Millennial climate variability: GCM-simulation and Greenland ice cores

[1] The low frequency variability of the near surface temperature in a climate simulation is compared with Greenland ice core d 18 O time series during the holocene. The simulation is performed with the coupled CSIRO atmosphere-ocean model under present-day conditions. The variability, analyzed by t...

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Bibliographic Details
Main Authors: Richard Blender, Klaus Fraedrich, Barrie Hunt, Citation Blender, K. Fraedrich, B. Hunt
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.393.676
http://www.mi.uni-hamburg.de/fileadmin/files/forschung/theomet/docs/pdf/BleFraHuntMill05.pdf
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Summary:[1] The low frequency variability of the near surface temperature in a climate simulation is compared with Greenland ice core d 18 O time series during the holocene. The simulation is performed with the coupled CSIRO atmosphere-ocean model under present-day conditions. The variability, analyzed by the detrended fluctuation analysis, reveals power-law scaling of the power-spectrum for frequency f, S(f) f b, and long term memory (LTM) given by b> 0. The near surface temperature shows intense LTM in the North Atlantic south of Greenland, weak LTM in parts of the Antarctic ocean and the tropical Atlantic, and no LTM in the Pacific ocean. The power-law exponent b 0.5 near Greenland agrees with ice core temperature proxies up to time scales of 1000 years. The LTM of the surface temperature is explained by the high low frequency variability of the zonally averaged streamfunction in the Atlantic with maxima in the Arctic ocean.