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大气模态向量(AMV)对欧亚夏季水文循环的影响。

The impact of the AMV on Eurasian summer hydrological cycle.

机构信息

Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Bologna, Italy.

Ca'Foscari University of Venice, Venice, Italy.

出版信息

Sci Rep. 2020 Sep 2;10(1):14444. doi: 10.1038/s41598-020-71464-2.

Abstract

Impact studies of the Atlantic Multidecadal Variability (AMV) on the climate system are severely limited by the lack of sufficiently long observational records. Relying on a model-based approach is therefore mandatory to overcome this limitation. Here, a novel experimental setup, designed in the framework of the CMIP6-endorsed Decadal Climate Prediction Project, is applied to the CMCC climate model to analyse the remote climate impact of the AMV on the Northern Eurasian continent. Model results show that, during Boreal summer, an enhanced warming associated to a positive phase of the AMV, induces a hemispheric-scale wave-train response in the atmospheric circulation, affecting vast portions of Northern Eurasia. The overall AMV-induced response consists in an upper-tropospheric anomalous flows leading to a rainfall increase over Scandinavia and Siberia and to an intensified river runoff by the major Siberian rivers. A strengthening of Eurasian shelves' stratification, broadly consistent with the anomalous river discharge, is found in the proximity of the river mouths during positive-AMV years. Considering that Siberian rivers (Ob', Yenisei and Lena) account for almost half of the Arctic freshwater input provided by terrestrial sources, the implications of these findings for decadal variability and predictability of the Arctic environment are also discussed.

摘要

大西洋多年代际变率(AMV)对气候系统的影响研究受到观测记录时间不足的严重限制。因此,必须依靠基于模型的方法来克服这一限制。在这里,一种新的实验设置,在 CMIP6 认可的十年气候预测项目的框架内设计,应用于 CMCC 气候模型,以分析 AMV 对北欧亚大陆的远程气候影响。模型结果表明,在北方夏季,与 AMV 正位相相关的增强变暖导致大气环流中出现半球尺度的波列响应,影响北欧亚大陆的大片地区。总的来说,AMV 引起的响应是中高层异常流,导致斯堪的纳维亚和西伯利亚的降雨量增加,并导致主要的西伯利亚河流的径流量增加。在正 AMV 年份,在河口附近发现,欧亚大陆架的分层结构增强,这与异常的河流流量基本一致。考虑到西伯利亚河流(鄂毕河、叶尼塞河和勒拿河)占陆地源提供的北极淡水输入的近一半,因此还讨论了这些发现对北极环境的年代际变率和可预测性的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd7e/7468114/1b57eee9933e/41598_2020_71464_Fig1_HTML.jpg

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