基于RIA的气象自动站异常数据分析系统模型

摘要

For observation system of regional meteorological auto-stations, the missing or wrong measurement of meteorological elements will affect the accuracy of weather forecast. We present an analysis system model for anomaly data of meteorological auto-station. It utilises the inspection and analysis method for boundary and extremum of climatology, carries out the real-time counting, ranking and alarming on the anomaly data, and improves the material quality and management level of regional auto-stations observation. Business operation shows that the system model is good in responding speed, compatibility and convenience of use, meets the quality surveillance demand of related departments on material observation in area auto-stations, improves the quality assurance level of observed data, and reduces the occurrence rate of missing and wrong measurement in regional auto-stations.%气象区域自动站观测系统由于存在缺测、误测气象要素的问题,影响到气象预报的准确性.提出一种气象自动站异常数据分析系统模型,利用气候学界限与极值检查分析方法,将异常数据进行实时统计、排名和告警,提高区域自动站观测资料质量和管理水平.业务运行表明,系统响应速度、兼容性和使用便捷性较好,满足相关部门对区域自动站观测资料的质量监管需求,提高观测数据质量保障水平,减少区域自动站观测缺测、误测发生.