A look at the mathematics of radar-based nowcasting

Authors

DOI:

https://doi.org/10.5902/2179460X87224

Keywords:

Mathematics, Image processing, Nowcasting, Radar Data

Abstract

Short-term weather prediction systems that rely on radar information, known as nowcasting, involve multiple stages of numerical computation and visualization. The algorithms utilized encompass geometric transformations, statistical analysis, image processing, scalar and vector field calculations, and numerical computations based on various mathematical models. Current computer software used for nowcasting, which depends on data and images, requires a deep understanding of fundamental geometry, calculus, algebra, and various mathematical principles from both users and developers. This paper aims to provide a concise and straightforward overview of the process of handling weather radar data for visualization and nowcasting, while also delving into the mathematical principles underpinning these techniques. As a result, the application of mathematics topics covered in undergraduate courses was presented, in the context of their practical use in precipitation and severe events nowcasting systems.

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Author Biographies

Tiago Martinuzzi Buriol, Universidade Federal de Santa Maria

Tiago M Buriol has a degree in Mathematics from Unifra (2001) and Civil Engineering from the Federal University of Santa (2003), a master's degree (2006) and a doctorate (2012) in Numerical Methods in Engineering from UFSM. He is currently an Assistant Professor in the Department of Mathematics at UFSM, working in the area of applied and computational mathematics.

Leonardo Calvetti, Universidade Federal de Pelotas

Leonardo Calvetti has a degree in Meteorology from the Federal University of Pelotas (1998), a master's degree (2002) and a doctorate (2011) in Meteorology from the University of São Paulo. He worked as a research meteorologist at Simepar until January 2016. He is currently a professor at the School of Meteorology at UFPel working in the areas of weather radar, nowcasting, mesoscale and hydrometeorology.

Kerollyn Andrzejewski, Universidade Federal de Pelotas

Kerollyn Andrzejewski has a degree in Meteorology from the Federal University of Pelotas (2023) and a master's degree in Meteorology in progress. She has developed research projects on Quantitative Precipitation Estimation (QPE) using data from weather radars and nowcast.

Cesar Augustus Assis Beneti, SIMEPAR - Sistema Meteorológico do Paraná

Cesar A Beneti holds a Bachelor's degree in Meteorology from the University of São Paulo (1986), a Master's degree in Meteorology from the University of São Paulo (1991), and a PhD in Meteorology from the University of São Paulo (2012). He is currently Executive Director and Coordinator of Monitoring and Forecasting at SIMEPAR - Meteorological System of Paraná.

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Published

2024-11-07

How to Cite

Buriol, T. M., Calvetti, L., Andrzejewski, K., & Beneti, C. A. A. (2024). A look at the mathematics of radar-based nowcasting. Ciência E Natura, 46(esp. 1), e87224. https://doi.org/10.5902/2179460X87224

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Section

Special Edition 1

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