Atmospheric temperature time series analysis at Mt. Cimone Observatory, Italy, 1946–1991

1992 ◽  
Vol 15 (4) ◽  
pp. 381-390 ◽  
Author(s):  
V. Cundari ◽  
T. Colombo
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Atmospheric Temperature ◽  
Temperature Time Series ◽  
Series Analysis ◽  
Temperature Time

scholarly journals Temperature time series analysis at Yucatan using natural and horizontal visibility algorithms

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0226598
Author(s):  
J. Alberto Rosales-Pérez ◽  
Efrain Canto-Lugo ◽  
David Valdés-Lozano ◽  
Rodrigo Huerta-Quintanilla
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Temperature Time Series ◽  
Horizontal Visibility ◽  
Series Analysis ◽  
Temperature Time

scholarly journals Evidence of structured Brownian dynamics from temperature time series analysis

1997 ◽  
Vol 4 (4) ◽  
pp. 251-254
Author(s):  
A. Pasini ◽  
V. Pelino ◽  
S. Potestà
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Spectrum Analysis ◽  
Brownian Dynamics ◽  
Singular Spectrum Analysis ◽  
Temperature Time Series ◽  
Singular Spectrum ◽  
The Usa ◽  
Temperature Time ◽  
Analysis Of Time Series

Abstract. An analysis of time series of monthly mean temperatures ranging from 1895 to 1989 is performed through application of Singular Spectrum Analysis (SSA) to data of several places in the USA. A common dynamics in the reconstructed spaces is obtained, with the evidence of a non-trivial and structured coupling of two Brownian motions, resembling the so-called Lévy flights. The idea that these two correlated functions are related to the zonal and eddy components of the atmospheric motions is suggested.

SEARCHING FOR PERSISTENCE IN ATMOSPHERIC TEMPERATURE TIME SERIES: A RE-VISITATION OF RESULTS FROM DETRENDED FLUCTUATION ANALYSIS

2009 ◽  
Vol 23 (28n29) ◽  
pp. 5417-5423 ◽  
Author(s):  
TIZIANA SIMONIELLO ◽  
ROSA COPPOLA ◽  
VINCENZO CUOMO ◽  
MARIAGRAZIA D'EMILIO ◽  
MARIA LANFREDI ◽  
...  
Keyword(s):  
Time Series ◽  
Scale Invariance ◽  
Detrended Fluctuation Analysis ◽  
Atmospheric Temperature ◽  
Temperature Time Series ◽  
Statistical Dependence ◽  
Fluctuation Analysis ◽  
Local Character ◽  
Detrended Fluctuation ◽  
Temperature Time

We re-analyze historical daily atmospheric temperature time series for investigating long-range correlation. Such a problem is attracting much attention due to the deep importance of assessing statistical dependence of atmospheric phenomena on climatic scales in the context of Climate modeling. In particular, we adopt Detrended Fluctuation Analysis (DFA), which is one of the most used techniques for detecting scale invariance in stationary signals contaminated by external non-stationary disturbances. A very standard application of this methodology seems to evidence persistence power-law exponents close to 0.65 on time scales greater than the meteorological one (>15 days). Nevertheless, more careful investigations put into evidence the local character of this exponent whose value decays progressively with scale. Our results show that the simple detection of approximately straight lines in a log–log plot cannot be considered as a signature of scale invariance and local scale features have to be explicitly investigated.

scholarly journals Statistical significance of trends and trend differences in layer-average atmospheric temperature time series

2000 ◽  
Vol 105 (D6) ◽  
pp. 7337-7356 ◽  
Author(s):  
B. D. Santer ◽  
T. M. L. Wigley ◽  
J. S. Boyle ◽  
D. J. Gaffen ◽  
J. J. Hnilo ◽  
...  
Keyword(s):  
Time Series ◽  
Statistical Significance ◽  
Atmospheric Temperature ◽  
Temperature Time Series ◽  
Temperature Time

Review of Time Series Analysis: Regression Techniques (2nd ed.).

1991 ◽  
Vol 36 (4) ◽  
pp. 349-349
Author(s):  
No authorship indicated
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Series Analysis ◽  
Regression Techniques
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