Severe convective storms are capable of producing hail, gusty winds and lightning also accumulated significant rain. Weather systems are difficult to predict due to its short duration (hours). However, indices are used in meteorology of instability that are based on vertical profiles of temperature, humidity and wind synthesizing some thermodynamic characteristics and wind shear typical convective situations. In this work we used vertical profiles obtained at two airports in the Galeão/RJ and Campo de Marte/SP as well as the daily amount of lightning in the vicinity of the airports within a radius of 200 km, from November 2008 to March 2009. In literature there are various levels of instability each one with its proper and particular potential in predicting certain weather systems. Due to the large amount of instability indices, multivariate techniques were used to analyze these indices in order to correlate some of them that can identify a higher number of lightning associated with severe convective storms. The use of multivariate techniques is a common method to reduce the number of variables that can explain certain phenomena according to factors that are assigned to each variable. In a first analysis, the K indices, CAPE and LI seem to indicate a good correlation with the observed lightning activity at both airports.
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