AI RESEARCH
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
arXiv CS.AI
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ArXi:2510.09734v2 Announce Type: replace-cross Weather forecasting is a fundamental task in spatiotemporal data analysis, with broad applications across a wide range of domains. Existing data-driven forecasting methods typically model atmospheric dynamics over a fixed short time interval, e.g., 6 hours, and rely on naive autoregression-based rollout for long-term forecasting, e.g., 5 days.