EconPapers    
Economics at your fingertips  
 

Spatial and temporal scales of atmospheric dynamics

Nikola Jajcay
Additional contact information
Nikola Jajcay: Institute of Computer Science, Czech Academy of Sciences

No ar8ks, Thesis Commons from Center for Open Science

Abstract: Earth climate, in general, varies on many temporal and spatial scales. In particular, climate observables exhibit recurring patterns and quasi-oscillatory phenomena with different periods. Although these oscillations might be weak in amplitude, they might have a non-negligible influence on variability on shorter time-scales due to cross-scale interactions, recently observed by Paluš [2014]. This thesis supplies an introductory material for inferring the cross-scale information transfer from observational data, where the time series of interest are obtained using wavelet transform, and possible information transfer is studied using the tools from information theory. Finally, cross-scale interactions are studied in two climate phenomena: air temperature variability in Europe, in which we study phase-amplitude coupling from a slower oscillatory mode with an 8-year period on faster variability and its effects, and El Niño/Southern Oscillation where we observe a causal chain of phase-phase and phase-amplitude couplings among distinct oscillatory modes.

Date: 2018-05-03
New Economics Papers: this item is included in nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5af8c285da163200131f8bcf/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:thesis:ar8ks

DOI: 10.31219/osf.io/ar8ks

Access Statistics for this paper

More papers in Thesis Commons from Center for Open Science
Bibliographic data for series maintained by OSF ().

 
Page updated 2025-03-19
Handle: RePEc:osf:thesis:ar8ks