Yanayi a matsayin hanyoyin sadarwa masu rikitarwa
 Yanayi a matsayin hanyoyin sadarwa masu rikitarwa |
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Yankin cibiyoyin sadarwa masu rikitarwa ya fito ne a matsayin muhimmin yanki na kimiyya don samar da sabon fahimta game da yanayin tsarin rikitarwa [1] Aikace-aikacen ka'idar cibiyar sadarwa ga kimiyyar yanayi yanki ne mai tasowa.[2][3][4] Don ganowa da kuma nazarin alamu a cikin yanayi na duniya, masana kimiyya suna tsara bayanan yanayi a matsayin hanyoyin sadarwa masu rikitarwa.
Ba kamar yawancin cibiyoyin sadarwa na duniya ba inda aka bayyana nodes da gefuna sosai, a cikin cibiyoyin sadarwar yanayi, ana gano nodes a matsayin shafuka a cikin grid na sararin samaniya na bayanan yanayi na duniya, wanda za'a iya wakilta shi a ƙuduri daban-daban. An haɗa nodes guda biyu ta gefen dangane da matakin kamanceceniyar kididdiga (wanda zai iya kasancewa da alaƙa da dogaro) tsakanin nau'ikan nau'ikan lokaci-jerin da aka ɗauka daga bayanan yanayi.[3][5] Hanyar cibiyar sadarwa ta yanayi tana ba da haske game da yanayin yanayin yanayin yanayi a kan ma'auni daban-daban na sararin samaniya da na lokaci.[3]
Gina hanyoyin sadarwar yanayi
[gyara sashe | gyara masomin]Dangane da zaɓin nodes da / ko gefuna, hanyoyin sadarwar yanayi na iya ɗaukar siffofi daban-daban, siffofi, girma da rikitarwa. Tsonis et al. sun gabatar da filin cibiyoyin sadarwa masu rikitarwa ga yanayi. A cikin samfurin su, nodes na cibiyar sadarwa sun kasance ta hanyar canji guda ɗaya (500 hPa) daga NCEP / NCAR Reanalysis dataets. Don kimanta gefuna tsakanin nodes, an kiyasta ma'aunin daidaitawa a lokaci mara kyau tsakanin dukkan nau'ikan nodes. An yi la'akari da nau'i biyu da aka haɗa, idan ma'aunin ma'auni ya fi ƙofar 0.5 .[1]
Steinhaeuser da tawagar sun gabatar da sabuwar dabarar cibiyoyin sadarwa masu yawa a cikin yanayi ta hanyar gina cibiyoyin sadarwar daga sauye-sauyen yanayi daban-daban kuma kama hulɗar su a cikin tsarin tsinkaya mai yawa. An nuna a cikin binciken su cewa a cikin yanayin yanayi, cire masu tsinkaya bisa ga halayen rukuni yana samar da abubuwan da ke da bayanai don inganta ƙwarewar tsinkaya.[5]
Kawale et al. sun gabatar da tsarin da ya danganci hoto don samun dipoles a cikin bayanan matsin lamba. Idan aka ba da muhimmancin Haɗin kai, wannan hanyar tana da damar samar da mahimman bayanai.[6]
Imme et al. sun gabatar da sabon nau'in gine-ginen cibiyar sadarwa a cikin yanayi wanda ya dogara da samfurin zane-zane na lokaci, wanda ke ba da madadin ra'ayi ta hanyar mai da hankali kan kwararar bayanai a cikin cibiyar sadarwa tsawon lokaci.[7]
Agarwal et al. sun ba da shawarar hanyoyin da suka dace [8] da wadanda ba na layi ba [9] don gina da bincika hanyoyin sadarwar yanayi a lokuta daban-daban. Cibiyoyin sadarwar yanayi da aka gina ta amfani da bayanan SST a lokuta daban-daban sun nuna cewa bincike mai yawa na matakai na yanayi yana da alkawarin fahimtar tsarin tsarin da za a iya rasa lokacin da ake nazarin matakai a lokaci ɗaya kawai [10]
Aikace-aikacen hanyoyin sadarwar yanayi
[gyara sashe | gyara masomin]Cibiyoyin sadarwar yanayi suna ba da damar fahimta game da yanayin tsarin yanayi a kan ma'auni da yawa. An yi amfani da tsakiya na cikin gida da matakan da suka danganci don gano super-nodes da kuma haɗa su da sanannun alaƙa da juna a cikin yanayi, wanda ake kira alamun Haɗin kai. An lura cewa cibiyoyin sadarwar yanayi suna da kaddarorin "ƙaramin duniya" saboda haɗin sararin samaniya mai tsawo.[2]
Steinhaeuser et al. sun yi amfani da cibiyoyin sadarwa masu rikitarwa don bincika dogaro da yawa da yawa a cikin bayanan yanayi. Binciken kungiyar ya ba da shawarar kamanceceniya da aka lura da alamu na dogaro a cikin masu canji da yawa a kan lokaci da yawa da ma'auni na sarari. [4]
Tsonis da Roeber sun bincika tsarin haɗin gwiwar cibiyar sadarwar yanayi. An gano cewa cibiyar sadarwa gaba ɗaya ta fito ne daga hanyoyin sadarwa da aka haɗa. Ɗaya daga cikin subnetwork yana aiki a tsaunuka mafi girma kuma ɗayan yana aiki a cikin wurare masu zafi, yayin da subnetwork na equatorial ke aiki a matsayin wakili wanda ke haɗa sassan biyu. Kodayake, duka cibiyoyin sadarwa suna da Ƙananan Dukiyawan Duniya, ƙananan cibiyoyin 2 sun bambanta da juna dangane da kadarorin cibiyar sadarwa kamar rarraba digiri.[11]
Manazarta
[gyara sashe | gyara masomin]- ↑ 1.0 1.1 Albert, Réka; Barabási, Albert-László (2002). "Statistical mechanics of complex networks". Reviews of Modern Physics. 74 (1): 47–97. arXiv:cond-mat/0106096. Bibcode:2002RvMP...74...47A. doi:10.1103/RevModPhys.74.47. ISSN 0034-6861. S2CID 60545. Cite error: Invalid
<ref>tag; name "AlbertBarabási2002" defined multiple times with different content - ↑ 2.0 2.1 Tsonis, Anastasios A.; Swanson, Kyle L.; Roebber, Paul J. (2006). "What Do Networks Have to Do with Climate?". Bulletin of the American Meteorological Society. 87 (5): 585–595. Bibcode:2006BAMS...87..585T. doi:10.1175/BAMS-87-5-585. ISSN 0003-0007. Cite error: Invalid
<ref>tag; name "TsonisSwanson2006" defined multiple times with different content - ↑ 3.0 3.1 3.2 Donges, J. F.; Zou, Y.; Marwan, N.; Kurths, J. (2009). "Complex Networks in Climate Dynamics". The European Physical Journal Special Topics. Springer-Verlag. 174 (1): 157–179. arXiv:0907.4359. Bibcode:2009EPJST.174..157D. doi:10.1140/epjst/e2009-01098-2. S2CID 2375970. Cite error: Invalid
<ref>tag; name "first" defined multiple times with different content - ↑ 4.0 4.1 Steinhaeuser, Karsten; Ganguly, Auroop R.; Chawla, Nitesh V. (2011). "Multivariate and multiscale dependence in the global climate system revealed through complex networks". Climate Dynamics. 39 (3–4): 889–895. Bibcode:2012ClDy...39..889S. doi:10.1007/s00382-011-1135-9. ISSN 0930-7575. S2CID 12086088. Cite error: Invalid
<ref>tag; name "SteinhaeuserGanguly2011" defined multiple times with different content - ↑ 5.0 5.1 Steinhaeuser, K.; Chawla, N.V.; Ganguly, A.R. (2010). "Complex Networks as a Unified Framework for Descriptive Analysis and Predictive Modeling in climate science". Statistical Analysis and Data Mining. John Wiley & Sons, Inc. 4 (5): 497–511. doi:10.1002/sam.10100. S2CID 6035317. Cite error: Invalid
<ref>tag; name "Third" defined multiple times with different content - ↑ Kawale J.; Liess S.; Kumar A.; Steinbach M.; Ganguly A.R.; Samatova F.; Semazzi F.; Snyder K.; Kumar V. (2011). "Data Guided Discovery of Dynamic Climate Dipoles" (PDF). Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19–21, 2011, Mountain View, California: 30–44.
- ↑ Imme, Ebert-Uphoff; Deng, Yi (2012). "A new type of climate network based on probabilistic graphical models: Results of boreal winter versus summer". Geophysical Research Letters. Springer-Verlag. 39 (19): 157–179. Bibcode:2012GeoRL..3919701E. doi:10.1029/2012GL053269.
- ↑ Agarwal, Ankit; Maheswaran, Rathinasamy; Marwan, Norbert; Caesar, Levke; Kurths, Jürgen (November 2018). "Wavelet-based multiscale similarity measure for complex networks" (PDF). The European Physical Journal B. 91 (11). doi:10.1140/epjb/e2018-90460-6. eISSN 1434-6036. ISSN 1434-6028. S2CID 254116434 Check
|s2cid=value (help). - ↑ Agarwal, Ankit; Marwan, Norbert; Rathinasamy, Maheswaran; Merz, Bruno; Kurths, Jürgen (13 October 2017). "Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach". Nonlinear Processes in Geophysics. 24 (4): 599–611. doi:10.5194/npg-24-599-2017. eISSN 1607-7946. S2CID 28114574.
- ↑ Agarwal, Ankit; Caesar, Levke; Marwan, Norbert; Maheswaran, Rathinasamy; Merz, Bruno; Kurths, Jürgen (19 June 2019). "Network-based identification and characterization of teleconnections on different scales". Scientific Reports. 9 (1): 8808. doi:10.1038/s41598-019-45423-5. eISSN 2045-2322. PMC 6584743. PMID 31217490.
- ↑ Tsonis, A.A.; Roebber, P.J. (2004). "The architecture of the climate network". Physica A: Statistical Mechanics and Its Applications. 333: 497–504. Bibcode:2004PhyA..333..497T. doi:10.1016/j.physa.2003.10.045. ISSN 0378-4371.