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CS499 Senior research project Weather forecast simulation using Nonlinear dynamics Shin. Jeongkyu, Dept. of Physics, POSTECH Leading Prof. Kim. Daejin
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2 Progress Make a controlled environment that have some fluctuations like weather in nature (~4.13) Do an experiment about some situations.(~4.20) Make new simple equations for explaining.(~4.30) Write a program that can simulate those situations using new theory and equations.(~5.13) Make a tutor program and manual.(~5.30) Weather forecast simulation using Nonlinear dynamics
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3 Theoretical explanation(1) Logistic map Simple nonlinear maps could have very complicated dynamics. Simple question : Fish in a pond problem How the population of fish changes? Simplest example – By changing r, we can see the variety in this dynamics. Weather forecast simulation using Nonlinear dynamics
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4 Theoretical explanation(2) Periodic doubling Can see when r is increased. Universal : Feigenbaum constant. (1980) Chaos and Periodic windows The limit value of r exists. What happens if we choose r over limited? Bifurcation diagram. Weather forecast simulation using Nonlinear dynamics
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5 Theoretical explanation(3) Example : Bifurcation Diagram Weather forecast simulation using Nonlinear dynamics
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6 Ideas & Requirements(1) The Sun heats ocean when daytime, and it turns cold when night comes. It seems to a 1-dimensional map problem. Basic assumption : A beaker with water as ocean, timer customized hot plate as the Sun. Change the time difference as a factor of this system. Expectation : Will it look like a quadratic equation? Weather forecast simulation using Nonlinear dynamics
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7 Ideas & Requirements(2) Setting and measures Hot plate with a electric timer A digital thermometer that can write several data directly to the computer using RS232C pt. Seems not to exist at POSTECH. Have a plan to make it. Laboratory that has a confined environment for doing experiments. Weather forecast simulation using Nonlinear dynamics
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8 Reference Steven H. Strogatz. Nonlinear dynamics and chaos, 1 st ed. Westbook press, 2000, Part III.(chaos) Weather forecast simulation using Nonlinear dynamics
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