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From the 1 of 19 linked papers with an AI index.

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20242026
most citedScaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet

2 citations · 3 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting

Jean Kossaifi, Nikola Kovachki, Morteza Mardani +15

The recent revolution in data-driven methods for weather forecasting has lead to a fragmented landscape of complex, bespoke architectures and training strategies, obscuring the fun…

cs.LG2025

Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models

Scott A. Martin, Noah Brenowitz, Dale Durran +1

Accurate long-range weather forecasting remains a major challenge for AI models, both because errors accumulate over autoregressive rollouts and because reanalysis datasets used fo…

cs.LG2025

Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics

Salva Rühling Cachay, Miika Aittala, Karsten Kreis +4

Diffusion models are a powerful tool for probabilistic forecasting, yet most applications in high-dimensional complex systems predict future states individually. This approach stru…

cs.LG2025

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators

Ankur Mahesh, William Collins, Boris Bonev +12

In Part I, we created an ensemble based on Spherical Fourier Neural Operators. As initial condition perturbations, we used bred vectors, and as model perturbations, we used multipl…

cs.LG2025

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales

Peter Manshausen, Yair Cohen, Peter Harrington +7

Data assimilation of observational data into full atmospheric states is essential for weather forecast model initialization. Recently, methods for deep generative data assimilation…

cs.LG2024

Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling

Morteza Mardani, Noah Brenowitz, Yair Cohen +10

The state of the art for physical hazard prediction from weather and climate requires expensive km-scale numerical simulations driven by coarser resolution global inputs. Here, a g…