利用中国区域1961--1999年39a间98个常规气象观测数据,建立6个模型分别以天文辐射、干洁大气总辐射和湿洁大气总辐射为起始数据,进行太阳辐射日总量的模拟,对比分析了6个水平面太阳总辐射量计算模型的性能。结果表明:在三种起始数据中,干洁大气总辐射和湿洁大气总辐射均能较好地体现宏观地势对太阳辐射空间分布的影响,以湿洁大气总辐射为起始数据的计算模型拟合精度相对较高。对6个水平面太阳总辐射量计算模型的对比分析发现:2个以日照百分率为主导因子,气温日较差为修正项的综合模型拟合误差最小,精度最高;经典的日照百分率模型次之,但其模型系数最稳定可靠;3个气温日较差模型拟合效果最差。最终选用经验系数稳定、拟合精度较高的日照百分率模型,制作了2001年中国水平面太阳辐射日总量空间分布图。
Based on the actual sunshine hours, daily maximum and minimum temperatures data re- corded at 98 meteorological stations from 1961 to 1999, the performance of six horizontal global solar ra- diation computational models with different meteorological factors is analyzed by simulating the observa- tional materials, in which extraterrestrial solar radiation, dry and wet clean atmosphere radiation are included as starting data. The simulation result shows that the models with starting data of dry and wet clean atmosphere radiation can comparatively reflect the macro-terrain effect on the spatial distribution of solar radiation, while the model with starting data of only wet clean atmosphere radiation gives higher fit- ting precision. Among the 6 models, the analysis indicates that the two integrated models with the sun- shine percentage as main variable, including the diurnal temperature range as correction variable, display the best performance; the model based on sunshine percentage has the best experiential coefficients sta- bility and quite good precision, while the other three models based on the diurnal temperature range pres- ent the worst results. Finally, the model based on sunshine percentage is adopted to map the distribution of horizontal daily solar radiation in China, 2001.