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Exploring radar and lightning variables associated with the Lightning Jump. Can we predict the size of the hail?

机译:探索与闪电跳跃相关的雷达和闪电变量。我们可以预测冰雹的大小吗?

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Severe weather regularly hits the Lleida Plain (western part of Catalonia, NE of Iberian Peninsula), causing important damage to the local agriculture. In order to help severe weather surveillance tasks, the Meteorological Service of Catalonia (SMC) implemented in 2016 the Lightning Jump (LJ) algorithm as operative warning tool after an exhaustive validation phase of several months. The present study delves into the analysis of the relationship between Lightning Jump alerts and hail occurrence, through the analysis of lightning and radar variables in the moment when the warning is issued. Overall, the study has consisted of the analysis of 149 cases, grouping them into two categories according to hail size: small and large hail, with a threshold of 2 cm of diameter. The thunderstorms related to big sized hail presented remarkable differences in some of the variables analysed that could help forecast the size of hail when the LJ alert is triggered. Moreover, other variables have been allowed to observe and to corroborate how the LJ algorithm works during the 13 min before the warning is triggered.
机译:恶劣的天气经常袭击莱里达平原(伊比利亚半岛东北部加泰罗尼亚西部),对当地农业造成重大破坏。为了帮助进行严峻的天气监视任务,经过几个月的详尽验证阶段后,加泰罗尼亚气象局(SMC)于2016年实施了闪电跳跃(LJ)算法作为操作警告工具。本研究通过对发出警报时的闪电和雷达变量进行分析,从而深入分析了雷电跳跃警报与冰雹发生之间的关系。总体而言,该研究包括对149例病例的分析,根据冰雹的大小将其分为两类:小冰雹和大冰雹,直径阈值为2 cm。与大型冰雹有关的雷暴在所分析的一些变量中显示出显着差异,这些变量可以帮助在触发LJ警报时预测冰雹的大小。此外,在触发警告之前的13分钟内,还允许其他变量观察和证实LJ算法的工作方式。

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