Abstract: With the pluralistic development of modern agriculture and the rapid progress of information technologies such as big data, distributed storage, cloud computing and artificial intelligence, the agrometeorological services are gradually diversified, and the services are becoming improved refinement, and have better precision and intelligence. The spatial and temporal resolution of service products has been significantly improved, which have developed from weekly, monthly, quarterly and annual scale graphic products to refined gridded daily products. At the same time, the datum is growing explosively, and the demand for mass storage of data and products, rapid interactive analysis, real-time sharing and publishing is becoming more and more urgent. In order to improve the data analysis capabilities which include massive data rapid processing, multi-source data fusion and intelligent analysis, data mining, etc., and realize the sharing of agrometeorological data and products across the country, the National Meteorological Center established Agrometeorological Big Data Sharing Platform with browser/server mode using distributed big data technology (Hadoop), fusion of modern agrometeorological service technology and web architecture based on open source framework, which realized the distributed storage, sharing and management for multi-source agricultural meteorological data, and provided visualization of network data and products. The sharing platform was put into use nationwide in 2021, deployed on national servers to provide online service. The national and 31 provincial users can browse and query more than 200 data and products in 13 categories through the network. The sharing platform can share and exchange data between nation and province, which will form a unified application of agricultural meteorological big data sharing environment.

Key words: Agrometeorological big data sharing platform, Browser/server mode, Distributed storage, Visualization of data, Visualization of products