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Climate
2026
Visualising
Climate
2026
Talks · Science

#34 From Climate Data to Visual Narratives: Scientific Visualisation with Blender at the BSC Earth Sciences Department

Author(s): Oriol Tintó, Lorena Gallardo, Rosa Rodríguez

Speaker Biographies

Oriol Tintó Prims

Oriol holds a Ph.D. in Informatics with postdoctoral experience in Germany. He specializes in High Performance Computing applied to Earth Science models and scientific visualization. He is an AI4S grant recipient and works in the High Performance 4 Earth group at the Barcelona Supercomputing Center.

Lorena Gallardo

Lorena holds a Bachelor’s in Chemistry, a Master’s in Theoretical Chemistry, and is studying a Bachelor in Philosophy. She previously conducted research developing software for macromolecular X-ray crystallography at CSIC. Currently, she works as a Visualization Developer in the Computational Earth Sciences group at the Barcelona Supercomputing Center.

Rosa Rodríguez

Rosa is the Scientific Communications Officer in Earth Sciences at BSC-CNS, with extensive experience in public outreach, education, translation, and communication research. She holds a Ph.D. in Astrophysics, bring over a decade of research experience, and teaches physics at the Open University of Catalonia.

Scientific visualisation is becoming an essential bridge between complex Earth system data and the general public, stakeholders, and decision-makers who need to understand and act upon it. This talk will present a portfolio of climate and environmental visualisations developed with Blender at the Earth Sciences Department of the Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS). The presentation will show how high-resolution simulations, projections, and environmental datasets can be transformed into scientifically grounded visual narratives without losing rigour or traceability.

Examples will range from visualisations produced in the framework of the European Commission’s Destination Earth initiative—particularly its Climate Change Adaptation Digital Twin—where visualisation can help explore climate information in intuitive ways, such as comparing extreme events in the past, in the present, and under warmer future conditions, to air-quality visualisations developed within UrbanAIR, a European project working towards an urban air-quality digital twin for Barcelona and other cities.

The talk will also include additional examples related to climate change, atmospheric pollution, climate-sensitive infectious diseases, and the monitoring and quantification of greenhouse gas emissions.

In addition, the talk will show how 3D scientific visualisation can be extended beyond static outputs to support interactive, public-facing formats that make complex climate information easier for non-specialist audiences to engage with.

By sharing methods, examples, and lessons learned, the presentation will reflect on how Blender-based workflows can make climate data more accessible, meaningful, and actionable across scientific, institutional, and societal contexts.