北京大学学报(自然科学版)

双经纬仪测风反演方法的分析

张云涛1,蒋浩宇2,刘树华1,3,4   

  1. 1.北京大学物理学院大气科学系,北京100871;2.苏州热工研究院有限公司,苏州215004;3.国家气候中心国家气象局气候研究开放实验室,北京100081;4.中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029;,E-mail:lshuhua@pku.edu.cn
  • 收稿日期:2008-03-20 出版日期:2009-03-20 发布日期:2009-03-20

Analysis to Methods of Double-Theodolite Anemometry

ZHANG Yuntao1, JIANG Haoyu2, LIU Shuhua1,3,4   

  1. 1. Department of Atmospheric Science, School of Physics, Peking University, Beijing 100871; 2. Suzhou Nuclear Power Plant Institute SNPI, Suzhou 215004; 3. Laboratory of Climate Research, National Climatic Center, China Meteorological Bureau, Beijing 100081; 4. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; , E-mail: lshuhua@pku.edu.cn
  • Received:2008-03-20 Online:2009-03-20 Published:2009-03-20

摘要: 从大气探空实验的特征出发,说明了使用双经纬仪测量数据反演探空气球空间坐标的过程中,人为操作误差远比仪器测量误差造成的影响严重。在此基础上总结了反演双经纬仪测量数据各种方法的优缺点,并分析了各反演方法在最大可信误差要求下的适用范围。分析得出各方法均只能适用于部分空间角度范围,因而提出了一种综合各基础方法优点而得到的联合反演方法,该方法的反演结果可在最大的空间角度范围内能满足最大可信误差的要求。最后通过都斛地区2007年8月16日10时的探空数据反演分析,说明了联合反演方法在反演精度和反演误差估算方面相对于经典的基线测风法的优越性。

关键词: 双经纬仪, 大气探测实验, 测量误差, 反演精度

Abstract: Based on the characteristics of atmospheric field observation, the influence of man-made operating error and instrument error is compared, and conclusion is drawn that operating error predominates in this process. Then frequently-used and available methods for processing data of double-theodolite anemometry are presented, and their applicability is analyzed. However, none of those methods can be suitable for use unconditionally while limited maximum error is given. Consequently, a joint method based on the advantages of all available methods is introduced, which can be applied to most comprehensive and extensive conditions. Finally, compared with base-line anemometry by using the observation data from Duhu at 10:00 on 16 August, 2007, and the advantage of the joint method is displayed.

Key words: double-treodolite anemometry, atmospheric observation, measurement error, precision

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