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 ›› 2017, Vol. 33 ›› Issue (6): 96-104.doi: 10.3969/j.issn.1673-503X.2017.06.013

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基于区域历史回归法的辽宁地区一次人工增雨作业效果检验

翟晴飞1, 敖雪2, 袁健1, 单楠1, 刘继3, 曹剑秋1   

  1. 1. 辽宁省人工影响天气办公室, 辽宁 沈阳 110166;
    2. 沈阳区域气候中心, 辽宁 沈阳 110166;
    3. 阜新市气象局, 辽宁 阜新 123000
  • 收稿日期:2017-03-02 修回日期:2017-05-19 出版日期:2017-12-30 发布日期:2017-12-30
  • 作者简介:翟晴飞,男,1985年生,工程师,主要从事云降水物理和人工影响天气研究,E-mail:15840322495@163.com。
  • 基金资助:
    辽宁省气象局科研课题"风对火箭人工增雨安全射界图的订正研究"(201515)和辽宁省气象局科研课题"辽宁省海岸带大风时空分布特征和高发区防御措施研究"(201518)共同资助。

Effective test of an artificial precipitation enhancement operation process in Liaoning province based on a regional historical regressive statistical method

ZHAI Qing-fei1, AO Xue2, YUAN Jian1, SHAN Nan1, LIU Ji3, CAO Jian-qiu1   

  1. 1. Liaoning Weather Modification Office, Shenyang 110166, China;
    2. Shenyang Regional Climate Center, Shenyang 110166, China;
    3. Fuxin Meteorological Service, Fuxin 123000, China
  • Received:2017-03-02 Revised:2017-05-19 Online:2017-12-30 Published:2017-12-30

摘要: 利用区域历史回归统计分析方法,选取1961—1990年辽宁省国家级地面气象站的日降水量资料作为历史样本,以铁岭地区作为对比区对2016年8月31日阜新地区一次人工增雨作业过程进行效果检验。结果表明:结合探空、雷达、数值模式资料和作业参数分析可知,2016年8月31日阜新地区人工增雨作业过程符合人工增雨作业的合理性要求,绝对增雨量为20.06 mm,相对增雨率为119.43%,通过了0.01水平的显著性检验。与国内其他省份应用相同方法进行人工增雨效果检验的个例对比发现,统计变量的选取对人工增雨作业的效果检验较重要。

关键词: 人工增雨, 区域历史回归法, 绝对增雨量, 相对增雨率

Abstract: Using a regional historical regressive statistical method and based on daily precipitation data from national surface meteorological stations in Liaoning province from 1961 to 1990,the effect of an artificial precipitation enhancement process in Fuxin on August 31,2016,was validated using Tieling as a control area.The results showed that throughout the comprehensive analysis of the data from sounding,radar,and numerical model as well as operating parameters,this artificial precipitation enhancement process meets the requirement of rationality.The increase in absolute rainfall is 20.06 mm,and the increase in relative rainfall rate is 119.43% through the significance testing with the 0.01 significant test level.In comparison with previous studies using the same method in other provinces in China,we find that the choice of statistical variables has great effects on the validation results.

Key words: Artificial precipitation, Regional historical regressive method, Absolute rainfall increase, Relative rainfall rate

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