Dynamics of meteorological time series on the base of ground measurements and retrospective data from <scp>MERRA</scp>‐2 for Poland

Gos, Magdalena; Baranowski, Piotr; Krzyszczak, Jaromir; Kieliszek, Adam; Siwek, Krzysztof

doi:10.1002/joc.6787

Cited by 4 publications

(2 citation statements)

References 78 publications

(106 reference statements)

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“…Multifractality of air temperature series were found for Spain [58,59], Greece [60,61], Poland [62,63] and England [64] with the same specific features as for Serbia: persistent long-term correlations (α 0 > 0.5) and the dominance of small fluctuations (right-skewed spectrum). Gos et al [63] compared multifractal properties of air pressure, air temperature and wind speed in Poland, from ground base data (35 meteorological stations) and reanalysis gridded MERRA-2 dataset, for the period 2007-2016 on hourly and daily resolution. They found high similarity between multifractal parameters obtained from ground base and MERRA-2 data, for both hourly and daily series.…”

Section: Comparison With Studies From Other Countriesmentioning

confidence: 61%

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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Section: Comparison With Studies From Other Countriesmentioning

confidence: 61%

Climate Change Effects through MFDFA Study of Temperature in Serbia

Stosic,

Tošić

et al. 2023

Atmosphere

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“…Studies of surrogate time series have been conducted to probe the origin of multifractality in a wide range of contexts, including financial markets (Barunik et al 2012), human gate diseases (Dutta et al 2013), near-fault earthquake ground motions (Yang et al 2015), solar irradiance fluctuations (Madanchi et al 2017), air pollutants (Dong et al 2017), meteorological time series of air pressure, air temperature and wind speed (Gos et al 2021) and rainfall records (Sarker & Mali 2021). The surrogate method was also employed in time series of CME linear speed during solar cycle 23 to conclude that the multifractality is due to both the broad PDF and long range time correlations (Chattopadhyay et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Origin of multifractality in solar wind turbulence: the role of current sheets

Gomes

Rempel

et al. 2022

Monthly Notices of the Royal Astronomical Society

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In this work, a multifractal framework is proposed to investigate the effects of current sheets in solar wind turbulence. By using multifractal detrended fluctuation analysis coupled with surrogate methods and volatility, two solar wind magnetic field time series are investigated, one with current sheets and one without current sheets. Despite the lack of extreme-events intermittent bursts in the current sheet-free series, both series are shown to be strongly multifractal, although the current sheet-free series displays an almost linear behavior for the scaling exponent of structure functions. Long-range correlations are shown to be the main source of multifractality for the series without current sheets, while a combination of heavy-tail distribution and nonlinear correlations are responsible for multifractality in the series with current sheets. The multifractality in both time series is formally shown to be associated with an energy-cascade process using the p-model.

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