Design on station level surface meteorological observation data analysis system
Li Xiaolan1,2, Shi Jingchuan3, Yang Yating1, Ren Xingguo4, Liu Jun1, Wen Gang1
1. Sichuan Meteorological Disaster Prevention Technology Centre,Chengdu 610072; 2. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Chengdu 610072; 3. Shapingba Meteorological Bureau of Chongqing,Chongqing 400030; 4. Xichong Meteorological Bureau of Sichuan Province,Xichong 637200
Abstract：Design a station level ground meteorological observation data analysis system,embed association rule mining algorithms to achieve correlation analysis of ground meteorological observation element data,statistically analyze the threshold changes of relevant ground meteorological observation elements,provide an interactive interface through data visualization,and display the query and processing results of relevant ground meteorological observation element data.By using C # programming techniques and defining class methods,we can achieve functions such as reading and parsing ground meteorological observation data,as well as the Apriori algorithm.According to the analysis requirements of station level ground meteorological observation data,carry out data processing and statistics,and use NET Framework provides controls for writing Windows applications,enabling data queries and threshold statistics.The station level ground meteorological observation data analysis system can enable meteorological personnel to quickly grasp the changing trends of ground meteorological observation elements and the correlations between observation elements,improve the application ability of station level meteorological observation personnel in ground meteorological observation data,and provide reference for improving the quality of ground meteorological observation data.
2026, Vol. 43 
