Tim Kodikara

Tim Kodikara

Space Physicist | Data Assimilation | Open Science Advocate

Hi!

I am a space physicist and a specialist in statistical data assimilation. My research focuses on physics-based modelling and forecasting of the thermosphere-ionosphere system to improve space weather predictions. I combine fundamental physics with advanced computational tools, such as Python, Fortran, machine learning and supercomputing, to transform complex datasets into actionable insights for real-world challenges.

Research Interests

I’m passionate about data science. The upper atmosphere is a fascinating topic, not only for the management of space assets, but also due to its far-reaching consequences relating to space weather. There is also the simple curiosity of exploring a region of space that is not fully understood. My work focuses on:

  • Bayesian optimisation, Kalman filter, 4D Variational data assimilation for ionosphere-thermosphere;
  • Dynamic mode decomposition (DMD);
  • Developing high-resolution climate simulations, such as OTHITACS;
  • Remote sensing and modelling of Earth and space environments;
  • Leveraging AI/ML and GPU computing to improve the accuracy of space weather modelling and forecasting.

As an NFDI4Earth Academy Fellow, I actively promote open science and robust research data management. I’m experienced in interdisciplinary research and have collaborated with a wide range of specialists, including space physicists, atmospheric scientists, aerospace engineers, applied mathematicians and statisticians.