删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

1979—2018年冬季京津冀区域大风日环流型的聚类分析

本站小编 Free考研考试/2021-12-25

doi:10.12202/j.0476-0301.2019326石晓雪,
龚道溢,,
董雪晨
北京师范大学地理科学学部,应急管理部-教育部减灾与应急管理研究院,地表过程与资源生态国家重点实验室,100875,北京
基金项目:国家自然科学基金资助项目(41621061)

详细信息
通讯作者:龚道溢(1969—),男,博士,教授. 研究方向:气候变化及影响. e-mail: gdy@bnu.edu.cn
中图分类号:P448

计量

文章访问数:69
HTML全文浏览量:78
PDF下载量:12
被引次数:0
出版历程

收稿日期:2019-12-03
网络出版日期:2020-11-03
刊出日期:2020-10-31

Regional strong winter wind events over Beijing-Tianjin-Hebei and the corresponding weather patterns during 1979—2018

Xiaoxue SHI,
Daoyi GONG,,
Xuechen DONG
Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, China



摘要
HTML全文
(9)(0)
参考文献(28)
相关文章
施引文献
资源附件(0)
访问统计

摘要
摘要:利用1979—2018年冬季(12月—次年2月)地面台站的逐日风速和ERA-Interim再分析资料,分析了冬季京津冀区域性大风的变化及其天气环流型. 结果显示,在1979—2018年期间,共计出现区域性大风事件285 d,近40 a大风天气出现的频次以?0.96 d·(10 a)?1(P<0.05)趋势减少. 层次聚类结果显示,导致区域性大风的主要天气环流型有2类:一类环流型事件为110 d,突出特征是欧亚大陆中高纬地区500 hPa位势高度场异常,沿西北–东南方向呈“负-正-负-正-负”分布,合成分析表明其异常信号从上游地区出现、东移、消失于西北太平洋地区,可持续近15 d;另一类环流型事件有175 d,对应的欧亚大陆地区环流异常自西向东呈“正-负-正-负-正”分布,异常信号可持续近18 d. 合成显示,京津冀地区2类天气环流型在对流层中低层均为低压异常,同时近地面有异常强的偏北风和低温. 1979年以来,这2类天气环流型的频次都在显著减少,前者的线性趋势是?0.72 d·(10 a)?1 (P<0.01),后者趋势是?0.23 d·(10 a)?1 (P<0.5),这说明第一类天气型频次的减少可能是近40 a京津冀地区大风事件下降的主要原因.
关键词:区域大风日/
层次聚类/
环流型/
京津冀
Abstract:Changes of strong winter wind events in the Beijing-Tianjin-Hebei mega-region and corresponding weather circulation patterns were revealed with analysis of the daily wind speed at various meteorological stations and ERA-Interim reanalysis, for the winter season from 1979-2018. A total of 285 regional strong wind days were counted, frequency of strong windy days was found to have decreased significantly with a trend of ?0.96 d·(10 a)?1(P<0.05). Large-scale circulation associated with strong wind events in winter could be classified into two patterns by hierarchical clustering based on daily 500 hPa geopotential height anomalies. The two weather patterns accounted for strong winds for 110 and 175 d, respectively. Composite-analysis was found to demonstrat alternatively positive and negative anomalies west-east oriented over Eurasia. China is under the control of anomalous low pressure in the middle and lower troposphere, accompanied with anomalous strong northerly wind and low temperature near ground. For the first clustering type, circulation anomalies appeared in western Eurasia and disappeared in northwestern Pacific, lasting approximately 15 d. Lifetime was approximately 18 d for the second clustering types. Frequency of the first type decreased significantly at a rate of ?0.72 d·(10 a)?1(P<0.01). For the second, decrease rate was ?0.23 d·(10 a)?1 (P<0.5). These data suggest that observed decrease in regional strong wind events might be largely due to rapid reduction of the first weather type.
Key words:regional strong wind events/
hierarchical clustering/
weather circulation patterns/
Beijing-Tianjin-Hebei region

相关话题/管理 资源 信号 北京师范大学 实验室