Ocean, Ice, Atmosphere Seminar

Stochastic modelling of polar sea-ice variability
by
Poornendu P. Singh
Institute of Environmental Physics
University of Bremen

The phrase 'Stochastic Climate Models' was introduced by Hasselmann (1976) to conceptualize the process-response of climatic variability. The model employs differentiation of the Climate System into two distinct subcomponents based on the inherent scale of variability they exhibit in the Nature. It is postulated that the slow variables (forming the 'Climate' Subsystem) owe their variability to the integrated-forcing from the fast variables (constituting the 'Weather' Subsystem). We shall apply some of these thoughts to a 30 years record of sea-ice variability in the Arctic and the Antarctic. The approach will be exploratory rather than deterministic, to familiarize ourselves with the concept and some of the characteristics of the Polar ice.

KeyWords: climate research, stochastic process, sea-ice anomalies, forcing /feedback parameter, power spectra.

REFERENCE: Hasselmann, K. (1976) Stochastic Climate Models: Part I- Theory. Tellus, 28, 473-85.

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