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 ›› 2016, Vol. 32 ›› Issue (2): 37-43.doi: 10.11927/j.issn.1673-503X.2016.02.005

• 论文 • 上一篇    下一篇

辽宁省秋季降水对前期海洋和大气信号的遥响应

房一禾1,2, 龚强1, 赵连伟1, 王小桃1, 周晓宇1, 崔妍1, 任川3, 王当4, 温日红5   

  1. 1. 沈阳区域气候中心, 辽宁 沈阳 110166;
    2. 南京信息工程大学大气科学学院, 江苏 南京 210044;
    3. 辽宁省气象信息中心, 辽宁 沈阳 110166;
    4. 中国气象局气象干部培训学院辽宁分院, 辽宁 沈阳 110166;
    5. 中国气象局沈阳大气环境研究所, 辽宁 沈阳 110166
  • 收稿日期:2014-11-14 修回日期:2015-12-16 出版日期:2016-04-30 发布日期:2016-04-30
  • 通讯作者: 温日红,E-mail:49142861@qq.com。 E-mail:49142861@qq.com
  • 作者简介:房一禾,男,1986年生,工程师,主要从事气候预测业务,E-mail:49954570@qq.com。
  • 基金资助:
    公益性行业(气象)科研专项"环渤海区域强风灾害气候特征与影响评估技术研究"(GYHY201306034)资助。

Remote response of autumn precipitation to previous oceanic and atmospheric signals in Liaoning province

FANG Yi-he1,2, GONG Qiang1, ZHAO Lian-wei1, WANG Xiao-tao1, ZHOU Xiao-yu1, CUI Yan1, REN Chuan3, WANG Dang4, WEN Ri-hong5   

  1. 1. Shenyang Regional Climate Center, Shenyang 110166, China;
    2. College of Atmospheric Science, Nanjing University of Information & Technology, Nanjing 210044, China;
    3. Meteorological Information Center of Liaoning Province, Shenyang 110166, China;
    4. Liaoning Branch of Training School of Meteorological Cadres in China Meteorological Administration, Shenyang 110016, China;
    5. Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
  • Received:2014-11-14 Revised:2015-12-16 Online:2016-04-30 Published:2016-04-30

摘要: 为了探讨前期海洋和大气的何种信号对辽宁省秋季降水产生影响,为辽宁省秋季气候预测业务提供理论支持。利用1961-2012年辽宁省53个气象站月平均降水资料和NCEP/NCAR再分析月平均位势高度场、海平面气压场资料及由NOAA重构的月平均海温场资料,分析了辽宁省秋季降水的异常特征。通过相关分析方法,寻找海洋和大气中影响辽宁省秋季降水的前期信号;并采用多元回归方法建立了预报方程。结果表明:1961-2012年辽宁省秋季降水EOF第一模态在空间上表现为全省一致的异常特征,且辽宁省秋季降水随时间呈减少的趋势。前期5、7月和8月北大西洋海温三极子、5月热带印度洋偶极子和5月北太平洋涛动对辽宁省秋季降水全区一致的模态具有较好的指示意义,可作为辽宁省秋季降水的预报因子。北大西洋海温三极子、热带印度洋偶极子和北太平洋涛动呈正位相时,辽宁省秋季降水全区一致偏多,反之秋季降水全区一致偏少。

关键词: 秋季降水, 北大西洋海温三极子, 热带印度洋偶极子, 北太平洋涛动

Abstract: In order to find previous oceanic and atmospheric signals which can significantly influence autumn precipitation in Liaoning province and provide theoretical basis to support autumn climatic forecast, the abnormal characteristics of autumn precipitation were analyzed based on the monthly mean precipitation data from 53 weather observational stations during 1961 to 2012, the NCEP/NCAR monthly mean reanalysis data of geopotential height field and sea level pressure field, and monthly mean sea surface temperature data reconstructed by the NOAA.Meanwhile, previous oceanic and atmospheric signals of autumn precipitation were sought in Liaoning province by a correlation analysis method, and then a prediction equation was established by a multiple linear regression method.The results indicate that the first mode's spatial vector of EOF analysis for the autumn precipitation anomalies percentage shows a consistent abnormal variation characteristic over the whole Liaoning province, and the autumn precipitation anomalies percentage is in a decreasing trend year by year.The North Atlantic SST tripole in previous May, July and August, the Tropical India Ocean Dipole (IOD) in May and the North Pacific Oscillation in May can influence the first mode of the autumn precipitation in Liaoning province, and they can be used as forecast factors of autumn precipitation.Their positive phases correspond to abundant autumn rain in Liaoning province, and vice versa.

Key words: Autumn precipitation, North Atlantic SST tripole, Tropical India Ocean Dipole (IOD), North Pacific Oscillation(NPO)

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