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scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

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STP12 Abstracts<br />

Berlin, 12 - 16 July <strong>2010</strong><br />

SCOSTEP Symposium <strong>2010</strong><br />

Investigating the Influence of Solar Activity on the Arctic Polar Stratosphere using<br />

Nonlinear Statistical Methods<br />

Blume Christi<strong>an</strong> 1 , Matthes Katja 2 , Horenko Illia 3<br />

1 <strong>Institut</strong>e for Meteorology, FU Berlin, 2 GFZ Potsdam <strong>an</strong>d <strong>Institut</strong>e for Meteorology, FU Berlin, 3<br />

<strong>Institut</strong>e of Computational Science, University of Lug<strong>an</strong>o<br />

A number of observational <strong>an</strong>d modeling studies have shown that solar variability influences<br />

the radiation, chemistry <strong>an</strong>d dynamics of the atmosphere. However, the detection of possible<br />

nonlinear interactions between the solar cycle <strong>an</strong>d other atmospheric forcing factors such as<br />

the QBO, the El Nino Southern Oscillation or the northern <strong>an</strong>nual mode <strong>an</strong>d their impacts<br />

remains a difficult task. The main focus is on the influence of solar variations on the Arctic<br />

polar stratospheric vortex in re<strong>an</strong>alysis data as well as chemistry climate model output. In<br />

contrast to common linear statistical methods, this <strong>an</strong>alysis aims at extracting nonlinear<br />

impacts of solar cycle variations via a neural network approach <strong>an</strong>d a novel clustering<br />

method. The results are compared to commonly used linear methods.

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