基于前馈神经网络的多模式集成降水预报研究

朱文刚, 盛春岩, 范苏丹, 荣艳敏, 曲美慧

Research on multi-model integrated precipitation forecast based on feed forward neural network

ZHU Wengang, SHENG Chunyan, FAN Sudan, RONG Yanmin, QU Meihui

图9 不同模式和不同方案预报山东省2020年4—9月12~36 h（a、c）、36~60 h（b、d）累积降水量晴雨准确率（a、b）和ETS评分(c、d)

Fig.9 The accuracy of sunny and rainy (a, b) and equitable threat score (c, d) of cumulative precipitation in 12~36 h (a, c) and 36~60 h (b, d) from April to September 2020 in Shandong Province were predicted by different models and different schemes