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Observations and Modelling of 1/F-noise in Weather and Climate : Volume 6, Issue 1 (18/05/2011)

By Blender, R.

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Book Id: WPLBN0003988940
Format Type: PDF Article :
File Size: Pages 4
Reproduction Date: 2015

Title: Observations and Modelling of 1/F-noise in Weather and Climate : Volume 6, Issue 1 (18/05/2011)  
Author: Blender, R.
Volume: Vol. 6, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Zhu, X., Fraedrich, K., & Blender, R. (2011). Observations and Modelling of 1/F-noise in Weather and Climate : Volume 6, Issue 1 (18/05/2011). Retrieved from

Description: University of Hamburg, KlimaCampus, Hamburg, Germany. Data with power spectra close to S(f)~1/f is denoted as 1/f or flicker noise. High resolution measurements during TOGA/COARE for temperature, humidity, and wind speed (1\,min resolution) reveal 1/f spectra while precipitation shows no power-law scaling during the same period. However, a binary time series indicating the precipitation events (1 for precipitation, 0 for no precipitation) shows a clear 1/f spectrum in line with the remaining boundary layer data. For extreme events in time series with 1/f spectra the return time distribution is well approximated by a Weibull-distribution for short and long return times. The daily discharge of the Yangtze river shows high volatility which is linked to the intra-annual 1/f spectrum. The discharge fluctuations detected in different time windows are represented by a single function (a so-called data collapse) similar to the universal behavior found for turbulence and various physical systems at criticality. The collapse is well described by the Gumbel distribution.

Observations and modelling of 1/f-noise in weather and climate

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