基于前馈神经网络的多模式集成降水预报研究
Research on multi-model integrated precipitation forecast based on feed forward neural network
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 |
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Research on multi-model integrated precipitation forecast based on feed forward neural network |
| ZHU Wengang, SHENG Chunyan, FAN Sudan, RONG Yanmin, QU Meihui |
| 图7 不同模式和不同方案预报2020年4—9月山东省24~48 h累积降水量的TS评分（a）、漏报率（b）、空报率（c）、Bias评分（d）和ETS评分（e） |
| Fig.7 Threat score (a), miss rate (b), false alarm rate (c), bias score (d) and equitable threat score (e) of 24-48 h cumulative precipitation predicted by different models and different schemes in Shandong Province from April to September 2020 |
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