Literature DB >> 18643468

Topology and predictability of El Niño and La Niña networks.

Anastasios A Tsonis1, Kyle L Swanson.   

Abstract

We construct the networks of the surface temperature field for El Niño and for La Niña years and investigate their structure. We find that the El Niño network possesses significantly fewer links and lower clustering coefficient and characteristic path length than the La Niña network, which indicates that the former network is less communicative and less stable than the latter. We conjecture that because of this, predictability of temperature should decrease during El Niño years. Here we verify that indeed during El Niño years predictability is lower compared to La Niña years.

Year:  2008        PMID: 18643468     DOI: 10.1103/PhysRevLett.100.228502

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  10 in total

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2.  Network analysis reveals strongly localized impacts of El Niño.

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Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-03       Impact factor: 11.205

3.  Stability of climate networks with time.

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Journal:  Sci Rep       Date:  2012-09-18       Impact factor: 4.379

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5.  Exploring Spatio-temporal Dynamics of Cellular Automata for Pattern Recognition in Networks.

Authors:  Gisele Helena Barboni Miranda; Jeaneth Machicao; Odemir Martinez Bruno
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6.  Identifying large-scale patterns of unpredictability and response to insolation in atmospheric data.

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Journal:  Sci Rep       Date:  2017-03-30       Impact factor: 4.379

7.  Constructing regional climate networks in the Amazonia during recent drought events.

Authors:  Heng Guo; Antônio M T Ramos; Elbert E N Macau; Yong Zou; Shuguang Guan
Journal:  PLoS One       Date:  2017-10-17       Impact factor: 3.240

8.  Relationships between transmission of malaria in Africa and climate factors.

Authors:  Biseko Juma Mafwele; Jae Woo Lee
Journal:  Sci Rep       Date:  2022-08-23       Impact factor: 4.996

9.  Climate dynamics: a network-based approach for the analysis of global precipitation.

Authors:  Stefania Scarsoglio; Francesco Laio; Luca Ridolfi
Journal:  PLoS One       Date:  2013-08-19       Impact factor: 3.240

10.  Evaluation of ENSO simulations in CMIP5 models: A new perspective based on percolation phase transition in complex networks.

Authors:  Zhenghui Lu; Zuntao Fu; Lijuan Hua; Naiming Yuan; Lin Chen
Journal:  Sci Rep       Date:  2018-10-08       Impact factor: 4.379

  10 in total

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