activity
20152026
most citedNeural General Circulation Models for Weather and Climate

408 citations · 475 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

WeatherNext 3: Increasing resolution and performance of global weather models with raw observations

Stephan Rasp, Boris Babenko, Dominic Masters +22

State-of-the-art AI weather models have shown impressive medium-range forecast skill and computational efficiency, but suffer two key shortcomings: their forecasts have lower spati…

cs.LG2025★ 3 cited

Skillful joint probabilistic weather forecasting from marginals

Ferran Alet, Ilan Price, Andrew El-Kadi +8

Machine learning (ML)-based weather models have rapidly risen to prominence due to their greater accuracy and speed than traditional forecasts based on numerical weather prediction…

cs.LG2023★ 63 cited

GenCast: Diffusion-based ensemble forecasting for medium-range weather

Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet +9

Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous wea…

physics.ao-ph2023★ 408 cited

Neural General Circulation Models for Weather and Climate

Dmitrii Kochkov, Janni Yuval, Ian Langmore +13

General circulation models (GCMs) are the foundation of weather and climate prediction. GCMs are physics-based simulators which combine a numerical solver for large-scale dynamics…

physics.atom-ph2015★ 1 cited

The response of a neutral atom to a strong laser field probed by transient absorption near the ionisation threshold

E. R. Simpson, A. Sanchez-Gonzalez, D. R. Austin +9

We present transient absorption spectra of an extreme ultraviolet attosecond pulse train in helium dressed by an 800 nm laser field with intensity ranging from W/c…