The structure of your variable after the vertical interpolation
presumably looks something like:
x(time,plvl)
where dimension time is size 3: t = (/7, 10, 13/)
tnew = fspan(7,13,7)
xint = linint_n(t,x,False,tnew,0,0)
or, if meta data is associated ith 'x'
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
xint = linint_n_Wrap(t,x,False,tnew,0,0)
-- printVarSummary(xint) On 8/24/12 7:49 AM, Bogdan Antonescu wrote: > Hi, > > Thank you very much for your answer. > > Using int2p I was able to interpolate the radiosonde data to specified > levels. > Unfortunately I was not able to do the interpolation in time. I have been > looking at the web page for linint1, and I have tried to use the > function for my data. > > Could you please help me. Basically what I have not is this array with > temperature from > radiosonde at 07 UTC, 10UTC and 13UTC: > > time_07UTC time_10UTC time_13UTC > 32 30 33 > 31 31 31 > 30 31 31 > 29 27 30 > 28 25 29 > ... ... ... > > and I want to obtain an array that will have the following structure: > > time_07UTC time_08UTC time_09UTC time_10UTC > ... time_13UTC > (data radisonde) (interpolated data) (interpolated data) (data > radisonde) ... (radisonde data) > > Thank you very much for you answer. > > Cheers, > Bogdan > > On 22/08/12 17:55, Dennis Shea wrote: >> Yes, NCL can do it. >> >> [1] Interpolate the raob data vertically to specified pressure >> levels using >> http://www.ncl.ucar.edu/Document/Functions/Built-in/int2p.shtml >> or >> http://www.ncl.ucar.edu/Document/Functions/Built-in/int2p_n.shtml >> >> >> [2] Take the resut of [1] and interpolate in time via >> http://www.ncl.ucar.edu/Document/Functions/Built-in/linint1.shtml >> or >> http://www.ncl.ucar.edu/Document/Functions/Built-in/linint1_n.shtml >> >> ========== >> >> >> If you are "new to NCL" please read the Mini-Language manual at: >> >> http://www.ncl.ucar.edu/Document/Manuals/ >> >> >> >> >> On 8/22/12 8:19 AM, Bogdan Antonescu wrote: >>> Hi, >>> >>> I have a series of radiosonde data unevenly spaced (e.g., 0700, 1000, >>> 1200, 1600, and 1900 UTC) and I >>> want to plot a cross section in time based on this radiosonde data >>> (e.g., time vs. height for temperature). >>> In order to obtain the plot I need to interpolated vertically >>> (height) and horizontaly (time) in order to obtain >>> a evenly spaced dataset. >>> >>> I am new to NCL and I am wondering if this type of plot can be done >>> in NCL. >>> >>> Thak you very much for your answer. >>> >>> Cheers >>> Bogdan >>> >>> _______________________________________________ >>> ncl-talk mailing list >>> List instructions, subscriber options, unsubscribe: >>> http://mailman.ucar.edu/mailman/listinfo/ncl-talk >>> > _______________________________________________ ncl-talk mailing list List instructions, subscriber options, unsubscribe: http://mailman.ucar.edu/mailman/listinfo/ncl-talkReceived on Sat Aug 25 07:45:54 2012
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