Dynamics of climate networks

A methodology to analyze dynamical changes in dynamic climate systems based on complex networks and Information Theory quantifiers is discussed. In particular, the square root of the Jensen-Shannon divergence, a measure of dissimilarity between two probability distributions, is used to quantify stat...

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Autores principales: Carpi, L.C., Saco, P.M., Rosso, O.A., Ravetti, M.G.
Formato: JOUR
Materias:
Climate networks
Complex network evolution
El Niño/Southern oscillation
Information theory quantifiers
Jensen-Shannon divergence
Shannon entropy
Degree distributions
Dynamic network topology
Information transfers
Network evolution
Network evolution process
Surface air temperatures
Dynamics
Electric network topology
Information theory
Probability distributions
Climate change
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_21941009_v20_n_p157_Carpi
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_21941009_v20_n_p157_Carpi
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spelling todo:paper_21941009_v20_n_p157_Carpi2023-10-03T16:40:22Z Dynamics of climate networks Carpi, L.C. Saco, P.M. Rosso, O.A. Ravetti, M.G. Climate networks Complex network evolution El Niño/Southern oscillation Information theory quantifiers Jensen-Shannon divergence Shannon entropy Degree distributions Dynamic network topology Information transfers Jensen-Shannon divergence Network evolution Network evolution process Shannon entropy Surface air temperatures Dynamics Electric network topology Information theory Probability distributions Climate change A methodology to analyze dynamical changes in dynamic climate systems based on complex networks and Information Theory quantifiers is discussed. In particular, the square root of the Jensen-Shannon divergence, a measure of dissimilarity between two probability distributions, is used to quantify states in the network evolution process by means of their degree distribution. We explore the evolution of the surface air temperature (SAT) climate network on the Tropical Pacific region. We find that the proposed quantifier is able not only to capture changes in the dynamics of the studied process but also to quantify and compare states in its evolution. The dynamic network topology is investigated for temporal windows of one-year duration over the 1948-2009 period. The use of this novel methodology, allows us to consistently compare the evolving networks topologies and to capture a cyclic behavior consistent with that of El Niño/Southern Oscillation. This cyclic behavior involves alternating states of less/more efficient information transfer during El Niño/La Niña years, respectively, reflecting a higher climatic stability for La Niña years which is in agreement with current observations. The study also detects a change in the dynamics of the network structure, which coincides with the 76/77 climate shift, after which, conditions of less-efficient information transfer are more frequent and intense. © Springer Science+Business Media New York 2012. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_21941009_v20_n_p157_Carpi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Climate networks
Complex network evolution
El Niño/Southern oscillation
Information theory quantifiers
Jensen-Shannon divergence
Shannon entropy
Degree distributions
Dynamic network topology
Information transfers
Jensen-Shannon divergence
Network evolution
Network evolution process
Shannon entropy
Surface air temperatures
Dynamics
Electric network topology
Information theory
Probability distributions
Climate change
spellingShingle Climate networks
Complex network evolution
El Niño/Southern oscillation
Information theory quantifiers
Jensen-Shannon divergence
Shannon entropy
Degree distributions
Dynamic network topology
Information transfers
Jensen-Shannon divergence
Network evolution
Network evolution process
Shannon entropy
Surface air temperatures
Dynamics
Electric network topology
Information theory
Probability distributions
Climate change
Carpi, L.C.
Saco, P.M.
Rosso, O.A.
Ravetti, M.G.
Dynamics of climate networks
topic_facet Climate networks
Complex network evolution
El Niño/Southern oscillation
Information theory quantifiers
Jensen-Shannon divergence
Shannon entropy
Degree distributions
Dynamic network topology
Information transfers
Jensen-Shannon divergence
Network evolution
Network evolution process
Shannon entropy
Surface air temperatures
Dynamics
Electric network topology
Information theory
Probability distributions
Climate change
description A methodology to analyze dynamical changes in dynamic climate systems based on complex networks and Information Theory quantifiers is discussed. In particular, the square root of the Jensen-Shannon divergence, a measure of dissimilarity between two probability distributions, is used to quantify states in the network evolution process by means of their degree distribution. We explore the evolution of the surface air temperature (SAT) climate network on the Tropical Pacific region. We find that the proposed quantifier is able not only to capture changes in the dynamics of the studied process but also to quantify and compare states in its evolution. The dynamic network topology is investigated for temporal windows of one-year duration over the 1948-2009 period. The use of this novel methodology, allows us to consistently compare the evolving networks topologies and to capture a cyclic behavior consistent with that of El Niño/Southern Oscillation. This cyclic behavior involves alternating states of less/more efficient information transfer during El Niño/La Niña years, respectively, reflecting a higher climatic stability for La Niña years which is in agreement with current observations. The study also detects a change in the dynamics of the network structure, which coincides with the 76/77 climate shift, after which, conditions of less-efficient information transfer are more frequent and intense. © Springer Science+Business Media New York 2012.
format JOUR
author Carpi, L.C.
Saco, P.M.
Rosso, O.A.
Ravetti, M.G.
author_facet Carpi, L.C.
Saco, P.M.
Rosso, O.A.
Ravetti, M.G.
author_sort Carpi, L.C.
title Dynamics of climate networks
title_short Dynamics of climate networks
title_full Dynamics of climate networks
title_fullStr Dynamics of climate networks
title_full_unstemmed Dynamics of climate networks
title_sort dynamics of climate networks
url http://hdl.handle.net/20.500.12110/paper_21941009_v20_n_p157_Carpi
work_keys_str_mv AT carpilc dynamicsofclimatenetworks
AT sacopm dynamicsofclimatenetworks
AT rossooa dynamicsofclimatenetworks
AT ravettimg dynamicsofclimatenetworks
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