一种基于神经网络的中国区域夏季降水预测订正算法

李涛, 陈杰, 汪方, 韩锐

A correction algorithm of summer precipitation prediction based on neural network in China

LI Tao, CHEN Jie, WANG Fang, HAN Rui

图5 1996—2019年中国8个区域CWRF模式回报的夏季降水量及其ADNN算法订正值与观测值的时间相关系数 [绝对值大于等于0.33的填色区由浅至深分别通过α=0.1、0.05和0.01的显著性检验(下同)]

Fig.5 The temporal correlation coefficients of summer precipitation reforecast of CWRF model and its correction of ADNN algorithm with the observation in the eight regions of China from 1996 to 2019 (The colour areas from light to dark with absolute value greater than or equal to 0.33 passed the significance tests at 0.1, 0.05 and 0.01 level, respectively (the same as below))