Dr. Rachid Abida is a skilled Atmospheric Scientist with over a decade of research experience spanning atmospheric, environmental, and climate sciences. He holds a Master’s degree in Atmospheric Sciences from the École Nationale de la Météorologie at Météo-France and a Ph.D. in Atmospheric and Environmental Sciences from École des Ponts ParisTech. Over his career, Dr. Abida has contributed to significant projects with leading research and operational institutions, including Météo-France, the European Space Agency (ESA), and the European Centre for Medium-Range Weather Forecasts (ECMWF), all focused on advancing the understanding of atmospheric dynamics.
Dr. Abida has strong experience in designing Observing System Simulation Experiments (OSSEs) and applying data assimilation techniques for Numerical Weather Prediction (NWP) and atmospheric composition studies. He specializes in developing and implementing advanced numerical models for weather forecasting and atmospheric dispersion, with a focus on radionuclide dispersion, monitoring network optimization, data assimilation, inverse modeling, and targeted observation strategies for tracking accidental radioactive releases. His expertise also includes atmospheric transport and dispersion modeling, data assimilation for reconstructing radioactive source terms and designing radionuclide monitoring networks. Skilled in high-performance computing, Dr. Abida integrates complex numerical models with observational data to produce precise simulations and analyses, providing valuable insights that support both scientific research and practical applications in atmospheric dynamics.
In 2020, Dr. Abida joined Khalifa University as a research scientist, where he played a key role in a project funded by the Federal Authority for Nuclear Regulation, focused on studying the atmospheric dispersion of radionuclides over the UAE. He is currently engaged in a project funded by the Emirates Nuclear Energy Corporation (ENEC), aimed at developing cost-effective numerical tools using advanced models to enhance atmospheric radionuclide monitoring in the event of a radiological emergency. Dr. Abida’s research bridges the gap between scientific modeling and decision-making, demonstrating how these models can guide effective environmental management strategies and enable robust monitoring across various spatial scales.
