4 papers
A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling
Filippo Dainelli, Amirpasha Mozaffari, Marina Castaño +5
As machine learning and artificial intelligence find their way into nearly every aspect of climate, weather, and Earth system modeling, it is worth pausing to consider what our des…
Scalable Deep Learning Framework for Global High-Resolution Land Use Reconstruction
Amirpasha Mozaffari, Marina Castaño, Stefano Materia +7
Uncertainty in the terrestrial carbon cycle remains a major constraint in climate projections, partly driven by the uncertainties affecting the land surface representation and vari…
The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
Amirpasha Mozaffari, Amanda Duarte, Lina Teckentrup +8
AI development's current trajectory risks automating and amplifying the North-South divide in the global climate information system. Frontier models are built almost exclusively in…
JUWELS Booster -- A Supercomputer for Large-Scale AI Research
Stefan Kesselheim, Andreas Herten, Kai Krajsek +15
In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the Jülich Supercomputing Center. With its system architecture, most import…