文献类型： 外文期刊
第一作者： Li, Shijuan
作者： Li, Shijuan;Zhu, Yeping
作者机构：
关键词： Weather generator;Dry and wet spell;Growth simulation
期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT III
ISSN： 1868-4238
年卷期： 2012 年 370 卷
页码：
收录情况： SCI
摘要： The daily weather series simulated with observed weather data and weather data generated with conventional WGEN model taking dry and wet day as stochastic parameter and DWS model were statistically compared and analyzed. These three weather data were respectively used to drive maize growth simulation model. The corresponding yield results were compared. The results showed there was no significant difference between observed weather data and weather data generated with DWS model. The difference between yield simulated with DWS model and yield simulated with WGEN model was not significant.
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