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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