IFS ENS
PulseAugur coverage of IFS ENS — every cluster mentioning IFS ENS across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Machine learning weather models misrepresent kinetic energy transfer, study finds
A new study published on arXiv analyzes four probabilistic machine learning weather prediction models: NeuralGCM-ENS, FourCastNet 3, AIFS-ENS, and GenCast. The research compares their kinetic energy (KE) spectra and tra…
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New method extracts weather model uncertainty without retraining
Researchers have developed a new method called stochastically perturbed weights (SPW) to extract uncertainty estimates from deterministic machine-learning weather models without retraining. This technique involves pertu…
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Otter Weather AI model offers efficient, skillful medium-range forecasting
Researchers have developed Otter Weather, a new AI model for medium-range weather forecasting that aims to be more efficient and accessible than current state-of-the-art methods. The model significantly improves the ski…
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AI weather forecasters achieve efficiency gains with new models
Two new research papers propose more efficient AI models for weather forecasting. AdaWeather adaptively combines multiple probabilistic forecasts, achieving logarithmic regret compared to the best static mixture of expe…
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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 …