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Hamiltonian distributed chaos and predictability in large-scale climate dynamics
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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 07:48
Last Updated: 2019-02-21 01:03
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