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气象预报工具赋能多元场景(新春走基层)
Ren Min Ri Bao· 2026-02-25 22:18
Core Insights - The article discusses the development of artificial intelligence forecasting models by the Xiong'an Meteorological AI Innovation Research Institute, aimed at enhancing the safety and efficiency of drone logistics delivery in urban environments [1][2]. Group 1: AI Forecasting Models - The Xiong'an Institute has developed a weather forecasting model called "Wind Clear," which can generate global weather forecasts with a 25 km resolution, updated every 6 hours for the next 15 days [1]. - A climate prediction model named "Wind Smooth" provides forecasts for climate anomalies over weeks to months [1]. - The meteorological science model "Wind Source" enables end-to-end forecasting driven directly by observational data [1]. Group 2: Applications and Future Plans - The AI meteorological models have already been applied in various scenarios, including new energy power forecasting, flood control scheduling, and aviation support [2]. - The institute aims to continuously improve the precision of multi-scenario forecasts and expand the application of AI meteorological models across more industries [2].