摘要: AbstractThis study introduces a system that objectively assesses severe thunderstorm nowcast probabilities based on hourly mesoscale data across the contiguous United States during period from 2006 to 2014. Previous studies have evaluated diagnostic utility of parameters in characterizing environments. In contrast, present merges cloud-to-ground lightning flash with both report and Storm Prediction Center Mesoscale Analysis create lightning-conditioned prognostic for numerous parameters, thus incorporating null-severe cases. The resulting dataset corresponding are called Statistical Severe Convective Risk Assessment Model (SSCRAM), which incorporates sample size over 3.8 million 40-km grid boxes. A subset five SSCRAM is investigated study. This shows storm do not vary strongly range values buoyancy paramete...
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