Guo Heng, Ramos Antônio M T, Macau Elbert E N, Zou Yong, Guan Shuguang
Department of Physics, East China Normal University, Shanghai, China.
National Institute for Space Research, São José dos Campos, São Paulo, Brazil.
PLoS One. 2017 Oct 17;12(10):e0186145. doi: 10.1371/journal.pone.0186145. eCollection 2017.
Climate networks are powerful approaches to disclose tele-connections in climate systems and to predict severe climate events. Here we construct regional climate networks from precipitation data in the Amazonian region and focus on network properties under the recent drought events in 2005 and 2010. Both the networks of the entire Amazon region and the extreme networks resulted from locations severely affected by drought events suggest that network characteristics show slight difference between the two drought events. Based on network degrees of extreme drought events and that without drought conditions, we identify regions of interest that are correlated to longer expected drought period length. Moreover, we show that the spatial correlation length to the regions of interest decayed much faster in 2010 than in 2005, which is because of the dual roles played by both the Pacific and Atlantic oceans. The results suggest that hub nodes in the regional climate network of Amazonia have fewer long-range connections when more severe drought conditions appeared in 2010 than that in 2005.
气候网络是揭示气候系统中遥相关并预测极端气候事件的有力方法。在此，我们根据亚马逊地区的降水数据构建区域气候网络，并关注2005年和2010年近期干旱事件下的网络特性。整个亚马逊地区的网络以及受干旱事件严重影响地点所形成的极端网络均表明，这两次干旱事件的网络特征略有差异。基于极端干旱事件和无干旱条件下的网络度数，我们确定了与更长预期干旱期长度相关的感兴趣区域。此外，我们表明，2010年与感兴趣区域的空间相关长度比2005年衰减得快得多，这是由于太平洋和大西洋所起的双重作用。结果表明，与2005年相比，2010年出现更严重干旱条件时，亚马逊地区区域气候网络中的枢纽节点具有更少的远程连接。
