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 (6): 77-84.doi: 10.3969/j.issn.1673-503X.2016.06.010

• 论文 • 上一篇    下一篇

1961-2014年辽宁地区雾日变化特征

张婉莹1, 孙秀博2, 李岚1, 吴侃3, 秦美欧4, 李晓岚2   

  1. 1. 辽宁省气象服务中心, 辽宁 沈阳 110166;
    2. 中国气象局沈阳大气环境研究所, 辽宁 沈阳 110166;
    3. 辽宁省气象信息中心, 辽宁 沈阳 110166;
    4. 沈阳区域气候中心, 辽宁 沈阳 110166
  • 收稿日期:2015-12-15 修回日期:2016-06-27 出版日期:2016-12-31 发布日期:2016-12-31
  • 通讯作者: 孙秀博,E-mail:gavin1813@163.com。 E-mail:gavin1813@163.com
  • 作者简介:张婉莹,女,1988年生,助理工程师,主要从事专业天气预报和气候变化研究,E-mail:zhangwanying_nuist@163.com。
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项(2014IAE-CMA-D)、辽宁省气象局重点科研项目“高速公路沿线低能见度精细化预报方法研究”(201614)、辽宁省气象局重点科研项目“卫星遥感反演陆面数据在高分辨率WRF模式中的推广应用(推广)”(201620)、辽宁省气象局重点科研项目“辽宁省高速公路气象服务手机客户端系统”(201503)和辽宁省气象局交通专家型预报团队共同资助。

Characteristics of fog days in Liaoning province from 1961 to 2014

ZHANG Wan-ying1, SUN Xiu-bo2, LI Lan1, WU Kan3, QIN Mei-ou4, LI Xiao-lan2   

  1. 1. Liaoning Meteorological Service Center, Shenyang 110166, China;
    2. Institute of Atmospheric Environment, CMA, Shenyang 110166, China;
    3. Liaoning Meteorological Information Center, Shenyang 110166, China;
    4. Shenyang Regional Climate Center, Shenyang 110166, China
  • Received:2015-12-15 Revised:2016-06-27 Online:2016-12-31 Published:2016-12-31

摘要: 利用1961-2014年辽宁地区53个气象站的能见度观测资料,对辽宁地区雾日数的空间分布和趋势分布特征进行了分析,采用REOF法对辽宁地区雾日进行了分区,并对不同分区雾日数的年际及年代际变化特征进行了分析,研究区域雾日多时间尺度的变化特征。结果表明:近54 a辽宁地区年平均雾日数由西向东呈少-多-少-多的带状分布。辽宁地区年平均雾日数可分为辽西-中部型、辽东山区型、辽南-中部型、辽西型、辽南沿海型和辽北型6个分区,其中辽南沿海区、辽西-中部区与辽北区年平均雾日数呈增加的趋势,辽东山区和辽南-中部区年平均雾日数呈减少的趋势,辽西区年平均雾日数变化趋势不明显。不同分区年际及年代际平均雾日数的变化明显不同,对辽西-中部区、辽东山区、辽南-中部区、辽西区和辽南沿海区年平均雾日数贡献最大的为年代际变化,对辽北区年平均雾日数贡献最大的为年际变化。目前,年际变化对辽西-中部区和辽南-中部区年平均雾日数的贡献处于减少的阶段,对辽东山区、辽西区、辽南沿海区和辽北区年平均雾日数的贡献处于增加的阶段;年代际变化对辽西-中部区、辽东山区和辽西区年平均雾日数的贡献处于减少的阶段,对辽南中部区、辽南沿海区和辽北区年平均雾日数的贡献处于增加的阶段。

关键词: 雾日数, REOF, 分区, 小波分析

Abstract: Based on observational data of atmospheric visibility from 53 meteorological stations in Liaoning province from 1961 to 2014,the spatiotemporal distribution of the number of fog days was analyzed.The inter-annual and inter-decadal variations of fog days in different regions according to the rotated empirical orthogonal function (REOF) method were investigated for understanding the regional characteristics of fog days on multi-time scales.The results show that the number of fog days has a low-high-low-high zonal distribution from the west to the east in Liaoning province in recent 54 years.Annual mean number of fog days in Liaoning province can be divided into six regions,including the western-central region,the eastern mountainous region,the southern-central region,the western region,the southern coastal region,and the northern region.The annual number of fog days has an increasing trend in the southern coastal region,the western-central region and the northern region,while the number of fog days decreases in the eastern mountainous region and the southern-central region,however,the fog days in the western region do not change obviously.The variation of fog days is significantly different from different regions.The annual mean fog days in the western-central region,the eastern region,the southern-central region,the western region and the southern coastal region have very strong inter-decadal variability,however,those in the north region has obvious inter-annual variability.The inter-annual variability of annual mean fog days in the western-central region and the southern-central region has a declining trend,but that in the other four regions is in an increasing stage.The inter-decadal variability of annual mean fog days is in a decline stage in the western-central region,the eastern region and the western region,however,it is in an increasing stage in the other regions.

Key words: Fog days, Rotated empirical orthogonal function(REOF), Sub-region, Wavelet analysis

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