Complex network reveals the spatiotemporal pattern of summer extreme precipitation in Eastern China

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Annals of Mathematics and Physics volume5-issue2 articles
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Submitted: September 19, 2022
Published: Oct 4, 2022
DOI: 10.17352/amp.000055
Keywords:
Complex network, Event synchronization, Summer extreme precipitation

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Aidi Zhang*
School of Mathematics and Information Sciences, Yantai University, Yantai, China
Han Zhang
School of Mathematics and Information Sciences, Yantai University, Yantai, China
Meng Gao
School of Mathematics and Information Sciences, Yantai University, Yantai, China
Xinyi Wang
School of Mathematics and Information Sciences, Yantai University, Yantai, China

Abstract

In this study, complex networks were constructed based on the synchronization of summer extreme precipitation events (SEPEs) in eastern China. Then, a detailed analysis of spatiotemporal patterns of SEPEs and the relationship between SEPEs in eastern China with the eastern Asian monsoon was presented. The results showed that (1) the event synchronization is low in the coastal region but high in the inland region; (2) the intensity of the monsoon varies at different phases of summer and the area and intensity of the monsoon's influence on the summer extreme rainfall events were different. In conclusion, this study provides valuable insights to reveal the influence of monsoon strength on SEPEs in different regions of China.

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Article Details

Zhang, A., Zhang, H., Gao, M., & Wang, X. (2022). Complex network reveals the spatiotemporal pattern of summer extreme precipitation in Eastern China. Annals of Mathematics and Physics, 5(2), 140–145. https://doi.org/10.17352/amp.000055
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Copyright (c) 2022 Zhang A, et al.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Albert R, Barabási AL. Statistical mechanics of complex networks. Rev Mod Phys. 2002; 74: 47-97.

Tsonis AA, Wang G, Swanson KL. Community structure and dynamics in climate networks. Clim Dyn. 2011; 37: 933–940.

Swanson KL, Tsonis AA. Has the climate recently shifted? Geophys Res Lett. 2009; 36: L06711.

Qiao P, Gong Z, Liu W, Zhang Y, Feng G, Dong W. Extreme rainfall synchronization network between Southwest China and Asia–Pacific region. Clim Dyn. 2021; 57: 3207-3221.

Quian Quiroga R, Kreuz T, Grassberger P. Event synchronization: a simple and fast method to measure synchronicity and time delay patterns. Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Oct;66(4 Pt 1):041904. doi: 10.1103/PhysRevE.66.041904. Epub 2002 Oct 15. PMID: 12443232.

Rheinwalt A, Marwanl N, Kurths J, Werner P, Gerstengarbel FW. Boundary effects in network measures of spatially embedded networks. EPL. 2012; 100(2):28002.

Malik N, Bookhagen B, Marwan N, Kurths J. Analysis of spatial and temporal extreme monsoonal rainfall over South Asia using complex networks. Clim Dyn. 2012; 39: 971–987.

Albert R, Barabási AL. Statistical mechanics of complex networks. Rev Mod Phys. 2002; 74: 1–54.

Strogatz SH. Exploring complex networks. Nature. 2001; 410: 268–276.

Newman ME, Girvan M. Finding and evaluating community structure in networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Feb;69(2 Pt 2):026113. doi: 10.1103/PhysRevE.69.026113. Epub 2004 Feb 26. PMID: 14995526.

Fortunato S. Community detection in graphs. Phys Rep. 2010; 486: 75-174.

Mondal S, Mishra AK, Leung LR. Spatiotemporal Characteristics and Propagation of Summer Extreme Precipitation Events Over United States: A Complex Network Analysis. Geophys Res Lett. 2020; 47: 1668257.

Schumacher C, Houze RA. Stratiform Rain in the Tropics as Seen by the TRMM Precipitation Radar. J. Clim. 2003; 16:1739-1756.

Johnson RH. Mesoscale processes. In: Wang B (ed) The Asian monsoon. Springer, 2006; 8: 331-356.

Houze RA, Wilton DC, Smull BF. Monsoon convection in the Himalayan region as seen by the TRMM Precipitation Radar. QJR Meteorol Soc. 2007;133: 1389–1411.