Time lag correlation


Using @shf (shift), we can do time lag correlation, ref(little different, but useful!!)

! Define your variables to be correlated
let p = sst
let q = wind ! (or what ever the variable names are)
go variance
contour correl ! (contours the correlations)

This will give simultaneous correlations.  To get lag and leads use the 
transformation @shf when defining p or q.  For example:

Let q = wind[L=@shf:5]

The 6th time step in the original time series of q now becomes the first 
etc.  Thus p (sst) leads q (wind) by 5 when you do the correlation.  You 
can use negative numbers also.

So, Simple. 🙂

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