Why Is Weather Considered a Chaotic System?

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SUMMARY

The discussion centers on the classification of weather as a chaotic system, primarily due to its sensitivity to initial conditions, a characteristic defined by the Lyapunov exponent. The Lorenz attractor serves as a simplified model of atmospheric dynamics, illustrating the complexities involved in weather prediction. Participants express uncertainty about the stability of weather systems, particularly in light of current climate change scenarios. The conversation emphasizes the nonlinear interactions within the atmosphere, which contribute to its chaotic nature.

PREREQUISITES
  • Understanding of chaotic systems and their characteristics
  • Familiarity with the Lorenz attractor model
  • Knowledge of Lyapunov exponents and their significance in chaos theory
  • Basic concepts of atmospheric dynamics and nonlinear systems
NEXT STEPS
  • Research the implications of the Lorenz attractor in modern meteorology
  • Study the calculation and application of Lyapunov exponents in chaotic systems
  • Explore nonlinear dynamics in atmospheric science
  • Investigate current climate models and their predictions regarding weather stability
USEFUL FOR

Students and professionals in meteorology, climate science researchers, and anyone interested in the mathematical foundations of chaotic systems and their applications to weather prediction.

Yoni
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Many people consider the weather as a system which exhibits chaotic behaviors ('the butterfly effect' introduces weather as an example for chaos). But what are the reasons for that? Why are we so sure that weather is chaotic? Is it because people can't manage to predict it a long time in advance, or is there a deeper explanation for this?

As I understand a chaotic systems is a systems which exhibits dynamics that are highly sensitive to initial conditions. Which means that the ratio between initial uncertainty and the uncertainty after a period of time is very small (which also gives a possible measurable quantity for chaos, or rather the inverse of chaos). Does this definition seem valid?
 
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Yoni said:
Many people consider the weather as a system which exhibits chaotic behaviors ('the butterfly effect' introduces weather as an example for chaos). But what are the reasons for that? Why are we so sure that weather is chaotic? Is it because people can't manage to predict it a long time in advance, or is there a deeper explanation for this?

One of the "typical chaotic systems", the Lorenz attractor was in fact a hugely simplified model of atmospheric dynamics:
http://en.wikipedia.org/wiki/Lorenz_attractor

That doesn't prove of course that the true dynamics of the atmosphere are so, but chances are big that it is.

As I understand a chaotic systems is a systems which exhibits dynamics that are highly sensitive to initial conditions. Which means that the ratio between initial uncertainty and the uncertainty after a period of time is very small (which also gives a possible measurable quantity for chaos, or rather the inverse of chaos). Does this definition seem valid?

Yes. This measure is precisely quantified by something that is called the Liapunov exponent(s): http://en.wikipedia.org/wiki/Lyapunov_exponent
 
The 'weather' (meaning the flow of various components to the air, heat flow, interactions with the oceans, land, and near-space, various phase transitions, etc. etc.) is certainly nonlinear.

Is the weather chaotic? I don't know- 'chaos' is a specifically defined term. Is the weather system even stable? Again, that's not clear either, especially given the current doomsday scenarios of 'runaway weather'.
 

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