4 citations · 4 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2026
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…
physics.ao-ph2023★ 4 cited
Artificial Intelligence for Prediction of Climate Extremes: State of the art, challenges and future perspectives
Stefano Materia, Lluís Palma García, Chiem van Straaten +7
Scientific and technological advances in numerical modelling have improved the quality of climate predictions over recent decades, but predictive skill remains limited in many aspe…