5-7 October 2020
Online
Europe/Berlin timezone

Rainfall nowcasting using deep learning method in southeast of Brazil

7 Oct 2020, 11:40
20m
Online

Online

Oral presentation Flash Flood Prediction

Speaker

Angelica Caseri

Description

Around the world, such as in southeastern Brazil, extreme rainfall events cause
several socioeconomic damages. Due to some of its characteristics, as the high
space-time variability, these events are difficult to predict. Methods based on
deep learning can be one of the solutions for this type of issue. These methods
have a high capacity to learning through historical events. This research aims to
develop a model able to generate rainfall nowcasting based on neural networks
using radar data. For study case, fifteen rainfall events were selected in the
region of Campinas (state of São Paulo-Brazil). The results show that the
approach can be a possible solution for nowcasting of extreme rainfall events.

Primary author

Angelica Caseri

Co-author

Leonardo B. L. Santos (Cemaden)

Presentation Materials

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