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 ›› 2020, Vol. 36 ›› Issue (4): 28-35.doi: 10.3969/j.issn.1673-503X.2020.04.004

• 论文 • 上一篇    下一篇

基于OMR方法的城市化进程对辽宁省气温变化的影响分析

敖雪1(),翟晴飞2,崔妍1,*(),周晓宇1,赵春雨1,张晋广2,袁健2   

  1. 1. 沈阳区域气候中心, 辽宁 沈阳 110166
    2. 辽宁省人工影响天气办公室, 辽宁 沈阳 110166
  • 收稿日期:2019-09-23 出版日期:2020-08-30 发布日期:2020-06-16
  • 通讯作者: 崔妍 E-mail:aoxuefyh@163.com;15840322495@163.com
  • 作者简介:敖雪,女, 1986年生,工程师,主要从事气候与气候变化研究, E-mail:aoxuefyh@163.com
  • 基金资助:
    2018年辽宁省气象局科研课题“辽宁省城市化气候效应的检测与对比研究”(BA201803);“辽宁省人工影响天气工作信息管理系统的推广应用”(201818);中国气象局气候变化专项(CCSF201910);中国气象局气候变化专项(CCSF202013);辽宁省自然基金资助计划(2019-MS-199)

Analysis of the influence of urbanization process on the temperature change in Liaoning province based on the OMR method

Xue AO1(),Qing-fei ZHAI2,Yan CUI1,*(),Xiao-yu ZHOU1,Chun-yu ZHAO1,Jin-guang ZHANG2,Jian YUAN2   

  1. 1. Shenyang Regional Climate Center, Shenyang 110166, China
    2. Liaoning Weather Modification Office, Shenyang 110166, China
  • Received:2019-09-23 Online:2020-08-30 Published:2020-06-16
  • Contact: Yan CUI E-mail:aoxuefyh@163.com;15840322495@163.com

摘要:

利用1961—2018年辽宁省61个国家级气象站逐日平均、最高、最低气温观测资料以及NCEP/NCAR再分析资料,定量分析了城市化对辽宁省气温变化的影响。结果表明:辽宁省气温呈显著增加趋势,观测资料的增温趋势较再分析资料明显;逐日平均、最高、最低气温均表现出冬季增温速率最快,春季、秋季次之,夏季增温速率最慢;在城市化影响贡献率上,秋季最大,夏季和春季次之,冬季相对较小;空间分布上,辽宁省绝大部分地区城市化影响呈上升趋势,呈现出中部大于外围,东部大于西部,南部大于北部的分布形势,城镇化发展水平越高的地区,观测与再分析方法的差值增加趋势越明显;平均气温、最高、最低气温的城市化影响分别是0.13℃/10 a、0.045℃/10 a、0.216℃/10 a,城市化影响贡献率分别为38.5%、19.5%、43.4%,说明快速的城市化进程是导致辽宁省气温增暖的重要因素。

关键词: 城市化, OMR方法, 气候变化

Abstract:

The daily average, maximum and minimum temperature observation data of 61 national meteorological stations in Liaoning province from 1961 to 2018 and the NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research Reanalysis) reanalysis data were used to quantitatively analyze the impact of urbanization on temperature changes in Liaoning province.The results show that the temperature in Liaoning province exhibits a significant increasing trend, and the temperature increasing trend of observation data is more obvious than that of the reanalysis data.The daily average, maximum and minimum temperatures show the fastest warming rate in winter, followed in spring and autumn, and the slowest warming rate in summer.In terms of urbanization influence contribution rate, the largest rate is in autumn, those in summer and spring rank in the second, the rate in winter is relatively small.In terms of spatial distribution, the influence of urbanization in most areas of Liaoning province is on the increasing trend, presenting a distribution situation that the central part is larger than the periphery, the eastern part is larger than the western part, and the southern part is larger than the northern part.The higher the level of urbanization, the more obvious the increasing trend of OMR (Observation Minus Reanalysis) value is.The influences of average, maximum and minimum temperatures on urbanization are 0.13 ℃/10 a, 0.045 ℃/10 a and 0.216 ℃/10 a, respectively.Their contribution rates of urbanization are 38.5%, 19.5% and 43.4%, respectively, indicating that the rapid urbanization process is an important factor leading to temperature increase in Liaoning province.

Key words: Urbanization, Observation minus reanalysis (OMR) method, Climate change

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