Faces of Research” series by PostGenAI@Paris

Using Artificial Intelligence to Better Understand Earth's Atmosphere

How can we transform vast amounts of satellite data into meaningful insights about our planet? This is the challenge at the heart of the research conducted by Valerio Actis Dato Casale, whose work combines artificial intelligence, physics, and atmospheric science to improve our understanding of Earth's atmosphere.

As the final profile in our Faces of Research series, we are pleased to highlight his innovative research on ozone monitoring using next-generation satellite observations.

Unlocking the Potential of Satellite Data

Under the supervision of Sarah Safieddine, Valerio is developing artificial intelligence methods to retrieve ozone vertical profiles from observations collected by IASI-NG (Infrared Atmospheric Sounding Interferometer – New Generation), a state-of-the-art instrument carried aboard weather satellites.

Modern Earth observation missions generate enormous volumes of atmospheric data every day. However, converting these raw measurements into accurate and actionable scientific information remains a complex challenge. By leveraging AI techniques, researchers can improve the retrieval process, enabling faster and more precise estimates of how ozone is distributed throughout the atmosphere.

Why Ozone Matters

Ozone plays a crucial role in maintaining the balance of Earth's atmosphere. In the stratosphere, the ozone layer protects life by absorbing harmful ultraviolet radiation from the Sun. Closer to the surface, ozone concentrations can influence air quality and have significant impacts on human health and ecosystems.

Accurately measuring ozone distribution at different altitudes is therefore essential for climate research, atmospheric monitoring, and environmental policy. Improved observations help scientists better understand atmospheric processes and refine the models used to predict future environmental changes.

From Complex Systems Physics to Real-World Impact

For Valerio, this research represents an opportunity to apply concepts from complex systems physics to a project with tangible societal relevance.

“What excites me most is turning what I learned in complex systems physics into something concrete: a project that helps us understand the Earth’s atmosphere and contribute to issues that matter far beyond academia.”

His work exemplifies how interdisciplinary research can bridge fundamental science and practical applications, using advanced AI methods to address some of the most pressing environmental challenges of our time.

Shaping the Future of Atmospheric Monitoring

As new generations of Earth observation instruments continue to expand our ability to monitor the planet, artificial intelligence is becoming an increasingly valuable tool for extracting knowledge from complex datasets. Projects such as Valerio's demonstrate the potential of AI to enhance atmospheric science, support climate research, and improve our understanding of the systems that sustain life on Earth.

We warmly thank Valerio Actis Dato Casale, as well as all the researchers who shared their expertise and passion throughout our Faces of Research series. Their work highlights the diversity, creativity, and impact of research being carried out across our community.