Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results
25-05-2022
Fabio Porto, Mariza Ferro, Eduardo Ogasawara, Thiago Moeda,Claudio D. T. Barros, Anderson Chaves Silva, Rocio Zorrilla, Rafael S. Pereira, Rafaela Castro, João Victor Silva, Rebecca Salles, Augusto Fonseca, Juliana Hermsdorff, Marcelo Magalhães, Vitor Sá, Antonio Adolfo Simões, Carlos Cardoso, Eduardo Bezerra
Abstract:
Weather forecast services in urban areas face an increasingly hard task of alerting the population on extreme weather events. The hardness of the problem is due to the dynamics of the phenomenon, which challenges numerical weather prediction models and opens an opportunity for Machine Learning (ML) based models that may learn complex mappings between......