0105241 - UIVT-O 20040232 RIV US eng J - Journal Article
Paluš, Milan - Novotná, Dagmar
Enhanced Monte Carlo Singular System Analysis and Detection of Period 7.8 Years Oscillatory Modes in the Monthly NAO Index and Temperature Records.
[Vylepšená metoda Monte Carlo Singular Systém Analysis a detekce oscilací s periodou 7,8 roku v měsíčním indexu NAO a teplotních záznamech.]
Nonlinear Processes in Geophysics. Roč. 11, - (2004), s. 721-729. ISSN 1023-5809. E-ISSN 1607-7946
R&D Projects: GA AV ČR IAA3042401
Keywords : signal detecting * Monte Carlo SSA * period 7.8 years cycles * temperature * NAO
Subject RIV: BA - General Mathematics
Impact factor: 1.324, year: 2004
DOI: https://doi.org/10.5194/npg-11-721-2004

An extension of the Monte Carlo Singular System Analysis (MC~SSA) is described, based on evaluating and testing regularity of dynamics of the SSA modes against the colored noise null hypothesis, in addition to the test based on variance (eigenvalues). The application of the regularity index, computed from a coarse-grained estimation of mutual information, enhances the test sensitivity and reliability in detection of relatively more regular dynamical modes than those obtained by decomposition of colored noises, in particular, in detection of irregular oscillations embedded in red noise. This enhanced MC~SSA is successfully applied in detection of period 7.8 years oscillatory modes in records of monthly average near-surface air temperature from several European locations, as well as in the monthly North Atlantic Oscillation index.

Je navrženo rozšíření metody Monte Carlo Singular Systém Analysis, ve které se testují dynamické vlastnosti SSA módů vůči nulové hypotéze barevného šumu navíc k testu variance (vlastních hodnot). Navržena metoda je úspěšně použita k detekci oscilací s periodou 7,8 roku v dlouhodobých záznamech přízemních teplot z několika evropských stanic a v měsíčním indexu severoatlantické oscilace.
Permanent Link: http://hdl.handle.net/11104/0012488