Analysis and Visualization of Extreme Weather Events in the City of Rio de Janeiro

• Anderson Silva Laboratório Nacional de Computação Científica (LNCC)
• Thiago Moeda Observatório Nacional
• Fabio Porto Laboratório Nacional de Computação Científica (LNCC)

DOI: https://doi.org/10.5753/sbbd_estendido.2022.21866

Resumo

Extreme weather events regularly occur in different locations, causing immense social, environmental and economic impact and damage. Especially in the city of Rio de Janeiro, understanding extreme events related to heavy rains is a fundamental component for the correct prediction of new phenomena, ideally resulting in models capable of predicting when, how and where they will occur. The current work proposes the analysis of rain data collected from rainfall stations positioned in the city of Rio de Janeiro, with the objective of developing a spatial representation that can be used to predict heavy rains from climate models.

Palavras-chave: Precipitation Extremes Events, Stream data analysis, Time Series

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