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 ›› 2022, Vol. 38 ›› Issue (2): 97-104.doi: 10.3969/j.issn.1673-503X.2022.02.012

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2019年辽宁及内蒙古冻土自动观测及其分钟数据的时间一致性检测

刘志刚1(),吴东丽2,邵长亮2,*(),吴丽侠1,胡树贞2,宋树礼3   

  1. 1. 秦皇岛市气象局, 河北 秦皇岛 066000
    2. 中国气象局气象探测中心, 北京 100081
    3. 莒县气象局, 山东 莒县 276500
  • 收稿日期:2020-11-18 出版日期:2022-04-28 发布日期:2022-04-24
  • 通讯作者: 邵长亮 E-mail:99132907@qq.com;shaocl@cma.gov.cn
  • 作者简介:刘志刚, 男, 1980年生, 高级工程师, 主要从事综合气象观测研究, E-mail: 99132907@qq.com
  • 基金资助:
    中国气象局农业气象保障与应用技术重点开放实验室开放研究基金(AMF201904)

Automatic observation of frozen soil and its time consistency detection of minute data in Liaoning provice and Inner Mongolia Autonomous region in 2019

Zhi-gang LIU1(),Dong-li WU2,Chang-liang SHAO2,*(),Li-xia WU1,Shu-zhen HU2,Shu-li SONG3   

  1. 1. Qinhuangdao Meteorological Service, Qinhuangdao 066000, China
    2. Meteorological Observation Centre, China Meteorological Administration, Beijing 100081, China
    3. Juxian Meteorological Service, Juxian 276500, China
  • Received:2020-11-18 Online:2022-04-28 Published:2022-04-24
  • Contact: Chang-liang SHAO E-mail:99132907@qq.com;shaocl@cma.gov.cn

摘要:

在辽宁省喀左站、辽阳站和内蒙古满洲里站统一安装5种型号冻土自动观测仪进行外场试验,采集2019年3—6月逐分钟冻土数据,采用纵横极值集合法,对采样数据进行时间一致性质量控制,与3站的人工定时数据进行对比分析。根据同期人工观测数据,判断冻土自动观测异常可疑数据和异常数据阈值,分别为5 cm和11 cm,据此开展验证。结果表明: 冻土自动观测仪分钟数据完整率为99.59%;冻土自动观测仪平均冻土层数与人工观测基本一致,符合冻土业务数据分布特性; 5种类型冻土自动观测仪均能较好地反映不同气候区域的冻土的分钟数据变化,冻土自动观测分钟数据质量控制阈值合理可靠。

关键词: 冻土自动观测, 数据质量控制, 时间一致性检查, 纵横极值集合法

Abstract:

Five types of frozen soil automatic observational instruments were installed for field experiment at Kazuo station, Liaoyang station in Liaoning province and Manzhouli station in Inner Mongolia Autonomous region.The minute frozen soil data were collected from March to June 2019.These dataset were processed with the control of the time consistency and quality adopting the vertical and horizontal extreme value set method and compared with the manual timing data of the three stations.According to the manual observation data in the same period, the thresholds of abnormal suspicious data and abnormal data of automatic observation of frozen soil were recognized as 5 cm and 11 cm respectively, and the verification was carried out accordingly.The results show that the integrity rate of minute data of frozen soil automatic observation instrument is 99.59%.The average number of frozen soil layers observed with the automatic instrument is consistent with the manual observation, which is in line with the distribution characteristics of frozen soil data applied in business.The five types of frozen soil automatic observation instruments can better reflect the minute changes of frozen soil data in different climatic regions, and the quality control threshold of minute data from frozen soil automatic observation is reasonable and reliable.

Key words: Frozen soil automatic observation, Data quality control, Time consistency check, Vertical and horizontal extreme value set method

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