Abstract
Extreme rainfall events are one of the natural phenomena that cause more damages. These events are known to be well localized, especially in tropical and subtropical climate regions such as southeastern Brazil. These events have high heterogeneity and the evolution of rain cells changes is quick, the forecast and knowledge of these extreme rainfall events still represent a challenge for the scientific community, such as the spatial variability of rainfall. For this, data from the weather radar installed in Campinas city were used, which generates new radar images every 10 minutes, and data from twenty-nine rain gauges located in the region. For this, 16 rainfall events were selected, located in the region of Campinas/SP, southeast of Brazil, a region that has already recorded many events. For this study, rain and intermittent zones were analyzed separately. This study helps to understand the main statistical characteristics of severe events, mainly located in the region of Campinas. In addition, the information extracted and the analyzes carried out in this study can be used as input data for models that generate possible rainfall scenarios, ensembles, such as, methods based on geostatistics or machine learning.
Highlights
IntroductionFloods generated by extreme rainfall events cause high socioeconomic damages
Every year, floods generated by extreme rainfall events cause high socioeconomic damages
Flash floods most often result from extreme rainfall events occurring over areas that, given local hydrometeorological features, are prone to this specific natural hazard (Borga et al, 2010)
Summary
Floods generated by extreme rainfall events cause high socioeconomic damages. Marengo et al (2013) found that in the region of São Paulo the total and intensity of severe rain events increased since mid-1930. According to Marengo et al (2013) in the São Paulo region, the total and intensity of severe rainfall events increased. These events can generate floods and may have a strong impact on human activities, especially in urban areas, as metropolitan region of Campinas/SP; where values-atrisk increase along the development of the economy, independently of the evolution of climate hazard (Ootegem et al, 2018). Flash floods most often result from extreme rainfall events occurring over areas (or catchment areas) that, given local hydrometeorological features, are prone to this specific natural hazard (Borga et al, 2010)
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