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The use of sounding-derived indices for a neural network short-term thunderstorm forecast

机译:测深指标在神经网络短期雷暴预报中的应用

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In this paper several indices derived from atmospheric sounding data are used to develop a short-term thunderstorm forecast tool. The Udine ( Italy) sounding ( WMO code 16044, taken every 6 h, hereafter 6 h) is used to describe the initial conditions in which a thunderstorm may develop in the Friuli Venezia Giulia region. The tool forecasts the convective activity in the 6 h after the sounding is launched.
机译:在本文中,从大气探测数据得出的几个指标被用于开发短期雷暴预报工具。乌迪内(意大利)探测(WMO代码16044,每6小时采集一次,此后每6小时采集一次)用于描述Friuli Venezia Giulia地区可能发生雷暴的初始条件。该工具将在探测开始后的6小时内预测对流活动。

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