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Multifractality of meteorological time series for Poland on the base of MERRA-2 data

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  • Baranowski, Piotr
  • Gos, Magdalena
  • Krzyszczak, Jaromir
  • Siwek, Krzysztof
  • Kieliszek, Adam
  • Tkaczyk, Przemysław

Abstract

Spatial variability of the multifractal properties of a 36-year-long meteorological time series for Poland coming from the MERRA-2 database was analysed. It constitute a very valuable source of meteorological data, as high similarity with ground data recorded at meteorological stations in the region of interest was stated by the analysis of similarity measures. The highest variability of multifractal spectra parameters was observed for the air temperature, whereas the lowest was for the air pressure. Spatial analysis of multifractal spectra parameters enabled to select the regions vulnerable to the occurrence of extreme events, correlated or uncorrelated processes, etc. Obtained maps of multifractal parameters give a new insight into climate dynamics in the region and are a valuable source of information for comparative analyses. The spatial variation of the parameters of multifractal spectra was also confirmed by geo-statistical analysis, which delivered important information about the range of influence, sill and nugget variance. The paper is the first attempt to use geo-statistical analysis in regard to multifractal properties of meteorological quantities.

Suggested Citation

  • Baranowski, Piotr & Gos, Magdalena & Krzyszczak, Jaromir & Siwek, Krzysztof & Kieliszek, Adam & Tkaczyk, Przemysław, 2019. "Multifractality of meteorological time series for Poland on the base of MERRA-2 data," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 318-333.
    • Handle: RePEc:eee:chsofr:v:127:y:2019:i:c:p:318-333
    DOI: 10.1016/j.chaos.2019.07.008
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    1. Kubik, M.L. & Brayshaw, D.J. & Coker, P.J. & Barlow, J.F., 2013. "Exploring the role of reanalysis data in simulating regional wind generation variability over Northern Ireland," Renewable Energy, Elsevier, vol. 57(C), pages 558-561.
    2. Kavasseri, Rajesh G. & Nagarajan, Radhakrishnan, 2005. "A multifractal description of wind speed records," Chaos, Solitons & Fractals, Elsevier, vol. 24(1), pages 165-173.
    3. Zbigniew W. Kundzewicz & Piotr Matczak, 2012. "Climate change regional review: Poland," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 3(4), pages 297-311, July.
    4. Laib, Mohamed & Golay, Jean & Telesca, Luciano & Kanevski, Mikhail, 2018. "Multifractal analysis of the time series of daily means of wind speed in complex regions," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 118-127.
    5. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    6. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    7. Sutapa Chaudhuri, 2006. "Predictability Of Chaos Inherent In The Occurrence Of Severe Thunderstorms," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 9(01n02), pages 77-85.
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