《LightNet：A Dual Spatiotemporal Encoder Network Model for Lighting Prediction》论文解读
本文提出了一种名叫LightNet的模型用于对雷电进行预测。通过数值天气预报系统(NWP)计数出参数，对参数进行编码，同时通过对观测图像也进行编码，其目的是校准参数编码并协助预测，对两个编码后的输出进行融合，在进行编码，最后得到需要的结果。实验证明LightNet效果优于传统气象方法和单纯的ConvLSTM。 研究目的 严重的雷电现象通常会对人类活动产生危害，因此对雷电现象的预测就显得至关重要。现
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相关文章
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