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GENESIS OF SEVERE LOCAL STORMS -A GENETIC ALGORITHM APPROACH

机译:局部强暴发生的遗传算法

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Soft computing as Genetic Algorithm (GA) is employed in this study to discern the role of Convective Available Potential Energy (CAPE) and Convective Inhibition Energy (CINE) in the genesis of severe thunderstorms of pre-monsoon season over Northeasterm part of India. Result evinces that the population string with low CINE have higher fitness in the genesis of pre-monsoon thunderstorms than the strings with low or high CAPE. The convergence of the algorithm to a population string having low CINE and high CAPE reveals the existence of a negative correlation between CAPE and CINE during the occurrence of such storms.
机译:本研究采用软计算作为遗传算法(GA)来识别对流可用势能(CAPE)和对流抑制能(CINE)在印度东北部地区季风前季节雷暴的发生中的作用。结果表明,CINE较低的种群字符串在季风前雷暴的发生中比CAPE较低或较高的字符串具有更高的适应性。该算法对具有低CINE和高CAPE的人口字符串的收敛表明,在此类风暴的发生期间,CAPE和CINE之间存在负相关。

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