hourly forecasts 1machine learning 1probabilistic forecasting 1temporal downscaling 1weather prediction 1
From the 1 of 2 linked papers with an AI index.
2 papers
physics.ao-ph2026
HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting
Magnus Sikora Ingstad, Mariana C. A. Clare, Olav Ersland +16
HourGlass is a probabilistic, data‑driven method that downscales 6‑hourly weather forecasts to hourly resolution, preserving small‑scale spatial detail and temporal consistency.
physics.ao-ph2026
Enhancing a high resolution data-driven weather prediction model with surface descriptors
à smund Bakketun, Håvard Homleid Haugen, Jostein Blyverket +2
We study the importance of surface characteristics when forecasting near-surface variables with a data-driven weather prediction model. To target the challenge of predicting small-…