Detrended fluctuation studies of long-term persistence and multifractality of precipitation and river runoff records

Diego Rybski; Armin Bunde; Shlomo Havlin; Jan W. Kantelhardt; Eva Koscielny-Bunde

doi:10.1007/978-3-642-14863-7_11

Detrended fluctuation studies of long-term persistence and multifractality of precipitation and river runoff records

Diego Rybski
, Armin Bunde
, Shlomo Havlin
, Jan W. Kantelhardt
, Eva Koscielny-Bunde

Department of Physics - at Bar-Ilan University

Justus Liebig University Giessen
Martin Luther University Halle-Wittenberg

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

15 Scopus citations

Abstract

We studied and compared the autocorrelationAutocorrelation behaviour and the temporal multifractalMultifractal properties of long daily river discharge and precipitation records from 42 hydrological stations and 99 meteorological stations around the globe. To determine the scaling behaviour in the presence of trends Trend, we applied detrended fluctuation analysis (DFA)Detrended Fluctuation Analysis (DFA) and multifractal DFA Multifractal DFA (MF-DFA). We found that the daily runoffs are characterised by a power-law decay of the autocorrelation functionAutocorrelation function above some crossoverCrossover time that usually is several weeks.

Original language	English
Title of host publication	In Extremis
Subtitle of host publication	Disruptive Events and Trends in Climate and Hydrology
Publisher	Springer Berlin Heidelberg
Pages	216-248
Number of pages	33
ISBN (Print)	9783642148620
DOIs	https://doi.org/10.1007/978-3-642-14863-7_11
State	Published - 2011

Access to Document

10.1007/978-3-642-14863-7_11

Cite this

@inbook{fb0fab5f11414b7db00638c2341a6e36,

title = "Detrended fluctuation studies of long-term persistence and multifractality of precipitation and river runoff records",

abstract = "We studied and compared the autocorrelationAutocorrelation behaviour and the temporal multifractalMultifractal properties of long daily river discharge and precipitation records from 42 hydrological stations and 99 meteorological stations around the globe. To determine the scaling behaviour in the presence of trends Trend, we applied detrended fluctuation analysis (DFA)Detrended Fluctuation Analysis (DFA) and multifractal DFA Multifractal DFA (MF-DFA). We found that the daily runoffs are characterised by a power-law decay of the autocorrelation functionAutocorrelation function above some crossoverCrossover time that usually is several weeks.",

author = "Diego Rybski and Armin Bunde and Shlomo Havlin and Kantelhardt, \{Jan W.\} and Eva Koscielny-Bunde",

year = "2011",

doi = "10.1007/978-3-642-14863-7\_11",

language = "אנגלית",

isbn = "9783642148620",

pages = "216--248",

booktitle = "In Extremis",

publisher = "Springer Berlin Heidelberg",

}

Detrended fluctuation studies of long-term persistence and multifractality of precipitation and river runoff records. / Rybski, Diego; Bunde, Armin; Havlin, Shlomo et al.
In Extremis: Disruptive Events and Trends in Climate and Hydrology. Springer Berlin Heidelberg, 2011. p. 216-248.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Detrended fluctuation studies of long-term persistence and multifractality of precipitation and river runoff records

AU - Rybski, Diego

AU - Bunde, Armin

AU - Havlin, Shlomo

AU - Kantelhardt, Jan W.

AU - Koscielny-Bunde, Eva

PY - 2011

Y1 - 2011

N2 - We studied and compared the autocorrelationAutocorrelation behaviour and the temporal multifractalMultifractal properties of long daily river discharge and precipitation records from 42 hydrological stations and 99 meteorological stations around the globe. To determine the scaling behaviour in the presence of trends Trend, we applied detrended fluctuation analysis (DFA)Detrended Fluctuation Analysis (DFA) and multifractal DFA Multifractal DFA (MF-DFA). We found that the daily runoffs are characterised by a power-law decay of the autocorrelation functionAutocorrelation function above some crossoverCrossover time that usually is several weeks.

AB - We studied and compared the autocorrelationAutocorrelation behaviour and the temporal multifractalMultifractal properties of long daily river discharge and precipitation records from 42 hydrological stations and 99 meteorological stations around the globe. To determine the scaling behaviour in the presence of trends Trend, we applied detrended fluctuation analysis (DFA)Detrended Fluctuation Analysis (DFA) and multifractal DFA Multifractal DFA (MF-DFA). We found that the daily runoffs are characterised by a power-law decay of the autocorrelation functionAutocorrelation function above some crossoverCrossover time that usually is several weeks.

UR - https://www.scopus.com/pages/publications/84892064112

U2 - 10.1007/978-3-642-14863-7_11

DO - 10.1007/978-3-642-14863-7_11

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.chapter???

AN - SCOPUS:84892064112

SN - 9783642148620

SP - 216

EP - 248

BT - In Extremis

PB - Springer Berlin Heidelberg

ER -

Detrended fluctuation studies of long-term persistence and multifractality of precipitation and river runoff records

Abstract

Access to Document

Other files and links

Fingerprint

Cite this