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Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Associate professor at the Department of Applied Mathematics at the Institute of Mathematics and Statistics (IME) - University of São Paulo (USP). Habilitation thesis defended in 2019 at USP. Graduated in Applied and Computational Mathematics at Instituto de Matemática e Estatística - Universidade de São Paulo (2006). In the same institute, obtained a Masters degree in 2009, and a PhD in 2013, both related to numerical analysis. Visiting Fellow at the Isaac Newton Institute of Mathematical Sciences (Univ. of Cambridge) for the Multiscale Numerics for the Atmosphere and Ocean Programme, 2012. In 2015, had a year-long sabbatical leave as an Honorary Research Fellow in Mathematics at the College of Engineering, Mathematics and Physical Sciences of the University of Exeter - UK. Main interests are related to numerical modeling of global atmosphere and fluid dynamics on the sphere. Associate Editor of Monthly Weather Review (2015-2020). Member of Brazilian Academy of Sciences. (Source: Lattes Curriculum)
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Numerical methods for geophysical fluid dynamics are a central piece in weather and climate modeling, furthermore, they are recently going through radical changes to become adequate to the new generation of supercomputers that demands massively parallel processing. This project concerns the investigation of numerical methods, considering time and space discretizations, aiming at adequatel…
This project aims to bring together research teams from the University of Exeter and the University of São Paulo to facilitate further collaborative research in improving the representation of high-resolution dynamics in atmospheric models. At close to kilometre resolution scales, numerical atmospheric models start to better represent features once only modelled via subgrid scale turbulen…
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.This project aims to study two different lines of numerical schemes for this next generation of models: (i) the development and analysis of numerical sch…
(Only some records are available in English at this moment)
One of the simplest models to describe geophysical fluid dynamics, that can yet capture complexfeatures of the atmosphere and ocean dynamics, is the so-called Rotating Shallow Water Equations(SWE). These equations consider the effects of the Earth rotation in a single layer of fluid, avoidingthe complications coming from vertical stratification. Furthermore, adding layers, and especially,…
Data assimilation is a key area for weather and climate modeling and prediction. With the development of modern weather and climate models at very high spatial resolutions, new problems in data assimilation are emerging. This proposal is motivated by two of these problems. The first problem is that although the increased resolution will allow to explicitly resolve important small-scale no…
Depending on the choice of numerics, different effects are present in the simulated flow that can potentially impact the Subgrid scale (SGS) model.The TRiSK numerical scheme used in MPAS is known to be subjected to the Hollingsworth instability which leads to the appearance of spurious small-scale waves, at the order of the grid spacing, that can grow in scale and taint larger scales, pro…
This postdoctoral project aims to study the numerical resolution of atmospheric fluid dynamics models using parallel-in-time schemes. As a component of complex climate and weather prediction models, atmospheric modelling must provide accurate numerical solutions, which are computationally expensive; therefore, temporal parallelization is a promising approach for reducing the high computat…
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…
(Only some records are available in English at this moment)
Global numerical models for weather and climate simulations historically employ latitude-longitude grids on the sphere. However, the pole singularities and the related anisotropies tend to cause a loss of computational efficiency in modern massively parallel computers. Several research groups have been investigating alternatives, considering more isotropic spherical grids. One of the most…
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