I specialize in space physics, with a strong background in ionosphere-thermosphere interactions and Equatorial Plasma Bubbles (EPBs). I earned my Bachelor's degree in Physics from the State University of Paraíba (UEPB), followed by a Master’s degree in Physics from the Federal University of Campina Grande (UFCG), and a Ph.D. from the National Institute for Space Research (INPE) in São José dos Campos, Brazil.
This repository contains a collection of data analysis projects focused on space weather monitoring, numerical methods, and geophysical modeling.
Data analysis and main parameters for multi-instrumentation in space wheather:
- Digisonde : Virtual height, critical frequencies, and other ionospheric parameters.
- Fabry-Perot : Temperature and neutral winds measured by a Fabry-Perot interferometer.
- Magnetometers : Components of Earth's magnetic field variations.
- GOES Satellite : Deep convective storms from top cloud temperature.
- GOLD Satellite : OI137,6 nm observations
- GNSS: TEC, ROTI and parameters from RINEX files (private repository)
- 🌍 GEO: Provides insights into geophysical attributes such as mapping, terminators, and geomagnetic field lines.
- Aeronomy-Plotting: Visualizes data correlations, time series, seasonal trends, and various plots from multiple models and instruments.
- 📊 Geophysical Indexes: Plotting and pipeline of planetary disturbance indexes, including geomagnetic and solar activity indicators.
- Calculates the Rayleigh-Taylor instability growth rate from numerical data.
- Mapping ionospheric and atmospheric parameters along of magnetic field lines Haerendel et al. 1992
- Retrieves data from GNSS observables from RINEX and SP3 files. Use pandas for data pipeline.
- Demonstrates how to use Requests and BeautifulSoup for scraping geophysical data from various sources.
- A collection of coding challenges (kata) from CodeWars, designed to improve coding skills through real-world exercises.
- A space for Python coding exercises and problem-solving challenges to enhance programming skills.