2 papers
physics.ao-ph2026
AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability
Jacob B. Landsberg, Matthew Newman, Elizabeth A. Barnes
Subseasonal-to-seasonal forecasting is crucial for public health, disaster preparedness, and agriculture, and yet it remains a particularly challenging timescale to predict. We exp…
physics.ao-ph2025
Forecasting the Future with Yesterday's Climate: Temperature Bias in AI Weather and Climate Models
Jacob B. Landsberg, Elizabeth A. Barnes
AI-based climate and weather models have rapidly gained popularity, providing faster forecasts with skill that can match or even surpass that of traditional dynamical models. Despi…