On numerical predictability in the chaos system

被引：114

作者：

Feng, GL ^{[1
]}

Dai, XG

Wang, AH

Chou, JF

机构：

[1] Yangzhou Univ, Dept Phys, Math & Phys Coll, Yangzhou 225009, Peoples R China

[2] Lanzhou Univ, Dept Atmospher Sci, Lanzhou 730000, Peoples R China

来源：

ACTA PHYSICA SINICA | 2001年 / 50卷 / 04期

关键词：

self-memorization; uncertainty principle; maximally effective computation time;

D O I：

10.7498/aps.50.606

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页码：606 / 611

页数：6