>Date: Tue, 29 Nov 2005 17:24:06 +0100
>From: Dietrich Göttlicher <dietrich.goettlicher_at_staff.uni-marburg.de>
>To: ncl-talk_at_ucar.edu
>Dear all,
>does someone have a good idea to produce long-term monthly means from
>four-time daily data?
>I have a netCDF-file with dimensions long, lat, level and time (4 times
>per day 0, 6, 12 and 18 hours, NCEP reanalysis data). I want to
>calculate seperated monthly means for the four different timeslots. Is
>it possible to do it with NCL or do I need some other packages like NCO
>or CDO. Thank you very much for any suggestions.
---
I'm sure you could use the NCO but you
should ask the NCO user community how best to do this.
If you get a response, please send it to me :-)
---
I assume the above dimension order is such that
lon is the fastest varying dimension?
Yes, it can be done via NCL.
A crude 0th order start would be:
Assuming you have a directory containing the netCDF files
and each file has a months worth of data
diri = "./" ; "/where/ever/"
fils = systemfunc("cd "+diri+" ; ls *balh*nc)
print(fils)
do nf=0,nfils-1
f = addfile (diri+fils(nf), "r")
x = f->X ; (time,lev,lat,lon)
do nt=0,3
xTemp = dim_avg_Wrap( x(lev|:,lat|:,lon|:,time|nt::4) )
printVarSummary(xTemp)
:
end do
end do
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Received on Tue Nov 29 2005 - 11:14:16 MST
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