A climate network perspective on the intertropical convergence zone

Wolf, Frederik; Voigt, Aiko; Donner, Reik V.

doi:https://doi.org/10.5194/esd-12-353-2021

Articles | Volume 12, issue 1

https://doi.org/10.5194/esd-12-353-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esd-12-353-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Supplement

https://doi.org/10.5194/esd-12-353-2021-supplement

Data sets

TRACMIP data set A. Voigt and M. Biasutti https://gitlab.phaidra.org/voigta80/tracmip

Model code and software

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package J. F. Donges, J. Heitzig, B. Beronov, M. Wiedermann, J. Runge, Q.-Y. Feng, L. Tupikina, V. Stolbova, R. V. Donner, N. Marwan, H. A. Dijkstra, and J. Kurths https://github.com/pik-copan/pyunicorn

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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.