中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The relationship between the Atlantic Multidecadal Oscillation and temperature variability in China during the last millennium

文献类型:SCI/SSCI论文

作者Zhao Y.; Zhao Y.
发表日期2013
关键词Atlantic multidecadal oscillation China last millennium multidecadal time-scales temperature variability tree-ring chronologies indian-summer monsoon european climate north-american yangtze-river reconstruction mechanism holocene pacific trends
英文摘要Using a large number of temperature-sensitive proxy records, we investigated the relationship between the Atlantic Multidecadal Oscillation (AMO) and temperature variability in China during the last millennium. The results indicate a relatively homogeneous pattern of cold/warm anomalies in East, West and the whole of China (EC, WC and WOC). The six major AMO cold phases coincided with cold conditions over EC, WC and WOC, while warm conditions across China occurred during the two major AMO warm phases. This close similarity between the AMO and multi-decadal temperature variability in China is supported by climate model simulations and emphasizes the critical role of surface heating over the Asian continent in linking the AMO and the Indian summer monsoon. The mid-latitude westerly anomalies and the propagation of Rossby waves related to the AMO may be two channels linking sea surface temperature anomalies in the North Atlantic and temperature variability over East Asia. Additionally, the Atlantic Meridional Overturning Circulation may play an important role in transmitting the AMO signal over the globe. We recommend further climate model studies on the mechanisms responsible for the connection between the AMO and regional to global climate changes.
出处Journal of Quaternary Science
28
7
653-658
收录类别SCI
语种英语
ISSN号0267-8179
源URL[http://ir.igsnrr.ac.cn/handle/311030/30207]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Zhao Y.,Zhao Y.. The relationship between the Atlantic Multidecadal Oscillation and temperature variability in China during the last millennium. 2013.

入库方式: OAI收割

来源:地理科学与资源研究所

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