Core Insights - The company Zhongke Tianji Meteorological Technology Co., Ltd. has announced the opening of a high-resolution historical meteorological dataset, marking a significant advancement in China's commercial meteorological services [1][3] - This dataset is based on AI technology that deeply integrates multiple "Tianji models," resulting in improved accuracy, continuity, and spatial resolution compared to traditional single data sources [3] Industry Applications - The historical dataset has substantial value for meteorological research and interdisciplinary studies, meeting the statistical needs for large sample sizes and addressing the limitations of coarse training data for meteorological AI models [3] - In the energy sector, companies can optimize wind and solar power station site selection and installation strategies using historical wind speed and sunlight data [3] - The agricultural sector can utilize historical sunlight and precipitation records to scientifically plan crop layouts and sowing cycles [3] - Traffic management can leverage historical precipitation and dust storm information for resource allocation and emergency planning [3] - The insurance industry can use historical disaster data to accurately determine rates and develop insurance products that align with risk characteristics, enhancing risk management [3] Future Developments - The company plans to further open high-resolution real-time meteorological data in November, expanding the breadth and depth of data sharing [4] - The establishment of a "real-time + historical" meteorological data system is expected to evolve commercial meteorological services from mere information provision to a comprehensive data ecosystem that supports research, industry decision-making, and risk management [4]