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

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

Chaos, Solitons & Fractals, 2019, vol. 127, issue C, 318-333

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.

Keywords: Multifractality; Time series; Meteorological quantities; Climatology; MERRA-2; Geo-statistical analysis (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:127:y:2019:i:c:p:318-333

DOI: 10.1016/j.chaos.2019.07.008

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