Dynamic synchronization of extreme heat in complex climate networks in the contiguous United States
Dynamic synchronization of extreme heat in complex climate networks in the contiguous United States
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DOI：
10.1016/j.uclim.2021.100909
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发表时间：
2021-07
期刊：
影响因子：
6.4
通讯作者：
Zhi-hua Wang;Chenghao Wang;Xueli Yang
中科院分区：
文献类型：
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作者：
Zhi-hua Wang;Chenghao Wang;Xueli Yang
在过去的几十年里，城市气候研究由于其在解决全球快速城市化和紧急气候变化的伴随问题方面的独特地位而蓬勃发展。然而，仍然缺乏一个整体和系统为基础的工具包，调查城市气候系统的复杂动态，特别是水文气候极端。在这里，我们提出了一个新的框架，复杂网络的基础上分析的拓扑结构的城市气候在美国（CONUS）。此外，我们模拟CONUS城市网络使用Kuramoto模型和主稳定性函数形式主义，这揭示了新的光热浪的发生和演变的动态同步过程。结果发现，CONUS城市气候网络是高度模块化的空间层次（枢纽-外围）组织。小世界效应在这些网络中也很明显，任何一对节点之间的特征路径长度不超过5。对于全球连接的城市网络，随着连接的稀疏性增加（相关系数的阈值），路径长度近似线性减少，而同步性呈指数下降。
Urban climate research has surged in the past decades due to its unique position in addressing the concomitant issues of the rapid global urbanization and emergent climate changes. Nevertheless, there is still a lack of holistic and system-based toolkit for investigating complex dynamics of urban climate systems, especially those of hydroclimate extremes. Here we propose a novel framework based on complex networks for analyzing the topological structure of the urban climate in the contiguous United States (CONUS). In addition, we simulate CONUS urban networks using Kuramoto model and the master stability function formalism, which sheds new light on the occurrence and evolution of heat waves as dynamic synchronization processes. It is found that the CONUS urban climate networks are highly modular with spatial hierarchical (hub-periphery) organization. The small-world effect is also manifest in these networks with the characteristic path length between any pair of nodes no more than 5. For globally connected urban networks, as the sparsity of connections increases (with threshold of correlation coefficient), the path length decreases roughly linearly, whereas the synchronizability reduces exponentially.