主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2018, Vol. 34 ›› Issue (4): 36-44.doi: 10.3969/j.issn.1673-503X.2018.04.005

• 论文 • 上一篇    下一篇

逐时本站气压数据分阶段空间一致性检查方法研究

闫荞荞  王海军  严靖   

  1. 湖北省气象信息与技术保障中心,湖北 武汉 430074
  • 收稿日期:2017-05-04 修回日期:2017-07-10 出版日期:2018-08-31 发布日期:2018-09-03

Staged spatial consistency check method in hourly station pressure

YAN Qiao-qiao   WANG Hai-jun   YAN Jing   

  1. Hubei Meteorological Information and Technology Support Center, Wuhan 430074, China
  • Received:2017-05-04 Revised:2017-07-10 Online:2018-08-31 Published:2018-09-03

摘要:

基于气压和海拔高度的相关关系,将本站气压订正到气压表海拔高度序列的中位数高度,本文设计了一种由粗粒度质控和细粒度质控组成的分阶段逐小时本站气压空间一致性检查方法。将海平面气压作为参考要素,通过分析气压空间变率,讨论了将中位数高度订正气压用于本站气压空间一致性检查的合理性和适用性,且引入人工植入误差定量分析方法的疑误检测能力,并利用2015年中国2420个国家级自动气象站观测资料对设计的空间一致性检查方法进行检验。结果表明:中位数高度订正气压可以用于本站气压空间一致性检查,其空间变率变化稳定且小于海平面气压,高海拔地区尤为明显,对小偏差疑误较敏感;四季引入不相同植入误差时,中位数高度订正气压的疑误检出率均高于海平面气压,误差越小提升比率越大,植入误差为2.5 hPa时不同季节疑误检出率均超过90.00%,夏季疑误检出率最高,达98.00%;逐时本站气压分阶段空间一致性检查方法可以有效降低算法的时间复杂度,运行时效可以满足实时业务需求,亦可有效检出疑误数据,检出率约为0.01%。

关键词: 本站气压, 质量控制, 空间一致性, 订正, 空间变率, 植入误差

Abstract:

Based on the correlative relationship between  pressure and altitude, the station pressure is corrected to the median height of pressure altitudes, and then a staged spatial consistency check method for hourly station pressure was proposed, including the coarse grain quality and fine grain quality controls. Taking sea level pressure as a reference element, the rationality and applicability were discussed. The median pressure was applied to the station pressure spatial consistency check by analyzing the spatial variability of pressure. The artificial implantation error was introduced to make a quantitative analysis for the error detecting ability. This method was evaluated using the data from 2420 national automatic weather stations in China in 2015. The results show that the median pressure can be used to carry out the station pressure spatial consistency check. It is more stable and its spatial variability is less than the sea level pressure, especially in high altitude areas. However, it is more sensitive to the small error. The error detection rate of median pressure is greater than that of the sea level pressure when the different implantation errors are applied in different seasons. The smaller the error is, the higher the growth rate is. When the error detection rate is above 90%, the implantation error is 2.5 hPa in different seasons. The maximum value appears in summer with 98%. The staged quality control strategy effectively reduces the time complexity of the algorithm. The execution time meets the requirements of real-time operation. Meanwhile, this method can effectively detect the error data. The detection rate is about 0.01%.

Key words: Hourly station pressure, Quality control, Spatial consistency check, Pressure Correction, Spatial variability, Implantation error

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