One reason for chaoplexity's lack of progress may be the notorious butterfly effect, the notion that tiny changes in initial conditions can eventually yield huge
consequences in a chaotic system; the classic example is that the beating of a butterfly's wings could eventually trigger the formation of a tornado.
Not exact matches
The risk of unintended
consequences in tampering with a
chaotic system is far too great IMO.
In a
system as complex and
chaotic as climate, such an action may even trigger unexpected
consequences.
Seeding Chaos: The Dire
Consequences of Numerical Noise
in NWP Perturbation Experiments Perturbation experiments are a common technique used to study how differences between model simulations evolve within
chaotic systems.
My interests, more specifically, are related to: * The
consequence of scaling behaviour
in non-linear coupled
systems (both
chaotic and non-
chaotic) * The
consequence of external forcings on such
systems * The limitations of numerical methods used to analyse these
systems, particularly with regard to initial conditions