The Lorenz 96 model is a dynamical system formulated by Edward Lorenz in 1996. It is defined as follows. For i = 1 , . . . , N {\displaystyle i=1,...,N} :
d x i d t = ( x i + 1 − x i − 2 ) x i − 1 − x i + F {\displaystyle {\frac {dx_{i}}{dt}}=(x_{i+1}-x_{i-2})x_{i-1}-x_{i}+F}
where it is assumed that x − 1 = x N − 1 , x 0 = x N {\displaystyle x_{-1}=x_{N-1},x_{0}=x_{N}} and x N + 1 = x 1 {\displaystyle x_{N+1}=x_{1}} and N ≥ 4 {\displaystyle N\geq 4} . Here x i {\displaystyle x_{i}} is the state of the system and F {\displaystyle F} is a forcing constant. F = 8 {\displaystyle F=8} is a common value known to cause chaotic behavior. It is commonly used as a model problem in data assimilation.
Python simulation
Julia simulation
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