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Multi-Scale Interactions and Hierarchical Modeling of Climate
Variability
R. Saravanan
Texas A&M University
Abstract
The climate system is inherently multi-scale in nature. Since
the atmosphere is responsible for the fast timescales in the
climate system, understanding its interaction with the slowly
varying ocean is crucial to understanding climate
variability. This talk will focus on the use of a hierarchy of
analytical and numerical coupled models to simulate and predict
climate variability on seasonal to millennial timescales. The
pros and cons of using highly simplified models to study
climate will be discussed.
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