Reconstructing Late Holocene North Atlantic atmospheric circulation changes using functional paleoclimate networks
Reconstructing Late Holocene North Atlantic atmospheric circulation changes using functional paleoclimate networks
复制标题
利用功能性古气候网络重建全新世晚期北大西洋大气环流变化
DOI：
10.5194/cp-13-1593-2017
复制
发表时间：
2017
影响因子：
4.3
通讯作者：
R. Donner
中科院分区：
文献类型：
--
作者：
J. Franke;J. Werner;R. Donner
摘要。获得北大西洋地区长期大气环流变化的可靠重建是当代古气候研究的一个持续挑战，近年来已有大量研究解决了这一问题。为了在这个活跃的领域提供一个新的方法论方面，我们在这里应用演化功能网络分析，这是一种最近开发的研究地球气候系统空间共变结构时间变化的工具，对一组覆盖过去两千年的晚全新世古气候代理记录进行了分析。我们分析得到的新模式与该地区主要大气环流模式——北大西洋涛动（NAO）的长期变化有关。通过将获得的功能性古气候网络表征的时间依赖区域间联系结构与最近的百年NAO重建进行比较，我们发现格陵兰岛南部、斯瓦尔巴群岛和芬诺斯坎迪亚之间的共变率表明NAO正相，而格陵兰岛和芬诺斯坎迪亚与中欧之间的联系在NAO负相期间更为明显。利用这种对应关系，我们利用演化网络结构的一些关键参数，利用在现有较短重建基础上训练的线性回归模型，获得了整个公历期（过去2000年）NAO长期变化的定性重建。
Abstract. Obtaining reliable reconstructions of long-term atmospheric circulation changes in the North Atlantic region presents a persistent challenge to contemporary paleoclimate research, which has been addressed by a multitude of recent studies. In order to contribute a novel methodological aspect to this active field, we apply here evolving functional network analysis, a recently developed tool for studying temporal changes of the spatial co-variability structure of the Earth's climate system, to a set of Late Holocene paleoclimate proxy records covering the last two millennia. The emerging patterns obtained by our analysis are related to long-term changes in the dominant mode of atmospheric circulation in the region, the North Atlantic Oscillation (NAO). By comparing the time-dependent inter-regional linkage structures of the obtained functional paleoclimate network representations to a recent multi-centennial NAO reconstruction, we identify co-variability between southern Greenland, Svalbard, and Fennoscandia as being indicative of a positive NAO phase, while connections from Greenland and Fennoscandia to central Europe are more pronounced during negative NAO phases. By drawing upon this correspondence, we use some key parameters of the evolving network structure to obtain a qualitative reconstruction of the NAO long-term variability over the entire Common Era (last 2000 years) using a linear regression model trained upon the existing shorter reconstruction.
影响因子：
18.3
作者：
Buentgen, Ulf;Myglan, Vladimir S.;Kirdyanov, Alexander V.
通讯作者：
Kirdyanov, Alexander V.
影响因子：
4.6
作者：
Rehfeld, Kira;Marwan, Norbert;Kurths, Juergen
通讯作者：
Kurths, Juergen
影响因子：
6.7
作者：
Luterbacher, J.;Werner, J. P.;Zerefos, C.
通讯作者：
Zerefos, C.