SGP, and some of the DOE funded Ameriflux datasets.
URL	查看原文
来源平台	US Department of Energy (DOE)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/6391
专题	地球科学
推荐引用方式 GB/T 7714	Niyogi, Devdutta S. [Purdue]. Utilizing CLASIC observations and multiscale models to study the impact of improved Land surface representation on modeling cloud- convection,2013.