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| Titel |
Long-Range Memory in Millennium-Long ESM and AOGCM Experiments |
| VerfasserIn |
Kristoffer Rypdal, Lene Østvand, Tine Nilsen, Dmitry Divine |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250088597
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| Publikation (Nr.) |
 EGU/EGU2014-2717.pdf |
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| Zusammenfassung |
| Northern-hemisphere (NH) temperature records from a reconstruction and a number of millennium-long climate-model experiments are investigated for long-range memory (LRM). The models are two Earth-system models (ESMs) and two atmospheric-ocean general circulation models (AOGCMs). The periodogram, detrended fluctuation analysis and wavelet variance analysis are applied to examine scaling properties and to estimate a scaling exponent of the temperature records. A simple linear model for the climate response to external forcing is also applied to the reconstruction and the forced climate model runs and compared to unforced control runs to extract the LRM generated by internal dynamics of the climate system. With one exception the climate models show strong persistent scaling with power-spectral densities of power-law form with exponent 0.8
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