中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimating daily global solar radiation during the growing season in Northeast China using the Angstrom-Prescott model

文献类型:SCI/SSCI论文

作者Wu Z. F. ; Du H. B. ; Zhao D. S. ; Li M. ; Meng X. J. ; Zong S. W.
发表日期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
108
3-4
495-503
收录类别SCI
语种英语
ISSN号0177-798X
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.

入库方式: OAI收割

来源:地理科学与资源研究所

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