Extreme event return times in long-term memory processes near 1/<i>f</i>

The distribution of extreme event return times and their correlations are analyzed in observed and simulated long-term memory (LTM) time series with 1/<i>f</i> power spectra. The analysis is based on tropical temperature and mixing ratio (specific humidity) time series from TOGA COARE wi...

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Main Authors: F. Sienz, K. Fraedrich, R. Blender
Format: Article
Language:English
Published: Copernicus Publications 2008-07-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/15/557/2008/npg-15-557-2008.pdf
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author F. Sienz
K. Fraedrich
R. Blender
author_facet F. Sienz
K. Fraedrich
R. Blender
author_sort F. Sienz
collection DOAJ
description The distribution of extreme event return times and their correlations are analyzed in observed and simulated long-term memory (LTM) time series with 1/<i>f</i> power spectra. The analysis is based on tropical temperature and mixing ratio (specific humidity) time series from TOGA COARE with 1 min resolution and an approximate 1/<i>f</i> power spectrum. Extreme events are determined by Peak-Over-Threshold (POT) crossing. The Weibull distribution represents a reasonable fit to the return time distributions while the power-law predicted by the stretched exponential for 1/<i>f</i> deviates considerably. <br><br> For a comparison and an analysis of the return time predictability, a very long simulated time series with an approximate 1/<i>f</i> spectrum is produced by a fractionally differenced (FD) process. This simulated data confirms the Weibull distribution (a power law can be excluded). The return time sequences show distinctly weaker long-term correlations than the original time series (correlation exponent <span style="text-decoration:overline">&gamma;</span>&asymp;0.56).
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spelling doaj.art-2105f2fbda084be7844c686777717e7b2022-12-21T19:41:08ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462008-07-01154557565Extreme event return times in long-term memory processes near 1/<i>f</i>F. SienzK. FraedrichR. BlenderThe distribution of extreme event return times and their correlations are analyzed in observed and simulated long-term memory (LTM) time series with 1/<i>f</i> power spectra. The analysis is based on tropical temperature and mixing ratio (specific humidity) time series from TOGA COARE with 1 min resolution and an approximate 1/<i>f</i> power spectrum. Extreme events are determined by Peak-Over-Threshold (POT) crossing. The Weibull distribution represents a reasonable fit to the return time distributions while the power-law predicted by the stretched exponential for 1/<i>f</i> deviates considerably. <br><br> For a comparison and an analysis of the return time predictability, a very long simulated time series with an approximate 1/<i>f</i> spectrum is produced by a fractionally differenced (FD) process. This simulated data confirms the Weibull distribution (a power law can be excluded). The return time sequences show distinctly weaker long-term correlations than the original time series (correlation exponent <span style="text-decoration:overline">&gamma;</span>&asymp;0.56).http://www.nonlin-processes-geophys.net/15/557/2008/npg-15-557-2008.pdf
spellingShingle F. Sienz
K. Fraedrich
R. Blender
Extreme event return times in long-term memory processes near 1/<i>f</i>
Nonlinear Processes in Geophysics
title Extreme event return times in long-term memory processes near 1/<i>f</i>
title_full Extreme event return times in long-term memory processes near 1/<i>f</i>
title_fullStr Extreme event return times in long-term memory processes near 1/<i>f</i>
title_full_unstemmed Extreme event return times in long-term memory processes near 1/<i>f</i>
title_short Extreme event return times in long-term memory processes near 1/<i>f</i>
title_sort extreme event return times in long term memory processes near 1 i f i
url http://www.nonlin-processes-geophys.net/15/557/2008/npg-15-557-2008.pdf
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