numerical weather prediction
PulseAugur coverage of numerical weather prediction — every cluster mentioning numerical weather prediction across labs, papers, and developer communities, ranked by signal.
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Machine learning enhances uncertainty quantification in data assimilation
A new research paper explores the application of conformal prediction (CP), a machine learning technique, for quantifying uncertainty in data assimilation, particularly within numerical weather prediction. The study eva…
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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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SIMBA framework enhances weather prediction with bidirectional radiance modeling · 2 sources tracked
Researchers have developed SIMBA, a novel bidirectional framework for modeling hyperspectral infrared radiances from the FY-4A GIIRS instrument. This framework uniquely integrates atmospheric profile retrieval and radia…
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Neural fields improve weather prediction data assimilation
Researchers have developed a novel neural field-based approach to Four-Dimensional Variational Data Assimilation (4DVAR), a critical but computationally intensive process in numerical weather prediction. This new method…
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Extreme Weather Bench: New AI framework aids high-impact weather forecasting
Researchers have introduced Extreme Weather Bench (EWB), a new open-source benchmark suite designed to evaluate AI and Numerical Weather Prediction (NWP) models. EWB provides a standardized set of case studies, observat…
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PINN-Cast transformer uses Neural ODEs and physics loss for weather forecasting
Researchers have developed PINN-Cast, a novel continuous-depth transformer model for short-term weather forecasting. This model integrates Neural Ordinary Differential Equations (Neural ODEs) within its encoder blocks t…