"Assessing the performance of PBL parameterization schemes in the central Amazon basin during GoAmazon2014/5" (Available online at http://mtc-m21d.sid.inpe.br/col/sid.inpe.br/mtc-m21d/2022/07.14.13.58/doc/publicacao.pdf).Numerical weather prediction (NWP) models are unable to fully resolve the complete physics due to numerical constraints related to available computing resources. On the other hand, the subgrid-scale turbulence is parameterized into horizontal and vertical mixing components. This work assessed the performance of Planetary Boundary Layer schemes, which handle the vertical subgrid-scale turbulence in NWP models, through the state-of-the-art Weather Research and Forecasting (WRF) model. Short-term forecasts were performed using WRF model and the predictability of eleven PBL schemes were assessed with observational data from Green Ocean Amazon field campaign. Further informations can be found in the reference.

Chemistry and Energy Department, Guaratinguetá Engineering Faculty, São Paulo State University UNESP.During my period as an intern I've worked with numerical modeling of industrial problems in fluid dynamics and structural analysis through handmade codes as well as commercial softwares (CAD/CFD/FEA).

Aerodynamics Head during the 2018 Aerodesing SAE season.