Hamiltonian distributed chaos and predictability in large-scale climate dynamics
Hamiltonian distributed chaos and predictability in large-scale climate dynamics

This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

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Authors

Alexander Bershadskii

Abstract

It is shown that the large-scale climate dynamics, represented by the daily indices of the North Atlantic (NAO), Pacific/North American (PNA), Arctic (AO) and Antarctic (AAO) oscillations, Asian-Australian Monsoons (ISM, WNPM and AUSM) and El Nino/La Nina phenomenon (Nino indices) as well as global temperature anomalies (land), is dominated by the Hamiltonian distributed chaos with the stretched exponential spectrum. The predictability problem (predictability horizon properties) has been also discussed in this context.

DOI

https://doi.org/10.31223/osf.io/fhmbg

Subjects

Climate, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Keywords

climate, atmosphere, global temperature, ENSO, chaos, Hamiltonian

Dates

Published: 2018-08-14 22:48

Last Updated: 2019-02-21 17:03

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License

CC BY Attribution 4.0 International

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