Analyzing the effects of sea ice melting and atmospheric heat transport on the warming around arctic based on comparable analysis and coupling modes

Analyzing the effects of sea ice melting and atmospheric heat transport on the warming around arctic based on comparable analysis and coupling modes
复制标题

基于可比分析和耦合模式分析海冰融化和大气热传输对北极变暖的影响

DOI:
10.1016/j.atmosres.2021.105630
复制
发表时间:
2021-04
影响因子:
5.5
通讯作者:
Zhu Jilin
Zhu Jilin
中科院分区:
地球科学1区
文献类型:
--
作者:
Wu Hongqian;Zhang Ren;Wang Yangjun;Hong Mei;Yan Hengqian;Zhu Jilin

文献摘要

参考文献

相似文献

近几十年来,北极变暖已成为全球气候变化的一个重要信号。在本研究中,海冰体积和全层大气热通量散度分别被用来代表本地因素和外部输送。采用随机森林算法研究了1979 - 2018年北极变暖的局地因子和外部输送因子之间的非线性效应和重要性变化。采用多元经验正交函数分解方法,研究了海冰体积、热通量散度和不同高度温度之间的耦合结构,定位了大气热量输送到北极的主要通道,探讨了近两年北极极端气候事件的物理机制。分析结果表明,海冰对低层增暖有显著影响,大气热输送对对流层中高层温度变化起着重要的调节作用。此外,在年代际尺度上,北极变暖的平均状态与北冰洋涛动指数密切相关,解释了大西洋部分的变暖趋势。这种趋势受太平洋和大西洋的热输送通道共同控制。2017-2018年的突然变化是由于太平洋热量输送增加和大西洋热量输送减弱,导致两条通道附近异常变暖和变冷造成的。在季节尺度上,巴芬湾和拉布拉多海、北欧半岛和巴伦支海、白令海和东西伯利亚海三个通道的热量输送增加可能导致北极夏季变暖的区域差异。冬季白令海和东西伯利亚海通道热量输送的增加使太平洋区明显变暖。环流场的变化在温度和太平洋热量输送之间建立了一种正反馈机制。
The Arctic warming has become a key signal with global climate change in recent decades. In this study, sea ice volume and whole layer atmospheric heat flux divergence were used to represent the local factor and external transport, respectively. The random forest algorithm was adopted to study the nonlinear effects and variations in importance between the local factors and external transport on Arctic warming between 1979 and 2018. The multivariate empirical orthogonal function decomposition method was applied to explore the coupling structure among sea ice volume, heat flux divergence, and temperature at different altitudes, locate the main passages of atmospheric heat transport to the Arctic, and explore the physical mechanisms of extreme Arctic climate events in the past two years. The analysis results suggest that sea ice has a significant impact on lower-level warming, and the atmospheric heat transport is essential in regulating temperature changes in the middle and upper troposphere. Additionally, on an interdecadal scale, the average state of Arctic warming was found to be strongly related to the Arctic Ocean Oscillation index, explaining the warming trend in the Atlantic sector. The trend is jointly controlled by the heat transport passages in the Pacific and Atlantic Oceans. The abrupt change in 2017–2018 was caused by the increased heat transport in the Pacific Ocean and weakened heat transport in the Atlantic Ocean, leading to abnormal warming and cooling near the two passages. On a seasonal scale, heat transport increase in the three passages located in 1) the Baffin Bay and the Labrador Sea, 2) the Nordic Peninsula and the Barents Sea, 3) the Bering Sea and the East Siberian Sea likely causes regional differences in Arctic summer warming. The increased heat transport in the Bering Sea and East Siberian Sea passage in winter made the Pacific sector significantly warmer. A positive feedback mechanism was created by the change in the circulation field between the temperature and Pacific heat transport.
哺乳动物最大寿命的脂质组决定因素
DOI: 10.1038/s41598-017-00037-7
发表时间: 2017-01-31
期刊: Scientific reports
影响因子: 4.6
作者:
Bozek K;Khrameeva EE;Reznick J;Omerbašić D;Bennett NC;Lewin GR;Azpurua J;Gorbunova V;Seluanov A;Regnard P;Wanert F;Marchal J;Pifferi F;Aujard F;Liu Z;Shi P;Pääbo S;Schroeder F;Willmitzer L;Giavalisco P;Khaitovich P
通讯作者: Khaitovich P
通过信息流和遗传算法对朴素贝叶斯分类器进行基于因果关系的属性加权
DOI: 10.1109/access.2019.2947568
发表时间: 2019-01-01
期刊: IEEE ACCESS
影响因子: 3.9
作者:
Li, Ming;Liu, Kefeng
通讯作者: Liu, Kefeng
DOI: 10.1007/978-3-319-21696-6
发表时间: 2003
期刊: The Climate of the Arctic
影响因子: --
作者:
R. Przybylak
通讯作者: R. Przybylak
DOI: 10.1049/iet-ipr.2019.0346
发表时间: 2019-10-17
影响因子: 2.3
作者:
Sundara Sobitha Raj, Anubha Pearline;Vajravelu, Sathiesh Kumar
通讯作者: Vajravelu, Sathiesh Kumar
DOI: 10.1038/nclimate3241
发表时间: 2017-04-01
影响因子: 30.7
作者:
Ding, Qinghua;Schweiger, Axel;Steig, Eric J.
通讯作者: Steig, Eric J.