This session is positioned at the interface between Statistics and Climatology. To have any success chances, the analysis of climate time series has to take into account the uncertainties in the climate system itself and in the measurements, and often also in the proxy quality and the dating. Climate records pose additional challenges in form of:

(1) non-normal distributions,
(2) autocorrelation,
(3) uneven time spacing,
(4) uncertain timescales.

We welcome contributions that address those challenges, show a sound statistical basis of the methodology and also demonstrate the feasibility of the method in real-world applications. Methods may include, but are not restricted to:

(1) regression,
(2) spectral analysis and wavelets,
(3) extreme values,
(4) correlation,
(5) nonlinear dynamical system analysis,
(6) spatio-temporal analysis.