E
Eva Koscielny-Bunde
Researcher at University of Giessen
Publications - 16
Citations - 7275
Eva Koscielny-Bunde is an academic researcher from University of Giessen. The author has contributed to research in topics: Multifractal system & Detrended fluctuation analysis. The author has an hindex of 10, co-authored 16 publications receiving 6720 citations. Previous affiliations of Eva Koscielny-Bunde include Bar-Ilan University & Potsdam Institute for Climate Impact Research.
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Journal ArticleDOI
Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series
Jan W. Kantelhardt,Jan W. Kantelhardt,Stephan Zschiegner,Eva Koscielny-Bunde,Eva Koscielny-Bunde,Shlomo Havlin,Shlomo Havlin,Armin Bunde,H. Eugene Stanley +8 more
TL;DR: In this article, the authors developed a method for the multifractal characterization of nonstationary time series, which is based on a generalization of the detrended fluctuation analysis (DFA).
Journal ArticleDOI
Multifractal detrended fluctuation analysis of nonstationary time series
Jan W. Kantelhardt,Stephan Zschiegner,Eva Koscielny-Bunde,Armin Bunde,Shlomo Havlin,H. Eugene Stanley +5 more
TL;DR: In this article, the authors developed a method for the multifractal characterization of nonstationary time series, which is based on a generalization of the detrended fluctuation analysis (DFA).
Journal ArticleDOI
Detecting long-range correlations with detrended fluctuation analysis
TL;DR: It is shown that deviations from scaling which appear at small time scales become stronger in higher orders of detrended fluctuation analysis, and a modified DFA method is suggested to remove them.
Journal ArticleDOI
Long-term persistence and multifractality of precipitation and river runoff records
Jan W. Kantelhardt,Jan W. Kantelhardt,Eva Koscielny-Bunde,Diego Rybski,Peter Braun,Armin Bunde,Shlomo Havlin,Shlomo Havlin +7 more
TL;DR: In this paper, the authors compare the multifractal temporal scaling properties of precipitation and river discharge records on large timescales and find that daily runoffs are characterized by an asymptotic scaling exponent that indicates a slow power law decay of the runoff autocorrelation function and varies from river to river in a wide range.
Journal ArticleDOI
Long-term persistence and multifractality of river runoff records: Detrended fluctuation studies
Eva Koscielny-Bunde,Eva Koscielny-Bunde,Jan W. Kantelhardt,Jan W. Kantelhardt,Peter Braun,Armin Bunde,Shlomo Havlin,Shlomo Havlin +7 more
TL;DR: In this paper, the authors study temporal correlations and multifractal properties of long river discharge records from 41 hydrological stations around the globe, and they find that daily runoffs are long-term correlated, being characterized by a correlation function C(s) that decays as C (s)∼s−γ.