Analysis of days with thunderstorms, using thermodynamic indices and derived index
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Abstract
In the research, an analysis of the traditional thermodynamic indices is made, in different synoptic situations typical of the dry and rainy periods in Cuba in the years 2008 and 2019, in which Electrical Storms occurred. The fundamental objective is to determine which one or which of these indices best adjusts to different synoptic configurations, as well as to determine a derived index that improves the prediction of electrical storms in the western region of Cuba. Data from the Global Forecast System (GFS) were used to feed the Weather Research Forecast / Advanced Research (WRF-ARW) mesoscale model, with a spatial resolution of 4 kilometers, covering the western region of Cuba; the chronology of cold fronts and that of electrical storms for the selection of case studies. The correlations determined that the K, TT and GDI indices were the ones that showed the highest correlations, being greater than 0.5. With these results, the derived index was determined, with which a detection of convective processes in the study area of 73 and 75 % was obtained for the dry and rainy periods, respectively.
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