Articles | Volume 14, issue 1
https://doi.org/10.5194/esd-14-17-2023
https://doi.org/10.5194/esd-14-17-2023
Research article
 | 
12 Jan 2023
Research article |  | 12 Jan 2023

Evaluation of global teleconnections in CMIP6 climate projections using complex networks

Clementine Dalelane, Kristina Winderlich, and Andreas Walter

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Cited articles

Agarwal, A., Maheswaran, R., Marwan, N., Caesar, L., and Kurths, J.: Wavelet-based multiscale similarity measure for complex networks, Eur. Phys. J. B, 91, 296, https://doi.org/10.1140/epjb/e2018-90460-6, 2018. a
Agarwal, A., Caesar, L., Marwan, N., Maheswaran, R., Merz, B., and Kurths, J.: Network-based identification and characterization of teleconnections on different scales, Sci. Rep., 9, 8808, https://doi.org/10.1038/s41598-019-45423-5, 2019. a
Barbosa, S. M. and Andersen, O. B.: Trend patterns in global sea surface temperature, Int. J. Climatol., 29, 2049–2055, https://doi.org/10.1002/joc.1855, 2009. a
Battiston, F., Cencetti, G., Iacopini, I., Latora, V., M., L., Patania, A., Young, J.-G., and Petri, G.: Networks beyond pairwise interactions: Structure and dynamics, Phys. Rep., 874, 1–92, https://doi.org/10.1016/j.physrep.2020.05.004, 2020. a
Benjamini, Y.: Discovering the false discovery rate, J. R. Statist. Soc. B, 72, 405–416, https://doi.org/10.1111/j.1467-9868.2010.00746.x, 2010. a
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The realistic representation of global teleconnections is an indispensable requirement for the reliable simulation of low-frequency climate variability and climate change. We present an application of the complex network framework to quantify and evaluate large-scale interactions within and between ocean and atmosphere in 22 historical CMIP6 climate projections with respect to two century-long reanalyses.
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