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Comparison of the behavior of the precipitation concentration index on global and local scale

机译:全球和地方尺度降水集中指数行为的比较

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The concentration index (CI) has been widely used in recent years to analyze the statistical structure of daily precipitation. This index was proposed by Martin-Vide Int J Climatol 24:959-971 (2004) to explore the contribution of the days of the greatest rainfall to the total amount. However, sometimes, the interpretation of the concentration index could be confusing because depending on the research work consulted, it could be categorized into different levels of concentration. The differences observed in the classifications are due to the distribution of the CI values within each of the regions under study, that is, it is due to local classification. Under these circumstances, it is important to differentiate between the global and local behavior of this index in order to make comparable the results of different research work. According to their definition, the concentration index could be classified intuitively on global manner as: very low concentration (0-0.2), low concentration (0.2-0.4), moderate concentration (0.4-0.6), high concentration (0.6-0.8), and very high concentration (0.8-1). The results show that the observed range of the CI values at a global scale of the countries considered in this work is between moderate and high. On the other hand, at the local scale, the methodologies proposed for the classification of the concentration index show a good performance. The local classification allows for knowing within the range of local variation the conditions of concentration of the precipitation at this scale.
机译:近年来,浓度指数(CI)已被广泛用于分析每日降水的统计结构。该指数是由Martin-Vide Int J Climatol 24:959-971(2004)提出的,目的是探讨最大降雨天数对总量的贡献。但是,有时,浓度指数的解释可能会造成混淆,因为根据所咨询的研究工作,浓度指数可能会分为不同的浓度水平。分类中观察到的差异是由于CI值在每个研究区域内的分布所致,也就是说,这是由于局部分类所致。在这种情况下,重要的是要区分该指数的整体行为和局部行为,以便比较不同研究工作的结果。根据他们的定义,浓度指数可以按整体方式直观地分类为:极低浓度(0-0.2),低浓度(0.2-0.4),中浓度(0.4-0.6),高浓度(0.6-0.8),浓度很高(0.8-1)。结果表明,在这项工作中所考虑的国家的全球范围内,CI值的观测范围介于中等和较高之间。另一方面,在地方范围内,提出的用于浓度指数分类的方法显示出良好的性能。局部分类允许在局部变化范围内知道该规模的降水集中条件。

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