Articles | Volume 12, issue 1
Research article
31 Mar 2021
Research article |  | 31 Mar 2021

A climate network perspective on the intertropical convergence zone

Frederik Wolf, Aiko Voigt, and Reik V. Donner

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Cited articles

Adam, O., Bischoff, T., and Schneider, T.: Seasonal and Interannual Variations of the Energy Flux Equator and ITCZ. Part I: Zonally Averaged ITCZ Position, J. Climate, 29, 3219–3230,, 2016. a, b
Adam, O., Schneider, T., and Brient, F.: Regional and seasonal variations of the double-ITCZ bias in CMIP5 models, Clim. Dynam., 51, 101–117, 2018. a, b
Biasutti, M. and Voigt, A.: Seasonal and CO2-Induced Shifts of the ITCZ: Testing Energetic Controls in Idealized Simulations with Comprehensive Models, J. Climate, 33, 2853–2870,, 2020. a, b, c, d
Biasutti, M., Voigt, A., Boos, W. R., Braconnot, P., Hargreaves, J. C., Harrison, S. P., Kang, S. M., Mapes, B. E., Scheff, J., Schumacher, C., Sobel, A. H., and Xie, S.-P.: past, present and future monsoons, Nat. Geosci., 11, 392–400,, 2018. a, b, c, d
Boers, N., Bookhagen, B., Marwan, N., Kurths, J., and Marengo, J. A.: Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System, Geophys. Res. Lett., 40, 4386–4392,, 2013. a
Short summary
In our work, we employ complex networks to study the relation between the time mean position of the intertropical convergence zone (ITCZ) and sea surface temperature (SST) variability. We show that the information hidden in different spatial SST correlation patterns, which we access utilizing complex networks, is strongly correlated with the time mean position of the ITCZ. This research contributes to the ongoing discussion on drivers of the annual migration of the ITCZ.
Final-revised paper