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    Detection of Bow Echoes in Kilometer-Scale Forecasts Using a Convolutional Neural Network

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    AIES-D-21-0010.1.pdf (3.411Mb)
    Date
    2022
    Author
    Arnaud Mounier
    Laure Raynaud
    Lucie Rottner
    Matthieu Plu
    Philippe Arbogast
    Michaël Kreitz
    Léo Mignan
    Benoît Touzé
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    Abstract
    Bow echoes (BEs) are bow-shaped lines of convective cells that are often associated with swaths of damaging straight-line winds and small tornadoes. This paper describes a convolutional neural network (CNN) able to detect BEs directly from French kilometer-scale model outputs in order to facilitate and accelerate the operational forecasting of BEs. The detections are only based on the maximum pseudoreflectivity field predictor (“pseudo” because it is expressed in mm h
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4290387
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