[ncl-talk] removing ensemble mean from original data
Sri nandini
bax8609 at uni-hamburg.de
Fri Jun 12 06:28:46 MDT 2020
Thanx very much!
That works!
Sri
On 12.06.20 14:06, Rashed Mahmood wrote:
> Please add ncl-talk in subsequent messages...
>
> In that case, my suggestion in previous message should work.
>
> Rashed.
>
> On Fri, Jun 12, 2020 at 1:55 PM Sri nandini <bax8609 at uni-hamburg.de
> <mailto:bax8609 at uni-hamburg.de>> wrote:
>
> Thank you.
>
> I wish to remove the ensemble mean from each corresponding time of
> each ensemble.
>
> Sri
>
> On 12.06.20 13:48, Rashed Mahmood wrote:
>> If you just want to remove ensemble mean then you could do the
>> following:
>>
>> x_new = x
>> ens_mean = dim_avg_n_Wrap(x,1)
>> do n=0,nens-1
>> x_new(:,n,:,:) = x(:,n,:,:) - ens_mean
>> end do
>>
>> However, please make sure that this is what you want!, it is up
>> to you to decide and know what you are trying to accomplish here.
>> Your variable names suggest that there could be some confusion...
>>
>> Cheers,
>> Rashed
>>
>>
>>
>>
>>
>> On Fri, Jun 12, 2020 at 12:50 PM Sri nandini via ncl-talk
>> <ncl-talk at mailman.ucar.edu <mailto:ncl-talk at mailman.ucar.edu>> wrote:
>>
>> Hello dear ncl-users,
>>
>> I want to know the best way to remove the ensemble mean from the
>> corresponding time of each ensemble member. Can someone tell
>> me if the
>> following code is correct? i do not get any error but i
>> wanted to be
>> sure of the method.
>>
>> Thanx in advance
>>
>> Sri
>>
>> ;==================================================================
>> ; Remove the ensemble mean from each ensemble member
>> ;==================================================================
>> dimx = dimsizes(x)
>> ntim = dimx(0) ; 240
>> nens = dimx(1) ; 100
>> nlat = dimx(2) ; 45
>> mlon = dimx(3) ; 90
>>
>> nmos = 12
>> nyrs = ntim/nmos ; 21
>>
>> printVarSummary(x) ;[time | 240] x [ens | 100] x
>> [lat | 45] x [lon | 90]
>> ens_mean=dim_avg_n_Wrap(x,1)
>> printVarSummary(ens_mean);[time | 240] x [lat | 45] x
>> [lon | 90]
>>
>> detrended_x = x
>> do nt=0,ntim-1
>> nmo = nt%12
>> do ne=0,nens-1
>> detrended_x(nt,ne,:,:) = (/ x(nt,ne,:,:) -
>> ens_mean(nmo,:,:) /) ; detrended array
>> end do
>> end do
>> detrended_x at long_name = “Ensemble mean removed”
>>
>> printVarSummary(detrended_x)
>> [time | 240] x [ens | 100] x [lat | 45] x [lon | 90]
>>
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