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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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