Grib data

[Frank Bandle]

Hi Wesley

BIT-Torrent could be a good idea to speed up  performance for gfs
forecast data

regards Frank


Dipl. Met. Frank Bandle
frank at bandle.com * FeMax Wetteragentur IT & Medienberatung
www.wetter365.net * www.femax.de



Am 21.08.2006 um 19:45 schrieb Wesley Ebisuzaki:

> Scot Lilly wrote:
>>
>> My meteorologist and I are looking for two things.
>>
>>
>>
>> 1.)     We currently use a Linux virtual server to download the GFS
>> operational data off of the NOAA http server.  This data seems to be
>> somewhat quick in manner, however we find that sometimes it can get
>> hung up and even not work to some extent slowing down our time to
>> analyze the data.  Are there any known locations and/or methodologies
>> to get this data quicker so that we can get the most current model
>> runs.
>>
>>
>>
>
> Using the http server to download specific grib records is about as
> efficient as you can get.
> For others, the reference is,
>
>   http://www.cpc.ncep.noaa.gov/products/wesley/
> fast_downloading_grib.html
>
> The problem is that many people want to download the GFS forecasts as
> soon as they are available and
> do it within a few minutes.  In a quest to get the data quickly as
> possible, the users will overload the servers.
>
> Any comments about using bit-torrent for gfs forecast data?
>
>       Wesley Ebisuzaki
>
>
>> 2.)     We are trying to find some kind of consistent format for
>> getting hurricane model tracks so that we can feed it to Grads.  Our
>> problem is that we have tried to use the text file that comes from
>> the
>> NOAA and feed it into a spreadsheet to create a csv-ascii output
>> file.  However, the problem is that the file format often changes
>> requiring manual modifications to create the proper output.  We are
>> looking for any type of consistent sheet (that does not change
>> formats) and/or a grib file.  Any suggestions would be extremely
>> helpful.
>>
>>
>>
>> We are open to any new ides for getting data in the most efficient
>> and
>> timely manner, less spending thousands of dollars.
>>
>>
>>
>> Thanks for your time and look forward to any and all comments.
>>
>>
>>
>>
>>
>> Scot Lilly
>>
>>
>>
>>
>>
>>
>>