The Combined Effects of North Atlantic Oscillation and Western Pacific Teleconnection on Winter Temperature in Eastern Asia during 1980–2021

2023年10月15日·
Ziqun Zhang
Corresponding
崔红艳
崔红艳
陈宝旭
陈宝旭
,
Hong Cai
,
Pin Li
· 0 分钟阅读时长
摘要
As important atmospheric circulation patterns in Northern Hemisphere(NH), the North Atlantic Oscillation(NAO) and the Western Pacific teleconnection(WP) affect the winter climate in Eurasia. In order to explore the combined effects of NAO and WP on East Asian(EA) temperature, the NAO and WP indices are divided into four phases from 1980-2021: the positive NAO and WP phase(NAO+/WP+), the negative NAO and WP phase(NAO-/WP-), the positive NAO and negative WP phase(NAO+/WP-), the negative NAO and positive WP phase(NAO-/WP+). In the phase of NAO+/WP+, the low geopotential height(GH) stays in north of EA at 50°-80°N; the surface air temperature anomaly(SATA) is 0.8-1℃ lower than Southern Asian. In the phase of NAO-/WP-, the center of high temperature and GH locate in the northeast of EA; the cold air spreads to Southern Asia, causing the SATA decreases 1-1.5℃. In the phase of NAO+/WP-, the high GH belt is formed at 55°-80°N. Meanwhile, the center of high SATA locates in the north of Asia that increases 0.8-1.1℃. The cold airflow causes temperature dropping0.5-1℃ in the south of EA. The SATA improves 0.5-1.5℃ in south of EA in the phase of NAO-/WP+. The belt of high GH is formed at 25°-50°N, and blocks the cold air which from Siberia. The NAO and WP generate two warped plate pressure structures in NH, and affect the temperature by different pressure configurations. NAO and WP form different GH, and GH acts to block and push airflow by affecting the air pressure, then causes the temperature to be different from the north and south of EA. Finally, the multiple linear regression result shows that NAO and WP are weakened by each other such as the phase of NAO+/WP+ and NAO-/WP-.
类型
出版物
Acta Oceanologica Sinica
publications
崔红艳
Authors
副教授
数学与应用数学教研室主任,硕士研究生导师。博士毕业于中国海洋大学物理海洋学专业,主要从事人工智能海洋、大数据统计与分析、机器学习、极端事件归因等气候变化和海气相互作用的相关研究。主持及参与国家等课题10余项,先后发表国内外论文20余篇,其中中科院一区TOP论文影响因子6.5,博士论文下载次数达1700次;参与国家530航次调查任务,乘坐向阳红至赤道太平洋印度洋开展为期2个多月的科考任务;参与海军水文气象军工项目;承担本科生及研究生《高等数学》、《物理海洋学导论》等课程教学;
陈宝旭
Authors
2022级统计学硕士研究生
本人专业为统计学,主要研究方向为极端天气事件与海-气相互作用。研究工作综合统计诊断、动力机制分析等方法,揭示多因子协同对极端天气气候事件的影响
Authors
Authors