Nonlinearity and Fractal Properties of Climate Change during the Past 500 Years in Northwestern China

Wan, Shiquan; Liu, Qunqun; Zou, Jianxin; Wenping, He

doi:10.1155/2016/4269431

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…In Bénin, at the synoptic scale, DFA2 is the best method in terms of spatial average. is result confirms those of [6,24]. ese authors have found the second-order DFA (DFA2) method as the best and the most commonly used order, respectively, for outgoing longwave and temperature records.…”

Section: Discussionsupporting

confidence: 81%

“…e multifractal detrended fluctuation analysis (MFDFA) method is a generalization of the standard DFA method. It is generally preferred and widely used in the literature to detect the fractal scaling properties of the mth-order moments and long-term memory in nonstationary and nonlinear time series as, meteorological and climatological series [6,24,25]. e modified MFDFA procedure consists of a sequence of steps and detailed information about computation can be found in [26].…”

Section: Description Of the Mfdfa Methodmentioning

confidence: 99%

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Fractal Analysis of the Long-Term Memory in Precipitation over Bénin (West Africa)

Agbazo

N’Gobi

Alamou

et al. 2019

Advances in Meteorology

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This study analyzed the long-term memory (LTM) in precipitation over Bénin synoptic stations from 1951 to 2010 using the detrended fluctuation analysis (DFA) method. Results reveal the existence of positive long-term memory characteristic in rainfall field. DFA exponent values are different regarding the concerned synoptic stations, reflecting the effect of geographical position and climate on the LTM. These values were related to the type of climate. The best DFA1-4 method depends on the geographical position of the studied station. However, DFA2 is generally the best in terms of spatial average from DFA1 to DFA4. In Bénin synoptic stations, except the Parakou station, the long-term temporal correlations are systematically the source of multifractality in rainfall. Except Natitingou, the strength of long-term memory characteristic decreases each twenty years in the study period. Considering the fractal approach, our results show that the subperiod 1991–2010 is not really a transition period as shown before. Thus, the drought is prolonging until 2010. So, fractal theory reveals more Bénin climatic characteristics.

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Section: Discussionsupporting

confidence: 81%

Section: Description Of the Mfdfa Methodmentioning

confidence: 99%

Fractal Analysis of the Long-Term Memory in Precipitation over Bénin (West Africa)

Agbazo

N’Gobi

Alamou

et al. 2019

Advances in Meteorology

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“…To investigate multifractal characteristics of non-stationary, non-linear, natural and complex meteorological phenomenon time series (Shen et al, 2015(Shen et al, , 2017Wan et al, 2016;, the MFDFA method was proposed If the time series follow the power law, then we can obtain the scaling function:…”

Section: Description Of Mfdfa Methodsmentioning

confidence: 99%

Multi-fractal Behaviors of long term daily relative humidity and temperature observed over Benin synoptic stations (West Africa)

et al. 2019

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In this study, Multifractal Detrended Fluctuation Analysis (MFDFA) is applied to daily temperature time series in Benin synoptic stations from 1967 to 2012. The purpose is to examine the degree of multifractality and compare multifractal characteristics of temperature in various climatic areas (subequatorial and Sudanian). The analysis reveals that the daily temperature time series shows a multifractal behavior that is sensitive to the station's geographic position and presents a positive long-term correlation. Weather conditions and the geographic position of the synoptic stations affect the shape and the characteristics of temperature spectrum. The multifractality is stronger in subequatorial region than the Sudanian. The major source of multifractality in temperature series is found to be the fat-tailed probability density function. However, long-range correlations also partly contribute to the multifractal features. Except Kandi's synoptic station, the spectrum is left-skewed. The findings indicate the usefulness of the non-linear analysis in climate research due to the complex interactions among the natural processes. It can help understand the mechanisms governing the dynamics of temperature time series in Benin.Comportamientos multifractales de las series temporales de temperatura observadas en las estaciones sinópticas de Benin (Africa Occidental)

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“…To investigate multifractal characteristics of non-stationary, nonlinear, natural, and complex meteorological phenomenon time series (Shen et al 2017;Wan et al 2016;Jiang et al 2017), the MFDFA method was proposed by Kantelhardt et al (2002). It can be briefly described as follows (Shen et al 2017):…”

Section: Multifractal Detrended Fluctuation Analysismentioning

confidence: 99%

Multifractal Characteristics of Cloud-to-Ground Lightning Intensity Observed in AMMA-CATCH Station (Northern Benin)

Agbazo

N’Gobi

Adechinan

et al. 2020

Bull. of Atmos. Sci.& Technol.

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Cloud-to-Ground (CG) lightning intensity time series recorded in northern Benin, during days of monsoon season (summer 2006), has been deeply explored using multifractal framework. The results suggest the existence of strong multifractal characteristics in lightning intensity. However, detrending the data reduces the degree of multifractality. The multifractality arises from both a fat-tailed probability density function and longrange temporal correlations. But, the most dominant multifractality in lightning intensity series depends strongly on the kind of detrending that is retained from the profile during the multifractal detrended fluctuation analysis (MFDFA). These findings have allowed us to understand and characterize the complexity of lightning intensity structure in the network.

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Nonlinearity and Fractal Properties of Climate Change during the Past 500 Years in Northwestern China

Cited by 10 publications

References 12 publications

Fractal Analysis of the Long-Term Memory in Precipitation over Bénin (West Africa)

Fractal Analysis of the Long-Term Memory in Precipitation over Bénin (West Africa)

Multi-fractal Behaviors of long term daily relative humidity and temperature observed over Benin synoptic stations (West Africa)

Multifractal Characteristics of Cloud-to-Ground Lightning Intensity Observed in AMMA-CATCH Station (Northern Benin)

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