Precursors of the El Ni\~no Phenomenon: A climate network analysis
Phys. Rev. E 103, 040301 (2021) The identification of precursors of climatic phenomena has enormous practical importance. Recent work constructs a climate network based on surface air temperature data to analyze the El Ni\~no phenomena. We utilize microtransitions which occur before the discontinuou...
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| creator | Sonone, Rupali Gupte, Neelima |
| description | Phys. Rev. E 103, 040301 (2021) The identification of precursors of climatic phenomena has enormous practical
importance. Recent work constructs a climate network based on surface air
temperature data to analyze the El Ni\~no phenomena. We utilize
microtransitions which occur before the discontinuous percolation transition in
the network as well as other network quantities to identify a set of reliable
precursors of El Ni\~no episodes. These precursors identify nine out of twelve
El Ni\~no episodes occurring in the period of 1979 to 2018 with a lead time
varying from six to ten months. We also find indicators of tipping events in
the data. |
| doi_str_mv | 10.48550/arxiv.2002.04530 |
| format | Article |
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importance. Recent work constructs a climate network based on surface air
temperature data to analyze the El Ni\~no phenomena. We utilize
microtransitions which occur before the discontinuous percolation transition in
the network as well as other network quantities to identify a set of reliable
precursors of El Ni\~no episodes. These precursors identify nine out of twelve
El Ni\~no episodes occurring in the period of 1979 to 2018 with a lead time
varying from six to ten months. We also find indicators of tipping events in
the data.</description><identifier>DOI: 10.48550/arxiv.2002.04530</identifier><language>eng</language><subject>Physics - Atmospheric and Oceanic Physics</subject><creationdate>2020-02</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2002.04530$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2002.04530$$DView paper in arXiv$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.1103/PhysRevE.103.L040301$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink></links><search><creatorcontrib>Sonone, Rupali</creatorcontrib><creatorcontrib>Gupte, Neelima</creatorcontrib><title>Precursors of the El Ni\~no Phenomenon: A climate network analysis</title><description>Phys. Rev. E 103, 040301 (2021) The identification of precursors of climatic phenomena has enormous practical
importance. Recent work constructs a climate network based on surface air
temperature data to analyze the El Ni\~no phenomena. We utilize
microtransitions which occur before the discontinuous percolation transition in
the network as well as other network quantities to identify a set of reliable
precursors of El Ni\~no episodes. These precursors identify nine out of twelve
El Ni\~no episodes occurring in the period of 1979 to 2018 with a lead time
varying from six to ten months. We also find indicators of tipping events in
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importance. Recent work constructs a climate network based on surface air
temperature data to analyze the El Ni\~no phenomena. We utilize
microtransitions which occur before the discontinuous percolation transition in
the network as well as other network quantities to identify a set of reliable
precursors of El Ni\~no episodes. These precursors identify nine out of twelve
El Ni\~no episodes occurring in the period of 1979 to 2018 with a lead time
varying from six to ten months. We also find indicators of tipping events in
the data.</abstract><doi>10.48550/arxiv.2002.04530</doi><oa>free_for_read</oa></addata></record> |
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| title | Precursors of the El Ni\~no Phenomenon: A climate network analysis |
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