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20031017: Gempak - IRIX64 - GDTSER and superimpose multiple model time series

Christian,

The way to sumperimpoise multiple GDTSER plots is to fix the
horizontal and vertical scales of the plot with TAXIS and YAXIS.

For example, I have 2 data sets, ETA which is a 60 hour run starting at 19/1200,
and ETA212 which is a 48 hour run starting at 19/1800.

So, these data sets have different initial times, different grids, and
different output intervals (6 hourly for the ETA on grid 211, and 3 hourly on 
ETA
on grid 212).

In these cases, I can use GDATTIM=all, since the data is available at all 
forecast hours in
either grid:
 GPOINT   = den
 GDATTIM  = all
 GLEVEL   = 850
 GVCORD   = pres
 GFUNC    = tmpc
 GDFILE   = eta
 PTYPE    = lin
 TAXIS    = 19/12-22/00-3
 YAXIS    = 5/35
 BORDER   = 3
 LINE     = 2
 MARKER   = 5
 TITLE    = 6
 CLEAR    = n
 SCALE    = 0
 PANEL    = 0
 DEVICE   = xw
 TEXT     = 1/1/1/sw
 GEMPAK-GDTSER>

 GDFILE   = eta212
 TAXIS    = 19/12-22/00-3
 YAXIS    = 5/35
 GEMPAK-GDTSER>

In this case, you really do have to have some idea on the data range of your 
output values
to fix the YAXIS, and you neex to know the time interval for your TAXIS, so 
tyhat the range will
be the same, even though the model times are different.

Where you have more difficulty is when data is missing at certain forecast 
hours within a grid.
In those cases, you have to use GDATTIM to specify the forecast hours to be 
plotted,
and you would have to do that independently for each data set.

Steve Chiswell



>From: "Christian =?ISO-8859-1?Q?Pag=E9?=" <address@hidden>
>Organization: UCAR/Unidata
>Keywords: 200310171351.h9HDpifa000662

>Institution: Universite du Quebec a Montreal / Atmospheric Science Group
>Package Version: 5.6.K
>Operating System: IRIX64
>Hardware Information: SGI
>Inquiry: Hi,
>
>Is there a way to use gdtser to produce time series of let's say one variable 
> (TMPC at 850 mb) for a lot of models at the same time, that have different gr
> ids and forecast hours?
>
>I tried but had some problems:
>1- Sometimes the given variable is missing at some forecast hours in one parti
> cular model
>2- The forecast hours for the different models are not the same
>3- The grids are not the same
>
>Thanks,
>
>
>