CS382:Chaos

From Earlham CS Department
Revision as of 07:33, 24 February 2009 by Takizmi (talk | contribs) (Lab Activity)
Jump to navigation Jump to search

Climate Model

Background Reading

Lecture Note

  • Lecture 1:
    • Story of Edward Lorenz
    • How he found butterfly effect
    • Introducing the weather model which Lorenz used
  • Lecture 2:
    • Climate model
    • Introducing NetLogo-like climate model
    • Basic of earth science (showing the relationship among temperature, pressure, wind, and humidity)
  • Lecture 3:
    • Numerical weather prediction
    • Introducing how weather channel forecasts tomorrow's climate
    • Different between numerical weather prediction and deterministic climate model
    • NOAA
  • Lecture 4:
    • Global warming
    • Can computer scientist predict climate 100 years later?
    • Super computer for climate model (earth simulator, etc)

Classroom Response Question

  • Who found butterfly effect?
    • a. Edward Lorenz
    • b. Hendrik Lorentz
    • c. Edward Teller
    • d. Edward VIII
  • What is the chance of rain tomorrow?
    • a. 30%
    • b. 40%
    • c. 50%
    • d. (from weather channel)
  • How accurate are weather forecasts?
    • a. 100%
    • b. 90%
    • c. 80%
    • d. 70%

Lab Activity

  • To modify source code, compute lorenz attractor. GNU Plot can plot a 3 dimensional graph. A variety of shapes will be displayed depending on initial parameters.
  • To show chaotic system (climate might be to complex)
  • Look up Shodor (function flyer)
  • Lorenz Attractor

Scheduling