Visibility network of United States hurricanes
Visibility network of United States hurricanes
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DOI：
10.1029/2009gl039129
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发表时间：
2009-08-25
影响因子：
5.2
通讯作者：
Fogarty, E. A.
中科院分区：
文献类型：
--
作者：
Elsner, J. B.;Jagger, T. H.;Fogarty, E. A.
作者演示了如何根据美国飓风数量的时间序列构建一个网络，并展示了如何使用它来识别记录中的异常年份。该网络基于应用于时间序列图的“视线”可见性算法将年份联系起来，并与飓风从一年到下一年的变化有关。节点度是连接到节点的链接数。作者发现节点度的分布符合随机Poisson过程。飓风高发年与飓风稀少年之间有许多联系。在已知影响沿海飓风活动的环境条件中，他们发现9月（飓风季节的高峰月份）太阳黑子活动很少的年份与异常高的联系年份最相符。引文：Elsner，J. B.，T. H. Jagger和E. A. Fogarty（2009），Visibility network of United States hurricanes，Geophys.保留信函：36，L16702，doi：10.1029/2009GL039129。
The authors demonstrate how to construct a network from a time series of U.S. hurricane counts and show how it can be used to identify unusual years in the record. The network links years based on a "line-of-sight'' visibility algorithm applied to the time series plot and is physically related to the variation of hurricanes from one year to the next. The node degree is the number of links connected to a node. The authors find that the distribution of node degree is consistent with a random Poisson process. High hurricane-occurrence years that are surrounded by years with few hurricanes have many linkages. Of the environmental conditions known to affect coastal hurricane activity, they find years with little sunspot activity during September (peak month of the hurricane season) best correspond with the unusually high linkage years. Citation: Elsner, J. B., T. H. Jagger, and E. A. Fogarty (2009), Visibility network of United States hurricanes, Geophys. Res. Lett., 36, L16702, doi:10.1029/2009GL039129.