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ON NUMERICAL PREDICTABILITY IN THE CHAOS SYSTEM

DAI XIN-GANG WANG AI-HUI CHOU JI-FAN FENG GUO-LIN

ON NUMERICAL PREDICTABILITY IN THE CHAOS SYSTEM

DAI XIN-GANG, WANG AI-HUI, CHOU JI-FAN, FENG GUO-LIN
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  • Abstract views:  3794
  • PDF Downloads:  979
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Publishing process
  • Received Date:  30 April 2000
  • Accepted Date:  28 July 2000
  • Published Online:  05 February 2001

ON NUMERICAL PREDICTABILITY IN THE CHAOS SYSTEM

  • 1. (1)兰州大学大气科学系,兰州730000; (2)扬州大学理学院物理系,扬州225009

Abstract: The rounding-off error introduces uncertainty in the numerical solution. A computational uncertainty principle was explained by using climate model and the Rossler and super chaos system, and the maximally effective computation time and optimal stepsize are discussed. Under optimal stepsize in solving nonlinear ordinary differential equations, self-memorization equations of chaos systems constitute a new approach to numerical weather prediction.

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