Berlin 2018 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 73: Poster: Networks, Chimera, Energy Systems
DY 73.4: Poster
Thursday, March 15, 2018, 15:30–18:00, Poster A
Understanding pattern formation in climate networks based on aquaplanet simulations — •Frederik Wolf1,2, Catrin Kirsch1, and Reik Donner1 — 1PIK, Potsdam, Germany — 2HU, Berlin, Germany
During the recent years, it has been shown that tools from complex network theory can effectively extract spatio-temporal variability patterns from climate data. While a close linkage between classical empirical orthogonal functions and network degree has been analytically demonstrated, the interpretation of other higher-order network measures like betweenness in such climate networks has remained an open problem so far.
Here, we aim to disentangle the information on the underlying climate dynamics provided by various network measures. For this purpose, we study datasets from so-called aquaplanet simulations performed within the TRACMIP coordinated experiment.
We construct network representations based upon the spatial correlation structures of temperature, wind, geopotential height and precipitation fields and perform a detailed study on the resulting patterns exhibited by different topological and spatial network characteristics. Some of the obtained network structures can be linked with mechanisms known from the Earth's climate system, while others are specific to the aquaplanet setup. By systematically investigating similarities and differences, we contribute to a better understanding of pattern formation in climate networks.