摘要
通过统计新型自动气象站相关设备监测点运行状态信息及同时段地温、气压、气温、湿度、风、降水6要素数据质量的正常或异常频率,对观测要素数据与设备状态信息做了相关性分析,并针对各要素统计了相关状态监测点的命中率、误警率等指标。结果表明通信状态、设备自检状态及传感器3个监测点运行正常时与观测数据间的一致性较好,正常命中率高于96%,而采集器、通信接口、计数器、AD、主板温度等部件状态异常时与观测数据间一致性较差,异常命中率低于3%。利用国内新型自动站运行状态文件来辅助判断相关观测要素质量,虽然在应用中还存在一定问题和需改进方向,但有利于改进数据质量控制方法、提高数据的真实性和可用性。
Based on the statistics of normal and abnormal frequencies of the monitoring status and data quality of ground temperature,pressure,temperature,humidity,wind and precipitation from new-type automatic meteorological stations,the correlation analysis between observation data and equipment status information is conducted,and the accuracy rate and error rate are calculated in this paper.The results show that there is a good consistency between observational data and communication status,equipment self-test status and sensors,with normal-accuracy rate exceeding 96%,while the consistency between observational data and the collector,communication interface,counter,AD and motherboard temperature,etc.,is poor,with abnormal-accuracy rate less than 3%.The operational status information of domestic new-type AWSs is utilized for the quality judgment of observation elements for the first time.Although there are still certain problems in application needing improvement,this study is of significance for improving the data quality control methods and promoting the authenticity and availability of AWS’s data.
出处
《气象科技》
北大核心
2017年第6期980-987,共8页
Meteorological Science and Technology
关键词
自动站
运行状态
质量判断
相关性分析
AWS
operational status
quality judgment
correlation analysis
