Spatiotemporal Characteristics and Propagation of Summer Extreme Precipitation Events Over United States: A Complex Network Analysis
Spatiotemporal Characteristics and Propagation of Summer Extreme Precipitation Events Over United States: A Complex Network Analysis
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DOI：
10.1029/2020gl088185
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发表时间：
2020-08
影响因子：
5.2
通讯作者：
S. Mondal;A. Mishra;L. Leung
中科院分区：
文献类型：
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作者：
S. Mondal;A. Mishra;L. Leung
复杂网络（CN）是一种基于图论的描述，描述了复杂动力系统（如大气）中各种元素之间的关系。在这里，我们应用CN的概念来理解的方向性和拓扑结构的夏季极端降水事件（SEPEs）在美国（CONUS）。SEPEs是基于0.5° × 0.5°空间分辨率下的第95百分位日降水量计算的，用于CONUS研究降水极端事件的多维特征。导出的CN系数（例如，介数中心性、聚类系数、方向性和网络发散性）揭示了SEPEs拓扑结构的重要结构和动力学信息，并提高了对主导气象模式的理解。识别SEPE从源区到汇区的起始和传播。SEPEs的拓扑结构和空间动力学的地形，主导风模式，和水分来源的影响。
Complex network (CN) is a graph theory‐based depiction of relation shared by various elements of a complex dynamical system such as the atmosphere. Here we apply the concept of CN to understand the directionality and topological structure of summer extreme precipitation events (SEPEs) over the conterminous United States (CONUS). The SEPEs are calculated based on the 95th percentile daily rainfall at 0.5° × 0.5° spatial resolution for CONUS to investigate the multidimensional characteristics of precipitation extremes. The derived CN coefficients (e.g., betweenness centrality, clustering coefficient, orientation, and network divergence) reveal important structural and dynamical information about the topology of the SEPEs and improve understanding of the dominant meteorological patterns. The initiation and propagation of SEPEs from the source zones to the sink zones are identified. The SEPEs are influenced by topography, dominant wind patterns, and moisture sources in terms of their topological structure and spatial dynamics.