气象学报2022，Vol.80Issue(5)：721-731,11.DOI:10.11676/qxxb2022.057
基于自动识别的近三十年华北地区冬季冷锋活动异常及其可能成因
Winter cold front activities and associated circulation characteristics in North China in the recent 30 years detected by an automatic identification method
摘要
Abstract
In this study, the dataset of winter cold front activities in Eurasia is obtained by applying the two-step cold front identification method to the ERA5 reanalysis data for the period from 1989 to 2018. Moreover, the characteristics of winter cold front activities in North China in the recent 30 years are analyzed, and possible mechanisms for cold front activity anomalies are discussed. The results show that North China is the key area with the highest frequency of cold fronts in the East Asian continent. The frequency index of cold front activities in North China has an obvious interannual variation. In the years of strong cold front activities in North China, the Eurasia teleconnection pattern from North Atlantic to Eurasia is obviously in positive phase, and negative geopotential height anomalies appear at 500 hPa over North China. It indicates an enhancement of the East Asian trough and a stronger Siberian High in surface. When anomalously warm advection prevails over the ocean in the northern margin of Eurasia, cold air activities and the frequency of cold fronts both increase in North China. The SST anomalies in the northern Atlantic Ocean may trigger Rossby waves in the middle and upper troposphere, which propagate eastward and reach North China via Europe and western Siberia, affecting the frequency of cold fronts in North China.关键词
冷锋/西伯利亚高压/欧亚遥相关（EU）波列/冷空气活动/自动识别Key words
Cold front/Siberian High/Eurasia teleconnection wave/Cold air activity/Automatic identification method分类
天文与地球科学引用本文复制引用
秦育婧,冯梦茹,卢楚翰,何书雅,李丽平,胡春丽..基于自动识别的近三十年华北地区冬季冷锋活动异常及其可能成因 [J].气象学报,2022,80(5):721-731,11.基金项目
江苏省重点研发计划产业前瞻与关键核心技术项目（BE2022161）。 （）
