Graph theory in analysis of paleoclimatic time series

Authors

  • Irina Knyazeva The Central Astronomical Observatory of the Russian Academy of Sciences at Pulkovo, Saint-Petersburg, Russia https://orcid.org/0000-0003-0026-6047
  • Nikolay Makarenko The Central Astronomical Observatory of the Russian Academy of Sciences at Pulkovo, Saint-Petersburg, Russia
  • Alexandr Pak Institute of Information and Computational Technologies, Almaty, Kazakhstan

Keywords:

climatic series, Wolf numbers, solar activity, algebraic topology

Abstract

At the current work, we present the results of diagnostic of similarities of various paleo reconstructions of temperatures with the help of network approaches. The first step of data processing is transformations of correlational patterns of time series into the geometry of the corresponding network, which is an input for further processing steps by methods of algebraic topology. To detect the possible non-linear connections between climatic series and solar activity, we propose the approach based on network generation with the help of embedding time series into the feature space of the corresponding dimension. In conclusion, we give markovian chains for climatic reconstructions and Wolf numbers.

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Published

2021-09-23

How to Cite

Knyazeva, I., Makarenko, N., & Pak, A. (2021). Graph theory in analysis of paleoclimatic time series. ADVANCED TECHNOLOGIES AND COMPUTER SCIENCE, (3), 10–16. Retrieved from https://atcs.iict.kz/index.php/atcs/article/view/62

Issue

Section

Applied mathematics, computer science and control theory