Conceptual model to generate insight into climate science
The field of complex networks has emerged as an important area of science to generate novel insights into nature of complex systems[1] The application of network theory to climate science is a young and emerging field.[2][3][4] To identify and analyze patterns in global climate, scientists model climate data as complex networks.
Unlike most real-world networks where nodes and edges are well defined, in climate networks, nodes are identified as the sites in a spatial grid of the underlying global climate data set, which can be represented at various resolutions. Two nodes are connected by an edge depending on the degree of statistical similarity (that may be related to dependence) between the corresponding pairs of time-series taken from climate records.[3][5]
The climate network approach enables novel insights into the dynamics of the climate system over different spatial and temporal scales.[3]
^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: The named reference TsonisSwanson2006 was invoked but never defined (see the help page).
^ abcDonges, J. F.; Zou, Y.; Marwan, N.; Kurths, J. (2009). "Complex Networks in Climate Dynamics". The European Physical Journal Special Topics. 174 (1). Springer-Verlag: 157–179. arXiv:0907.4359. Bibcode:2009EPJST.174..157D. doi:10.1140/epjst/e2009-01098-2. S2CID 2375970.
^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.
^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. 4 (5). John Wiley & Sons, Inc.: 497–511. doi:10.1002/sam.10100. S2CID 6035317.
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