[ncl-talk] Remove Global mean SST from the SST data
Dennis Shea
shea at ucar.edu
Mon Nov 4 21:30:25 MST 2019
One approach:
;--- Global: only 60S-60N
sstGlb = f->SST(iStrt:iLast,{-60:60},:) ; read Global
data (limit 60S to 60N)
printVarSummary(sstGlb)
sstGlbClm = clmMonTLL(sstGlb) ; climatology
for clm period
printVarSummary(sstGlbClm)
sstGlbAnom= calcMonAnomTLL ( sstGlb , sstGlbClm ) ; anomalies at
each grid point
printVarSummary(sstGlbAnom) ; from base climatology
On Mon, Nov 4, 2019 at 8:00 PM dickson mbigi via ncl-talk <ncl-talk at ucar.edu>
wrote:
> Dear concerned expert,
> I am preparing a script to perfom decadal MAM EOF over Indian oceans
> using ERSSTV5 data set.
> Steps prior to do EOF:
> 1) Select the three months of March-May and do the seasonal mean;
> 2) Do a 9-year running average (Lanczos filter)
> 3) Do the linear regression on the global mean SST and keep the residual
> for latter EOF analysis (i.e. remove the global mean component at each grid
> point).
>
> I cannot figure out the third step on how to remove the global mean
> component at each grid point.
>
> Kindly I am writing to ask for any assistance or directive regarding the
> said concern.
>
> Regards,
> Dickson.
>
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