scholarly journals Time-Scaling Properties of Sunshine Duration Based on Detrended Fluctuation Analysis over China

Atmosphere ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 83 ◽  
Author(s):  
Lei Jiang ◽  
Jiping Zhang ◽  
Yan Fang
Keyword(s):  
Time Series ◽  
Detrended Fluctuation Analysis ◽  
Sunshine Duration ◽  
Underlying Surface ◽  
Fluctuation Analysis ◽  
Scaling Properties ◽  
Long Range Correlations ◽  
Time Scaling ◽  
Daily Sunshine ◽  
Detrended Fluctuation

The spatial and temporal variabilities of the daily Sunshine Duration (SSD) time series from the Chinese Meteorological Administration during the 1954–2009 period are examined by the Detrended Fluctuation Analysis (DFA) method. As a whole, weak long-range correlations (LRCs) are found in the daily SSD anomaly records over China. LRCs are also verified by shuffling the SSD records. The proportion of the stations with LRCs accounts for about 97% of the total. Many factors affect the scaling properties of the daily SSD records such as sea-land difference and Tibetan Plateau landform and so on. We find land use and land cover as one of the important factors closely links to LRCs of the SSD. Strong LRCs of the SSD mainly happen in underlying surface of deserts and crops, while weak LRCs occur in forest and grassland. Further studies of scaling behaviors are still necessary to be performed due to the complex underlying surface and climate system.

Scaling behavior of earthquakes’ inter-events time series

Open Physics ◽  
2009 ◽  
Vol 7 (3) ◽  
Author(s):  
Shahriar Shadkhoo ◽  
Fakhteh Ghanbarnejad ◽  
Gholam Jafari ◽  
Mohammad Tabar
Keyword(s):  
Time Series ◽  
Time Scales ◽  
Hurst Exponent ◽  
Detrended Fluctuation Analysis ◽  
Fluctuation Analysis ◽  
Data Set ◽  
Scaling Properties ◽  
Independent Events ◽  
Detrended Fluctuation

AbstractIn this paper, we investigate the statistical and scaling properties of the California earthquakes’ inter-events over a period of the recent 40 years. To detect long-term correlations behavior, we apply detrended fluctuation analysis (DFA), which can systematically detect and overcome nonstationarities in the data set at all time scales. We calculate for various earthquakes with magnitudes larger than a given M. The results indicate that the Hurst exponent decreases with increasing M; characterized by a Hurst exponent, which is given by, H = 0:34 + 1:53/M, indicating that for events with very large magnitudes M, the Hurst exponent decreases to 0:50, which is for independent events.

ANALYSIS OF CORRELATION PROPERTIES IN GEOELECTRICAL DATA

Fractals ◽  
2003 ◽  
Vol 11 (01) ◽  
pp. 27-38 ◽  
Author(s):  
GERARDO COLANGELO ◽  
VINCENZO LAPENNA ◽  
LUCIANO TELESCA
Keyword(s):  
Time Series ◽  
Detrended Fluctuation Analysis ◽  
Southern Italy ◽  
Fluctuation Analysis ◽  
Scaling Exponents ◽  
Long Range Correlations ◽  
The Mean ◽  
Correlation Properties ◽  
Seismic Area ◽  
Detrended Fluctuation

This paper considers four geoelectrical time series, measured in a seismic area of Southern Italy. Lomb Periodogram method, Higuchi analysis, Detrended Fluctuation Analysis (DFA) and the mean distance spanned within time L are used to discuss the correlation properties of these signals. The values of the scaling exponents from these methods of the geoelectrical data indicate that the long-range correlations are present. Furthermore, it is found that these correlations are all linear.

scholarly journals Fractal Analysis of Deep Ocean Current Speed Time Series

2017 ◽  
Vol 34 (4) ◽  
pp. 817-827 ◽  
Author(s):  
Laura Cabrera-Brito ◽  
German Rodriguez ◽  
Luis García-Weil ◽  
Mercedes Pacheco ◽  
Esther Perez ◽  
...  
Keyword(s):  
Time Series ◽  
Long Range ◽  
Detrended Fluctuation Analysis ◽  
Single Point ◽  
Deep Ocean ◽  
Current Speed ◽  
Ocean Current ◽  
Fluctuation Analysis ◽  
Long Range Correlations ◽  
Detrended Fluctuation

AbstractFractal properties of deep ocean current speed time series, measured at a single-point mooring on the Madeira Abyssal Plain at 1000- and 3000-m depth, are explored over the range between one week and 5 years, by using the detrended fluctuation analysis and multifractal detrended fluctuation analysis methodologies. The detrended fluctuation analysis reveals the existence of two subranges with different scaling behaviors. Long-range temporal correlations following a power law are found in the time-scale range between approximately 50 days and 5 years, while a Brownian motion–type behavior is observed for shorter time scales. The multifractal analysis approach underlines a multifractal structure whose intensity decreases with depth. The analysis of the shuffled and surrogate versions of the original time series shows that multifractality is mainly due to long-range correlations, although there is a weak nonlinear contribution at 1000-m depth, which is confirmed by the detrended fluctuation analysis of volatility time series.

scholarly journals Investigating the spatial variability of the time-scaling properties in Italian seismicity

2004 ◽  
Vol 11 (5/6) ◽  
pp. 545-552 ◽  
Author(s):  
L. Telesca ◽  
V. Lapenna
Keyword(s):  
Seismic Data ◽  
Detrended Fluctuation Analysis ◽  
Time Correlation ◽  
Fluctuation Analysis ◽  
Feedback Mechanisms ◽  
Scaling Properties ◽  
Time Scaling ◽  
Allan Factor ◽  
Detrended Fluctuation ◽  
Apennine Chain

Abstract. Significant power-law long-range correlated structures have been identified in the Italian seismicity from 1983 to 2003. We performed the Allan Factor Analysis and the Detrended Fluctuation Analysis on both the full and the aftershock-depleted seismic data, extracted by the INGV (National Institute of Geophysics and Volcanology) instrumental catalog.Our findings suggest that (i) the time-scaling behaviour characterizes mainly the Apennine chain; (ii) the time-correlated behaviour of the seismicity is persistent, and this implies that the dynamics underlying the seismic phenomenology is characterized by the presence of "positive feedback mechanisms"; (iii) significant time correlation is not simply related with the mainshock/aftershock mechanisms.

scholarly journals Investigating the time-scaling behavior of the 2004–2010 seismicity of Aswan area (Egypt) by means of the Allan factor statistics and the detrended fluctuation analysis

2012 ◽  
Vol 12 (5) ◽  
pp. 1267-1276 ◽  
Author(s):  
L. Telesca ◽  
M. Lovallo ◽  
A. E.-E. Amin Mohamed ◽  
M. ElGabry ◽  
S. El-hady ◽  
...  
Keyword(s):  
Time Series ◽  
Detrended Fluctuation Analysis ◽  
Point Processes ◽  
Nonstationary Time Series ◽  
Fluctuation Analysis ◽  
Scaling Exponents ◽  
Time Dynamics ◽  
Time Scaling ◽  
Allan Factor ◽  
Detrended Fluctuation

Abstract. The time dynamics of seismicity of Aswan area (Egypt) from 2004 to 2010 was investigated by means of the (i) Allan Factor, which is a powerful tool allowing the capture of time-clusterized properties of temporal point processes; and the (ii) detrended fluctuation analysis, which is capable of detecting scaling in nonstationary time series. The analysis was performed varying the depth and the magnitude thresholds. The 2004–2010 Aswan seismicity is characterized by significant three-fold time-clustering behaviors with scaling exponents ~0.77 for timescales between 104.16 s and 105.14 s, ~0.34 for timescales between 105.14 s and 106.53 s, and ~1 for higher timescales. The seismic interevent times and distances are characterized by persistent temporal fluctuations for most of the magnitude and depth thresholds.

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