【摘要】 在山东省临沂市气象局开发的"中尺度数值预报业务系统"的基础上,利用高分辨率的数值预报产品和地面气温观测资料,建立了地面气温的BP神经网络方法预报模型。检验结果表明BP神经网络模型的气温预报准确率高于逐步回归模型和MM5模式输出的气温预报准确率,可应用于实际预报业务中来制作气温的精细化预报。更多还原

【Abstract】 In this paper,based on the "Mesoscale Numerical Forecasting System" developed by the Linyi Meteorological Bureau,the BP neural network model was applied to forecast the surface air temperature using the high resolution numerical forecasting data and observation as input.The result shows that accuracy rate of the BP model is higher than the stepwise regression model and MM5 model in surface air temperature forecasting,and the BP model can be applied in realtime surface air temperature forecast更多还原