The temporal correlations in the atmosphere were investigated by means of detrended fluctuation analysis (DFA). The most important advantage of DFA over conventional methods is that it permits the detection of intrinsic self-similarlity embedded in a seemingly nonstationary time series. A statistically significant differences are found for daily minimum and maximum temperatures measured at the same station. The results show that daily maxima characterize better the dynamic equilibrium state of the atmosphere than daily minima, for both the stations.
|Journal||Physical Review E - Statistical, Nonlinear, and Soft Matter Physics|
|Issue number||2 1|
|Publication status||Published - febr. 1 2004|
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability
- Condensed Matter Physics