Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey

被引：1
作者：
Mohammad Ali Ghorbani
Ercan Kahya
Heikki Ruskeepää
Thendiyath Roshni
Mahsa Hasanpour Kashani
Vahid Karimi
Bugrayhan Bickici Arikan
机构：
[1] University of Tabriz,Department of Water Engineering
[2] Istanbul Technical University,Permanent address: Department of Civil Engineering
[3] University of Turku,Department of Mathematics and Statistics
[4] National Institute of Technology Patna,Department of Civil Engineering
[5] University of Mohaghegh Ardabili,Department of Water Engineering, Water Management Research Center, Faculty of Agriculture and Natural Resources
[6] Istanbul Medeniyet University,Department of Civil Engineering
来源：
Arabian Journal of Geosciences | 2022年 / 15卷 / 10期
关键词：
Complex network; Phase space reconstruction; Rainfall regimes; Node strength; Temporal dynamics; Turkey;
D O I：
10.1007/s12517-022-10271-7
中图分类号：
学科分类号：
摘要：
The quantitative analysis of rainfall provides an in-depth understanding of the spatio-temporal variation of rainfall patterns. The present study aims to implement complex networks for studying the temporal connections of monthly rainfall in different rainfall regimes of Turkey between 1977 and 2016. The rainfall data of 151 rain gauges were reconstructed in the phase space, and the optimal embedding dimensions (OED) for the optimal delays are selected using the false nearest neighbors (FNN) approach. Subsequently, the reconstructed phase space (RPS) is served as a network, and the strength for each node of the network is calculated by applying a distance criterion. The results showed the utility of the RPS-based network for studying the temporal correlations in rainfall data. Moreover, the regional characteristics and rainfall properties reflect the strength values. The insights gained from the study provide baseline information for climate change adaptation and pave the way to similar applications on a global scale.
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