[gradsusr] Grads computation speed

[JPB]

Hello, 

grib1 is faster because it does not need decompression process compared to 
grib2 

regards, 

JPB 

Jonas Kaufmann writes: 

> Hello, 
> 
> which one should be faster then, grib1 or grib2? Does the projection
> of the file have an influence on the computation speed? 
> 
> Best regards,
> Jonas Kaufmann 
> 
> On Fri, May 21, 2010 at 15:20, JPB <info at a-conseil.com> wrote:
>> 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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