中科天机高质量气象数据集上线魔搭社区，携手共建科学智能新生态

Core Insights - Zhongke Tianji has partnered with ModelScope to launch a high-quality meteorological dataset, marking the beginning of their ecological cooperation in the field of scientific intelligence [1] - The collaboration aims to promote the integration of AI technology with Earth sciences and enhance the availability of high-resolution meteorological data for developers [1][3] - The dataset will be shared globally in September 2025, addressing the challenges of acquiring high-quality commercial meteorological data [1][3] Group 1: Partnership and Collaboration - Zhongke Tianji's high-quality meteorological dataset is now available on the ModelScope platform for AI4S developers [1] - The partnership signifies a commitment to open data sharing and interdisciplinary innovation in meteorological science [1][3] - ModelScope, established in November 2022, has become China's largest AI open-source community, serving over 20 million users globally [1] Group 2: Dataset Details - The dataset, titled "Zhongke Tianji Kilometer-Level Fusion Data - 2025 North China Historical Dataset," utilizes a global-regional integrated numerical simulation system [3] - It features a resolution of 0.025° (approximately 2.5 kilometers) and includes nine core elements such as radiation, temperature, precipitation, wind speed, humidity, and pressure [3] - The dataset is designed to meet the needs of industries like renewable energy, electricity, water conservancy, and agriculture for detailed meteorological information [3] Group 3: Future Developments - AI4S developers can utilize the dataset alongside Zhongke Shuguang's OneScience platform, which is a comprehensive development tool for scientific computing [4] - OneScience integrates various mainstream meteorological models and provides a 20-year ERA5 reanalysis dataset, facilitating the entire process from data preparation to model training [4] - Zhongke Tianji and ModelScope plan to deepen their collaboration, exploring more high-quality meteorological data and AI model integration applications in various sectors [4]