【摘要】 该文引入逐时气象要素对分解模型进行修正，针对C.P.R模型，提出一种基于日照时数、温度以及相对湿度的多气象要素修正模型。基于西安2015年10月1日—2017年7月31日观测数据，分析3种天气类型下模型修正前、后的计算误差，结果显示多气象要素修正模型的各项误差指标均低于未修正模型，且对于多云天气的修正效果最明显，平均可达2%。基于多气象要素的C.P.R修正模型考虑了气象及辐射观测数据现状，可为其他地区计算水平面逐时总辐射提供方法借鉴。更多还原

【Abstract】 Meteorological elements were introduced to modify the decomposition model in this paper. A multi-meteorological elementmodified model based on sunshine duration,temperature,and relative humidity was proposed for the C.P.R model. Based on the measured data of Xi’an from 2015.10.1-2017.7.31,the errors of the C.P.R model and modified model were compared on three types of weather. The results show that error indicators of the multi-meteorological element modified model are lower than those of the unmodified model,especially for cloudy weather,PRMSE can reduce by 2% on average. The multi-meteorological element-modified C.P.R model,taking the current situation of meteorological and radiation measured data into account,can provide a methodological reference for calculating the hourly global radiationon the horizontal plane for other regions.更多还原