Nonlinear dynamics and multifractal analysis of minimum–maximum temperature and solar radiation over Lagos State, Nigeria

Akinsusi, Joshua; Ogunjo, Samuel; Fuwape, I. A.

doi:10.1007/s11600-022-00879-4

Cited by 8 publications

(3 citation statements)

References 60 publications

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“…Multifractal properties of air temperature were also found in other regions in world [17][18][19]. It is worth to compare our results with those of Da Silva et al [18].…”

Section: Comparison With Studies From Other Countriessupporting

confidence: 83%

“…Multifractality of atmospheric processes is well known and documented in scientific literature [16]. Multifractal dynamics is found in time series of air temperature [17][18][19], rainfall [20][21][22][23] humidity [24], wind speed [25][26][27], solar radiation [28,29] and global climate indices [30,31]. Air temperature and precipitation are the principal variables used in detection of climate change [32] which is considered the most challenging problem in climate studies due to increased evidence of the influence of anthropogenic factors [33,34].…”

Section: Introductionmentioning

confidence: 99%

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Climate Change Effects through MFDFA Study of Temperature in Serbia

Stosic,

Tošić

et al. 2023

Atmosphere

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We investigate multifractal properties of daily means of air temperature over the territory of Serbia, by using Multifractal detrended fluctuation analysis. Temperature anomalies in two periods 1961–1990 and 1991–2020 are calculated from the E-OBSv26.0e gridded dataset with 0.10° (~12 km) resolution, totaling 1278 daily temperature series for each period. The MFDFA parameters: position of the maximum of the spectrum α0, width of the spectrum W and asymmetry r, obtained from the total of 2556 MFDFA runs are interpolated to yield their spatial distribution across Serbia in the two periods. We found several patterns in both the spatial distribution, and changes from first to second period. All series showed multifractal properties with overall persistent long-term correlations (α0 > 0.5) and the dominance of small fluctuations (r > 0). The persistence is weaker (smaller α0 values) and multifractality is stronger (larger width W) in southern mountainous regions. In the second period the values of α0 increased indicating stronger persistence of temperature dynamics, while multifractality became stronger (larger W) in northern region and weaker (smaller W) in southern region. In both periods the contribution to multifractality was dominated by small fluctuations (r > 0) that become stronger in the second period, indicated by the increase of the values of r over most of the country’s area. These changes in the values of multifractal parameters indicate the increase of complexity of temperature dynamics in the second 30 years period which could be related to climate change.

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“…Multifractal properties of air temperature were also found in other regions in world [17][18][19]. It is worth to compare our results with those of Da Silva et al [18].…”

Section: Comparison With Studies From Other Countriessupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Climate Change Effects through MFDFA Study of Temperature in Serbia

Stosic,

Tošić

et al. 2023

Atmosphere

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“…A determinant factor when choosing which method to apply was the number of available input parameters; the model would be more complex if it had a greater number of parameters. The chosen method in the present study is easy to apply and has been widely referenced in the recent literature [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Santa Ana Winds: Multifractal Measures and Singularity Spectrum

Serpa-Usta,

López-Lambraño,

Fuentes

et al. 2023

Atmosphere

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A multifractal analysis based on the time series of temperature, pressure, relative humidity, wind speed, and wind direction was performed for 16 weather stations located in the hydrographic basin of the Guadalupe River in Baja California, Mexico. Our analysis included a 38-year dataset from MERRA-2 database, we investigated the multifractal nature of daily time series data for climatic variables associated with the Santa Ana Winds. We employed the Multifractal Detrended Fluctuation Analysis (MFDFA) method to extract multifractal complexity parameters (α0, ∆α, and r). This was adequate to evaluate the multifractality of the time series that represented the conditions of the phenomenon’s occurrence. From the estimation of the generalized Hurst exponent (hq), it was possible to characterize the time series of the meteorological variables in terms of the characteristics of persistence, anti-persistence, or randomness. Finally, the values corresponding to the parameters and characteristics of the multifractal spectrum or singularities can be used as quantitative and qualitative indicators to describe the dynamics of meteorological processes during the occurrence of the Santa Ana winds in the Guadalupe basin.

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Multifractal Characterization of Weibull and Gamma Probability Distribution Functions

Ogunjo

2024

Springer Proceedings in Physics

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Nonlinear dynamics and multifractal analysis of minimum–maximum temperature and solar radiation over Lagos State, Nigeria

Cited by 8 publications

References 60 publications

Climate Change Effects through MFDFA Study of Temperature in Serbia

Climate Change Effects through MFDFA Study of Temperature in Serbia

Santa Ana Winds: Multifractal Measures and Singularity Spectrum

Multifractal Characterization of Weibull and Gamma Probability Distribution Functions

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