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11 IMSC Session Program<br />

Estimation of the anthropogenic trend in temperature records<br />

Thursday - Parallel Session 10<br />

Sabine Lennartz and Armin Bunde<br />

Institute for Theoretical Physics, University of Giessen, Giessen, Germany<br />

It is well accepted that the global mean surface air temperature has been rising in the<br />

20th century, with a more pronounced increase in the last 50 years. The open question<br />

is how much of this increase can be attributed to natural fluctuations, and how much<br />

is of anthropogenic origin, caused, for example, by the increasing greenhouse gas<br />

(GHG) emission. To treat this detection problem, we do not use climate simulations,<br />

but assume as statistical null hypothesis that monthly temperature records are longterm<br />

correlated with a Hurst exponent H >0.5 (including also nonstationary records<br />

with H values above 1). We are interested in the probability W(D) that an observed<br />

trend D occurs naturally, and in the anthropogenic part A(Q, D) of the temperature<br />

increase within a given confidence interval Q. We show that for confidence intervals<br />

with Q above 80% analytical expressions for W(D) and A(Q, D) can be derived,<br />

which request as input solely the Hurst exponent, as well as the temperature increase<br />

D obtained from the linear regression line and the standard deviation around it [1].<br />

We apply this methodology to a large number of global and local stations, and find<br />

that in general, the trends in the global data are more significant than in the local data.<br />

In addition, our analysis yields the surprising result that the comparatively strong<br />

temperature increase in the last 50 years is a weaker indicator for an anthropogenic<br />

trend than the lower annual increase in the last 100 years.<br />

[1] Lennartz, S., and A. Bunde, Geophys. Res. Lett. 36, L16706 (2009)<br />

Abstracts 259

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