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Design and Implementation of a Single Map of Meteorological Basic Information
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摘要: 气象基础信息一张图作为气象数据资源与行业间数据融合的应用示范, 通过构建时空联动的气象大数据应用基础, 解决多源气象数据融合应用服务问题。气象基础信息一张图基于高分辨率气象网格数据空间化处理、长序列海量网格数据任意时空范围检索以及气象数据与三维地形融合服务3项关键技术, 实现多源异构时空数据的统一接入、处理、存储、管理和服务。气象基础信息一张图整合基础地理、自然资源、生态环境、社会经济、气象五大数据资源, 面向不同气象应用场景, 通过动态组合构建专题服务, 实现多源数据快速服务和高效应用。气象基础信息一张图为2022年北京冬奥会及冬残奥会的圆满举办等国家重大活动、2021年郑州“7·20”特大暴雨气象预报复盘服务以及气象数据的社会化服务共享提供应用服务保障, 在服务“生命安全、生产发展、生活富裕、生态良好”方面提供有效支撑。Abstract: A single map of meteorological basic information is a demonstration of the integration of meteorological data resources and industry data. By establishing a spatiotemporal linkage for meteorological big data applications, it solves the challenge of integrating multi-source meteorological data for application services. The information map enables unified access, processing, storage, and management of multi-source heterogeneous spatiotemporal data through three key technologies: Spatial processing of high-resolution meteorological grid data, retrieval of long sequences of massive grid data within arbitrary spatiotemporal ranges, and fusion services for meteorological data and three-dimensional terrain. It provides users with refined data acquisition services. The information map is created using the meteorological big data cloud platform. The virtual server resources, spatial database resources, and meteorological data resources utilized are all sourced from the meteorological big data cloud platform. The information map offers functions such as spatial analysis of multi-source data, layer management, online mapping, and scene application. It extends the data service mode of the meteorological big data cloud platform. For the first time in the meteorological industry, the Beidou grid location code technology has been utilized to create a map of fundamental meteorological information. Through spatial dimensionality reduction, two-dimensional longitude and latitude values are transformed into one-dimensional Beidou grid location codes. Through algorithms, rapid spatial positioning is achieved, addressing the issue of low efficiency in creating spatial indexes for massive data. The information map integrates five categories of data resources: Basic geography, natural resources, ecological environment, socio-economic, and meteorology. It can dynamically combine and construct thematic services based on various meteorological application scenarios, achieving fast and efficient multi-source data services and applications. A map of meteorological basic information provides business support through layer and geographic spatial retrieval services for the new generation of short-term and imminent forecasting and early warning systems. This promotes the development of business systems and ensures the efficient and stable operation of meteorological services. A single map of meteorological basic information supports spatial query services for public meteorological reality mini-programs and China Meteorological Data Network. It expands channels and methods for the public to access meteorological information through public meteorological services. A single map of meteorological basic information ensures the provision of customized grid data temporal query services for major events, achieving integrated meteorological data query services for historical, current, and forecasted events. Accurate meteorological data play a crucial role in ensuring the success of major national events, such as Beijing Winter Olympic Games and Winter Paralympic Games in 2022, as well as in providing essential weather forecasts for events like "7·20" extremely heavy rainstorm of Zhengzhou in 2021. Additionally, meteorological data is shared for social service purposes. A map of meteorological basic information provides effective support in ensuring "life safety, production development, a prosperous life, and a healthy ecology".
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