The Quantile Statistical Technique as a Method to Determine Dry and Rainy Seasons in Sobral, Ce
Francisca Sena da Silva, Jander Barbosa Monteiro

Abstract
Climate change and related topics are presenting themselves as issues discussed in various sectors of society in recent decades. In this scenario, the extreme events of rain contribute to the outbreak of natural disasters in Brazil, with material and human damages that affect the most vulnerable populations. However, several factors and variables – such as social affairs – make it hard to define the term extreme event. Thus, this research aims to determine the rainfall levels in Sobral based on the use of the quantile statistical technique for thirty years (from 1989 to 2018). Five delimitation categories in this paper characterize the rainfall behavior (yearly accumulation): very dry, dry, normal, rainy, and very rainy. The collection of information on the climate regime of the area, especially in the extreme groups (very dry and very rainy), serves as a tool for further studies related to the topic. Besides, it represents the authors’ belief that the delimitation of the events is the first step towards the correct adoption of preventive measures.

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