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Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelors degree with honors (2017), Masters (2020), and Ph.D. (2024) in Applied Mathematics from the Institute of Mathematics and Statistics, University of São Paulo (IME-USP). Worked as a Postdoctoral Research Associate at Princeton University, based at the NOAA Geophysical Fluid Dynamics Laboratory (20242025). Currently a postdoctoral researcher at the Institute of Mathematics and Computer Sciences, University of São Paulo (ICMC-USP).Experienced in Numerical Analysis, with a focus on the numerical solution of differential equations and atmospheric modeling. Specializes in the development and application of finite volume and finite difference methods on spherical grids, such as centroidal Voronoi meshes and cubed spheres. More recently, has been working on multiscale domain decomposition methods applied to fluid flow in porous media. (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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