Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast

Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast

Accurate lightning forecast is significant for disaster prevention and reduction. However, the mainstream lightning forecast methods, which mainly rely on numerical simulations and parameterizations, can hardly cope with the spatiotemporal deviations. Meanwhile, the rapid and complex evolution of li...

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Bibliographic Details
Main Authors: Tianyang Lin, Qingyong Li, Yangli-Ao Geng, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
lightning forecast
spatiotemporal data mining
convolutional neural network
channel-wise attention
Online Access:https://ieeexplore.ieee.org/document/8886440/

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