引用本文:李奇临, 魏麟骁, 吴翀, 鲁小平.基于MDOS的重庆市2015年气象观测数据质量分析[J].西南师范大学学报(自然科学版),2018,43(11):135~140
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基于MDOS的重庆市2015年气象观测数据质量分析
李奇临, 魏麟骁, 吴翀, 鲁小平1,2,3
1. 重庆市气象信息与技术保障中心, 重庆 401147;2.
2. 重庆市气候中心, 重庆 401147;3.
3. 中国气象科学研究院 灾害天气国家重点实验室, 北京 100081
摘要:
实时与历史结合的气象资料业务系统(MDOS)的运行实施,完善了气象资料质量控制体系,调整了气象资料业务布局和流程.本文利用2015年重庆市35个国家台站、1 914个区域自动站的气象常规观测小时数据,按台站划分、观测要素分类,以可用率、可疑率、错误率、缺测率等为指标,基于MDOS对数据进行评估与统计分析.结果表明,重庆市2015年国家站自动观测资料的可用率平均可达99.56%,平均缺测率为0.44%,平均可疑率、平均错误率均在0.01%以下;区域站自动观测资料可用率平均为67.82%,平均缺测率为32.12%,平均错误率为0.06%,平均可疑率为0.01%以下.据此,本研究总结了影响气象要素可用率的主要因素.
关键词:  数据质量  可用率  MDOS
DOI:10.13718/j.cnki.xsxb.2018.11.021
分类号:P429
基金项目:重庆市气象局青年基金项目(QNJJ-201504).
On Quality Statistics and Analysis of Meteorological Observation Data of Chongqing in 2015 Based on MDOS
LI Qi-lin, WEI Lin-xiao, WU Chong, LU Xiao-ping1,2,3
1. Chongqing Meteorological Information And Technical Support Center, Chongqing 401147, China;2.
2. Chongqing Climate Center, Chongqing 401147, China;3.
3. State Key Lab of Severe Weather, Chinese Academy of Meteorological Science, Beijing 100081, China
Abstract:
The implementation of the real-time and historical combined meteorological data service system (MDOS) improved the meteorological data quality control system and adjusted the meteorological data business layout and flow. In this paper, we use the hourly observational data of 35 national stations and 1914 regional stations in Chongqing in 2015. According to the station classification and observation factors, we use the availability rate, suspicious rate, error rate, and missing rate as indicators. Based on MDOS data evaluation and statistical analysis. The results show that the availability rate of automatic observation data of national stations in Chongqing in 2015 averages up to 99.56%, the average rate of missed rate is 0.44%, the average suspicious rate and average error rate are all below 0.01%, and the availability of automatic observation data at regional stations is average. For 67.82%, the average missing rate was 32.12%, the average error rate was 0.06%, and the average suspicious rate was less than 0.01%. Based on this, this paper summarized the main factors affecting the meteorological factor availability rate.
Key words:  data quality  availability  MDOS
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