Exploring meteorological droughts' spatial patterns across Europe through complex network theory

IF 2.4 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Nonlinear Processes in Geophysics Pub Date : 2023-06-15 DOI:10.5194/npg-30-167-2023
Domenico Giaquinto, W. Marzocchi, Jürgen Kurths
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Abstract

Abstract. In this paper we investigate the spatial patterns and features of meteorological droughts in Europe using concepts and methods derived from complex network theory. Using event synchronization analysis, we uncover robust meteorological drought continental networks based on the co-occurrence of these events at different locations within a season from 1981 to 2020 and compare the results for four accumulation periods of rainfall. Each continental network is then further examined to unveil regional clusters which are characterized in terms of droughts' geographical propagation and source–sink systems. While introducing new methodologies in general climate network reconstruction from raw data, our approach brings out key aspects concerning drought spatial dynamics, which could potentially support droughts' forecast.
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通过复杂网络理论探索欧洲各地的气象干旱空间模式
摘要本文利用复杂网络理论中的概念和方法,研究了欧洲气象干旱的空间格局和特征。使用事件同步分析,我们基于1981年至2020年一个季节内不同地点同时发生的这些事件,揭示了稳健的气象干旱大陆网络,并比较了四个降雨累积期的结果。然后,进一步研究各大陆网络,以揭示以干旱的地理传播和源汇系统为特征的区域集群。在从原始数据中引入一般气候网络重建的新方法的同时,我们的方法提出了有关干旱空间动力学的关键方面,这可能支持干旱的预测。
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来源期刊
Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics 地学-地球化学与地球物理
CiteScore
4.00
自引率
0.00%
发文量
21
审稿时长
6-12 weeks
期刊介绍: Nonlinear Processes in Geophysics (NPG) is an international, inter-/trans-disciplinary, non-profit journal devoted to breaking the deadlocks often faced by standard approaches in Earth and space sciences. It therefore solicits disruptive and innovative concepts and methodologies, as well as original applications of these to address the ubiquitous complexity in geoscience systems, and in interacting social and biological systems. Such systems are nonlinear, with responses strongly non-proportional to perturbations, and show an associated extreme variability across scales.
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