Análise de ferramentas computacionais utilizadas em modelos numéricos para representação de processos atmosféricos, oceânicos e de superfície

Eliseo Silva; Dirceu Herdies; Mario Quadro

doi:10.53455/re.v2i.32

Authors

Eliseo Breda da Silva Instituto Federal de Santa Catarina https://orcid.org/0000-0002-5858-7735
Dirceu Luis Herdies Instituto Nacional de Pesquisas Espaciais https://orcid.org/0000-0002-2872-8453
Mario Francisco Leal de Quadro Institudo Federal de Santa Catarina https://orcid.org/0000-0002-5904-5890

DOI:

https://doi.org/10.53455/re.v2i.32

Keywords:

modelos numéricos, NWP, acuracidade nas previsões

Abstract

Background: Digital transformation is a reality in all areas of human activity and has been accelerated by the recent Covid-19 pandemic. The use of Artificial Intelligence, Data Analytics, Augmented Reality, Robots, among other technologies makes it possible to automate processes in virtually all segments of the economy: agriculture, manufacturing and services. Understanding climate phenomena and their impact on the environment has always been a challenge for man who, from antiquity to the present day, is faced with unforeseen situations that have an impact on his day-to-day life, often putting his own life at risk. Currently, in addition to seeking to understand, what is sought is to predict the climate and its environmental impacts, in order to mitigate risks, enable the continuity of development, preserving nature (fauna, flora, natural resources, etc.). The use of computational tools for numerical modeling that represent this phenomenon is of paramount importance, addressing the need for ever faster and more reliable forecasts. Methods: This project analyzes tools available on the market, which use three different numerical models, describing the existing functionalities and assertiveness in predicting weather phenomena in Santa Catarina. Results: The project is still under development.

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