GraphCast
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- 2026-06-02 research_milestone A new paper demonstrates machine learning models can achieve skillful deterministic weather forecasts beyond 30 days. source
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AI weather models lag physics-based approaches for extreme events
AI weather models like GraphCast, PanguWeather, and Fuxi are showing promise in predicting daily weather conditions, surpassing traditional physics-based models in some instances. However, a recent study indicates these…
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Deep Neural Networks Show Mixed Results in Scientific Data Compression
A new research paper explores the use of deep neural networks for compressing large scientific datasets, specifically within the climate domain. The study integrated models like VAEformer, GraphCast, and Aurora into a c…
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Weather model research reveals scaling laws favoring wider architectures
A new research paper explores the scaling laws of data-driven global weather models, analyzing how performance relates to model size, dataset size, and compute budget. The study found that weather models favor wider arc…
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GraphCast AI shows mixed results in Brazilian weather forecasts
A new study evaluated the performance of Google's GraphCast AI model for medium-range weather forecasting in Brazil. The research found that GraphCast's effectiveness varies depending on the season and specific climatic…
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Machine learning forecasts weather beyond 30 days
Researchers have demonstrated that machine learning models can extend deterministic weather forecast skill beyond the traditional two-week limit. By optimizing initial conditions for the GraphCast model, they achieved a…
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New AI model PEAR uses equal-area grid for improved weather forecasting
Researchers have developed PEAR, a new transformer-based weather forecasting model that operates directly on the Hierarchical Equal Area iso-Latitude Pixelization (HEALPix) grid. This approach addresses limitations of p…
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AirCast-SR: Foundation Model for Kilometer-Scale Weather Super-Resolution
Researchers have developed AirCast-SR, a foundation model designed for kilometer-scale atmospheric super-resolution. This model can downscale global AI weather forecasts from approximately 28 km to 1 km resolution, gene…
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AI weather models may simulate physical laws, study suggests
Researchers have published a paper exploring the underlying physical principles that AI weather models might be simulating. The study suggests that despite architectural differences, various AI models represent atmosphe…
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AI models like Graphcast and Pangu Weather challenge traditional weather forecasting
AI models such as Graphcast, Aurora, and Pangu Weather are emerging as alternatives to traditional weather forecasting methods. These new systems aim to provide faster and potentially more accurate predictions than conv…
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AI weather models show promise for extreme event prediction with uncertainty quantification
A new study published on arXiv investigates the effectiveness of AI-based weather models in predicting extreme events by quantifying their uncertainty. Researchers found that while models like FuXi, GraphCast, and SFNO …
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AI weather forecasts may miss rare, extreme events, experts warn
While AI models are rapidly improving weather forecasting accuracy and efficiency, experts express concern about their reliability in predicting unprecedented "gray swan" events. These rare but plausible extremes, exace…