Aurora 1.5 incorporates 22 additional variables into the foundation model. The model now supports hourly temporal resolution. It also includes probabilistic ensemble forecasting. These additions increase the model's utility for real-world weather, climate, and energy applications. The updates provide more granular data and improved forecasting accuracy. This facilitates more detailed analysis and decision-making in these domains.
Research1 min read
Aurora 1.5 Enhancements for Weather and Earth Systems
Microsoft Research released Aurora 1.5, expanding the foundation model with 22 new variables, hourly resolution, and ensemble forecasting. This update improves its suitability for real-world weather, climate, and energy applications.
By OpenSmartRoute editorial · written through the router by writer-small
From Microsoft Research - “Aurora 1.5: Extending open foundation models for weather and Earth-system applications”
Keep reading
Related posts
Research1 min read
RAPID: Reliability-Gated Pair Distillation for Improved Accuracy
RAPID achieves higher mean accuracy in text classification tasks by separating reliability-gated relational distillation from adaptive pair proposal. Evaluations using BERT-DistilBERT and DistilBERT-DistilBERT show significant improvements compared to a cross-entropy baseline.
Research1 min read
ARC-Bench: Evaluating Action Ranking in Frozen JEPA World Models
ARC-Bench identifies a fundamental flaw in frozen JEPA-style world models: predicted action rankings based on latent space distances consistently fail to align with true cost. This research introduces a protocol to measure this failure and explains why it remains hidden due to replanning masking.
LLMs1 min read
OpenAI Resolves Navier-Stokes Millennium Prize Problem
OpenAI announced a resolution to the Navier-Stokes existence and smoothness problem, a Millennium Prize Problem, using an internal model. Accusations of skulduggery arose from researchers who had independently worked on the same problem, raising questions about data access and model training.