Lorenz '96 model
Version 1.0.0.0 (1.54 KB) by
Javier Amezcua
Lorenz/Emmanuel 1996 chaotic model usually used to test data assimilation systems.
X = lorenz4D(tf,F,pert)
In general, the Lorenz model is: (cyclical)
dX[j]/dt=(X[j+1]-X[j-2])*X[j-1]-X[j]+F
We use
J=40; %the number of variables
h=0.05; %the time step, equivalent to 6 hours
For the imput: tf is final time, F is the perturbation generally chosen to be 8 and pert is the perturbation (in the 20th variable) which is of the order of 10^-3.
Cite As
Javier Amezcua (2024). Lorenz '96 model (https://www.mathworks.com/matlabcentral/fileexchange/25054-lorenz-96-model), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2006b
Compatible with any release
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Version | Published | Release Notes | |
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1.0.0.0 |