Characterizing Flows by Complex Network Methods

Donner, Reik V.; Lindner, Michael; Tupikina, Liubov; Molkenthin, Nora

doi:10.1007/978-3-319-78512-7_11

Cited by 12 publications

(11 citation statements)

References 96 publications

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“…The high resolution of this configuration and the full coupling among its ocean, atmosphere, and land components provide an unprecedented opportunity to properly address possible changes in transport horizontal patterns at climatic scales (Frenger et al, 2013; Oerder et al, 2016). To this aim, we use the Lagrangian flow network (LFN) approach (Donner et al, 2019; Ser‐Giacomi, Rossi, et al, 2015), which is based on a probabilistic description of fluid transport (Ser‐Giacomi, Vasile, et al, 2015; Ser‐Giacomi et al, 2015). It suits well with the need to extract reliable long‐term signals at different spatiotemporal scales (Rossi et al, 2014), hence characterizing transport phenomena in various, yet complementary, manners.…”

Section: Introductionmentioning

confidence: 99%

Impact of Climate Change on Surface Stirring and Transport in the Mediterranean Sea

Ser‐Giacomi

Sánchez

Soto‐Navarro

et al. 2020

Geophysical Research Letters

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Understanding how climate change will affect oceanic fluid transport is crucial for environmental applications and human activities. However, a synoptic characterization of the influence of climate change on mesoscale stirring and transport in the surface ocean is missing. To bridge this gap, we exploit a high-resolution, fully coupled climate model of the Mediterranean basin using a Network Theory approach. We project significant increases of horizontal stirring and kinetic energies in the next century, likely due to increments of available potential energy. The future evolution of basin-scale transport patterns hints at a rearrangement of the main hydrodynamic provinces, defined as regions of the surface ocean that are well mixed internally but with minimal cross-flow across their boundaries. This results in increased heterogeneity of province sizes and stronger mixing in their interiors. Our approach can be readily applied to other oceanic regions, providing information for the present and future marine spatial planning. Plain Language Summary Transport and mixing of water masses driven by ocean currents influence a variety of fundamental processes, including heat redistribution, ecosystem functioning, and pollutants spreading. Therefore, understanding how fluid transport will be affected by climate change is crucial, in particular in the ocean surface, where marine life and human activities are concentrated. Here, we exploit a state-of-the-art climate model over the Mediterranean basin using a novel methodology which integrates Network Theory concepts with Lagrangian modeling. We assess past conditions and future changes at climatic scales of ocean stirring and transport over the entire basin. Our results reveal a significant increment of surface stirring linked to an increase of currents kinetic energy, which in turn could be ascribed to increments of available potential energy. We then provide a regionalization of the ocean surface based on hydrodynamic provinces that are well mixed internally but with little leaking across their boundaries. Our model project an increased heterogeneity of province sizes and a stronger mixing in their interiors, while their mean area and coherence remain unaffected. Our approach could be applied to other oceanic domains and help designing adaptive strategies for marine spatial planning.

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Section: Introductionmentioning

confidence: 99%

Impact of Climate Change on Surface Stirring and Transport in the Mediterranean Sea

Ser‐Giacomi

Sánchez

Soto‐Navarro

et al. 2020

Geophysical Research Letters

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“…A diversity of methods has been developed, and some of them deal with the particularities of the climate system [39]. One of the underlying ideas in climate causality is the inference of flows, of which there are only scalar observations [9]. Here the state of the art Granger causality method [40] is used.…”

Section: Granger Causalitymentioning

confidence: 99%

“…Recently, however, the use of complex networks to identify causal flows, indicative of matter and energy flows, has gained much ground in climatology. This is a data-based approach that has been explored to characterize flows [9] based on data only. This characterization is beneficial in two main ways [10]: (1) it provides more information on known physical processes and mechanisms, and (2) it allows one to hypothesize on those that were previously unknown.…”

Section: Introductionmentioning

confidence: 99%

Virtual Control Volume Approach to the Study of Climate Causal Flows: Identification of Humidity and Wind Pathways of Influence on Rainfall in Ecuador

et al. 2020

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Unraveling the relationship between humidity, wind, and rainfall is vitally important to understand the dynamics of water vapor transport. In recent years, the use of causal networks to identify causal flows has gained much ground in the field of climatology to provide new insights about physical processes and hypothesize previously unknown ones. In this paper, the concept of a virtual control volume is proposed, which resembles the Eulerian description of a vector field, but is based on causal flows instead. A virtual control surface is used to identify the influence of surrounding climatic processes on the control volume (i.e., the study region). Such an influence is characterized by using a causal inference method that gives information about its direction and strength. The proposed approach was evaluated by inferring and spatially delineating areas of influence of humidity and wind on the rainfall of Ecuador. It was possible to confirm known patterns of influence, such as the influence of the Pacific Ocean on the coast and the influence of the Atlantic Ocean on the Amazon. Moreover, the approach was able to identify plausible new hypotheses, such as the influence of humidity on rainfall in the northern part of the boundary between the Andes and the Amazon, as well as the origin (the Amazon or the tropical Atlantic) and the altitude at which surrounding humidity and wind influence rainfall within the control volume. These hypotheses highlight the ability of the approach to exploit a large amount of scalar data and identify pathways of influence between climatic variables.

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“…Devido a sua fácil e eficiente aplicação encontram-se trabalhos utilizando os conceitos de redes complexas em diferentesáreas do conhecimento, como por exemplo: na biologia [Donner et al 2019] e física estatística [Cimini et al 2019].…”

Section: Introductionunclassified

Estudo comparativo de métricas de ranking em Redes Sociais

Silva¹,

Goulart

Schettini

et al. 2020

Anais Do Encontro Nacional De Computação Dos Institutos Federais (EnCompIF 2020)

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The use of modeling and application of complex networks in several areas of knowledge have become an important tool for understanding different phenomena; among them some related to the structures and dissemination of information on social medias. In this sense, the use of a network's vertex ranking can be applied in the detection of influential nodes and possible foci of information diffusion. However, calculating the position of the vertices in some of these rankings may require a high computational cost. This paper presents a comparative study between six ranking metrics applied in different social medias. This comparison is made using the rank correlation coefficients. In addition, a study is presented on the computational time spent by each ranking. Results show that the Grau ranking metric has a greater correlation with other metrics and has low computational cost in its execution, making it an efficient indication in detecting influential nodes when there is a short term for the development of this activity.

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Characterizing Flows by Complex Network Methods

Cited by 12 publications

References 96 publications

Impact of Climate Change on Surface Stirring and Transport in the Mediterranean Sea

Impact of Climate Change on Surface Stirring and Transport in the Mediterranean Sea

Virtual Control Volume Approach to the Study of Climate Causal Flows: Identification of Humidity and Wind Pathways of Influence on Rainfall in Ecuador

Estudo comparativo de métricas de ranking em Redes Sociais

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