40 citations · 40 across the 3 of their papers we have counts for
3 papers · 1 filter
Interpretability of AI weather models via intermediate decoding
Matthias Beylich, Kirsten I. Tempest, Tobias Selz +1
AI weather prediction models are often regarded as black boxes. Despite their impressive skill, there is little understanding of how the input data is processed during inference to…
The physics of AI weather models
George Craig, Tobias Selz, Matthias Beylich +1
Could it be that AI weather models are solving physical equations, although they may not be the equations used by conventional NWP models? We compute correlations of forecast skill…
Mechanistic Interpretability Tool for AI Weather Models
Kirsten I. Tempest, Matthias Beylich, George C. Craig
Artificial Intelligence (AI) weather models are improving rapidly, and their forecasts are already competitive with long-established traditional Numerical Weather Prediction (NWP).…