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 - http://www.scopus.com/inward/record.url?scp=84892064112&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-14863-7_11
DO - 10.1007/978-3-642-14863-7_11
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AN - SCOPUS:84892064112
SN - 9783642148620
SP - 216
EP - 248
BT - In Extremis
PB - Springer Berlin Heidelberg
ER -