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An Initial Condition Ensemble is a collection of simulations in which each member starts from slightly different initial conditions to explore the range of possible future states in a dynamical system, such as weather or climate models. This approach helps in understanding the uncertainty and variability inherent in complex systems by providing a probabilistic forecast rather than a single deterministic outcome.
Chaotic systems are highly sensitive to initial conditions and display seemingly random behavior that can still be described by deterministic laws. Despite their unpredictability, these systems often reveal underlying order when analyzed through mathematical principles such as fractals and strange attractors.
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