Hello,
I want to calculate standardized anomaly of a time series of dimension:
year x month x lat x lon. The concept is to remove the mean monthwise on
each grid cell, that is, for each grid, calculate the mean of all January
of year_1-year_n, remove the mean, and standardize the deviation by the
std_dev of the January time series.
I wonder whether the dim_standardize_n function does this job?
If it does, should I use it like this: output = dim_standardize_n(data,0,1)
?
Thanks,
Xin
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Received on Mon Jan 13 12:19:58 2014
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