Analysis of Extreme Cold Events of December 2022 and January 2024 in the United States

2024年7月26日·
Yang Song
Corresponding
崔红艳
崔红艳
,
Changshui Xia
陈宝旭
陈宝旭
,
Ziqun Zhang
孙晓慧
孙晓慧
高畅
高畅
· 0 分钟阅读时长
摘要
In December 2022, the United States (US) experienced an extreme cold event. Its duration was 5 days, and it ranked third in intensity (-9.16 degrees C) during the period from 1979 to 2022. During the Early Stage (12-16 December), the surface air temperature (SAT) anomaly peaked at 2.98 degrees C. In the Development Stage (17-21 December), cold air moved towards North America (NA). This event reached its peak during the Outbreak Stage (22-26 December), with a minimum SAT anomaly of -9.16 degrees C. Concurrently, high pressure occurred in Alaska and the Archipelago region, while low-pressure centers occurred in the US. The U-component of wind (U-wind) was in a negative anomaly in the northern part of NA. The negative anomaly of the V-component of wind (V-wind) moved southward. These atmospheric structural changes facilitated the southward movement of cold air from the Arctic to NA. Furthermore, a positive (negative) U-wind anomaly was observed to obstruct (promote) the southward progression of cold air to NA. A linear regression analysis indicated that a negative Arctic Oscillation (AO) correlated with the accumulation of cold air in the Arctic, while a positive Arctic High led to the transport of cold air to NA. In an empirical orthogonal function (EOF) analysis, EOF1 (16.3%) was characterized by a warm Arctic and cold northern part of NA pattern, reflecting the cold air from the Arctic region moving southward into NA, while EOF2 (14.4%) depicted a cold Arctic and cold NA pattern, characterizing the outbreak of cold events in the US. In January 2024, the US experienced another extreme cold event. Its maximum intensity was -9.50 degrees C, and its duration was 8 days. The course of the two cold events was very similar.
类型
出版物
Atmosphere
publications
Authors
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
孙晓慧
Authors
2023级数学硕士研究生
我是一名数学专业研究生,研究方向是西风急流领域,我的研究核心围绕西风急流主轴的变化而展开。
高畅
Authors
2023级统计学硕士研究生
我是一名统计学专业研究生,研究方向是海洋模式数据分析领域,我的研究核心围绕海洋模式数据的收集、预处理、重建与分析展开。