[ncl-talk] Fourier decompose
Soma Roy
somaroy892 at gmail.com
Mon Feb 25 01:56:20 MST 2019
As per the below;
ntim = 8
nlat = 6
mlon = 8
x = *random_normal*
<http://www.ncl.ucar.edu/Document/Functions/Built-in/random_normal.shtml>(
10, 5, (/ntim,nlat,mlon/) )
xNew = new( *dimsizes*(x), "float")
do nt=0,ntim-1
; ANALYSIS
coef = *fft2df* (x(nt,:,:_) ; *coef: ; [2] x
[6] x [5] ; [2] x [nlat] x [mlon/2+1]*
; do something with coef *<== *YOUR* responsibility*
xNew(nt,:,:) = *fft2db*
<http://www.ncl.ucar.edu/Document/Functions/Built-in/fft2db.shtml>
(coef) ; SYNTHESIS
end do
We can see that longitude is reduced from 8 to 5..
Can we place time dimension on that place keeping latxlon as total
grid points in the 2 nd dimension?
Otherwise at the time of spatial plot, no.of grids will be short due
to the reduction along longitude.
Kindly inform me about the above issue.
Let me know if I am thinking wrong in it.
Thanking you,
Soma
On Sat, Feb 23, 2019, 04:02 Gus Correa <gus at ldeo.columbia.edu wrote:
> Just follow the very clear script outline that Dennis sent to you.
> And where he wrote:
>
> >> ; do something with coef *<== *YOUR* responsibility*
>
> take responsibility and do it.
> Maybe, create a 4D array of dimensions (time, 2, k_lon, k_lat), (or if you
> prefer (2,time,k_lon,k_lat) ),
> where k_lon, k_lat are the corresponding wavenumber index dimension sizes,
> and for each time record,
> save the output of fft2df in the corresponding (time, :, :, :) array
> section/slice.
> You may want to read the fft2df documentation to understand what you're
> doing, and create the array
> to store what the function returns (complex numbers, separated in real and
> imaginary parts) with the correct size:
>
> http://www.ncl.ucar.edu/Document/Functions/Built-in/fft2df.shtml
>
> On Fri, Feb 22, 2019 at 3:37 PM Soma Roy <somaroy892 at gmail.com> wrote:
>
>> Then how can I proceed?
>> Please give me a hint..
>>
>> Soma
>>
>> On Sat, Feb 23, 2019, 00:47 Gus Correa <gus at ldeo.columbia.edu wrote:
>>
>>> If what you want is the *spatial* 2D Fourier Transform
>>> (" fourier decomposition ... over lat lon", as stated in your original
>>> email),
>>> i.e., if you're interested in the 2D wavenmuber components (not in the
>>> time frequencies)
>>> you have to do it separately for each time record, as Dennis explained.
>>>
>>> You can apply the 2D Fourier Transform function to the 2D array formed
>>> by the reshaped
>>> lat,lon coordinates (into a 1D array) concatenated over the time
>>> dimension,
>>> because all you need to apply a 2D Fourier transform is a 2D numerical
>>> array,
>>> regardless of the meaning of the array components.
>>> However, the result won't be the " fourier decomposition ... over lat
>>> lon" that you said you want.
>>>
>>> I hope this helps,
>>> Gus Correa
>>>
>>>
>>>
>>> On Fri, Feb 22, 2019 at 1:24 PM Soma Roy <somaroy892 at gmail.com> wrote:
>>>
>>>> Best idea will be use nlat*nlon as total grid points using reshape and
>>>> reorder the data so that input to the fft2df will be 2 dimensional (ngrids,
>>>> ntim).
>>>>
>>>> Coef will then give you output as 2 x ngrids x (ntim/2+1).
>>>>
>>>> Soma
>>>>
>>>> On Fri, Feb 22, 2019, 21:32 Soma Roy <somaroy892 at gmail.com wrote:
>>>>
>>>>> Glad to know.
>>>>> Many thanks Dennis.
>>>>>
>>>>> Soma
>>>>>
>>>>> On Fri, Feb 22, 2019, 21:09 Dennis Shea <shea at ucar.edu wrote:
>>>>>
>>>>>> *Please do not send direct emails to people. Only to ncl-talk.*
>>>>>>
>>>>>> If "X" is the data then how can we use it?
>>>>>>
>>>>>> X (ntime, nlat, nlon).
>>>>>>
>>>>>> Output result matrix should be same as X.
>>>>>> ==============
>>>>>>
>>>>>> *As noted in the documentation, *the function is prototyped as
>>>>>> 2-dimensional
>>>>>>
>>>>>> *function fft2df ( x [*][*])*
>>>>>>
>>>>>> As I said, you must use a do loop. It is user (your) responsibility
>>>>>> to do any book keepind [savinh]
>>>>>>
>>>>>> ntim = 8
>>>>>> nlat = 6
>>>>>> mlon = 8
>>>>>> x = *random_normal* <http://www.ncl.ucar.edu/Document/Functions/Built-in/random_normal.shtml>( 10, 5, (/ntim,nlat,mlon/) )
>>>>>> xNew = new( *dimsizes*(x), "float")
>>>>>>
>>>>>> do nt=0,ntim-1
>>>>>> ; ANALYSIS
>>>>>> coef = *fft2df* (x(nt,:,:_) ; *coef: [2] x [6] x [5] ; [2] x [nlat] x [mlon/2+1]*
>>>>>>
>>>>>> ; do something with coef *<== *YOUR* responsibility*
>>>>>>
>>>>>> xNew(nt,:,:) = *fft2db* <http://www.ncl.ucar.edu/Document/Functions/Built-in/fft2db.shtml> (coef) ; SYNTHESIS
>>>>>>
>>>>>> end do
>>>>>>
>>>>>> Please do not use this if you do not know how to use 2D FFT output.
>>>>>> ncl-talk can not become your programmer.
>>>>>>
>>>>>> Again, as noted in the function documentation, a readable introduction to 2D-FFT is at:
>>>>>> *http://www.dspguide.com/pdfbook.htm* <http://www.dspguide.com/pdfbook.htm>
>>>>>> ===
>>>>>> As noted in the documentation, NCL uses* FFTPACK5 <https://www2.cisl.ucar.edu/resources/legacy/fft5> *developed by Paul Swarztrauber and Richard Valent.
>>>>>> The specific Fortran subroutines used are:
>>>>>> * fft2df:
>>>>>> http://www2.cisl.ucar.edu/resources/legacy/fft5/documentation#rfft2f.html <http://www2.cisl.ucar.edu/resources/legacy/fft5/documentation#rfft2f.html>
>>>>>>
>>>>>> fft2db:
>>>>>> http://www2.cisl.ucar.edu/resources/legacy/fft5/documentation#rfft2b.html <http://www2.cisl.ucar.edu/resources/legacy/fft5/documentation#rfft2b.html>
>>>>>> *
>>>>>>
>>>>>>
>>>>>> On Fri, Feb 22, 2019 at 8:06 AM Soma Roy <somaroy892 at gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> If "X" is the data then how can we use it?
>>>>>>>
>>>>>>> X (ntime, nlat, nlon).
>>>>>>>
>>>>>>> Output result matrix should be same as X.
>>>>>>>
>>>>>>> Soma
>>>>>>>
>>>>>>>
>>>>>>> On Fri, Feb 22, 2019, 20:24 Dennis Shea <shea at ucar.edu wrote:
>>>>>>>
>>>>>>>> Please look at NCL's function documentation
>>>>>>>>
>>>>>>>>
>>>>>>>> *http://www.ncl.ucar.edu/Document/Functions/Built-in/fft2df.shtml
>>>>>>>> <http://www.ncl.ucar.edu/Document/Functions/Built-in/fft2df.shtml>
>>>>>>>> <http://goog_952811495>*
>>>>>>>> *http://www.ncl.ucar.edu/Document/Functions/Built-in/fft2db.shtml*
>>>>>>>> <http://www.ncl.ucar.edu/Document/Functions/Built-in/fft2db.shtml>
>>>>>>>>
>>>>>>>> You will have to loop over each time step.
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On Fri, Feb 22, 2019 at 12:09 AM Soma Roy <somaroy892 at gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Hello,
>>>>>>>>> I have a time series data (ntime, nlat, nlon) in spatial domain. I
>>>>>>>>> want to calculate fourier decomposition of the same over lat lon.
>>>>>>>>> How to do it using ncl? Is there any function available for the
>>>>>>>>> above?
>>>>>>>>>
>>>>>>>>> Kindly inform.
>>>>>>>>>
>>>>>>>>> Thank you,
>>>>>>>>> Soma
>>>>>>>>> _______________________________________________
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