气候变化领域集成服务门户(CCPortal): Higher contributions of uncertainty from global climate models than crop models in maize-yield simulations under climate change

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DOI	10.1002/met.1738
	Higher contributions of uncertainty from global climate models than crop models in maize-yield simulations under climate change
	Zhang, Yi; Zhao, Yanxia; Feng, Liping
发表日期	2019
ISSN	1350-4827
EISSN	1469-8080
卷号	26 期号:1 页码:74-82
英文摘要	Quantifying and separating different sources of uncertainty helps to improve the understanding of the projected effects of climate change and can inform decision-making in adaptation planning. This paper (1) evaluated four process-based crop models; (2) a
关键词	climate model crop model uncertainty variance yield
学科领域	Meteorology & Atmospheric Sciences
语种	英语
WOS记录号	WOS:000459616800007
来源期刊	METEOROLOGICAL APPLICATIONS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/81679
作者单位	Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yi,Zhao, Yanxia,Feng, Liping. Higher contributions of uncertainty from global climate models than crop models in maize-yield simulations under climate change[J],2019,26(1):74-82.
APA	Zhang, Yi,Zhao, Yanxia,&Feng, Liping.(2019).Higher contributions of uncertainty from global climate models than crop models in maize-yield simulations under climate change.METEOROLOGICAL APPLICATIONS,26(1),74-82.
MLA	Zhang, Yi,et al."Higher contributions of uncertainty from global climate models than crop models in maize-yield simulations under climate change".METEOROLOGICAL APPLICATIONS 26.1(2019):74-82.