Interaction Processes between the Annual Wave and the Disturbances in Series of Daily Temperature

Abstract

Recently daily series of meteorological variables have been studied according to signal-noise patterns by different authors. Later on, the persistence phenomenon was modeled as an autoregressive structure of Markovian red noise. In series of daily anomalies obtained from filtered annual wave, a particular memory remains that is seasonally dependent. The method presented in this paper allows the modeling of (a) seasonal and intraseasonal variation of persistence, and (b) temporal distant action between perturbations. Data are showing that temporal distant action between perturbations would result from slow changes in border conditions, such as ENSO. Four examples of previous changes in the structure of daily extreme temperature series of San Miguel de Tucumán, Argentina, known as “season structure,” are shown. One of them corresponds to the El Niño/no El Niño dichotomic phenomenon.