Atmospheric Scientist
Atmospheric scientist specialized in air quality modeling and computational tool development. Currently a Postdoctoral Research Associate at Northeastern University, working with air-quality model application, evaluation, and development. Experienced in computational tool creation and deeply interested in atmospheric boundary layer, atmospheric dynamics, turbulence, transport phenomena, and atmospheric chemistry. My goal is to advance the understanding of the atmosphere through pioneering research and innovative analytical approaches.
Publication
Awards
Projects
Experience
Mentoring of PhD candidates. Application, evaluation and development of Air Quality models for multiple projects and regions at CASCADE (Clean Air Smart City and Digital Earth) lab, across regions including Brazil, US, Africa, and Dubai.
- Brazil: Multi-year WRF-Chem projections of air quality
- US: Built GHG emission frameworks for WRF-GHG, and aplication and evaluation of UFS-CMAQ
- Africa: Application and optimization of WRF-Chem to simulate PM2.5
- Dubai: Applied CAMx with advanced tools for source apportionment and emissions scenario simulation
WRF-Chem model training school on air quality prediction and forecasting for “Training Course on Seamless Prediction of Air Pollution in Africa”
- Designed model domains, prepared inputs, and performed sensitivity analysis for WRF-Chem during a training course on air quality forecasting in Africa
- Delivered online instruction and led hands-on simulation sessions for international trainees
Study of the impact on air quality of emission scenarios in the formation of the secondary pollutants: ozone and particulate matter in Brazilian metropolitan regions using numerical models.
- Investigated secondary pollutant (ozone and PM) formation under varied emission and climate scenarios using WRF-Chem
- Generated insights into future air quality trends across Brazilian metropolitan regions
Research focused on obtaining a complete diagnosis of the impact of vehicle fuels on air quality in urban regions in the southeast of Brazil and adjacent areas, through atmospheric modelling and scenario studies.
- Analyzed the impact of vehicle fuels on air quality in São Paulo through scenario modeling and WRF-Chem simulations using street-level emissions
Perform simulations of the dispersion of sulfur dioxide (SO2) from the thermoelectric power generation plant at Porto do Itaqui located in São Luís (Maranhão) using WRF-CHem and analysis of the results. The analysis was delivered in the form of media (images and animation) and a technical report together with the technical opinion.
- Simulated dispersion of SO₂ from a thermoelectric plant using WRF-Chem; produced technical reports, visualizations, and animations for stakeholders
The research focused on determining turbulent flow behaviour in clearing regions and the mechanisms of atmospheric interaction between clearings and the Amazon forest, such as recirculation, boundary layer structure and formation of organized structures for this type of flow regime.
- Modeled turbulent flow and boundary layer dynamics for clearings in the Amazon forest using LES and wind tunnel studies
OSS Contribution
I'm a creator and contributor of Open Source Software R-packages in CRAN (Comprehensive R Archive Network, official R repository) and github.
Skills
Modeling Skills
- • Air Quality Models (Expert): WRF-Chem (emissions, boundary conditions, physics schemes, model modification), CAMx, UFS-CMAQ
- • Weather Forecast Models (Advanced): WRF (NWP, nested domains, physics schemes), WRFDA (data assimilation), UFS Model
- • Emission Models (Intermediate): VEIN, EmissV, SMOKE
- • Oceanic Models (Intermediate): WRF-Chem-ROMS
Data Analysis & Processing
- • Emission Processing (Advanced): WRF-Chem, CAMx, UFS-CMAQ
- • Observation Comparison (Advanced): Model-observation comparison and statistical analysis
- • R and Python (Advanced): Data processing, scripting, visualization, and analysis
- • Satellite and Specialized datasets (Advanced): Processing, visualization and use of grided datasets (CERES, MODIS, MAIAC, SCIAMCHY, MOPITT, OMI, AIRS, MERGE, GPCP, PRISM, TMPA, TEMPO) and non-grided datasets (METAR, INMET, AQS, AERONET, Purple Air) to improve and validade models
Programmer & Git
- • R (Expert): R package development, scripting and analysis
- • Python (Intermediate): scripting and analysis
- • Fortran / C# / C++ (Intermediate): compiling and debugging
- • Bash / Csh (Intermediate): Automation, model job submission
- • Git (Intermediate): version control and collaborative development
Supercomputing
- • HPC (Advanced): Globus, Derecho, Anvil, Discovery, Cheyenne, Stampede2
- • Job Schedulers & Workflow (Intermediate): Slurm, PBS, Rococo