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Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME) (Institutional affiliation from the last research proposal) Birthplace: Brazil
He earned a bachelor's degree with honors (2017), a master's degree (2020), and a Ph.D. (2024) in Applied Mathematics from the Institute of Mathematics and Statistics at the University of São Paulo. He is currently a postdoctoral researcher at Princeton University, based at the Geophysical Fluid Dynamics Laboratory. His expertise lies in Numerical Analysis, focusing on the numerical solution of differential equations and atmospheric numerical modeling. Specifically, he specializes in finite volume and finite difference methods applied to spherical grids, including centroidal Voronoi meshes and cubed spheres. (Source: Lattes Curriculum)
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The global atmospheric model FV3 from GFDL-NOAA-USA, which was originally designed for latitude-longitude grids, was adapted to the cubed sphere aiming to improve its scalability in massively parallel supercomputers. However, in this kind of grid, we are more likely to have grid imprinting problems. Besides that, the FV3 model lacks some highly desirable mimetic properties. This work aims…
Numerical models for atmospheric dynamics, a central piece in weather and climate forecasting, are going through radical changes in order to become adequate for the next generation supercomputers that demand massively parallel processing. Quasi-uniform spherical grids avoids scalability problems encountered in traditional models, but creates challenges for the development of numerical sch…
Some physics problems like weather prediction and ocean modelling adopt the sphere as basic domain. These problems require the numerical solution of the differential equations that model the fluid dynamics. Therefore, discretizations of the sphere are necessary to numerically solve the equations. In meteorological models, the most common discretization of the sphere, used since 1960's unt…
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