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	Estimating daily global solar radiation during the growing season in Northeast China using the Angstrom-Prescott model
	Wu Z. F. ; Du H. B. ; Zhao D. S. ; Li M. ; Meng X. J. ; Zong S. W.
	2012
关键词	artificial neural-networks crop simulation-models sunshine duration spectral irradiance diffuse-radiation temperature data bright sunshine quality-control values
英文摘要	Daily global solar radiation is an important input required in most crop models. In the present study, a sunshine-based model, the ngstrom-Prescott model, is employed to estimate daily global solar radiation on a horizontal surface during the growing season in Northeast China. Data from six control groups are used. The controls include the entire sequence, precipitation days, and non-precipitation days both during the growing season and year-round. Estimations are validated by comparing the calculated values with the corresponding measured values. The results indicate that estimating daily global solar radiation during the growing season using data only from the growing season is better than using year-round data. Classifying days with respect to precipitation and non-precipitation is also unnecessary. The performance on estimating daily global solar radiation during the growing season using the entire data in growing season performs best. A sunshine-based equation is obtained using our method to estimate growing season daily radiation for all meteorological stations in Northeast China. The approved approach is expected to be beneficial to crop models and other agricultural purposes.
出处	Theoretical and Applied Climatology
卷	108
期	3-4
页	495-503
收录类别	SCI
语种	英语
ISSN号	0177-798X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/26743]
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	Wu Z. F.,Du H. B.,Zhao D. S.,et al. Estimating daily global solar radiation during the growing season in Northeast China using the Angstrom-Prescott model. 2012.

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