数据共享破解商业气象发展难题

Core Insights - The "High-Resolution Meteorological Data Sharing Plan" launched by Zhongke Tianji aims to provide global meteorological data with a resolution of 12 kilometers and 3 kilometers for China, outputting data every hour for 15 days, addressing the challenges of high-quality commercial meteorological data acquisition and high costs [1] Group 1: Data and Technology - The data is sourced from Zhongke Tianji's self-developed "Global Regional Integrated Weather Numerical Simulation System," which utilizes the "Super Dynamics SD3" algorithm and the AI supercluster computing power from Zhongke Shuguang [1] - The AI supercluster is designed with an open architecture, featuring ultra-high performance, efficiency, reliability, and scalability, capable of supporting trillion-parameter model training and multi-modal model development [1] Group 2: Industry Applications - In the renewable energy sector, the plan provides meteorological data support for wind farms and photovoltaic power stations, enhancing energy generation efficiency and asset value through 46-day long-term simulations of wind speed and irradiance [2] - In the low-altitude economy, the plan offers detailed simulations and vertical atmospheric data below 3 kilometers, improving operational efficiency for low-altitude commercial applications [2] - In the transportation sector, simulations of severe weather conditions can assist in optimizing logistics for road, rail, and port operations, reducing energy consumption and operational costs [2] Group 3: Scientific Contribution - The data shared by Zhongke Tianji is recognized for its scientific significance, contributing to both scientific research and business applications, with a call for more enterprises to recognize the value of widespread data utilization [2]