[gradsusr] Grads computation speed

[JPB]

Hello,

there is a big difference in computation time between grib1 and grib2  
when using grads. Perhaps you have to look at the grib file types...

regards,
JPB

Le 21 mai 10 à 15:16, Jonas Kaufmann a écrit :

> Hello Michael,
>
> I tried on two machines with the same results. One is running Grads
> Version 2.0.a1.oga.1, the other one is OpenGrads Version 2.0.a7.oga.3.
> In both cases using the new version of my model was significantly
> slower than the old one.
>
> The old model used ARWpost as WRF postprocessor, the new one uses
> wrfpost. Both outputs are only customized in terms of available fields
> in the Grib file, all other options should be the default ones.
>
> Thank you for your help!
>
> Best regards,
> Jonas Kaufmann
>
> On Fri, May 21, 2010 at 15:09, Michael Fiorino <michael.fiorino at noaa.gov 
> > wrote:
>> Jonas, you need to tell us the version of grads...  so the old data  
>> is
>> binary and the new data grib? ciao mike
>>
>> On 5/21/10 11:42 AM, Jonas Kaufmann wrote:
>>> Hello,
>>>
>>> I just ran into a problem regarding Grads computation speed. I have
>>> set up a WRF model over Europe and extract surface parameters for
>>> about 4-5000 points in the model for 72 timesteps. Now I tried  
>>> another
>>> WRF version which produces different output files, and the  
>>> computation
>>> speed for my Grads tasks for the new model is much much slower than
>>> before. You can find the first lines of my control files below.
>>>
>>> Using my old model, I could run my complete Grads tasks in about 90
>>> minutes. Using the new setup, this takes forever to complete (had to
>>> skip this as it took too long, think it should be around 180 minutes
>>> or so), of course on the same machine. The main difference must be  
>>> in
>>> the Gribfiles I am using.
>>>
>>> Can anyone explain why this might be happening? Which Gribfile
>>> settings (version, projection etc.) are the best usable ones for
>>> Grads? And finally: how can I improve computation speed for my new
>>> model?
>>>
>>> Thank you for your answer!
>>>
>>> Best regards,
>>> Jonas Kaufmann
>>>
>>>
>>> Old model:
>>> options  byteswapped
>>> pdef  161 146 lcc  47.300    9.800   81.000   73.500  47.30000
>>> 47.30000    9.80000  21000.000  21000.000
>>> xdef  626 linear  -19.84533   0.09459461
>>> ydef  324 linear   31.13766   0.09459461
>>> zdef   27 linear 1 1
>>> tdef   88 linear 21Z26MAY2009      60MN
>>> VARS   14
>>>
>>> New model:
>>> dtype grib 255
>>> pdef 265 211 lccr 31.202000 -10.532000 1 1 47.515000 47.515000
>>> 10.025000 14684 14768
>>> xdef 265 linear -10.532000 0.156066529170106
>>> ydef 211 linear 31.202000 0.134254545454545
>>> tdef 1 linear 00Z24may2010 1mo
>>> zdef 1 linear 1 1
>>> vars 16
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>>
>
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