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    ProbSevere LightningCast: A Deep-Learning Model for Satellite-Based Lightning Nowcasting

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    WAF-D-22-0019.1.pdf (5.284Mb)
    Date
    2022
    Author
    John L. Cintineo
    Michael J. Pavolonis
    Justin M. Sieglaff
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    Abstract
    Lightning strikes pose a hazard to human life and property, and can be difficult to forecast in a timely manner. In this study, a satellite-based machine learning model was developed to provide objective, short-term, location-specific probabilistic guidance for next-hour lightning activity. Using a convolutional neural network architecture designed for semantic segmentation, the model was trained using
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4290061
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