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基于采用统计分布分析方法,将由天气发生器weather generator生成的模拟数据与实际观测数据、月平均数据进行统计比较,并分别应用于作物模型中,以检验模拟数据在作物模型中的应用。统计分布分析包括相对系数分析和K-S非参数检验法。结果表明三种不同数据源应用于作物模型,模拟数据得到的平均预测产量均高于实际数据得到的预测产量,weather generator对日照时数要素的模拟有待进一步改进。
Based on the statistical distribution analysis method, the simulation data generated by the weather generator weather generator are compared with the actual observation data and the monthly average data, and are respectively applied to the crop model to test the application of the simulation data in the crop model. Statistical distribution analysis includes relative coefficient analysis and K-S nonparametric test. The results show that three different data sources are applied to the crop model. The average predicted yield of the simulated data is higher than the predicted yield of the actual data. Weather generator simulation of the elements of sunshine duration needs to be further improved.