气候变化领域集成服务门户(CCPortal): SENSITIVITY OF PREDICTED AGRO-ECOSYSTEM VARIABLES TO ERRORS IN WEATHER INPUT DATA

CCPortal

DOI	10.13031/trans.13044
	SENSITIVITY OF PREDICTED AGRO-ECOSYSTEM VARIABLES TO ERRORS IN WEATHER INPUT DATA
	Zhang, Y.; Paustian, K.
发表日期	2019
ISSN	2151-0032
EISSN	2151-0040
卷号	62 期号:3 页码:627-640
英文摘要	Statistically interpolated weather station data, outputs from climate reanalyses, and results from downscaled general circulation model (GCM) simulations are widely used to drive a variety of agro-ecosystem model applications, including regional-and natio
关键词	Agro-ecosystem model DayCent model Prediction bias Weather data
学科领域	Agricultural Engineering
语种	英语
WOS记录号	WOS:000472716900006
来源期刊	TRANSACTIONS OF THE ASABE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/82076
作者单位	Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
推荐引用方式 GB/T 7714	Zhang, Y.,Paustian, K.. SENSITIVITY OF PREDICTED AGRO-ECOSYSTEM VARIABLES TO ERRORS IN WEATHER INPUT DATA[J],2019,62(3):627-640.
APA	Zhang, Y.,&Paustian, K..(2019).SENSITIVITY OF PREDICTED AGRO-ECOSYSTEM VARIABLES TO ERRORS IN WEATHER INPUT DATA.TRANSACTIONS OF THE ASABE,62(3),627-640.
MLA	Zhang, Y.,et al."SENSITIVITY OF PREDICTED AGRO-ECOSYSTEM VARIABLES TO ERRORS IN WEATHER INPUT DATA".TRANSACTIONS OF THE ASABE 62.3(2019):627-640.