数码设计Issue(8)：81-83,3.
气象数据质控方法的现状分析及思考
Analysis of the Current Status of Meteorological Data Quality Control Methods and Reflections
摘要
Abstract
In recent years,global warming has led to frequent occurrence of extreme weather,which has a great impact on various fields.The accuracy and consistency of meteorological data have become the focus of attention,and inaccurate data may affect public decision-making and production activities.Traditional quality control strategies include climatological boundary value check,temporal continuity test,internal consistency test and spatial continuity test.With the advent of the big data era,advanced QC strategies based on data mining have been widely studied,such as machine learning,clustering algorithms,regression models and convolutional neural networks.Currently,techniques such as deep neural networks and convolutional neural networks have been successfully applied by the European Center for Medium-Range Weather Forecasting and the U.S.Weather Company,among others.However,user-oriented QC programs are still deficient and need to further improve user experience and service strategies.Therefore,in-depth research on user feedback and improving the quality of weather services are key to enhancing branded weather services.This research framework provides useful guidance for deepening the field of weather data QC.关键词
气象数据/质量控制/机器学习/气象数据/气象站Key words
weather data/quality control/machine learning/meteorological data/weather stations分类
信息技术与安全科学引用本文复制引用
刘晨,梁乐宁,赵倩,鲁礼文,辛宏伟..气象数据质控方法的现状分析及思考[J].数码设计,2024,(8):81-83,3.基金项目
华风集团青年发展基金创新研究项目《基于用户反馈提升服务体验的数据质控策略研究与应用》(项目编号:QNFZ-2022007). （项目编号:QNFZ-2022007）
